AI Knowledge Base

AI Capabilities and Limitations

Mon, 01 Jan 0001 00:00:00 +0000

A concise introduction to what AI can and cannot do — the companion course to the AI Fluency Framework. Explains the machine properties (how AI actually works) that the 4D Framework competencies respond to. Essential for product managers and business leaders who need to understand AI capabilities at a conceptual level before making product decisions. Pairs with the AI Landscape for Product Leaders learning path.

AI Fluency: Framework & Foundations

Mon, 01 Jan 0001 00:00:00 +0000

Anthropic’s foundational AI fluency course teaching the 4D Framework — Delegation, Description, Discernment, and Diligence — for effective AI collaboration. Co-created with university professors (UCC, Ringling College), this goes beyond prompt engineering to teach a systematic approach for working with AI effectively, efficiently, ethically, and safely. The 4D Framework provides a mental model that transfers across any AI tool, not just Claude. Start here before the audience-specific fluency courses.

AI for Everyone

Mon, 01 Jan 0001 00:00:00 +0000

Andrew Ng’s definitive non-technical introduction to AI — the single best starting point for anyone who wants to understand what AI can and cannot do without writing a line of code. Covers AI terminology, what machine learning is, what data it needs, and how to spot opportunities for AI in your organization. Over 4 million enrollments make this the most popular AI course ever created. Take this before any other course if you’re new to AI.

Building with the Claude API

Mon, 01 Jan 0001 00:00:00 +0000

The most comprehensive free course on building with Claude’s API — 21 lessons covering everything from basic API calls to tool use, structured outputs, and agent patterns. This is Anthropic’s flagship developer course and the definitive companion to the Claude API documentation in this knowledge base. If you’re building production applications with Claude, this course provides the hands-on practice that documentation alone cannot. Take this alongside the Claude API Essentials learning path.

Emerging Architectures for LLM Applications

Mon, 01 Jan 0001 00:00:00 +0000

Reference architecture for the LLM application stack, covering data pipelines, embedding models, vector databases, orchestration frameworks, and operational tooling.

Fundamentals of Deep Learning

Mon, 01 Jan 0001 00:00:00 +0000

NVIDIA’s flagship deep learning workshop — 8 hours of hands-on training with GPU cloud servers included. Covers neural network fundamentals, CNNs, data augmentation, and deployment. The unique selling point is access to NVIDIA’s cloud GPU infrastructure during the course, so you train real models without setting up your own hardware. The most hardware-focused deep learning course available, taught from the perspective of the company that makes the chips.

GitHub Spec Kit

Mon, 01 Jan 0001 00:00:00 +0000

Open-source CLI toolkit for specification-driven development. Provides a four-phase gated workflow: Specify, Plan, Tasks, Implement.

Machine Learning Specialization

Mon, 01 Jan 0001 00:00:00 +0000

Andrew Ng’s updated Machine Learning course with Stanford — the modern successor to the original Coursera ML course that launched the online AI education movement. Three courses covering supervised learning, advanced algorithms, and unsupervised learning using Python and TensorFlow. The most rigorous free ML foundation available, with the Stanford brand adding credential weight. If you want one certification that signals ML competence, this is it.

My LLM Coding Workflow Going into 2026

Mon, 01 Jan 0001 00:00:00 +0000

Addy Osmani’s end-to-end workflow for AI-assisted coding, emphasizing specification as the critical input that determines output quality.

Prompt Engineering Across Providers

Mon, 01 Jan 0001 00:00:00 +0000

Master prompt engineering by studying best practices from Anthropic, OpenAI, and Mistral. Then see how DSPy challenges the entire paradigm by replacing prompts with programs.

Comparing approaches across providers gives you deeper intuition than studying any single provider’s guide.

Spec-Driven Development

Mon, 01 Jan 0001 00:00:00 +0000

Wikipedia overview of specification-driven development as a software methodology where formal specs precede and drive implementation.

Symphony Overview

Mon, 01 Jan 0001 00:00:00 +0000

Symphony turns project work into isolated, autonomous implementation runs. It polls issue trackers, spawns coding agents per issue in isolated workspaces, and manages the full lifecycle from ticket to merged PR.

The Economic Potential of Generative AI: The Next Productivity Frontier

Mon, 01 Jan 0001 00:00:00 +0000

Comprehensive analysis of generative AI’s economic impact across industries, quantifying $2.6-4.4 trillion in annual value potential and identifying which business functions will see the greatest transformation.

The EU's AI Act and How Companies Can Achieve Compliance

Mon, 01 Jan 0001 00:00:00 +0000

Practical guide to the EU AI Act — the world’s first comprehensive AI law — explaining risk categories, compliance requirements, and what companies need to do to prepare.

The Rise of the AI Engineer

Mon, 01 Jan 0001 00:00:00 +0000

Analysis of AI Engineer as a distinct emerging role from ML Engineer, arguing that productizing foundation models via APIs requires engineering skills, not research backgrounds.

What Is an AI Agent?

Mon, 01 Jan 0001 00:00:00 +0000

McKinsey’s explainer on AI agents — what they are, how they differ from chatbots, and how they will impact business operations and the workforce.

What Product Managers Need to Know About LLMs

Mon, 01 Jan 0001 00:00:00 +0000

A comprehensive non-technical guide to LLM capabilities, limitations, and practical applications for product managers building AI-powered features.

Who Owns the Generative AI Platform?

Mon, 01 Jan 0001 00:00:00 +0000

Analysis of value distribution across the generative AI stack — applications, models, and infrastructure — with data on margins, cost structures, and where economic value accrues.

16 Changes to the Way Enterprises Are Building and Buying Generative AI

Mon, 01 Jan 0001 00:00:00 +0000

Data-driven analysis of how enterprise leaders are increasing AI budgets and shifting toward multi-model, open-source strategies while moving from experimentation to production.

AI Fluency for Educators

Mon, 01 Jan 0001 00:00:00 +0000

Applies the 4D AI Fluency Framework specifically to teaching and institutional strategy. Designed for faculty, instructional designers, and educational leaders who need to integrate AI into curricula responsibly. Covers practical scenarios: classroom policies, assignment design, academic integrity, and helping students develop AI skills. Take this after the Framework & Foundations course for education-specific applications.

AWS Certified AI Practitioner

Mon, 01 Jan 0001 00:00:00 +0000

AWS’s foundational AI certification — validates understanding of AI/ML concepts, generative AI, and responsible AI within the AWS ecosystem. The training materials are free; only the exam costs $150. This is the most accessible cloud AI certification available and carries weight in enterprises that use AWS. Good for PMs and technical leaders who want a formal credential demonstrating AI literacy.

Claude with Amazon Bedrock

Mon, 01 Jan 0001 00:00:00 +0000

Learn to deploy Claude through AWS Bedrock — covers provisioned throughput, fine-tuning, and enterprise deployment patterns. Essential for teams evaluating how to access Claude in an enterprise AWS environment. This is the deployment-focused complement to the API-focused courses: the API course teaches you how to call Claude, this course teaches you how to run Claude in your cloud infrastructure.

Designing a Responsible AI Program? Start with this Checklist

Mon, 01 Jan 0001 00:00:00 +0000

Eight critical questions organizations should answer before implementing enterprise-wide responsible AI programs to avoid rushing deployment and wasting resources.

Fine-Tuning Large Language Models

Mon, 01 Jan 0001 00:00:00 +0000

One-hour introduction to when and how to fine-tune LLMs — covers the decision framework (prompt engineering vs. fine-tuning vs. RAG), data preparation, training process, and evaluation. The fastest way to understand whether fine-tuning is right for your use case before committing engineering resources. Pairs with the Fine-Tuning Across Providers learning path for provider-specific implementation details.

How 100 Enterprise CIOs Are Building and Buying Gen AI in 2025

Mon, 01 Jan 0001 00:00:00 +0000

Updated enterprise AI survey showing 81% of enterprises now use 3+ model families, with data on procurement patterns, multi-model optimization, and Anthropic’s growing enterprise penetration.

How to Write a Good Spec for AI Agents

Mon, 01 Jan 0001 00:00:00 +0000

Practical guide to writing specifications that AI coding assistants can follow effectively, with templates and examples of good versus bad specs.

Introduction to AI

Mon, 01 Jan 0001 00:00:00 +0000

Created by the University of Helsinki, this is the most accessible and comprehensive non-technical AI course available. With over 2 million signups from 170+ countries and a 4.8/5 rating, it covers AI concepts, machine learning, neural networks, and societal implications through interactive exercises. The 30-hour estimate is generous — most complete it in 15-20 hours. Unlike Andrew Ng’s course which is video-based, this is primarily text-based with embedded exercises, making it excellent for self-directed learners who prefer reading to watching.

Introduction to Model Context Protocol

Mon, 01 Jan 0001 00:00:00 +0000

The only structured course on MCP available anywhere — Anthropic Academy’s introduction covers MCP architecture, the client-server model, tools/resources/prompts primitives, and building your first MCP server. This is the video/hands-on complement to the MCP documentation in this knowledge base. The MCP Fundamentals learning path provides the documentation reference; this course provides the guided walkthrough with exercises.

OpenAI API Essentials

Mon, 01 Jan 0001 00:00:00 +0000

Learn the OpenAI API from first request to advanced features. Covers Chat Completions, function calling, structured outputs, streaming, vision, reasoning models, and embeddings.

SDD Tools: Kiro, Spec Kit, and Tessl

Mon, 01 Jan 0001 00:00:00 +0000

Martin Fowler explores the three leading SDD tools, comparing their approaches to specification authoring, validation, and AI-driven implementation.

Symphony Service Specification

Mon, 01 Jan 0001 00:00:00 +0000

Complete technical specification for implementing Symphony: six architectural layers, orchestration state machine, workspace management, agent runner protocol, polling and scheduling, retry semantics, and observability.

Tessl Spec-Driven Framework

Mon, 01 Jan 0001 00:00:00 +0000

Tessl’s commercial spec-driven framework with a specification registry for team-wide spec management and reuse across projects.

Awesome Spec-Driven Development

Mon, 01 Jan 0001 00:00:00 +0000

Community-curated list of SDD tools, articles, frameworks, and resources. A living index of the SDD ecosystem that is updated as new tools emerge.

Building LLM Applications for Production

Mon, 01 Jan 0001 00:00:00 +0000

Comprehensive guide to production LLM challenges covering prompt engineering, evaluation, cost analysis, latency, fine-tuning vs prompting tradeoffs, and testing strategies.

ChatGPT Prompt Engineering for Developers

Mon, 01 Jan 0001 00:00:00 +0000

The most popular prompt engineering course available — taught by Isa Fulford (OpenAI) and Andrew Ng. In just one hour, covers prompting best practices, iterative prompt development, summarizing, inferring, transforming, and expanding text. Despite the OpenAI branding, the techniques apply to any LLM. The concise format makes it the ideal first technical introduction to prompt engineering before exploring provider-specific approaches in Anthropic’s and OpenAI’s documentation.

Claude API Essentials

Mon, 01 Jan 0001 00:00:00 +0000

Learn the Anthropic API from first principles. Covers the Messages API, tool use, streaming, structured outputs, extended thinking, and cost optimization.

Claude with Google Cloud's Vertex AI

Mon, 01 Jan 0001 00:00:00 +0000

Learn to deploy Claude through Google Cloud’s Vertex AI — covers model garden access, API integration, and enterprise deployment patterns. The Google Cloud counterpart to the Bedrock course. If your organization uses GCP, this is the path to accessing Claude within your existing cloud infrastructure. Useful for the AI Vendor & Platform Evaluation learning path’s deployment topology assessment.

Elixir Reference Implementation

Mon, 01 Jan 0001 00:00:00 +0000

Setup and usage guide for Symphony’s experimental Elixir/BEAM reference implementation, leveraging OTP supervision trees for fault-tolerant agent orchestration.

Evaluating and Debugging Generative AI Models

Mon, 01 Jan 0001 00:00:00 +0000

Covers evaluation metrics, debugging techniques, and systematic testing for generative AI applications using Weights & Biases. The practical companion to the Evaluation & Testing learning path — the course provides hands-on practice with evaluation tools, while the path covers the full evaluation landscape across providers.

Generative AI Glossary for Business Leaders

Mon, 01 Jan 0001 00:00:00 +0000

Plain-language glossary of essential generative AI terms designed for everyone in a company regardless of technical background.

Generative AI's Act Two

Mon, 01 Jan 0001 00:00:00 +0000

Analysis of generative AI’s transition from technology-driven novelty to customer-focused value creation, with updated market maps and vendor landscape organized by use case.

Google Cloud ML Engineer Learning Path

Mon, 01 Jan 0001 00:00:00 +0000

Google Cloud’s professional ML certification path — the most technically rigorous cloud AI certification available. Covers ML model development, MLOps, deployment, and monitoring on Google Cloud. Includes hands-on labs with Vertex AI, BigQuery ML, and TensorFlow. The learning path is free; certification exam is $200. Requires significant ML experience — this is not a beginner credential.

Introduction to Generative AI

Mon, 01 Jan 0001 00:00:00 +0000

A 30-minute micro-course that explains what generative AI is, how it works, and how it differs from traditional machine learning. Google’s concise format makes this the fastest on-ramp to understanding LLMs — take this if you need a quick conceptual foundation before diving into provider-specific content. Covers transformer architecture at a conceptual level without code.

MCP: Advanced Topics

Mon, 01 Jan 0001 00:00:00 +0000

Advanced MCP patterns including complex tool implementations, resource management, transport configuration, authentication, and production deployment. This is the second course in Anthropic’s unique MCP sequence — no other provider offers this depth of MCP training. Pairs with the Building MCP Servers learning path for a complete MCP education: the course provides guided exercises, the path provides documentation deep-dives.

SDD: Unpacking 2025's Key Engineering Practices

Mon, 01 Jan 0001 00:00:00 +0000

ThoughtWorks analysis of how SDD is reshaping engineering practices, positioning specs as the primary artifact in AI-augmented development teams.

Vibe Coding Is Not AI-Assisted Engineering

Mon, 01 Jan 0001 00:00:00 +0000

Distinguishes vibe coding from specification-driven AI-assisted engineering, arguing that specifications are the differentiator between amateur and professional AI-augmented development.

AI Fluency for Nonprofits

Mon, 01 Jan 0001 00:00:00 +0000

Applies AI fluency concepts specifically to nonprofit contexts — fundraising, program delivery, volunteer management, and impact measurement. Addresses the unique constraints nonprofits face: limited budgets, data sensitivity, and mission alignment. Take this after the Framework & Foundations course for sector-specific applications.

Claude 101

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use Claude effectively for everyday work tasks. Covers Claude’s core features, capabilities, and resources for more advanced learning. This is the official product training course for Claude — take it to understand Claude’s strengths and how to get the most out of it before diving into API-level courses or the developer track.

Generative AI Explained

Mon, 01 Jan 0001 00:00:00 +0000

NVIDIA’s no-code introduction to generative AI, designed for anyone regardless of technical background. Covers what generative AI is, how large language models work at a conceptual level, and the applications transforming industries. Shorter and more focused than Elements of AI or AI for Everyone — take this for NVIDIA’s GPU-centric perspective on why generative AI requires different infrastructure than traditional software.

Introduction to Agent Skills

Mon, 01 Jan 0001 00:00:00 +0000

Learn to build structured, reusable capabilities for Claude-based agents using the Agent Skills framework. Covers skill design, packaging, tool orchestration, and deployment patterns. This is Anthropic’s bridge between basic API usage and production agent development — take it after the Claude API course and before diving into the Agent SDK Deep Dive learning path.

Mastering SDD with AI Workflows

Mon, 01 Jan 0001 00:00:00 +0000

Step-by-step implementation guide for adopting SDD with AI coding tools, from initial spec authoring through iterative refinement.

MCP Fundamentals

Mon, 01 Jan 0001 00:00:00 +0000

Go from zero to a solid understanding of the Model Context Protocol. This path covers the core architecture, primitives (tools, resources, prompts), transport mechanisms, and how clients and servers interact.

By the end you’ll understand the MCP mental model well enough to evaluate MCP servers, build simple integrations, and read the specification confidently.

Reinforcement Learning Course

Mon, 01 Jan 0001 00:00:00 +0000

The most accessible free reinforcement learning course available — covers Q-learning, deep Q-networks, policy gradient methods, PPO, and RLHF (reinforcement learning from human feedback). RLHF is the technique that makes ChatGPT and Claude behave helpfully — understanding it gives you insight into how modern LLMs are trained and aligned. Unique coverage that no other free platform provides at this depth.

SDD Overview

Mon, 01 Jan 0001 00:00:00 +0000

Practical overview of specification-driven development fundamentals, aimed at teams considering adoption.

WORKFLOW.md Configuration

Mon, 01 Jan 0001 00:00:00 +0000

The WORKFLOW.md file format: YAML front matter configuring tracker integration, polling intervals, workspace hooks, and agent settings, followed by a markdown prompt template with issue-field substitution.

Claude Code 101

Mon, 01 Jan 0001 00:00:00 +0000

Quick introduction to Claude Code — Anthropic’s agentic coding tool that lives in your terminal. Covers setup, basic usage, and key features. This is the video companion to the Claude Code Mastery learning path: the course gets you started quickly, the path provides comprehensive documentation coverage.

Claude Code Mastery

Mon, 01 Jan 0001 00:00:00 +0000

Master Claude Code from setup through advanced usage. Learn the configuration system, memory, hooks, MCP integration, and how to use it effectively for complex software engineering tasks.

Deep Learning Specialization

Mon, 01 Jan 0001 00:00:00 +0000

Andrew Ng’s legendary 5-course deep learning specialization — the gold standard for understanding neural networks from the ground up. Covers neural network foundations, hyperparameter tuning, CNNs, sequence models, and attention mechanisms. This is the theoretical foundation that makes everything else in this knowledge base make sense. Not a short commitment (60+ hours), but if you want to truly understand how LLMs work under the hood, this is the investment.

Generative AI Foundations

Mon, 01 Jan 0001 00:00:00 +0000

AWS’s free introduction to generative AI — covers foundation models, training approaches, and how generative AI fits into the AWS ecosystem. Provides the AWS perspective on AI infrastructure, which complements the Anthropic and Google viewpoints in this knowledge base. Useful for teams evaluating Bedrock as their AI deployment platform.

Introduction to Responsible AI

Mon, 01 Jan 0001 00:00:00 +0000

Google’s concise introduction to responsible AI practices — covers fairness, interpretability, privacy, and security in AI systems. At just 30 minutes, this is the fastest way to understand the principles that should guide any AI deployment. Pairs well with the AI Safety learning paths in this knowledge base for a more comprehensive view of safety across providers.

Orchestration State Machine

Mon, 01 Jan 0001 00:00:00 +0000

Symphony’s state machine for issue lifecycle: polling, dispatch, active run tracking, retry queuing with exponential backoff, and reconciliation of running issues against tracker state changes.

Practical Deep Learning for Coders

Mon, 01 Jan 0001 00:00:00 +0000

Jeremy Howard’s legendary top-down deep learning course — you build working models in lesson 1 and learn theory as needed. This course has produced alumni at Google Brain, OpenAI, Adobe, and Tesla. The teaching philosophy is radical: start with practical results, then go deeper. Covers computer vision, NLP, tabular data, and deployment using PyTorch, fastai, and Hugging Face Transformers. If you learn by doing rather than by theory, this is the best deep learning course available anywhere.

SDD with AI: Open Source Toolkit

Mon, 01 Jan 0001 00:00:00 +0000

GitHub’s introduction to SDD with AI, announcing the open-source Spec Kit toolkit and explaining how specifications fit into the broader development ecosystem.

Spec-Driven Development: When Architecture Becomes Executable

Mon, 01 Jan 0001 00:00:00 +0000

InfoQ deep dive on specification-driven development as an emerging practice, exploring how executable specifications bridge the gap between architecture and implementation.

Building AI

Mon, 01 Jan 0001 00:00:00 +0000

The practical follow-up to Introduction to AI — bridges conceptual understanding to hands-on AI development. Covers machine learning algorithms, neural networks, and AI project planning with optional Python exercises. Designed for people who completed the intro course and want to go deeper without committing to a full computer science curriculum. The Python exercises are optional, making it accessible to non-developers who want to understand the mechanics.

Claude Code in Action

Mon, 01 Jan 0001 00:00:00 +0000

Advanced Claude Code workflows — hooks, sub-agents, headless mode, and integration patterns. Builds on Claude Code 101 with real-world usage patterns. Pairs with the SDD Fundamentals learning path for a complete spec-driven development workflow using Claude Code.

Intro to Deep Learning

Mon, 01 Jan 0001 00:00:00 +0000

Kaggle’s hands-on deep learning micro-course — 4 hours covering neural networks, stochastic gradient descent, overfitting, dropout, and batch normalization. Shorter and more practical than Coursera specializations, with browser-based notebooks that run immediately. The fastest path from ‘I understand basic ML’ to ‘I can build neural networks’ — take this before investing in longer courses.

Intro to Machine Learning

Mon, 01 Jan 0001 00:00:00 +0000

The fastest hands-on introduction to machine learning — 3 hours from zero to building your first model. Kaggle’s browser-based notebooks mean no setup required, and the 30 free GPU hours per week let you experiment immediately. Covers decision trees, model validation, underfitting/overfitting, and random forests with real datasets. Take this if you want to get your hands dirty with ML code in an afternoon, not a semester.

Spec-Driven Development Fundamentals

Mon, 01 Jan 0001 00:00:00 +0000

Learn the specification-driven development methodology from concept through practice. Understand why SDD emerged alongside AI coding tools, how to write effective specifications, and how to use tools like GitHub Spec Kit to formalize the workflow.

Prerequisites: Familiarity with Claude Code (complete Claude Code Mastery first) helps you apply SDD concepts immediately, but is not strictly required.

Spec-Driven Development Guide

Mon, 01 Jan 0001 00:00:00 +0000

Tutorial on applying SDD within the Zencoder IDE, demonstrating the full cycle from specification authoring to AI-assisted implementation and validation.

The Rise of Spec-Driven Development

Mon, 01 Jan 0001 00:00:00 +0000

Trend analysis of SDD’s emergence as the structured counterpart to vibe coding, explaining why specifications became essential as AI coding tools matured.

Azure AI Fundamentals (AI-900)

Mon, 01 Jan 0001 00:00:00 +0000

Microsoft’s structured learning path for the AI-900 certification — covers AI workloads, machine learning principles, computer vision, NLP, and generative AI on Azure. The most enterprise-oriented AI fundamentals course available, designed for professionals who need to understand AI in the context of cloud services and business applications. Each module has knowledge checks and the path directly prepares you for the AI-900 certification exam.

LangChain for LLM Application Development

Mon, 01 Jan 0001 00:00:00 +0000

Harrison Chase (LangChain CEO) and Andrew Ng’s one-hour introduction to building LLM applications with LangChain. Covers chains, memory, prompts, and agents. The fastest way to understand what LangChain does and whether it’s the right framework for your use case. Pair with the RAG from Scratch learning path to go deeper into retrieval-augmented generation patterns.

SDD with Claude Code

Mon, 01 Jan 0001 00:00:00 +0000

Educational chapter on applying specification-driven development with Claude Code, covering spec authoring, agent interaction patterns, and iterative refinement.

SDD: From Code to Contract in the Age of AI Coding Assistants

Mon, 01 Jan 0001 00:00:00 +0000

Academic paper examining formal specification approaches for AI-assisted software development, with empirical analysis of specification quality and implementation fidelity.

The Agentic Protocol Stack

Mon, 01 Jan 0001 00:00:00 +0000

Understand the three open protocols forming the agentic AI communication stack:

MCP (agent-to-tool) — how agents use external tools and data
A2A (agent-to-agent) — how agents collaborate across platforms
AG-UI (agent-to-user) — how agents communicate with frontends

All three are converging under the Linux Foundation’s Agentic AI Foundation (AAIF). This path teaches you the architecture and practical usage of each layer.

Building MCP Servers

Mon, 01 Jan 0001 00:00:00 +0000

Learn to build production-quality MCP servers. This path takes you from a basic server implementation through transport selection, security, and publishing to the registry.

Prerequisites: Complete the MCP Fundamentals path first to understand the protocol architecture.

Functions, Tools and Agents with LangChain

Mon, 01 Jan 0001 00:00:00 +0000

Deepens the LangChain introduction with focus on function calling, tool use, and agent patterns — the building blocks of agentic AI applications. Covers OpenAI’s function calling API, LangChain tool abstractions, and conversational agents. Take this after the LangChain intro to understand how agents actually work under the hood.

Getting Started with GitHub Spec Kit

Mon, 01 Jan 0001 00:00:00 +0000

Hands-on tutorial for GitHub Spec Kit CLI, covering installation, spec creation, validation, and integration with AI coding workflows.

TDD vs BDD vs SDD

Mon, 01 Jan 0001 00:00:00 +0000

Comparison of test-driven, behavior-driven, and specification-driven development, highlighting when each approach is most appropriate and how they complement each other.

Build What You Mean, Not What You Guess

Mon, 01 Jan 0001 00:00:00 +0000

How SDD reduces ambiguity in AI-assisted development by replacing informal prompts with structured specifications, with focus on agentic workflows.

Building Agentic RAG with LlamaIndex

Mon, 01 Jan 0001 00:00:00 +0000

Combines RAG with agentic patterns using LlamaIndex — covering router queries, tool retrieval, and multi-document agents. This goes beyond basic RAG (query → retrieve → generate) to show how agents can dynamically choose retrieval strategies and combine multiple data sources. Take this after understanding basic RAG concepts from the RAG from Scratch learning path.

RAG from Scratch

Mon, 01 Jan 0001 00:00:00 +0000

Build a complete Retrieval-Augmented Generation pipeline from the ground up. Learn embeddings, vector search, reranking, and how to wire retrieval into LLM generation with citations.

This path draws on Cohere (strong RAG docs), Pinecone (vector DB), and LangChain (orchestration).

Agent SDK — Overview

Mon, 01 Jan 0001 00:00:00 +0000

Introduction to Anthropic’s Agent SDK for building custom AI agents with tool use, MCP, and sub-agents.

Build with Claude — Overview

Mon, 01 Jan 0001 00:00:00 +0000

Central hub for understanding how to build applications with the Claude API.

Introduction to the Anthropic Platform

Mon, 01 Jan 0001 00:00:00 +0000

Overview of the Anthropic API platform, Claude models, and what you can build.

Multi AI Agent Systems with crewAI

Mon, 01 Jan 0001 00:00:00 +0000

Hands-on introduction to multi-agent systems using CrewAI — covers role-based agent design, task delegation, inter-agent communication, and workflow orchestration. Taught by Joao Moura (CrewAI founder). The practical companion to the Multi-Agent Systems learning path: the course teaches you to build crews, the path provides comprehensive documentation across 8+ frameworks.

Tool Use — Overview

Mon, 01 Jan 0001 00:00:00 +0000

How Claude calls external tools and functions — the foundation for building agentic systems.

Vision & Multimodal AI

Mon, 01 Jan 0001 00:00:00 +0000

Build applications that understand and generate images, documents, and audio. This path covers vision capabilities across 5 providers, document processing, image generation, multimodal embeddings, and audio — the complete multimodal toolkit.

The key cross-provider insight: each provider has different vision strengths. OpenAI offers the broadest multimodal coverage (vision + generation + audio), Anthropic excels at document understanding, Cohere provides multimodal embeddings for search, and Mistral/Together AI offer cost-effective open-source alternatives. Choosing the right provider per modality can dramatically improve both quality and cost.

Agent SDK Deep Dive

Mon, 01 Jan 0001 00:00:00 +0000

Build custom AI agents with the Anthropic Agent SDK. Covers both TypeScript and Python SDKs, custom tools, MCP integration, sub-agents, streaming, and production deployment.

Prerequisites: Familiarity with the Claude API (complete Claude API Essentials first).

NLP Course

Mon, 01 Jan 0001 00:00:00 +0000

Hugging Face’s comprehensive NLP course — covers tokenizers, transformers, fine-tuning pretrained models, and the Hugging Face ecosystem (Datasets, Tokenizers, Transformers, Accelerate). The definitive open-source-first approach to NLP: everything runs on Hugging Face infrastructure with free GPU access. If you’re building with open models rather than proprietary APIs, start here.

LLM Course

Mon, 01 Jan 0001 00:00:00 +0000

Hugging Face’s newer LLM-specific course covering the full stack: using LLMs, building LLM applications, fine-tuning, and deploying. More focused on the modern LLM workflow than the NLP course. Includes RAG, quantization, and model evaluation. Take this for an open-source-first perspective on the same topics covered by the provider-specific learning paths in this knowledge base.

Multi-Agent Systems

Mon, 01 Jan 0001 00:00:00 +0000

Explore how to build systems with multiple cooperating AI agents. Compare approaches across eight frameworks: Anthropic Agent SDK, OpenAI Agents SDK, CrewAI, LangGraph, Google ADK, Microsoft Agent Framework, AutoGen, and OpenAI Symphony — plus the A2A protocol for cross-platform agent communication.

Each framework embodies a different orchestration paradigm: delegation, handoffs, crews, state machines, workflow agents, enterprise graphs, group chat, and autonomous work management. Understanding the design space helps you pick the right tool for your architecture.

Agents Course

Mon, 01 Jan 0001 00:00:00 +0000

Hugging Face’s comprehensive agents course — covers agent fundamentals, tool use, ReAct pattern, multi-agent systems, and building production agents with open-source models. The open-source counterpart to Anthropic’s agent courses: where Anthropic teaches you to build agents with Claude, Hugging Face teaches you to build agents with any open model. Essential if you’re evaluating open vs. proprietary agent architectures.

Evaluation & Testing

Mon, 01 Jan 0001 00:00:00 +0000

Build a comprehensive evaluation practice for AI applications. This path spans 7 sources to cover the full evaluation landscape: foundational concepts, practical implementation, RAG-specific metrics, LLM-as-judge patterns, and agent evaluation challenges.

Evaluation is the most cross-cutting concern in AI development — every provider and framework has a different take. OpenAI provides hosted evals, RAGAS specializes in RAG metrics, DSPy uses metrics for optimization, LangSmith offers traceability, and W&B Weave treats evaluation as a core development primitive. This path helps you pick the right tools and combine them.

AI Safety & Guardrails

Mon, 01 Jan 0001 00:00:00 +0000

Master the techniques for building safe, responsible AI applications across providers. This path covers content moderation, jailbreak defense, hallucination reduction, and guardrail patterns — drawing from 6 different sources to show how each provider approaches safety differently.

Cross-provider comparison is central to this path: OpenAI uses a separate moderation endpoint, Anthropic leverages the main model with prompt design, Mistral has its own categorization, and Cohere offers declarative safety modes. Understanding all approaches lets you build defense-in-depth systems.

Deployment to Production

Mon, 01 Jan 0001 00:00:00 +0000

Take AI applications from prototype to production. This path covers the full deployment journey across providers: production checklists, rate limit management, batch processing for cost reduction, and agent-specific deployment patterns.

The key cross-provider insight: every provider has rate limits, batch APIs, and deployment recommendations, but the specifics differ meaningfully. Learning both OpenAI and Anthropic patterns helps you design resilient systems, and understanding framework deployment (LangGraph, CrewAI) is essential for agent-based applications.

Get Started

Mon, 01 Jan 0001 00:00:00 +0000

API key setup, first API call, and quickstart for the Anthropic platform.

Cost Optimization

Mon, 01 Jan 0001 00:00:00 +0000

Minimize AI application costs without sacrificing quality. This path covers the complete cost optimization toolkit: model selection, token counting, prompt caching, and batch processing — comparing approaches across Anthropic and OpenAI.

The key insight: cost optimization is not about using cheaper models everywhere. It’s about matching the right model to each task, caching repeated content, batching non-urgent work, and measuring token usage to eliminate waste. A well-optimized pipeline using GPT-4o-mini + caching can cost less than a naive GPT-3.5 implementation.

Fine-Tuning Across Providers

Mon, 01 Jan 0001 00:00:00 +0000

Master fine-tuning across multiple providers — from data preparation to training to deployment. This advanced path covers OpenAI, Mistral, and Together AI’s fine-tuning workflows, with W&B for experiment tracking.

Fine-tuning is a powerful but expensive technique. This path emphasizes the decision framework (when to fine-tune vs alternatives), practical data preparation, and cross-provider comparison of capabilities, costs, and workflows. LoRA and reinforcement fine-tuning expand the toolkit beyond basic supervised fine-tuning.

AI Landscape for Product Leaders

Mon, 01 Jan 0001 00:00:00 +0000

A non-technical introduction to the AI provider landscape for product managers, executives, and business leaders. This path builds your understanding of what AI models can do, how they’re priced, and how to think about provider selection — without requiring any coding knowledge.

By the end of this path, you’ll be able to: evaluate AI provider options, understand cost structures for budgeting, and frame build-vs-buy decisions for your organization. You’ll have the vocabulary and mental models to discuss AI capabilities with your engineering team and present AI strategy to leadership.

AI Use Cases & Business Applications

Mon, 01 Jan 0001 00:00:00 +0000

A practical guide to identifying, evaluating, and prioritizing AI use cases for your product or organization. See concrete examples of AI in production — from customer support to document processing — and learn frameworks for assessing ROI and choosing the right approach.

By the end of this path, you’ll be able to: identify high-value AI use cases in your organization, evaluate whether a use case needs simple AI or complex agents, build an ROI-backed business case for AI investment, and have informed conversations with engineering about implementation feasibility.

Understanding AI Agents & Protocols

Mon, 01 Jan 0001 00:00:00 +0000

A non-technical guide to AI agents and the emerging protocol standards for product leaders and executives. Learn what agents are, why they matter for your product, and how the industry is standardizing agent communication through protocols like MCP, A2A, and AG-UI.

By the end of this path, you’ll understand the difference between chatbots and agents, how agents connect to external tools and data, and what enterprise agent deployment looks like. You’ll be equipped to evaluate whether your product needs agent capabilities and what infrastructure choices your team should be making.

Working With Messages

Mon, 01 Jan 0001 00:00:00 +0000

The Messages API is the core primitive — understand message roles, content blocks, and conversation structure.

AI Safety & Risk for Decision-Makers

Mon, 01 Jan 0001 00:00:00 +0000

A concise path for executives, product leaders, and board members who need to understand AI risks and safety without technical depth. Covers data privacy, hallucination risk, safety engineering principles, regulatory compliance (EU AI Act), and responsible AI governance.

By the end of this 2-hour path, you’ll understand the key risks of deploying AI in production, what questions to ask your engineering team about safety measures, and how to establish an AI governance framework for your organization.

AI Architecture for Technical Leaders

Mon, 01 Jan 0001 00:00:00 +0000

A technically rigorous guide to AI system architecture for product managers and executives who can evaluate architecture diagrams. This path walks through the major architectural decisions in modern AI systems — from the LLM application stack to agent frameworks, communication protocols, and multi-model strategies.

By the end of this path, you’ll be able to: evaluate your engineering team’s architecture proposals with informed questions, understand the protocol landscape (MCP, AG-UI) for platform integration decisions, and assess whether your system architecture is ready for multi-model, multi-agent production workloads.

AI Vendor & Platform Evaluation

Mon, 01 Jan 0001 00:00:00 +0000

A systematic framework for evaluating AI providers, platforms, and build-vs-buy decisions. This path equips technical leaders with the analytical tools to compare vendors across capability, cost, deployment, and strategic dimensions — going beyond feature matrices to assess lock-in risk, deployment flexibility, and long-term platform strategy.

By the end of this path, you’ll be able to: build comparative cost models across providers, structure vendor evaluation around the accuracy-latency-cost tradeoff triangle, assess deployment topology requirements, and frame build-vs-buy recommendations with supporting market data.

AI Cost Modeling & Unit Economics

Mon, 01 Jan 0001 00:00:00 +0000

A practical guide to AI cost modeling and unit economics for technical leaders who need to build defensible financial projections. This path bridges the gap between per-token API pricing and board-level business cases, covering macro AI economics, provider pricing structures, token consumption drivers, optimization levers, and ROI frameworks.

By the end of this path, you’ll be able to: build per-query cost models for AI features, project AI infrastructure costs at scale, identify the highest-impact cost optimization levers (which are architecture decisions, not tuning exercises), and construct ROI analyses that connect engineering costs to business value.

AI Risk & Safety for Technical Leaders

Mon, 01 Jan 0001 00:00:00 +0000

A bridge between engineering safety practices and board-level risk governance for technical leaders who need to evaluate their team’s safety architecture and communicate residual risks to stakeholders. This path covers hallucination mitigation, data protection, enterprise guardrails, regulatory compliance, and production readiness assessment.

By the end of this path, you’ll be able to: evaluate whether your engineering team has implemented defense-in-depth safety, assess compliance requirements under the EU AI Act, conduct technical due diligence on AI projects before production deployment, and translate engineering risk into board-level governance language.

Streaming

Mon, 01 Jan 0001 00:00:00 +0000

Server-sent events (SSE) streaming for real-time token delivery and responsive UIs.

Implement Tool Use

Mon, 01 Jan 0001 00:00:00 +0000

Step-by-step guide to implementing the tool use loop: define tools, handle tool_use responses, send tool_result.

Structured Outputs

Mon, 01 Jan 0001 00:00:00 +0000

Get reliable JSON outputs from Claude using tool_use or constrained decoding.

Extended Thinking

Mon, 01 Jan 0001 00:00:00 +0000

Enable Claude’s chain-of-thought reasoning for complex problems that benefit from step-by-step analysis.

Vision

Mon, 01 Jan 0001 00:00:00 +0000

Send images to Claude for analysis, OCR, diagram interpretation, and multimodal reasoning.

Prompt Caching

Mon, 01 Jan 0001 00:00:00 +0000

Cache system prompts and repeated context to reduce latency and costs by up to 90%.

@ag-ui/encoder

Mon, 01 Jan 0001 00:00:00 +0000

@ag-ui/proto

Mon, 01 Jan 0001 00:00:00 +0000

📚 Core Concepts

Mon, 01 Jan 0001 00:00:00 +0000

🚀 Get Started

Mon, 01 Jan 0001 00:00:00 +0000

01 Intro Basics

Mon, 01 Jan 0001 00:00:00 +0000

Learn the basics of fine-tuning LLMs with Mistral AI’s API and open-source tools for optimized performance

02 Prepare Dataset

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to prepare datasets for fine-tuning models across various use cases, from tone to coding and RAG

2022 releases

Mon, 01 Jan 0001 00:00:00 +0000

2023 releases

Mon, 01 Jan 0001 00:00:00 +0000

2024 releases

Mon, 01 Jan 0001 00:00:00 +0000

2025 releases

Mon, 01 Jan 0001 00:00:00 +0000

2026 releases

Mon, 01 Jan 0001 00:00:00 +0000

A Data Analyst Agent Built with Cohere and Langchain

Mon, 01 Jan 0001 00:00:00 +0000

This page describes how to build a data-analysis system out of Cohere’s models.

A Guide to Streaming Responses

Mon, 01 Jan 0001 00:00:00 +0000

Stream Chat API responses in real-time using Server-Sent Events — including text generation, tool calls, and citation events.

A Guide to Tokens and Tokenizers

Mon, 01 Jan 0001 00:00:00 +0000

This document describes how to use the tokenize and detokenize API endpoints.

A2A endpoint in Agent Server

Mon, 01 Jan 0001 00:00:00 +0000

A2A Extension

Mon, 01 Jan 0001 00:00:00 +0000

A2A JSON-RPC

Mon, 01 Jan 0001 00:00:00 +0000

Communicate with an assistant using the Agent-to-Agent (A2A) Protocol over JSON-RPC 2.0.

A2A vs MCP

Mon, 01 Jan 0001 00:00:00 +0000

Understanding how A2A complements the Model Context Protocol

A2A vs MCP

Mon, 01 Jan 0001 00:00:00 +0000

Detailed comparison with Model Context Protocol

AbstractAgent

Mon, 01 Jan 0001 00:00:00 +0000

Base agent implementation with core event handling

Access & oversight

Mon, 01 Jan 0001 00:00:00 +0000

Control who can access agents, how they authenticate, and audit everything they do.

Access BYOB using pre-signed URLs

Mon, 01 Jan 0001 00:00:00 +0000

Access management

Mon, 01 Jan 0001 00:00:00 +0000

Access the current run (span) within a traced function

Mon, 01 Jan 0001 00:00:00 +0000

Access the W&B MCP Server

Mon, 01 Jan 0001 00:00:00 +0000

Connect your IDE or LLM application to W&B’s Model Context Protocol (MCP) server to provide your agent with access to your W&B workspace, data, and W&B’s documentation.

Access your invoices

Mon, 01 Jan 0001 00:00:00 +0000

View and download billing invoices from Pinecone.

Access your invoices

Mon, 01 Jan 0001 00:00:00 +0000

View and download organization billing invoices.

Account quotas

Mon, 01 Jan 0001 00:00:00 +0000

Account-wide request limits, spending tiers, budget controls, and on-demand GPU quotas

Action confirmations

Mon, 01 Jan 0001 00:00:00 +0000

Actions in ChatKit

Mon, 01 Jan 0001 00:00:00 +0000

Embed a widget to build your own chat experiences.

Adapter injection

Mon, 01 Jan 0001 00:00:00 +0000

Adapters

Mon, 01 Jan 0001 00:00:00 +0000

Adapters

Mon, 01 Jan 0001 00:00:00 +0000

Adapting Metrics to Target Language

Mon, 01 Jan 0001 00:00:00 +0000

Adaptive Thinking

Mon, 01 Jan 0001 00:00:00 +0000

Add custom authentication

Mon, 01 Jan 0001 00:00:00 +0000

Add encryption at-rest

Mon, 01 Jan 0001 00:00:00 +0000

Add labels to runs with tags

Mon, 01 Jan 0001 00:00:00 +0000

Add metadata and tags to traces

Mon, 01 Jan 0001 00:00:00 +0000

Add Tools to Agents

Mon, 01 Jan 0001 00:00:00 +0000

Add tool calling capabilities to agents with automatic schema inference from Python functions.

Add W&B (wandb) to your code

Mon, 01 Jan 0001 00:00:00 +0000

Add W&B to your Python code script or Jupyter Notebook.

Add W&B to a Python library

Mon, 01 Jan 0001 00:00:00 +0000

Adding Data to Chroma Collections

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to add data to Chroma collections.

Adding to your CI pipeline with Pytest

Mon, 01 Jan 0001 00:00:00 +0000

ADK Gemini Live API Toolkit

Mon, 01 Jan 0001 00:00:00 +0000

ADK with Agent2Agent (A2A) Protocol

Mon, 01 Jan 0001 00:00:00 +0000

Admin

Mon, 01 Jan 0001 00:00:00 +0000

Administration Api

Mon, 01 Jan 0001 00:00:00 +0000

Advanced Document Parsing For Enterprises

Mon, 01 Jan 0001 00:00:00 +0000

This page describes how to use Cohere’s models to build a document-parsing agent.

Advanced Generation Parameters

Mon, 01 Jan 0001 00:00:00 +0000

This page describes advanced parameters for controlling generation.

Advanced IAM configuration

Mon, 01 Jan 0001 00:00:00 +0000

Advanced integrations with ChatKit

Mon, 01 Jan 0001 00:00:00 +0000

Use your own server with ChatKit to integrate agent workflows into your product with more customization.

Advanced setup

Mon, 01 Jan 0001 00:00:00 +0000

System requirements, platform-specific installation, version management, and uninstallation for Claude Code.

Advanced setup

Mon, 01 Jan 0001 00:00:00 +0000

Advanced Tool Features

Mon, 01 Jan 0001 00:00:00 +0000

Advanced Tool Use

Mon, 01 Jan 0001 00:00:00 +0000

Advanced usage

Mon, 01 Jan 0001 00:00:00 +0000

Discover advanced usage techniques for OpenAI’s API, including reproducible outputs, token management, and parameter settings.

AG-UI

Mon, 01 Jan 0001 00:00:00 +0000

AG-UI

Mon, 01 Jan 0001 00:00:00 +0000

AG-UI Integration

Mon, 01 Jan 0001 00:00:00 +0000

AG-UI Overview

Mon, 01 Jan 0001 00:00:00 +0000

Agent Builder webhooks

Mon, 01 Jan 0001 00:00:00 +0000

Integrate agent publishing with external systems, CI/CD pipelines, or custom deployment workflows.

Agent Capabilities

Mon, 01 Jan 0001 00:00:00 +0000

Understand the five ways to extend CrewAI agents: Tools, MCPs, Apps, Skills, and Knowledge.

Agent Chat UI

Mon, 01 Jan 0001 00:00:00 +0000

Agent Chat UI

Mon, 01 Jan 0001 00:00:00 +0000

Agent Chat UI

Mon, 01 Jan 0001 00:00:00 +0000

Agent Chat UI

Mon, 01 Jan 0001 00:00:00 +0000

Agent Client Protocol (ACP)

Mon, 01 Jan 0001 00:00:00 +0000

Expose Deep Agents over the Agent Client Protocol (ACP) to integrate with code editors and IDEs.

Agent Client Protocol (ACP)

Mon, 01 Jan 0001 00:00:00 +0000

Expose Deep Agents over the Agent Client Protocol (ACP) to integrate with code editors and IDEs.

Agent Config

Mon, 01 Jan 0001 00:00:00 +0000

Agent definitions

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to define an agent’s instructions, model, tools, and local context in the OpenAI Agents SDK.

Agent evals

Mon, 01 Jan 0001 00:00:00 +0000

Use agent evals to create datasets, configure graders, and track evaluation runs for your agents.

Agent Evaluation Quickstart

Mon, 01 Jan 0001 00:00:00 +0000

Agent Framework Overview

Mon, 01 Jan 0001 00:00:00 +0000

Introduction to Microsoft Agent Framework: combining AutoGen’s agent abstractions with Semantic Kernel’s enterprise features for production-grade multi-agent orchestration.

Agent Frameworks

Mon, 01 Jan 0001 00:00:00 +0000

Build production-ready AI agents with Fireworks and leading open-source frameworks

Agent identity

Mon, 01 Jan 0001 00:00:00 +0000

Choose whether your Fleet agent authenticates with its own credentials or with each user’s credentials.

Agent Integrations

Mon, 01 Jan 0001 00:00:00 +0000

Using OSS agent frameworks with Together AI

Agent Loop

Mon, 01 Jan 0001 00:00:00 +0000

Agent Repositories

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use Agent Repositories to share and reuse your agents across teams and projects

Agent Runtime

Mon, 01 Jan 0001 00:00:00 +0000

Agent Server

Mon, 01 Jan 0001 00:00:00 +0000

Agent Server API reference for LangSmith Deployment

Mon, 01 Jan 0001 00:00:00 +0000

Agent Server changelog

Mon, 01 Jan 0001 00:00:00 +0000

Agent Skills

Mon, 01 Jan 0001 00:00:00 +0000

Install Pinecone’s official Agent Skills library for Cursor, GitHub Copilot, Codex, and other agentic IDEs.

Agent Specs

Mon, 01 Jan 0001 00:00:00 +0000

Agent Starter Pack

Mon, 01 Jan 0001 00:00:00 +0000

Agent team

Mon, 01 Jan 0001 00:00:00 +0000

Agent Tracing

Mon, 01 Jan 0001 00:00:00 +0000

Understand where your agent runs and how tracing enables reinforcement fine-tuning

Agent User Interaction (AG-UI)

Mon, 01 Jan 0001 00:00:00 +0000

Agent Workflows

Mon, 01 Jan 0001 00:00:00 +0000

Orchestrating together multiple language model calls to solve complex tasks.

agent-server-openapi

Mon, 01 Jan 0001 00:00:00 +0000

Agent2Agent (A2A)

Mon, 01 Jan 0001 00:00:00 +0000

Agentic IDEs and CLIs

Mon, 01 Jan 0001 00:00:00 +0000

Use Pinecone with agentic IDEs and CLIs like Claude Code, Gemini CLI, Cursor, and more.

Agentic Memory

Mon, 01 Jan 0001 00:00:00 +0000

Persist agent context across runs for better performance and personalization.

Agentic Multi-Stage RAG with Cohere Tools API

Mon, 01 Jan 0001 00:00:00 +0000

This page describes how to build a powerful, multi-stage agent with the Cohere platform.

Agentic or Tool use

Mon, 01 Jan 0001 00:00:00 +0000

Agentic RAG for PDFs with mixed data

Mon, 01 Jan 0001 00:00:00 +0000

This page describes building a powerful, multi-step chatbot with Cohere’s models.

Agentic Search

Mon, 01 Jan 0001 00:00:00 +0000

Build agents that iteratively search and refine results to answer complex queries.

Agents

Mon, 01 Jan 0001 00:00:00 +0000

Learn about agents in the Agent User Interaction Protocol

Agents

Mon, 01 Jan 0001 00:00:00 +0000

Detailed guide on creating and managing agents within the CrewAI framework.

Agents

Mon, 01 Jan 0001 00:00:00 +0000

Agents

Mon, 01 Jan 0001 00:00:00 +0000

Agents

Mon, 01 Jan 0001 00:00:00 +0000

Agents

Mon, 01 Jan 0001 00:00:00 +0000

Configure agent instructions, tools, guardrails, memory, and streaming behavior.

Agents

Mon, 01 Jan 0001 00:00:00 +0000

Agents & Conversations

Mon, 01 Jan 0001 00:00:00 +0000

Agents & Conversations API: Create, manage agents with tools, and handle interactive conversations with persistent history

Agents Function Calling

Mon, 01 Jan 0001 00:00:00 +0000

Agents use tools and function calling to perform tasks, with built-in and customizable options

Agents Handoffs

Mon, 01 Jan 0001 00:00:00 +0000

Agents Handoffs enable seamless task delegation and workflow automation between multiple agents with diverse tools and capabilities

Agents Introduction

Mon, 01 Jan 0001 00:00:00 +0000

Introduction to Mistral’s agent system — autonomous task execution with tools, state persistence, connectors (code interpreter, web search), and multi-agent collaboration.

Agents Overview

Mon, 01 Jan 0001 00:00:00 +0000

Core agent abstraction in the Microsoft Agent Framework: agent types, providers, skills, and conversation management.

Agents SDK

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to build agents with the OpenAI Agents SDK.

AgentSubscriber

Mon, 01 Jan 0001 00:00:00 +0000

Event-driven subscriber system for agent lifecycle and event handling

Agno

Mon, 01 Jan 0001 00:00:00 +0000

Using Agno with Together AI

Agno

Mon, 01 Jan 0001 00:00:00 +0000

Trace Agno multi-agent systems with Weave using OpenTelemetry, capturing agent interactions, tool calls, shared memory operations, and multi-modal workflows for comprehensive observability of your AI agent systems.

AI Engine

Mon, 01 Jan 0001 00:00:00 +0000

AI Evaluations UI

Mon, 01 Jan 0001 00:00:00 +0000

Guide to using the AI Evaluations UI for model assessment

AI Mind Tool

Mon, 01 Jan 0001 00:00:00 +0000

The ‘AIMindTool’ is designed to query data sources in natural language.

AI Models for ADK agents

Mon, 01 Jan 0001 00:00:00 +0000

Airbyte

Mon, 01 Jan 0001 00:00:00 +0000

Alerts in LangSmith

Mon, 01 Jan 0001 00:00:00 +0000

Alias

Mon, 01 Jan 0001 00:00:00 +0000

Align an LLM as a Judge

Mon, 01 Jan 0001 00:00:00 +0000

Aligning LLM Evaluators with Human Judgment

Mon, 01 Jan 0001 00:00:00 +0000

Amazon Bedrock

Mon, 01 Jan 0001 00:00:00 +0000

Amazon Bedrock

Mon, 01 Jan 0001 00:00:00 +0000

Pinecone as a Knowledge Base for Amazon Bedrock

Amazon Bedrock

Mon, 01 Jan 0001 00:00:00 +0000

Amazon SageMaker

Mon, 01 Jan 0001 00:00:00 +0000

Ambassador

Mon, 01 Jan 0001 00:00:00 +0000

Join Mistral AI’s Ambassador Program to advocate, create content, and gain exclusive benefits for AI enthusiasts

An Amazon SageMaker Setup Guide

Mon, 01 Jan 0001 00:00:00 +0000

This document will guide you through enabling development teams to access Cohere’s offerings on Amazon SageMaker.

An Overview of Cohere's Models

Mon, 01 Jan 0001 00:00:00 +0000

Cohere has a variety of models that cover many different use cases. If you need more customization, you can train a model to tune it to your specific use case.

An Overview of Cohere's Rerank Model

Mon, 01 Jan 0001 00:00:00 +0000

This page describes how Cohere’s Rerank models work.

An Overview of The Cohere Platform

Mon, 01 Jan 0001 00:00:00 +0000

Cohere offers world-class Large Language Models (LLMs) like Command, Rerank, and Embed. These help developers and enterprises build LLM-powered applications.

An Overview of the Developer Playground

Mon, 01 Jan 0001 00:00:00 +0000

The Cohere Playground is a powerful visual interface for testing Cohere’s generation and embedding language models without coding.

An Overview of Tool Use with Cohere

Mon, 01 Jan 0001 00:00:00 +0000

Learn when to use leverage multi-step tool use in your workflows.

Analysis of Form 10-K/10-Q Using Cohere and RAG

Mon, 01 Jan 0001 00:00:00 +0000

This page describes how to use Cohere’s large language models to build an agent able to analyze financial forms like a 10-K or a 10-Q.

Analyze an experiment

Mon, 01 Jan 0001 00:00:00 +0000

Analyzing Hacker News with Cohere

Mon, 01 Jan 0001 00:00:00 +0000

This page describes building a generative-AI powered tool to analyze headlines with Cohere.

Annotate collections

Mon, 01 Jan 0001 00:00:00 +0000

Annotate traces and runs inline

Mon, 01 Jan 0001 00:00:00 +0000

Annotations

Mon, 01 Jan 0001 00:00:00 +0000

Mistral Document AI API extracts structured data from documents using custom JSON annotations for bboxes and full documents

Answer correctness

Mon, 01 Jan 0001 00:00:00 +0000

Anthropic

Mon, 01 Jan 0001 00:00:00 +0000

Anthropic

Mon, 01 Jan 0001 00:00:00 +0000

Anthropic

Mon, 01 Jan 0001 00:00:00 +0000

Use Weave to automatically track and log LLM calls made via the Anthropic SDK

Anthropic Api

Mon, 01 Jan 0001 00:00:00 +0000

Anthropic compatibility

Mon, 01 Jan 0001 00:00:00 +0000

Use Anthropic SDKs with Fireworks, and understand the supported surface for the Anthropic-compatible Messages API.

Anthropic MCP

Mon, 01 Jan 0001 00:00:00 +0000

Antitrust Policy

Mon, 01 Jan 0001 00:00:00 +0000

MCP Project Antitrust Policy for participants and contributors

Anyscale

Mon, 01 Jan 0001 00:00:00 +0000

Anyscale

Mon, 01 Jan 0001 00:00:00 +0000

API & Integrations

Mon, 01 Jan 0001 00:00:00 +0000

Manage clusters programmatically with CLI, REST API, Terraform, and third-party tools

Api And Data Retention

Mon, 01 Jan 0001 00:00:00 +0000

API deployment checklist

Mon, 01 Jan 0001 00:00:00 +0000

Review commonly underused Responses API design choices that improve deployment quality, speed, cost, and reliability.

API Documentation

Mon, 01 Jan 0001 00:00:00 +0000

A local reference to the Agent Server API documentation.

API Errors

Mon, 01 Jan 0001 00:00:00 +0000

Common API errors and how to resolve them

API Keys & Authentication

Mon, 01 Jan 0001 00:00:00 +0000

Create, manage, and authenticate with Project-scoped API keys

API Reference

Mon, 01 Jan 0001 00:00:00 +0000

API Server

Mon, 01 Jan 0001 00:00:00 +0000

Apify

Mon, 01 Jan 0001 00:00:00 +0000

Apify Actors

Mon, 01 Jan 0001 00:00:00 +0000

‘ApifyActorsTool’ lets you call Apify Actors to provide your CrewAI workflows with web scraping, crawling, data extraction, and web automation capabilities.

Apigee AI Gateway

Mon, 01 Jan 0001 00:00:00 +0000

App development in LangSmith Deployment

Mon, 01 Jan 0001 00:00:00 +0000

Application structure

Mon, 01 Jan 0001 00:00:00 +0000

Application structure

Mon, 01 Jan 0001 00:00:00 +0000

Application structure

Mon, 01 Jan 0001 00:00:00 +0000

Application-specific evaluation approaches

Mon, 01 Jan 0001 00:00:00 +0000

Applications

Mon, 01 Jan 0001 00:00:00 +0000

Apply patch

Mon, 01 Jan 0001 00:00:00 +0000

Allow models to propose structured diffs that your integration applies.

Apps: workflow management class

Mon, 01 Jan 0001 00:00:00 +0000

Architecture

Mon, 01 Jan 0001 00:00:00 +0000

Architecture

Mon, 01 Jan 0001 00:00:00 +0000

Chroma is designed with a modular architecture that prioritizes performance and ease of use. It scales seamlessly from local development to large-scale production, while exposing a consistent API across all deployment modes.

Architecture

Mon, 01 Jan 0001 00:00:00 +0000

Learn how Pinecone’s architecture enables fast, relevant vector search at any scale.

Architecture overview

Mon, 01 Jan 0001 00:00:00 +0000

The most important mental model here is the three-layer architecture: Host (the application), Client (the protocol handler), and Server (the capability provider). A common mistake is conflating the host and the client – the host is the user-facing application (like Claude Desktop), while the client is an internal protocol component that maintains a 1:1 connection with a single server. Understanding this separation is essential before reading the specification or building anything.

Architecture Overview

Mon, 01 Jan 0001 00:00:00 +0000

How Chroma is structured across local, single-node, and distributed deployments.

Arize

Mon, 01 Jan 0001 00:00:00 +0000

Arize Phoenix

Mon, 01 Jan 0001 00:00:00 +0000

Arize Phoenix integration for CrewAI with OpenTelemetry and OpenInference

Article Recommender via Embedding & Classification

Mon, 01 Jan 0001 00:00:00 +0000

This page describes how to build a generative-AI tool to recommend articles with Cohere.

Artifact data privacy and compliance

Mon, 01 Jan 0001 00:00:00 +0000

Learn where W&B files are stored by default. Explore how to save, store sensitive information.

Artifacts

Mon, 01 Jan 0001 00:00:00 +0000

Arxiv Paper Tool

Mon, 01 Jan 0001 00:00:00 +0000

The ‘ArxivPaperTool’ searches arXiv for papers matching a query and optionally downloads PDFs.

Aryn

Mon, 01 Jan 0001 00:00:00 +0000

Asana Integration

Mon, 01 Jan 0001 00:00:00 +0000

Team task and project coordination with Asana integration for CrewAI.

Aspect Critique

Mon, 01 Jan 0001 00:00:00 +0000

Assistant examples

Mon, 01 Jan 0001 00:00:00 +0000

Assistants

Mon, 01 Jan 0001 00:00:00 +0000

Assistants API deep dive

Mon, 01 Jan 0001 00:00:00 +0000

A detailed guide to creating and managing assistants with the Assistants API on the OpenAI platform.

Assistants Code Interpreter

Mon, 01 Jan 0001 00:00:00 +0000

Allow assistants to run Python code with the Code Interpreter tool.

Assistants File Search

Mon, 01 Jan 0001 00:00:00 +0000

Use File Search as a built-in RAG tool for assistants.

Assistants Function Calling

Mon, 01 Jan 0001 00:00:00 +0000

Use function calling to extend assistants with your own tools.

Assistants migration guide

Mon, 01 Jan 0001 00:00:00 +0000

Guidance for migrating from the Assistants API to the Responses API, including side-by-side comparisons and updated patterns.

Async

Mon, 01 Jan 0001 00:00:00 +0000

Async subagents

Mon, 01 Jan 0001 00:00:00 +0000

Launch background subagents that run concurrently while the supervisor continues interacting with the user

Async subagents

Mon, 01 Jan 0001 00:00:00 +0000

Launch background subagents that run concurrently while the supervisor continues interacting with the user

Asynchronous GRPO

Mon, 01 Jan 0001 00:00:00 +0000

Athina AI

Mon, 01 Jan 0001 00:00:00 +0000

Attribute usage to your integration

Mon, 01 Jan 0001 00:00:00 +0000

Attribute-based access control

Mon, 01 Jan 0001 00:00:00 +0000

Audio

Mon, 01 Jan 0001 00:00:00 +0000

Audio & Transcription

Mon, 01 Jan 0001 00:00:00 +0000

Audio & Transcription: Voxtral models enable chat and transcription via audio input with various file-passing methods

Audio and speech

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to work with audio and speech in the OpenAI API.

Audio With Weave

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use audio with weave with W&B Weave

Audit & Access Logs

Mon, 01 Jan 0001 00:00:00 +0000

Monitor and track account activities with audit logging for Enterprise accounts

Audit logs

Mon, 01 Jan 0001 00:00:00 +0000

Track and review administrative actions across your LangSmith organization for security, compliance, and operational visibility.

Auth-aware tool responses

Mon, 01 Jan 0001 00:00:00 +0000

Format tool responses to trigger OAuth flows and resume execution automatically.

Auth-aware tool responses

Mon, 01 Jan 0001 00:00:00 +0000

Format tool responses to trigger OAuth flows and resume execution automatically.

Authentication

Mon, 01 Jan 0001 00:00:00 +0000

Authentication

Mon, 01 Jan 0001 00:00:00 +0000

Authentication & access control

Mon, 01 Jan 0001 00:00:00 +0000

Authentication methods

Mon, 01 Jan 0001 00:00:00 +0000

Authorization

Mon, 01 Jan 0001 00:00:00 +0000

The MCP authorization specification defines the OAuth 2.0-based flow that remote MCP servers use to authenticate clients, and it is the formal basis for everything the higher-level registry authentication guide simplifies. Focus on the required OAuth grant types, token scoping rules, and the metadata discovery mechanism that clients use to find a server’s authorization endpoint. A key gotcha is that the spec mandates specific OAuth metadata fields that many generic OAuth libraries do not populate by default, so you may need custom configuration even when using well-known auth frameworks. This is dense specification text best read alongside a working implementation for reference.

Authorization Extensions

Mon, 01 Jan 0001 00:00:00 +0000

Supplementary authorization mechanisms for the Model Context Protocol

AutoGen

Mon, 01 Jan 0001 00:00:00 +0000

Use Weave to track and monitor AutoGen agents and multi-agent systems

AutoGen Overview

Mon, 01 Jan 0001 00:00:00 +0000

AutoGen is a programming framework for building multi-agent AI systems through conversational agents that collaborate, use tools, and execute code. Now in maintenance mode — see Microsoft Agent Framework.

AutoGen(AG2)

Mon, 01 Jan 0001 00:00:00 +0000

Using AutoGen(AG2) with Together AI

Automate user and team management

Mon, 01 Jan 0001 00:00:00 +0000

Automate workflows with hooks

Mon, 01 Jan 0001 00:00:00 +0000

Run shell commands automatically when Claude Code edits files, finishes tasks, or needs input. Format code, send notifications, validate commands, and enforce project rules.

Automatically run evaluators on experiments

Mon, 01 Jan 0001 00:00:00 +0000

Automatically track function calls using Ops

Mon, 01 Jan 0001 00:00:00 +0000

Versioned functions that automatically log all calls in Weave

Automation events and scopes

Mon, 01 Jan 0001 00:00:00 +0000

Automations

Mon, 01 Jan 0001 00:00:00 +0000

Manage, deploy, and monitor your live crews (automations) in one place.

Autoscaling

Mon, 01 Jan 0001 00:00:00 +0000

Configure how your deployment scales based on traffic

Available models

Mon, 01 Jan 0001 00:00:00 +0000

See the models you can train with Serverless RL

Available Models

Mon, 01 Jan 0001 00:00:00 +0000

Browse the foundation models available through W&B Inference

Awesome A2A

Mon, 01 Jan 0001 00:00:00 +0000

Curated list of A2A resources

AWS

Mon, 01 Jan 0001 00:00:00 +0000

Deploy Chroma on AWS using CloudFormation.

AWS Bedrock

Mon, 01 Jan 0001 00:00:00 +0000

AWS Bedrock

Mon, 01 Jan 0001 00:00:00 +0000

Deploy and query Mistral AI models on AWS Bedrock with fully managed, serverless endpoints

AWS Marketplace

Mon, 01 Jan 0001 00:00:00 +0000

AWS Private Deployment Guide (EC2 and EKS)

Mon, 01 Jan 0001 00:00:00 +0000

Deploying Cohere models in AWS via EC2 or EKS for enhanced security, compliance, and control.

Aya Expanse

Mon, 01 Jan 0001 00:00:00 +0000

Understand Cohere Labs highly performant multilingual Aya models, which aim to bring many more languages into generative AI.

Aya Family of Models

Mon, 01 Jan 0001 00:00:00 +0000

Understand Cohere Labs groundbreaking multilingual Aya models, which aim to bring many more languages into generative AI.

Aya Vision

Mon, 01 Jan 0001 00:00:00 +0000

Understand Cohere Labs groundbreaking multilingual model Aya Vision, a state-of-the-art multimodal language model excelling at multiple tasks.

Azure

Mon, 01 Jan 0001 00:00:00 +0000

Deploy Chroma on Azure using Terraform.

Azure AI

Mon, 01 Jan 0001 00:00:00 +0000

Deploy and query Mistral AI models on Azure AI via serverless MaaS or GPU-based endpoints

Azure OpenAI

Mon, 01 Jan 0001 00:00:00 +0000

Azure OpenAI Fine-Tuning

Mon, 01 Jan 0001 00:00:00 +0000

How to Fine-Tune Azure OpenAI models using W&B.

Azure OpenAI Setup

Mon, 01 Jan 0001 00:00:00 +0000

Configure Azure OpenAI with Crew Studio for enterprise LLM connections

Back up a pod-based index

Mon, 01 Jan 0001 00:00:00 +0000

Backup pod-based indexes using Pinecone collections

Back up an index

Mon, 01 Jan 0001 00:00:00 +0000

Create backups of serverless indexes for protection

Backends

Mon, 01 Jan 0001 00:00:00 +0000

Choose and configure filesystem backends for deep agents. You can specify routes to different backends, implement virtual filesystems, and enforce policies.

Backends

Mon, 01 Jan 0001 00:00:00 +0000

Choose and configure filesystem backends for deep agents. You can specify routes to different backends, implement virtual filesystems, and enforce policies.

Background mode

Mon, 01 Jan 0001 00:00:00 +0000

Run long running tasks asynchronously in the background.

Backups overview

Mon, 01 Jan 0001 00:00:00 +0000

Learn about backups of serverless indexes in Pinecone.

Bank support

Mon, 01 Jan 0001 00:00:00 +0000

Bar plots

Mon, 01 Jan 0001 00:00:00 +0000

Visualize metrics, customize axes, and compare categorical data as bars.

Baseten

Mon, 01 Jan 0001 00:00:00 +0000

Bash Tool

Mon, 01 Jan 0001 00:00:00 +0000

The bash tool gives Claude direct shell access to execute commands, making it one of the most powerful and dangerous built-in tools available. It enables agents to run scripts, install packages, manage files, and interact with system utilities, forming the backbone of coding and DevOps automation workflows. Be deliberate about sandboxing: without proper isolation, Claude can execute arbitrary commands with the permissions of the host process. Start with a restrictive allowlist of commands and expand carefully, and always prefer higher-level tools like the text editor for file modifications where available rather than piping through sed or echo.

Basic authentication with email and password

Mon, 01 Jan 0001 00:00:00 +0000

Basic OCR

Mon, 01 Jan 0001 00:00:00 +0000

Extract text and structured content from PDFs and images with Mistral’s Document AI OCR processor

Basic RAG

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to build a basic RAG system by combining retrieval and generation for AI-powered knowledge-based responses

Basic RAG: Retrieval-Augmented Generation with Cohere

Mon, 01 Jan 0001 00:00:00 +0000

This page describes how to work with Cohere’s basic retrieval-augmented generation functionality.

Basic Semantic Search with Cohere Models

Mon, 01 Jan 0001 00:00:00 +0000

This page describes how to do basic semantic search with Cohere’s models.

Basic usage of tool use (function calling)

Mon, 01 Jan 0001 00:00:00 +0000

Overview of Cohere’s tool use system for building agentic workflows — with native citation support that links tool results back to generated text.

Basics

Mon, 01 Jan 0001 00:00:00 +0000

Understand the reinforcement learning fundamentals behind RFT

Batch

Mon, 01 Jan 0001 00:00:00 +0000

Process jobs asynchronously with the Batch API.

Batch API

Mon, 01 Jan 0001 00:00:00 +0000

Process large-scale async workloads

Batch API

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use OpenAI’s Batch API for processing jobs with asynchronous requests, increased rate limits, and cost efficiency.

Batch Embedding Jobs with the Embed API

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use the Embed Jobs API to handle large text data efficiently with a focus on creating datasets and running embed jobs.

Batch Inference

Mon, 01 Jan 0001 00:00:00 +0000

Process multiple API requests in batches with customizable models, endpoints, and metadata

Batch Operations

Mon, 01 Jan 0001 00:00:00 +0000

Execute multiple searches in a single API call for better performance and easier comparison of results.

Batch Processing

Mon, 01 Jan 0001 00:00:00 +0000

Batch processing is the single biggest lever for cutting Claude API costs on non-urgent workloads — it runs requests asynchronously at roughly half the price, which is why it appears in both the cost-optimization and deployment paths. Pay close attention to the 24-hour completion window and the polling and retrieval flow, since batches are not interactive and you design around eventual results. The common pitfall is reaching for batch on latency-sensitive paths where it does not belong. OpenAI offers an equivalent Batch API with a similar discount but a different file-based job format; read the rate-limits page next to see how batch sidesteps per-minute caps.

Batch Processing

Mon, 01 Jan 0001 00:00:00 +0000

BCO Trainer

Mon, 01 Jan 0001 00:00:00 +0000

Bedrock

Mon, 01 Jan 0001 00:00:00 +0000

Bedrock

Mon, 01 Jan 0001 00:00:00 +0000

Track and monitor Amazon Bedrock LLM calls with Weave, capturing foundation model interactions, converse API usage, and multi-provider model deployments through AWS’s unified API for comprehensive observability.

Bedrock Invoke Agent Tool

Mon, 01 Jan 0001 00:00:00 +0000

Enables CrewAI agents to invoke Amazon Bedrock Agents and leverage their capabilities within your workflows

Bedrock Knowledge Base Retriever

Mon, 01 Jan 0001 00:00:00 +0000

Retrieve information from Amazon Bedrock Knowledge Bases using natural language queries

BEMA for Reference Model

Mon, 01 Jan 0001 00:00:00 +0000

Best Practices

Mon, 01 Jan 0001 00:00:00 +0000

This guide distills hard-won patterns for building reliable agent skills that perform well across diverse user inputs and edge cases. Pay particular attention to the guidance on error handling within skill execution and how to design tool descriptions that minimize misuse by the model. A common mistake is writing overly generic skill descriptions, which leads Claude to invoke skills in inappropriate contexts and degrades overall agent quality. Start here after completing the skills quickstart to refine your implementations before deploying to production.

Best Practices for Claude Code

Mon, 01 Jan 0001 00:00:00 +0000

Tips and patterns for getting the most out of Claude Code, from configuring your environment to scaling across parallel sessions.

Best Practices for using Rerank

Mon, 01 Jan 0001 00:00:00 +0000

Tips for optimal endpoint performance, including constraints on the number of documents, tokens per document, and tokens per query.

Beta

Mon, 01 Jan 0001 00:00:00 +0000

Beta Headers

Mon, 01 Jan 0001 00:00:00 +0000

Bienvenue to Mistral AI Documentation

Mon, 01 Jan 0001 00:00:00 +0000

Mistral AI offers open-source and commercial LLMs, APIs, and tools for developers and enterprises to build AI-powered applications

Billing & Pricing

Mon, 01 Jan 0001 00:00:00 +0000

Understand billing, pricing, and lifecycle policies for GPU Clusters

Billing disputes and refunds

Mon, 01 Jan 0001 00:00:00 +0000

Billing Troubleshooting

Mon, 01 Jan 0001 00:00:00 +0000

Resolving payment issues, understanding charges, and managing billing problems.

Box

Mon, 01 Jan 0001 00:00:00 +0000

Box Integration

Mon, 01 Jan 0001 00:00:00 +0000

File storage and document management with Box integration for CrewAI.

Braintrust

Mon, 01 Jan 0001 00:00:00 +0000

Braintrust

Mon, 01 Jan 0001 00:00:00 +0000

Braintrust integration for CrewAI with OpenTelemetry tracing and evaluation

Branching chat

Mon, 01 Jan 0001 00:00:00 +0000

Edit messages, regenerate responses, and navigate conversation branches

Branching chat

Mon, 01 Jan 0001 00:00:00 +0000

Edit messages, regenerate responses, and navigate conversation branches

Brave Search

Mon, 01 Jan 0001 00:00:00 +0000

The ‘BraveSearchTool’ is designed to search the internet using the Brave Search API.

Bright Data Tools

Mon, 01 Jan 0001 00:00:00 +0000

Bright Data integrations for SERP search, Web Unlocker scraping, and Dataset API.

Bring your own bucket (BYOB)

Mon, 01 Jan 0001 00:00:00 +0000

Bring your own cloud (BYOC)

Mon, 01 Jan 0001 00:00:00 +0000

Deploy Pinecone in your own cloud account (AWS, GCP, or Azure), with full control over your infrastructure

Browse Collections

Mon, 01 Jan 0001 00:00:00 +0000

Inspect your Chroma collections with an in-terminal UI.

Browserbase Web Loader

Mon, 01 Jan 0001 00:00:00 +0000

Browserbase is a developer platform to reliably run, manage, and monitor headless browsers.

Build a content builder agent

Mon, 01 Jan 0001 00:00:00 +0000

Build a content writing agent with brand memory, skills, subagents, and image generation

Build a content builder agent

Mon, 01 Jan 0001 00:00:00 +0000

Build a content writing agent with brand memory, skills, subagents, and image generation

Build a custom RAG agent with LangGraph

Mon, 01 Jan 0001 00:00:00 +0000

Build a custom RAG agent with LangGraph

Mon, 01 Jan 0001 00:00:00 +0000

This guide shows how to build a RAG pipeline where the agent decides when and how to retrieve documents, rather than always retrieving on every query. Focus on the routing logic that lets the agent skip retrieval for questions it can answer directly — this is the key difference between naive RAG and agentic RAG. Compare this approach with Pinecone’s retrieval patterns and Cohere’s reranking strategies to see how different parts of the RAG stack complement each other. A common pitfall is over-retrieving: adding too many retrieval nodes or fetching too many documents degrades both latency and answer quality, so tune your retrieval thresholds carefully.

Build a custom SQL agent

Mon, 01 Jan 0001 00:00:00 +0000

Build a data analysis agent

Mon, 01 Jan 0001 00:00:00 +0000

Build an agent that analyzes data files, generates visualizations, and shares results

Build a deep research agent

Mon, 01 Jan 0001 00:00:00 +0000

Build a multi-step web research agent with subagent delegation

Build a deep research agent

Mon, 01 Jan 0001 00:00:00 +0000

Build a multi-step web research agent with subagent delegation

Build a multi-source knowledge base with routing

Mon, 01 Jan 0001 00:00:00 +0000

Build a multi-source knowledge base with routing

Mon, 01 Jan 0001 00:00:00 +0000

This guide demonstrates a router pattern where a top-level agent dispatches queries to specialized sub-agents based on the knowledge domain, which is one of the most practical multi-agent architectures for production systems. The routing mechanism avoids the cost and latency of sending every query to every knowledge source by using an LLM to classify intent first. Focus on how the router prompt is structured and how fallback behavior works when no sub-agent matches, as these are the failure modes you will encounter most in real deployments. Compare this approach with CrewAI’s delegation model and LangGraph’s conditional edges to understand the tradeoffs between explicit routing and emergent coordination.

Build a personal assistant with subagents

Mon, 01 Jan 0001 00:00:00 +0000

Build a personal assistant with subagents

Mon, 01 Jan 0001 00:00:00 +0000

Build a Phone Voice Agent with Together AI

Mon, 01 Jan 0001 00:00:00 +0000

Build a real-time phone voice agent from scratch with Twilio Media Streams, Together AI realtime STT, chat completions, realtime TTS, and local voice activity detection.

Build a RAG agent with LangChain

Mon, 01 Jan 0001 00:00:00 +0000

Build a RAG agent with LangChain

Mon, 01 Jan 0001 00:00:00 +0000

This guide assembles LangChain’s retrieval primitives into a complete RAG agent capable of querying external knowledge and synthesizing answers with citations. The key architectural decision covered here is when to use a simple retrieval chain versus a full agentic RAG loop where the model decides whether and how to retrieve. Pay attention to the prompt engineering patterns for grounding LLM responses in retrieved context, as poorly constructed prompts are the primary cause of hallucination in RAG systems. Read the retrieval guide first for the underlying abstractions, then use this guide to see how they combine in a production-oriented pattern.

Build a semantic search engine with LangChain

Mon, 01 Jan 0001 00:00:00 +0000

Build a semantic search engine with LangChain

Mon, 01 Jan 0001 00:00:00 +0000

Build a SQL agent

Mon, 01 Jan 0001 00:00:00 +0000

Build a SQL agent

Mon, 01 Jan 0001 00:00:00 +0000

Build a SQL Agent with Cohere's LLM Platform

Mon, 01 Jan 0001 00:00:00 +0000

This page contains a tutorial on how to build a SQL agent with Cohere’s LLM platform.

Build a SQL assistant with on-demand skills

Mon, 01 Jan 0001 00:00:00 +0000

Build a SQL assistant with on-demand skills

Mon, 01 Jan 0001 00:00:00 +0000

Build a streaming agent

Mon, 01 Jan 0001 00:00:00 +0000

Build A Tool Using Agent

Mon, 01 Jan 0001 00:00:00 +0000

Build a voice agent with LangChain

Mon, 01 Jan 0001 00:00:00 +0000

Build a voice agent with LangChain

Mon, 01 Jan 0001 00:00:00 +0000

Build an evaluation

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to build an evaluation pipeline with Weave Models and Evaluations

Build an MCP App

Mon, 01 Jan 0001 00:00:00 +0000

Getting started guide for building interactive UI applications with MCP Apps

Build an MCP client

Mon, 01 Jan 0001 00:00:00 +0000

Get started building your own client that can integrate with all MCP servers.

Build an MCP server

Mon, 01 Jan 0001 00:00:00 +0000

Get started building your own server to use in Claude for Desktop and other clients.

Build an Onboarding Assistant with Cohere!

Mon, 01 Jan 0001 00:00:00 +0000

This page describes how to build an onboarding assistant with Cohere’s large language models.

Build applications

Mon, 01 Jan 0001 00:00:00 +0000

Build agentic applications utilizing compatible event AG-UI event streams

Build Chatbots with MongoDB and Cohere

Mon, 01 Jan 0001 00:00:00 +0000

This page describes how to build a chatbot that provides actionable insights on technology company market reports.

Build clients

Mon, 01 Jan 0001 00:00:00 +0000

Showcase: build a conversational CLI agent from scratch using AG-UI and Mastra

Build Crew

Mon, 01 Jan 0001 00:00:00 +0000

A Crew is a group of agents that work together to complete a task.

Build customer support with handoffs

Mon, 01 Jan 0001 00:00:00 +0000

Build customer support with handoffs

Mon, 01 Jan 0001 00:00:00 +0000

Build with Agent Skills

Mon, 01 Jan 0001 00:00:00 +0000

Use agent skills to guide AI coding assistants through MCP server design and implementation

Build with Fireworks AI

Mon, 01 Jan 0001 00:00:00 +0000

Fast inference and fine-tuning for open source models

Build your agent with ADK

Mon, 01 Jan 0001 00:00:00 +0000

Build Your First Crew

Mon, 01 Jan 0001 00:00:00 +0000

Step-by-step tutorial to create a collaborative AI team that works together to solve complex problems.

Build Your First Flow

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to create structured, event-driven workflows with precise control over execution.

Building a Chatbot with Cohere

Mon, 01 Jan 0001 00:00:00 +0000

This page describes building a generative-AI powered chatbot with Cohere.

Building a Creative Text-Based AI Game

Mon, 01 Jan 0001 00:00:00 +0000

Building a Generative AI Agent with Cohere

Mon, 01 Jan 0001 00:00:00 +0000

This page describes building a generative-AI powered agent with Cohere.

Building a RAG Workflow

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to build a RAG workflow with Together AI embedding and chat endpoints!

Building Agentic RAG with Cohere

Mon, 01 Jan 0001 00:00:00 +0000

Hands-on tutorials on building agentic RAG applications with Cohere

Building AI Agents with DSPy

Mon, 01 Jan 0001 00:00:00 +0000

Building AI Applications by Customizing DSPy Modules

Mon, 01 Jan 0001 00:00:00 +0000

Building An AI Data Analyst

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use code interpreter to build an AI data analyst with E2B and Together AI.

Building an LLM Agent with the Cohere API

Mon, 01 Jan 0001 00:00:00 +0000

This page how to use Cohere’s API to build an LLM-based agent.

Building MCP servers for ChatGPT Apps and API integrations

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to build MCP servers for use with ChatGPT Apps, deep research, or API integrations.

Building RAG as Agent

Mon, 01 Jan 0001 00:00:00 +0000

Building RAG models with Cohere

Mon, 01 Jan 0001 00:00:00 +0000

This page walks through building a retrieval-augmented generation model with Cohere.

Building with AI

Mon, 01 Jan 0001 00:00:00 +0000

Use LLMs to process unstructured data in your applications.

Built-in commands

Mon, 01 Jan 0001 00:00:00 +0000

Complete reference for built-in commands available in Claude Code.

Built-in Evaluators

Mon, 01 Jan 0001 00:00:00 +0000

Built-in Tools

Mon, 01 Jan 0001 00:00:00 +0000

Bulk exporting trace data

Mon, 01 Jan 0001 00:00:00 +0000

Cache

Mon, 01 Jan 0001 00:00:00 +0000

Caching

Mon, 01 Jan 0001 00:00:00 +0000

Caching

Mon, 01 Jan 0001 00:00:00 +0000

Calendar Agent with Native Multi Step Tool

Mon, 01 Jan 0001 00:00:00 +0000

This page describes how to use cohere Chat API with list_calendar_events and create_calendar_event tools to book appointments.

Call agents from code

Mon, 01 Jan 0001 00:00:00 +0000

Invoke Agent Builder agents from Python, JavaScript, or any language through the REST API.

Call agents from code

Mon, 01 Jan 0001 00:00:00 +0000

Invoke Fleet agents from Python, JavaScript, or any language through the REST API.

Call schema reference

Mon, 01 Jan 0001 00:00:00 +0000

Reference for the Call object structure and properties

Call tools

Mon, 01 Jan 0001 00:00:00 +0000

How to call tools with W&B Inference

Callback patterns

Mon, 01 Jan 0001 00:00:00 +0000

Callbacks

Mon, 01 Jan 0001 00:00:00 +0000

Callbacks: Observe, Customize, and Control Agent Behavior

Mon, 01 Jan 0001 00:00:00 +0000

Cancel invocation

Mon, 01 Jan 0001 00:00:00 +0000

Cancels an invocation.

Cancel Run

Mon, 01 Jan 0001 00:00:00 +0000

Cancel Runs

Mon, 01 Jan 0001 00:00:00 +0000

Cancel one or more runs. Can cancel runs by thread ID and run IDs, or by status filter.

Cancellation

Mon, 01 Jan 0001 00:00:00 +0000

Cancelling Tasks

Mon, 01 Jan 0001 00:00:00 +0000

Capabilities

Mon, 01 Jan 0001 00:00:00 +0000

Dynamic capability discovery for agents in the AG-UI protocol

Capabilities

Mon, 01 Jan 0001 00:00:00 +0000

Case Lifecycle Hooks

Mon, 01 Jan 0001 00:00:00 +0000

Case studies

Mon, 01 Jan 0001 00:00:00 +0000

Case studies

Mon, 01 Jan 0001 00:00:00 +0000

Cerebras

Mon, 01 Jan 0001 00:00:00 +0000

Cerebras

Mon, 01 Jan 0001 00:00:00 +0000

Cerebras

Mon, 01 Jan 0001 00:00:00 +0000

Use Weave to trace and log LLM calls made via the Cerebras Cloud SDK

Chain Of Density

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use chain of density with W&B Weave

Change your payment method

Mon, 01 Jan 0001 00:00:00 +0000

Update billing payment method for your organization.

Change your payment method

Mon, 01 Jan 0001 00:00:00 +0000

Update your billing payment method.

Changelog

Mon, 01 Jan 0001 00:00:00 +0000

Channels

Mon, 01 Jan 0001 00:00:00 +0000

Configure channels to trigger your Fleet agents automatically.

Channels reference

Mon, 01 Jan 0001 00:00:00 +0000

Build an MCP server that pushes webhooks, alerts, and chat messages into a Claude Code session. Reference for the channel contract: capability declaration, notification events, reply tools, sender gating, and permission relay.

Chat

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to query our open-source chat models.

Chat App with FastAPI

Mon, 01 Jan 0001 00:00:00 +0000

Chat Completions

Mon, 01 Jan 0001 00:00:00 +0000

Create chat completions using the OpenAI-compatible endpoint

Chat Curl

Mon, 01 Jan 0001 00:00:00 +0000

Chat Curl V3.1 Terminus

Mon, 01 Jan 0001 00:00:00 +0000

Chat Nodejs

Mon, 01 Jan 0001 00:00:00 +0000

Chat Nodejs V3.1 Terminus

Mon, 01 Jan 0001 00:00:00 +0000

Chat Prefix Completion

Mon, 01 Jan 0001 00:00:00 +0000

Chat Python

Mon, 01 Jan 0001 00:00:00 +0000

Chat Python V3.1 Terminus

Mon, 01 Jan 0001 00:00:00 +0000

Chat template utilities

Mon, 01 Jan 0001 00:00:00 +0000

Chat Templates

Mon, 01 Jan 0001 00:00:00 +0000

Chat through the OpenAI-compatible interface

Mon, 01 Jan 0001 00:00:00 +0000

Integrate OpenAI-compatible chat interface with Pinecone Assistant.

Chat through the standard interface

Mon, 01 Jan 0001 00:00:00 +0000

Chat with your assistant using the standard interface and API.

ChatGPT Developer mode

Mon, 01 Jan 0001 00:00:00 +0000

Full MCP client access for apps and tools.

ChatKit

Mon, 01 Jan 0001 00:00:00 +0000

Embed a widget to build your own chat experiences.

ChatKit widgets

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to design widgets in your chat experience with ChatKit.

Cheatsheet

Mon, 01 Jan 0001 00:00:00 +0000

DSPy cheatsheet for quick reference

Check data freshness

Mon, 01 Jan 0001 00:00:00 +0000

Monitor data freshness in Pinecone using log sequence numbers and vector counts.

Checkpointing

Mon, 01 Jan 0001 00:00:00 +0000

Track, rewind, and summarize Claude’s edits and conversation to manage session state.

Checkpoints and Resume

Mon, 01 Jan 0001 00:00:00 +0000

Save training progress, resume from failures, and promote checkpoints to deployable models — driven by the recipe.

Choose a permission mode

Mon, 01 Jan 0001 00:00:00 +0000

Control whether Claude asks before editing files or running commands. Cycle modes with Shift+Tab in the CLI or use the mode selector in VS Code, Desktop, and claude.ai.

Choose a pod type and size

Mon, 01 Jan 0001 00:00:00 +0000

Select the right pod configuration for your workload

Choosing A Model

Mon, 01 Jan 0001 00:00:00 +0000

The essential decision guide for anyone evaluating which Claude model to use. Anthropic organizes its models into tiers — Haiku for speed and cost efficiency, Sonnet for the best balance of capability and price, and Opus for maximum intelligence on complex tasks. For product leaders, the key insight is that model selection is a business decision, not just a technical one: choosing Haiku over Opus can reduce costs by 10-20x while still handling most routine tasks. Compare this tiered approach with OpenAI’s model lineup (GPT-4o, GPT-4o mini, o1) and Mistral’s range to understand how the industry structures the speed-cost-quality tradeoff.

Choosing between Graph and Functional APIs

Mon, 01 Jan 0001 00:00:00 +0000

Choosing between Graph and Functional APIs

Mon, 01 Jan 0001 00:00:00 +0000

Chroma and Cohere (Integration Guide)

Mon, 01 Jan 0001 00:00:00 +0000

This page describes how to integrate Cohere and Chroma.

Chroma BM25

Mon, 01 Jan 0001 00:00:00 +0000

Chroma Clients

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to instantiate Chroma clients for Cloud, in-memory, and persistent use cases.

Chroma Cloud

Mon, 01 Jan 0001 00:00:00 +0000

Chroma Cloud Qwen

Mon, 01 Jan 0001 00:00:00 +0000

Chroma Cloud Splade

Mon, 01 Jan 0001 00:00:00 +0000

Chroma Configuration

Mon, 01 Jan 0001 00:00:00 +0000

Environment variables when self-hosting a Chroma server.

Chroma's Thin-Client

Mon, 01 Jan 0001 00:00:00 +0000

Chunking

Mon, 01 Jan 0001 00:00:00 +0000

CI/CD with Pinecone Local and GitHub Actions

Mon, 01 Jan 0001 00:00:00 +0000

Test Pinecone integration with CI/CD workflows.

Citation Formatting

Mon, 01 Jan 0001 00:00:00 +0000

Learn practical citation formatting patterns that help models generate reliable citations.

Citations

Mon, 01 Jan 0001 00:00:00 +0000

Citations

Mon, 01 Jan 0001 00:00:00 +0000

Citations and References

Mon, 01 Jan 0001 00:00:00 +0000

Citations and references enable models to ground responses with sources, ideal for RAG and agentic applications

Citations for tool use (function calling)

Mon, 01 Jan 0001 00:00:00 +0000

Guide on accessing and utilizing citations generated by the Cohere Chat endpoint for tool use. It covers both non-streaming and streaming modes (API v2).

clai

Mon, 01 Jan 0001 00:00:00 +0000

Classification

Mon, 01 Jan 0001 00:00:00 +0000

Classification Finetuning

Mon, 01 Jan 0001 00:00:00 +0000

Classifier Factory

Mon, 01 Jan 0001 00:00:00 +0000

Create and fine-tune custom classification models for intent detection, moderation, sentiment analysis, and more using Mistral’s Classifier Factory

Claude

Mon, 01 Jan 0001 00:00:00 +0000

Claude Agent SDK

Mon, 01 Jan 0001 00:00:00 +0000

Use W&B Weave with the Claude Agent SDK to trace your agent’s queries, tool calls, and multi-turn conversations.

Claude Api Skill

Mon, 01 Jan 0001 00:00:00 +0000

Claude Code

Mon, 01 Jan 0001 00:00:00 +0000

Use Claude Code with Fireworks AI models

Claude Code Analytics Api

Mon, 01 Jan 0001 00:00:00 +0000

Claude Code Features

Mon, 01 Jan 0001 00:00:00 +0000

Claude Code GitHub Actions

Mon, 01 Jan 0001 00:00:00 +0000

Learn about integrating Claude Code into your development workflow with Claude Code GitHub Actions

Claude Code GitLab CI/CD

Mon, 01 Jan 0001 00:00:00 +0000

Learn about integrating Claude Code into your development workflow with GitLab CI/CD

Claude Code in Slack

Mon, 01 Jan 0001 00:00:00 +0000

Delegate coding tasks directly from your Slack workspace

Claude Code on Amazon Bedrock

Mon, 01 Jan 0001 00:00:00 +0000

Learn about configuring Claude Code through Amazon Bedrock, including setup, IAM configuration, and troubleshooting.

Claude Code on Google Vertex AI

Mon, 01 Jan 0001 00:00:00 +0000

Learn about configuring Claude Code through Google Vertex AI, including setup, IAM configuration, and troubleshooting.

Claude Code on Microsoft Foundry

Mon, 01 Jan 0001 00:00:00 +0000

Learn about configuring Claude Code through Microsoft Foundry, including setup, configuration, and troubleshooting.

Claude Code on the web

Mon, 01 Jan 0001 00:00:00 +0000

Run Claude Code tasks asynchronously on secure cloud infrastructure

Claude Code overview

Mon, 01 Jan 0001 00:00:00 +0000

Claude Code is an agentic coding tool that reads your codebase, edits files, runs commands, and integrates with your development tools. Available in your terminal, IDE, desktop app, and browser.

Claude Code Plugin

Mon, 01 Jan 0001 00:00:00 +0000

Install the official Pinecone plugin for Claude Code to get skills, MCP tools, and slash commands for managing indexes and building AI applications.

Claude Code settings

Mon, 01 Jan 0001 00:00:00 +0000

Configure Claude Code with global and project-level settings, and environment variables.

Claude Code with GitHub Enterprise Server

Mon, 01 Jan 0001 00:00:00 +0000

Connect Claude Code to your self-hosted GitHub Enterprise Server instance for web sessions, code review, and plugin marketplaces.

Claude In Microsoft Foundry

Mon, 01 Jan 0001 00:00:00 +0000

Claude On Amazon Bedrock

Mon, 01 Jan 0001 00:00:00 +0000

Claude On Vertex Ai

Mon, 01 Jan 0001 00:00:00 +0000

Claude Prompting Best Practices

Mon, 01 Jan 0001 00:00:00 +0000

This is the most practically useful prompt engineering resource from Anthropic and contains techniques that will materially improve your output quality. Focus on the XML tag structuring approach, which is Claude’s preferred method for delineating sections of complex prompts and produces notably better results than unstructured instructions. A common mistake is transferring prompt patterns that work well with GPT-4 directly to Claude without adaptation – Claude responds better to direct instructions and explicit role definitions than to few-shot example-heavy prompts. Read through the examples carefully and experiment with each technique in the API playground before applying them to production prompts.

Cleanup and Teardown

Mon, 01 Jan 0001 00:00:00 +0000

Delete trainer jobs and deployments after experiments to avoid leaked resources.

CLI

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use the CrewAI CLI to interact with CrewAI.

CLI authentication

Mon, 01 Jan 0001 00:00:00 +0000

CLI command reference

Mon, 01 Jan 0001 00:00:00 +0000

CLI quickstart

Mon, 01 Jan 0001 00:00:00 +0000

CLI reference

Mon, 01 Jan 0001 00:00:00 +0000

Complete reference for Claude Code command-line interface, including commands and flags.

CLI target context

Mon, 01 Jan 0001 00:00:00 +0000

ClickUp Integration

Mon, 01 Jan 0001 00:00:00 +0000

Task and productivity management with ClickUp integration for CrewAI.

Client

Mon, 01 Jan 0001 00:00:00 +0000

Client

Mon, 01 Jan 0001 00:00:00 +0000

Client

Mon, 01 Jan 0001 00:00:00 +0000

Client Sdks

Mon, 01 Jan 0001 00:00:00 +0000

Client-Server Mode

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to run Chroma in client-server mode.

Client-side performance optimization

Mon, 01 Jan 0001 00:00:00 +0000

Optimize your client code for maximum performance with dedicated deployments

Cline with W&B Inference

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to configure the Cline coding agent to use W&B Inference.

Clone and export reports

Mon, 01 Jan 0001 00:00:00 +0000

Export a W&B Report as a PDF or LaTeX.

Cloud

Mon, 01 Jan 0001 00:00:00 +0000

Cloud

Mon, 01 Jan 0001 00:00:00 +0000

Access Mistral AI models via Azure, AWS, Google Cloud, Snowflake, IBM, and Outscale using cloud credits

Cloud Run

Mon, 01 Jan 0001 00:00:00 +0000

Cloudera AI

Mon, 01 Jan 0001 00:00:00 +0000

Vector embedding, RAG, and semantic search at scale

Cloudflare Workers AI

Mon, 01 Jan 0001 00:00:00 +0000

Cluster Storage

Mon, 01 Jan 0001 00:00:00 +0000

Cluster User Management

Mon, 01 Jan 0001 00:00:00 +0000

Co-marketing

Mon, 01 Jan 0001 00:00:00 +0000

Co-marketing

Mon, 01 Jan 0001 00:00:00 +0000

Code Docs RAG Search

Mon, 01 Jan 0001 00:00:00 +0000

The ‘CodeDocsSearchTool’ is a powerful RAG (Retrieval-Augmented Generation) tool designed for semantic searches within code documentation.

Code Embeddings

Mon, 01 Jan 0001 00:00:00 +0000

Code embeddings enable retrieval, clustering, and analytics for code databases and coding assistants using Mistral AI’s API

Code Execution

Mon, 01 Jan 0001 00:00:00 +0000

Sandboxed code execution in AutoGen: Docker-based and local executors for running agent-generated code safely.

Code Execution Tool

Mon, 01 Jan 0001 00:00:00 +0000

The code execution tool lets Claude run Python code in a sandboxed environment during a conversation, enabling data analysis, mathematical computation, and rapid prototyping without requiring external infrastructure. This is particularly valuable for tasks where Claude needs to verify its own reasoning through computation rather than relying on mental arithmetic or approximation. Note that the sandbox has limited package availability and no network access, so complex data science workflows may hit dependency walls. Use this tool when you need deterministic computation results embedded directly in Claude’s response rather than asking the user to run code separately.

Code generation

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use OpenAI Codex models to generate code and build coding agents.

Code Generation for Unfamiliar Libraries

Mon, 01 Jan 0001 00:00:00 +0000

Code Interpreter

Mon, 01 Jan 0001 00:00:00 +0000

The ‘CodeInterpreterTool’ is a powerful tool designed for executing Python 3 code within a secure, isolated environment.

Code Interpreter

Mon, 01 Jan 0001 00:00:00 +0000

Code Interpreter enables safe, on-demand code execution for data analysis, graphing, and more in isolated containers

Code Interpreter

Mon, 01 Jan 0001 00:00:00 +0000

Allow models to write and run Python to solve problems.

Code Review

Mon, 01 Jan 0001 00:00:00 +0000

Set up automated PR reviews that catch logic errors, security vulnerabilities, and regressions using multi-agent analysis of your full codebase

Code Samples

Mon, 01 Jan 0001 00:00:00 +0000

Implementation examples in various languages

Codegen

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use codegen with W&B Weave

Coding

Mon, 01 Jan 0001 00:00:00 +0000

Mistral AI offers Codestral for code generation & FIM, and Devstral for agentic tool use in software development, with integrations for IDEs and frameworks

Coding Agent Skills

Mon, 01 Jan 0001 00:00:00 +0000

Coding Agents

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to enable your CrewAI Agents to write and execute code, and explore advanced features for enhanced functionality.

Coding Tools

Mon, 01 Jan 0001 00:00:00 +0000

Use AGENTS.md to guide coding agents and IDEs across your CrewAI projects.

Coding with AI

Mon, 01 Jan 0001 00:00:00 +0000

Cohere

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Cohere

Mon, 01 Jan 0001 00:00:00 +0000

Cohere

Mon, 01 Jan 0001 00:00:00 +0000

Using Cohere and Pinecone to generate and index high-quality vector embeddings

Cohere

Mon, 01 Jan 0001 00:00:00 +0000

Cohere

Mon, 01 Jan 0001 00:00:00 +0000

Use Weave to automatically track and log LLM calls made via the Cohere Python library

Cohere and LangChain (Integration Guide)

Mon, 01 Jan 0001 00:00:00 +0000

Integrate Cohere with LangChain for advanced chat features, RAG, embeddings, and reranking; this guide includes code examples for each feature.

Cohere Chat on LangChain (Integration Guide)

Mon, 01 Jan 0001 00:00:00 +0000

Integrate Cohere with LangChain to build applications using Cohere’s models and LangChain tools.

Cohere Cookbooks: Build AI Agents and Solutions

Mon, 01 Jan 0001 00:00:00 +0000

Get started with Cohere’s cookbooks to build agents, QA bots, perform searches, and more, all organized by category.

Cohere Embed on LangChain (Integration Guide)

Mon, 01 Jan 0001 00:00:00 +0000

This page describes how to work with Cohere’s embeddings models and LangChain.

Cohere Labs Acceptable Use Policy

Mon, 01 Jan 0001 00:00:00 +0000

“Promoting safe and ethical use of generative AI with guidelines to prevent misuse and abuse.”

Cohere Models on Amazon Bedrock

Mon, 01 Jan 0001 00:00:00 +0000

This document provides a guide for using Cohere’s models on Amazon Bedrock.

Cohere on Amazon Web Services (AWS)

Mon, 01 Jan 0001 00:00:00 +0000

Access Cohere’s language models on AWS with customization options through Amazon SageMaker and Amazon Bedrock.

Cohere on Oracle Cloud Infrastructure (OCI)

Mon, 01 Jan 0001 00:00:00 +0000

This page describes how to work with Cohere models on Oracle Cloud Infrastructure (OCI)

Cohere on the Microsoft Azure Platform

Mon, 01 Jan 0001 00:00:00 +0000

This page describes how to work with Cohere models on Microsoft Azure.

Cohere Rerank on LangChain (Integration Guide)

Mon, 01 Jan 0001 00:00:00 +0000

This page describes how to integrate Cohere’s ReRank models with LangChain.

Cohere SDK Cloud Platform Compatibility

Mon, 01 Jan 0001 00:00:00 +0000

This page describes various places you can use Cohere’s SDK.

Cohere Text Generation Tutorial

Mon, 01 Jan 0001 00:00:00 +0000

This page walks through how Cohere’s generation models work and how to use them.

Cohere Tools on LangChain (Integration Guide)

Mon, 01 Jan 0001 00:00:00 +0000

Explore code examples for multi-step and single-step tool usage in chatbots, harnessing internet search and vector storage.

Cohere's Command A Reasoning Model

Mon, 01 Jan 0001 00:00:00 +0000

Command A Reasoning excels in tool use, agentic workflows, and complex problem-solving. It has 111 billion parameters and a 256k context length.

Cohere's Command A Translate Model

Mon, 01 Jan 0001 00:00:00 +0000

Command A Translate is a state of the art model performant in 23 languages. It has a context length of 16K tokens and 111B parameters.

Cohere's Command A Vision Model

Mon, 01 Jan 0001 00:00:00 +0000

Command A Vision is a powerful visual language model capable of interacting with image inputs. This document contains information about its capabilities.

Cohere's Command R Model

Mon, 01 Jan 0001 00:00:00 +0000

Command R is a conversational model that excels in language tasks and supports multiple languages, making it ideal for coding use cases.

Cohere's Command R+ Model

Mon, 01 Jan 0001 00:00:00 +0000

Command R+ is Cohere’s optimized for conversational interaction and long-context tasks, best suited for complex RAG workflows and multi-step tool use.

Cohere's Command R7B Model

Mon, 01 Jan 0001 00:00:00 +0000

Command R7B is the smallest, fastest, and final model in our R family of enterprise-focused large language models. It excels at RAG, tool use, and agents.

Cohere's Embed Models (Details and Application)

Mon, 01 Jan 0001 00:00:00 +0000

Explore Embed models for text classification and embedding generation in English and multiple languages, with details on dimensions and endpoints.

Cohere's Rerank Model (Details and Application)

Mon, 01 Jan 0001 00:00:00 +0000

This page describes how Cohere’s Rerank models work and how to use them.

Collaborate on reports

Mon, 01 Jan 0001 00:00:00 +0000

Collaborate and share W&B Reports with peers, co-workers, and your team.

Collaboration

Mon, 01 Jan 0001 00:00:00 +0000

How to enable agents to work together, delegate tasks, and communicate effectively within CrewAI teams.

Collaborative agents

Mon, 01 Jan 0001 00:00:00 +0000

Collect and track datasets

Mon, 01 Jan 0001 00:00:00 +0000

Organize, collect, track, and version examples for LLM application evaluation

Collect feedback and use annotations

Mon, 01 Jan 0001 00:00:00 +0000

Collect and analyze feedback for LLM applications through UI and SDK

Collection

Mon, 01 Jan 0001 00:00:00 +0000

Collection

Mon, 01 Jan 0001 00:00:00 +0000

Collection Forking

Mon, 01 Jan 0001 00:00:00 +0000

Instant copy-on-write collection forking in Chroma Cloud.

Combined API docs

Mon, 01 Jan 0001 00:00:00 +0000

Single-file Markdown export of API guides and docs.

Comet Opik

Mon, 01 Jan 0001 00:00:00 +0000

Command A

Mon, 01 Jan 0001 00:00:00 +0000

Command A is a performant mode good at tool use, RAG, agents, and multilingual use cases. It has 111 billion parameters and a 256k context length.

Command Line

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Command Line Interface

Mon, 01 Jan 0001 00:00:00 +0000

Command Line Interfaces (CLIs)

Mon, 01 Jan 0001 00:00:00 +0000

Command R and Command R+ Model Card

Mon, 01 Jan 0001 00:00:00 +0000

This doc provides guidelines for using Cohere generation models ethically and constructively.

Common Tools

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Common workflows

Mon, 01 Jan 0001 00:00:00 +0000

Step-by-step guides for exploring codebases, fixing bugs, refactoring, testing, and other everyday tasks with Claude Code.

Community

Mon, 01 Jan 0001 00:00:00 +0000

Join discussions and contribute to protocol development

Community

Mon, 01 Jan 0001 00:00:00 +0000

Connect with the Weights & Biases community and learn from experts

Community Ports

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Community Resources

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Community Tutorials

Mon, 01 Jan 0001 00:00:00 +0000

Compaction

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Compaction

Mon, 01 Jan 0001 00:00:00 +0000

Manage long-running conversations with server-side and standalone compaction.

Compare and rank models

Mon, 01 Jan 0001 00:00:00 +0000

Compare and rank different model versions based on evaluation metrics

Compare Embeddings for retriever

Mon, 01 Jan 0001 00:00:00 +0000

Compare LLMs using Ragas Evaluations

Mon, 01 Jan 0001 00:00:00 +0000

Compare model performance using the Evaluation Playground

Mon, 01 Jan 0001 00:00:00 +0000

Compare and evaluate model performance without code using Weave’s interactive playground, running evaluations with custom datasets and LLM judges to test system prompts, models, and scoring criteria in a visual interface.

Compare models provided by VertexAI on RAG-based Q&A task using Ragas metrics

Mon, 01 Jan 0001 00:00:00 +0000

Compare run metrics

Mon, 01 Jan 0001 00:00:00 +0000

Compare metrics across multiple runs

Compare runs across projects

Mon, 01 Jan 0001 00:00:00 +0000

Compare runs from two different projects with cross-project reports.

Compare traces

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Compare traces and other logged information

Mon, 01 Jan 0001 00:00:00 +0000

Visually compare and diff code, traces, prompts, models, and configurations

Comparison Testing

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Comparison with OpenCode and Claude Agent SDK

Mon, 01 Jan 0001 00:00:00 +0000

Compare LangChain Deep Agents with OpenCode and Claude Agent SDK to choose the right tool for your use case

Comparison with OpenCode and Claude Agent SDK

Mon, 01 Jan 0001 00:00:00 +0000

Compare LangChain Deep Agents with OpenCode and Claude Agent SDK to choose the right tool for your use case

Completion

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Completions

Mon, 01 Jan 0001 00:00:00 +0000

Completions API

Mon, 01 Jan 0001 00:00:00 +0000

Use the completions API for raw text generation with custom prompt templates

Completions API

Mon, 01 Jan 0001 00:00:00 +0000

Component architecture

Mon, 01 Jan 0001 00:00:00 +0000

Component architecture

Mon, 01 Jan 0001 00:00:00 +0000

Components Guide

Mon, 01 Jan 0001 00:00:00 +0000

Composio

Mon, 01 Jan 0001 00:00:00 +0000

Using Composio With Together AI

Composio Tool

Mon, 01 Jan 0001 00:00:00 +0000

Composio provides 250+ production-ready tools for AI agents with flexible authentication management.

Computer use

Mon, 01 Jan 0001 00:00:00 +0000

Enable models to interact with computer interfaces — clicking, typing, and navigating applications via screenshots, creating agents that can operate any software.

Computer Use Tool

Mon, 01 Jan 0001 00:00:00 +0000

Computer use enables Claude to interact with desktop environments through screenshots, mouse clicks, and keyboard input, effectively giving it the ability to operate any GUI application. This opens up automation for legacy software, web applications behind authentication, and workflows that lack APIs. Be aware that computer use is significantly slower and less reliable than API-based tool calling – treat it as a last resort for tasks that genuinely have no programmatic interface. Start with constrained screen regions and simple click-type sequences before attempting complex multi-window workflows, and always implement human-in-the-loop checkpoints for destructive actions.

Concepts

Mon, 01 Jan 0001 00:00:00 +0000

This document outlines basic Fireworks AI concepts.

Concepts

Mon, 01 Jan 0001 00:00:00 +0000

Understand concepts in Pinecone and how they relate to each other.

Concurrency & Performance

Mon, 01 Jan 0001 00:00:00 +0000

Conditional Tasks

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use conditional tasks in a crewAI kickoff

Conditional tracing

Mon, 01 Jan 0001 00:00:00 +0000

Conditional Workflow

Mon, 01 Jan 0001 00:00:00 +0000

Adapt to different tasks by conditionally navigating to various LLMs and tools.

Configuration

Mon, 01 Jan 0001 00:00:00 +0000

Configure the Deep Agents CLI with config.toml, hooks, and MCP servers

Configuration

Mon, 01 Jan 0001 00:00:00 +0000

Tune model selection, retry logic, rate limits, and runner policies for production workloads.

Configure audit logs

Mon, 01 Jan 0001 00:00:00 +0000

Track user and API actions with audit log configuration.

Configure audit logs

Mon, 01 Jan 0001 00:00:00 +0000

Enable audit logging to Amazon S3 for compliance

Configure checkpointer backend

Mon, 01 Jan 0001 00:00:00 +0000

Configure Agent Server to use PostgreSQL, MongoDB, or a custom implementation for checkpoint storage.

Configure Collections

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to configure Chroma collection index settings and embedding functions.

Configure custom TLS certificates

Mon, 01 Jan 0001 00:00:00 +0000

Configure customer-managed encryption keys

Mon, 01 Jan 0001 00:00:00 +0000

Use customer-managed encryption keys with AWS KMS.

Configure environment variables

Mon, 01 Jan 0001 00:00:00 +0000

How to configure the W&B Server installation

Configure experiments

Mon, 01 Jan 0001 00:00:00 +0000

Use a dictionary-like object to save your experiment configuration

Configure IP allowlisting for Dedicated Cloud

Mon, 01 Jan 0001 00:00:00 +0000

Configure LangSmith Agent Server for scale

Mon, 01 Jan 0001 00:00:00 +0000

Configure LangSmith for scale

Mon, 01 Jan 0001 00:00:00 +0000

Configure permissions

Mon, 01 Jan 0001 00:00:00 +0000

Control what Claude Code can access and do with fine-grained permission rules, modes, and managed policies.

Configure private connectivity to Dedicated Cloud

Mon, 01 Jan 0001 00:00:00 +0000

Configure Private Endpoints for AWS PrivateLink

Mon, 01 Jan 0001 00:00:00 +0000

Secure Pinecone with private VPC endpoints.

Configure prompt settings

Mon, 01 Jan 0001 00:00:00 +0000

Configure registry access

Mon, 01 Jan 0001 00:00:00 +0000

Configure run input and output preview

Mon, 01 Jan 0001 00:00:00 +0000

Configure server-managed settings (public beta)

Mon, 01 Jan 0001 00:00:00 +0000

Centrally configure Claude Code for your organization through server-delivered settings, without requiring device management infrastructure.

Configure Slack alerts

Mon, 01 Jan 0001 00:00:00 +0000

Configure SSO with LDAP

Mon, 01 Jan 0001 00:00:00 +0000

Configure SSO with OIDC

Mon, 01 Jan 0001 00:00:00 +0000

Configure SSO with Okta

Mon, 01 Jan 0001 00:00:00 +0000

Enable SSO authentication using Okta integration.

Configure SSO with Okta

Mon, 01 Jan 0001 00:00:00 +0000

Configure SAML SSO with Okta for enterprise.

Configure threads

Mon, 01 Jan 0001 00:00:00 +0000

Configure Weave environment variables

Mon, 01 Jan 0001 00:00:00 +0000

Configure Weave’s behavior at runtime using environment variables

Configure webhook notifications for LangSmith alerts

Mon, 01 Jan 0001 00:00:00 +0000

Configure webhook notifications for rules

Mon, 01 Jan 0001 00:00:00 +0000

Configure your collector for LangSmith telemetry

Mon, 01 Jan 0001 00:00:00 +0000

Configuring streaming behavior

Mon, 01 Jan 0001 00:00:00 +0000

Confluent

Mon, 01 Jan 0001 00:00:00 +0000

Connect an authentication provider

Mon, 01 Jan 0001 00:00:00 +0000

Connect Claude Code to tools via MCP

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to connect Claude Code to your tools with the Model Context Protocol.

Connect to a custom model

Mon, 01 Jan 0001 00:00:00 +0000

Connect to an external ClickHouse database

Mon, 01 Jan 0001 00:00:00 +0000

Connect to an external PostgreSQL database

Mon, 01 Jan 0001 00:00:00 +0000

Connect to an external Redis database

Mon, 01 Jan 0001 00:00:00 +0000

Connect to an OpenAI compliant model provider/proxy

Mon, 01 Jan 0001 00:00:00 +0000

Connect to any LLM

Mon, 01 Jan 0001 00:00:00 +0000

Comprehensive guide on integrating CrewAI with various Large Language Models (LLMs) using LiteLLM, including supported providers and configuration options.

Connect to local MCP servers

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to extend Claude Desktop with local MCP servers to enable file system access and other powerful integrations

Connect to remote MCP Servers

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to connect Claude to remote MCP servers and extend its capabilities with internet-hosted tools and data sources

Connect your users to Pinecone

Mon, 01 Jan 0001 00:00:00 +0000

Connecting to Multiple MCP Servers

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use MCPServerAdapter in CrewAI to connect to multiple MCP servers simultaneously and aggregate their tools.

Connectors and MCP servers

Mon, 01 Jan 0001 00:00:00 +0000

Use remote MCP servers and OpenAI-maintained connectors for popular services to give models new capabilities.

Connectors Overview

Mon, 01 Jan 0001 00:00:00 +0000

Connectors enable Agents and users to access tools like websearch, code interpreter, image generation, and document library on demand

Console logs

Mon, 01 Jan 0001 00:00:00 +0000

Contact Support

Mon, 01 Jan 0001 00:00:00 +0000

Content Moderation

Mon, 01 Jan 0001 00:00:00 +0000

This guide covers using Claude as a content moderation layer, including prompt design for classification, handling ambiguous cases, and calibrating sensitivity thresholds for different content categories. The practical impact is significant: a well-tuned Claude moderation pipeline can replace or augment dedicated moderation APIs at lower cost while offering more nuanced category distinctions. Pay attention to the latency and cost tradeoffs between using Haiku for high-volume screening versus Sonnet for borderline cases that need deeper reasoning. Combining Claude moderation with traditional keyword filters as a first pass is a pattern worth adopting early to keep API costs manageable at scale.

Context

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Context caching

Mon, 01 Jan 0001 00:00:00 +0000

Context compression

Mon, 01 Jan 0001 00:00:00 +0000

Context Data

Mon, 01 Jan 0001 00:00:00 +0000

Context Editing

Mon, 01 Jan 0001 00:00:00 +0000

Context engineering in agents

Mon, 01 Jan 0001 00:00:00 +0000

Context engineering in agents

Mon, 01 Jan 0001 00:00:00 +0000

Context engineering in Deep Agents

Mon, 01 Jan 0001 00:00:00 +0000

Control what context your deep agent has access to and how it is managed across long-running tasks

Context engineering in Deep Agents

Mon, 01 Jan 0001 00:00:00 +0000

Control what context your deep agent has access to and how it is managed across long-running tasks

Context Entities Recall

Mon, 01 Jan 0001 00:00:00 +0000

Context overview

Mon, 01 Jan 0001 00:00:00 +0000

Context overview

Mon, 01 Jan 0001 00:00:00 +0000

Context Precision

Mon, 01 Jan 0001 00:00:00 +0000

Context Recall

Mon, 01 Jan 0001 00:00:00 +0000

Context snippets overview

Mon, 01 Jan 0001 00:00:00 +0000

Retrieve context snippets from your assistant’s knowledge base.

Context strategies

Mon, 01 Jan 0001 00:00:00 +0000

Control what past messages, attachments, and tool runs are injected into prompts.

Context Windows

Mon, 01 Jan 0001 00:00:00 +0000

Contextual AI

Mon, 01 Jan 0001 00:00:00 +0000

Continue local sessions from any device with Remote Control

Mon, 01 Jan 0001 00:00:00 +0000

Continue a local Claude Code session from your phone, tablet, or any browser using Remote Control. Works with claude.ai/code and the Claude mobile app.

Contribute

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to contribute to Mistral AI through docs, code, community, and the Ambassador Program

Contribute to PEFT

Mon, 01 Jan 0001 00:00:00 +0000

Contributing

Mon, 01 Jan 0001 00:00:00 +0000

How to participate in Agent User Interaction Protocol development

Contributing

Mon, 01 Jan 0001 00:00:00 +0000

Contributing

Mon, 01 Jan 0001 00:00:00 +0000

Contributing

Mon, 01 Jan 0001 00:00:00 +0000

Contributing

Mon, 01 Jan 0001 00:00:00 +0000

Contributing integrations

Mon, 01 Jan 0001 00:00:00 +0000

Contributing integrations

Mon, 01 Jan 0001 00:00:00 +0000

Contributing to code

Mon, 01 Jan 0001 00:00:00 +0000

Contributing to code

Mon, 01 Jan 0001 00:00:00 +0000

Contributing to documentation

Mon, 01 Jan 0001 00:00:00 +0000

Contributing to documentation

Mon, 01 Jan 0001 00:00:00 +0000

Contributing to MCP

Mon, 01 Jan 0001 00:00:00 +0000

How to contribute to the Model Context Protocol project

Contributor Communication

Mon, 01 Jan 0001 00:00:00 +0000

Communication strategy and framework for the Model Context Protocol community

Contributor Ladder

Mon, 01 Jan 0001 00:00:00 +0000

Roles, responsibilities, and advancement criteria for MCP contributors, from first contribution to Core Maintainer

Control automatic LLM call tracking

Mon, 01 Jan 0001 00:00:00 +0000

Control how W&B Weave automatically records calls to OpenAI, Anthropic, and other LLM libraries

Control plane API reference for LangSmith Deployment

Mon, 01 Jan 0001 00:00:00 +0000

control_plane_api

Mon, 01 Jan 0001 00:00:00 +0000

ConversableAgent

Mon, 01 Jan 0001 00:00:00 +0000

The ConversableAgent base class: configurable with system messages, LLM models, tool registrations, and code execution capabilities.

Conversation Simulator

Mon, 01 Jan 0001 00:00:00 +0000

Conversation Simulator Custom Templates

Mon, 01 Jan 0001 00:00:00 +0000

Conversation Simulator Lifecycle Hooks

Mon, 01 Jan 0001 00:00:00 +0000

Conversation Simulator Model Callback

Mon, 01 Jan 0001 00:00:00 +0000

Conversation Simulator Simulation Graph

Mon, 01 Jan 0001 00:00:00 +0000

Conversation Simulator Stopping Logic

Mon, 01 Jan 0001 00:00:00 +0000

Conversation state

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to manage conversation state during a model interaction with the OpenAI API.

Convert weights to safetensors

Mon, 01 Jan 0001 00:00:00 +0000

Cookbook Reference

Mon, 01 Jan 0001 00:00:00 +0000

Configuration classes, checkpoint utilities, and gradient accumulation normalization for cookbook recipes.

Cookbook: Distillation

Mon, 01 Jan 0001 00:00:00 +0000

Single-teacher OPD and routed multi-teacher policy distillation with cookbook recipes.

Cookbook: DPO

Mon, 01 Jan 0001 00:00:00 +0000

Direct Preference Optimization with pairwise data using the cookbook recipe.

Cookbook: Reinforcement Learning

Mon, 01 Jan 0001 00:00:00 +0000

Async RL on Fireworks — write a rollout function, the recipe owns the loop (gate, advantage, weight sync, KL/TIS, PPO, checkpoints). Runs async or fully synchronous.

Cookbook: SFT

Mon, 01 Jan 0001 00:00:00 +0000

Supervised fine-tuning via the cookbook’s sft_loop recipe.

Cookbooks

Mon, 01 Jan 0001 00:00:00 +0000

Explore a range of AI guides and get started with Cohere’s generative platform, ready-made and best-practice optimized.

Cookbooks

Mon, 01 Jan 0001 00:00:00 +0000

Interactive Jupyter notebooks demonstrating advanced use cases and best practices with Fireworks AI

Copy Collections

Mon, 01 Jan 0001 00:00:00 +0000

Copy collections between local Chroma and Chroma Cloud.

Copy Thread

Mon, 01 Jan 0001 00:00:00 +0000

Create a new thread with a copy of the state and checkpoints from an existing thread.

Core architecture

Mon, 01 Jan 0001 00:00:00 +0000

Understand how AG-UI connects front-end applications to AI agents

Core capabilities overview

Mon, 01 Jan 0001 00:00:00 +0000

Overview of Agent Server core capabilities including streaming, human-in-the-loop, MCP, A2A, distributed tracing, webhooks, and double-texting.

Core Concepts

Mon, 01 Jan 0001 00:00:00 +0000

CORS Issues

Mon, 01 Jan 0001 00:00:00 +0000

Cortex

Mon, 01 Jan 0001 00:00:00 +0000

Cost Analysis

Mon, 01 Jan 0001 00:00:00 +0000

Cost Estimator

Mon, 01 Jan 0001 00:00:00 +0000

Estimate and optimize the cost of your RFT training jobs

Cost optimization

Mon, 01 Jan 0001 00:00:00 +0000

Lower your OpenAI model costs by trying our tools and strategies.

Cost tracking

Mon, 01 Jan 0001 00:00:00 +0000

Cost Tracking

Mon, 01 Jan 0001 00:00:00 +0000

Cost tracking in agentic workflows is substantially more complex than single-call API usage because agents make multiple model calls, tool invocations, and potentially spawn sub-agents — all of which accumulate tokens. This guide shows how to instrument the Agent SDK to capture per-turn and per-agent cost breakdowns. Focus on the callback hooks that expose token counts at each step, as these are the foundation for building budget limits and alerting. Without proactive cost tracking, a single runaway agent loop can consume your entire API budget in minutes, making this essential reading before any production deployment.

Count Assistants

Mon, 01 Jan 0001 00:00:00 +0000

Get the count of assistants matching the specified criteria.

Count Crons

Mon, 01 Jan 0001 00:00:00 +0000

Get the count of crons matching the specified criteria.

Count Threads

Mon, 01 Jan 0001 00:00:00 +0000

Get the count of threads matching the specified criteria.

Counting tokens

Mon, 01 Jan 0001 00:00:00 +0000

Count input tokens precisely for text, images, files, and tools using the Responses API — essential for cost management and context window planning.

Courses

Mon, 01 Jan 0001 00:00:00 +0000

Standalone end-to-end examples showing how to use Fireworks to solve real-world use cases

CPO Trainer

Mon, 01 Jan 0001 00:00:00 +0000

Crafting Effective Agents

Mon, 01 Jan 0001 00:00:00 +0000

Learn best practices for designing powerful, specialized AI agents that collaborate effectively to solve complex problems.

Create a collection

Mon, 01 Jan 0001 00:00:00 +0000

Create a pod-based index

Mon, 01 Jan 0001 00:00:00 +0000

Create and configure a pod-based Pinecone index

Create a project

Mon, 01 Jan 0001 00:00:00 +0000

Create a new Pinecone project in your organization.

Create a project

Mon, 01 Jan 0001 00:00:00 +0000

Create a new Pinecone project in your organization.

Create a prompt

Mon, 01 Jan 0001 00:00:00 +0000

Create a registry

Mon, 01 Jan 0001 00:00:00 +0000

Create a report

Mon, 01 Jan 0001 00:00:00 +0000

Create a W&B Report with the W&B App or programmatically.

Create a Slack automation

Mon, 01 Jan 0001 00:00:00 +0000

Create a webhook automation

Mon, 01 Jan 0001 00:00:00 +0000

Create an account and API key

Mon, 01 Jan 0001 00:00:00 +0000

Create an artifact

Mon, 01 Jan 0001 00:00:00 +0000

Create and log a W&B Artifact. Learn how to add one or more files or a URI reference to an Artifact.

Create an artifact alias

Mon, 01 Jan 0001 00:00:00 +0000

Create custom aliases for W&B Artifacts.

Create an artifact version

Mon, 01 Jan 0001 00:00:00 +0000

Create a new artifact version from a single run or from a distributed process.

Create an assistant

Mon, 01 Jan 0001 00:00:00 +0000

Create and deploy a Pinecone Assistant for your knowledge base.

Create an experiment

Mon, 01 Jan 0001 00:00:00 +0000

Create a W&B Experiment.

Create an index

Mon, 01 Jan 0001 00:00:00 +0000

Create dense or sparse indexes for semantic and lexical search.

Create an Ingress for installations (Kubernetes)

Mon, 01 Jan 0001 00:00:00 +0000

Create and distribute a plugin marketplace

Mon, 01 Jan 0001 00:00:00 +0000

Build and host plugin marketplaces to distribute Claude Code extensions across teams and communities.

Create and manage datasets in the UI

Mon, 01 Jan 0001 00:00:00 +0000

Create and manage saved views

Mon, 01 Jan 0001 00:00:00 +0000

Customize how you interact with traced function calls and evaluations

Create and manage vectors with metadata

Mon, 01 Jan 0001 00:00:00 +0000

Create and track plots from experiments

Mon, 01 Jan 0001 00:00:00 +0000

Create and track plots from machine learning experiments.

Create Assistant

Mon, 01 Jan 0001 00:00:00 +0000

Create an assistant.

Create Background Run

Mon, 01 Jan 0001 00:00:00 +0000

Create a run and return the run ID immediately. Don’t wait for the final run output.

Create Background Run

Mon, 01 Jan 0001 00:00:00 +0000

Create a run in existing thread, return the run ID immediately. Don’t wait for the final run output.

Create Chat Completion

Mon, 01 Jan 0001 00:00:00 +0000

Create Chat Completion

Mon, 01 Jan 0001 00:00:00 +0000

Create a new chat completion.

Create Chat Completion

Mon, 01 Jan 0001 00:00:00 +0000

Create a new chat completion.

Create Completion

Mon, 01 Jan 0001 00:00:00 +0000

Create Cron

Mon, 01 Jan 0001 00:00:00 +0000

Create a cron to schedule runs on new threads.

Create custom subagents

Mon, 01 Jan 0001 00:00:00 +0000

Create and use specialized AI subagents in Claude Code for task-specific workflows and improved context management.

Create Custom Tools

Mon, 01 Jan 0001 00:00:00 +0000

Comprehensive guide on crafting, using, and managing custom tools within the CrewAI framework, including new functionalities and error handling.

Create dynamic Leaderboards in Evaluations

Mon, 01 Jan 0001 00:00:00 +0000

Dynamic Leaderboards let you configure, customize, save, and update Leaderboard views directly from an evaluation.

Create invocation

Mon, 01 Jan 0001 00:00:00 +0000

Creates a new invocation for a source.

Create Model

Mon, 01 Jan 0001 00:00:00 +0000

Create a new model.

Create plugins

Mon, 01 Jan 0001 00:00:00 +0000

Create custom plugins to extend Claude Code with skills, agents, hooks, and MCP servers.

Create RL Training Job

Mon, 01 Jan 0001 00:00:00 +0000

Create Run Batch

Mon, 01 Jan 0001 00:00:00 +0000

Create a batch of runs and return immediately.

Create Run, Stream Output

Mon, 01 Jan 0001 00:00:00 +0000

Create a run and stream the output.

Create Run, Stream Output

Mon, 01 Jan 0001 00:00:00 +0000

Create a run in existing thread. Stream the output.

Create Run, Wait for Output

Mon, 01 Jan 0001 00:00:00 +0000

Create a run, wait for the final output and then return it.

Create Run, Wait for Output

Mon, 01 Jan 0001 00:00:00 +0000

Create a run in existing thread. Wait for the final output and then return it.

Create SFT Training Job

Mon, 01 Jan 0001 00:00:00 +0000

Create a new SFT (Supervised Fine-Tuning) training job.

Create source

Mon, 01 Jan 0001 00:00:00 +0000

Creates a new sync source.

Create Thread

Mon, 01 Jan 0001 00:00:00 +0000

Create a thread.

Create Thread Cron

Mon, 01 Jan 0001 00:00:00 +0000

Create a cron to schedule runs on a thread.

Create Tickets In Slack

Mon, 01 Jan 0001 00:00:00 +0000

For customers who have a shared Slack channel with us

Creating a client

Mon, 01 Jan 0001 00:00:00 +0000

A guide for creating Cohere API client using Cohere SDK, supported in 4 different languages – Python, TypeScript, Java, and Go.

Creating a fine-tuned LoRA

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to create a fine-tuned LoRA to use with W&B Inference.

Creating a QA Bot From Technical Documentation

Mon, 01 Jan 0001 00:00:00 +0000

This page describes how to use Cohere to build a simple question-answering system.

Creating and Managing Your Account

Mon, 01 Jan 0001 00:00:00 +0000

Credits

Mon, 01 Jan 0001 00:00:00 +0000

Understanding credits and billing basics on Together AI.

Crew Studio

Mon, 01 Jan 0001 00:00:00 +0000

Build new automations with AI assistance, a visual editor, and integrated testing.

CrewAI

Mon, 01 Jan 0001 00:00:00 +0000

Using CrewAI with Together

CrewAI

Mon, 01 Jan 0001 00:00:00 +0000

Integrate CrewAI with Weave for monitoring and tracing multi-agent applications

CrewAI AMP

Mon, 01 Jan 0001 00:00:00 +0000

Deploy, monitor, and scale your AI agent workflows

CrewAI Cookbooks

Mon, 01 Jan 0001 00:00:00 +0000

Feature-focused quickstarts and notebooks for learning patterns fast.

CrewAI Documentation

Mon, 01 Jan 0001 00:00:00 +0000

Build collaborative AI agents, crews, and flows — production ready from day one.

CrewAI Examples

Mon, 01 Jan 0001 00:00:00 +0000

Explore curated examples organized by Crews, Flows, Integrations, and Notebooks.

CrewAI Run Automation Tool

Mon, 01 Jan 0001 00:00:00 +0000

Enables CrewAI agents to invoke CrewAI Platform automations and leverage external crew services within your workflows.

CrewAI Tracing

Mon, 01 Jan 0001 00:00:00 +0000

Built-in tracing for CrewAI Crews and Flows with the CrewAI AMP platform

CrewGPT

Mon, 01 Jan 0001 00:00:00 +0000

Crews

Mon, 01 Jan 0001 00:00:00 +0000

Understanding and utilizing crews in the crewAI framework with comprehensive attributes and functionalities.

Criteria

Mon, 01 Jan 0001 00:00:00 +0000

CSV RAG Search

Mon, 01 Jan 0001 00:00:00 +0000

The ‘CSVSearchTool’ is a powerful RAG (Retrieval-Augmented Generation) tool designed for semantic searches within a CSV file’s content.

Custom agents

Mon, 01 Jan 0001 00:00:00 +0000

Custom data processing agreements

Mon, 01 Jan 0001 00:00:00 +0000

Custom Evaluators

Mon, 01 Jan 0001 00:00:00 +0000

Custom instrumentation

Mon, 01 Jan 0001 00:00:00 +0000

Custom LLM Implementation

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to create custom LLM implementations in CrewAI.

Custom Manager Agent

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to set a custom agent as the manager in CrewAI, providing more control over task management and coordination.

Custom MCP Servers

Mon, 01 Jan 0001 00:00:00 +0000

Connect your own MCP servers to CrewAI AMP with public access, API key authentication, or OAuth 2.0

Custom Metrics

Mon, 01 Jan 0001 00:00:00 +0000

Custom middleware

Mon, 01 Jan 0001 00:00:00 +0000

Custom middleware

Mon, 01 Jan 0001 00:00:00 +0000

Custom Model Cost

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use custom model cost with W&B Weave

Custom model providers

Mon, 01 Jan 0001 00:00:00 +0000

Configure any LangChain-compatible model provider for the Deep Agents CLI

Custom model providers

Mon, 01 Jan 0001 00:00:00 +0000

Configure any LangChain-compatible model provider for the Deep Agents CLI

Custom models

Mon, 01 Jan 0001 00:00:00 +0000

Custom Models

Mon, 01 Jan 0001 00:00:00 +0000

Upload, verify, and deploy your own models from Hugging Face or elsewhere

Custom Multi-hop Query

Mon, 01 Jan 0001 00:00:00 +0000

Custom output rendering

Mon, 01 Jan 0001 00:00:00 +0000

Custom Single-hop Query

Mon, 01 Jan 0001 00:00:00 +0000

Custom Structured Output

Mon, 01 Jan 0001 00:00:00 +0000

Define and enforce JSON output formats using Pydantic or Zod schemas with Mistral AI

Custom Tools

Mon, 01 Jan 0001 00:00:00 +0000

Custom tools are how you give your agent the ability to take actions beyond conversation – calling APIs, querying databases, executing code, or interacting with any external system. Focus on how the tool’s JSON schema definition directly affects the model’s ability to invoke it correctly; poorly described parameters are the most common source of tool invocation failures. Pay special attention to error handling within tool implementations, since unhandled exceptions will surface as opaque failures in the agentic loop. If your tools need to call external MCP servers instead, read the MCP integration guide as an alternative approach.

Custom Tools for ADK

Mon, 01 Jan 0001 00:00:00 +0000

Custom workflow

Mon, 01 Jan 0001 00:00:00 +0000

Custom workflow

Mon, 01 Jan 0001 00:00:00 +0000

Customer Support Chat

Mon, 01 Jan 0001 00:00:00 +0000

Building an AI-powered customer support chatbot with Claude, including architecture patterns and quality safeguards.

Customer Ticket Portal

Mon, 01 Jan 0001 00:00:00 +0000

Customise models

Mon, 01 Jan 0001 00:00:00 +0000

Customizations

Mon, 01 Jan 0001 00:00:00 +0000

Customize Agents

Mon, 01 Jan 0001 00:00:00 +0000

A comprehensive guide to tailoring agents for specific roles, tasks, and advanced customizations within the CrewAI framework.

Customize Deep Agents

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to customize deep agents with system prompts, tools, subagents, and more

Customize Deep Agents

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to customize deep agents with system prompts, tools, subagents, and more

Customize keyboard shortcuts

Mon, 01 Jan 0001 00:00:00 +0000

Customize keyboard shortcuts in Claude Code with a keybindings configuration file.

Customize log axes

Mon, 01 Jan 0001 00:00:00 +0000

Customize run colors

Mon, 01 Jan 0001 00:00:00 +0000

Customize the error support message

Mon, 01 Jan 0001 00:00:00 +0000

Customize support contact information in the LangSmith frontend for self-hosted deployments.

Customize user management

Mon, 01 Jan 0001 00:00:00 +0000

Customize your status line

Mon, 01 Jan 0001 00:00:00 +0000

Configure a custom status bar to monitor context window usage, costs, and git status in Claude Code

Customizing Prompts

Mon, 01 Jan 0001 00:00:00 +0000

Dive deeper into low-level prompt customization for CrewAI, enabling super custom and complex use cases for different models and languages.

Customizing Test Data Generation

Mon, 01 Jan 0001 00:00:00 +0000

Cybersecurity checks

Mon, 01 Jan 0001 00:00:00 +0000

OpenAI’s cybersecurity checks documentation details the built-in safeguards that prevent models from generating malicious code, exploitation techniques, or detailed vulnerability instructions. Understanding these guardrails matters when building security-adjacent applications like code review tools or penetration testing assistants, where legitimate security content can trigger false positives. Focus on the boundary between allowed and blocked content so you can design prompts that stay within policy while still being useful for defensive security work. If your application handles security-sensitive domains, read this before encountering unexpected refusals in production.

DALL-E Tool

Mon, 01 Jan 0001 00:00:00 +0000

The ‘DallETool’ is a powerful tool designed for generating images from textual descriptions.

Data Analyst

Mon, 01 Jan 0001 00:00:00 +0000

Data controls in the OpenAI platform

Mon, 01 Jan 0001 00:00:00 +0000

Your data is your data. An overview of how OpenAI uses your data, including retention and usage policies.

Data deletion on Pinecone

Mon, 01 Jan 0001 00:00:00 +0000

Understand Pinecone’s secure data deletion process.

Data encryption in Dedicated Cloud

Mon, 01 Jan 0001 00:00:00 +0000

Data handling

Mon, 01 Jan 0001 00:00:00 +0000

Data Handling

Mon, 01 Jan 0001 00:00:00 +0000

Data ingestion overview

Mon, 01 Jan 0001 00:00:00 +0000

Learn about the different ways to ingest data into Pinecone.

Data modeling

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to structure records for efficient data retrieval and management in Pinecone.

Data Preparation

Mon, 01 Jan 0001 00:00:00 +0000

Together Fine-tuning API accepts two data formats for training dataset files: text data and tokenized data (in the form of Parquet files). Below, you can learn about different types of those formats and the scenarios in which they can be most useful.

Data Privacy

Mon, 01 Jan 0001 00:00:00 +0000

Data purging for compliance

Mon, 01 Jan 0001 00:00:00 +0000

Data Residency

Mon, 01 Jan 0001 00:00:00 +0000

Data retrieval with GPT Actions

Mon, 01 Jan 0001 00:00:00 +0000

Learn about performing data retrieval using APIs, relational databases, and vector databases with GPT Actions.

Data Security

Mon, 01 Jan 0001 00:00:00 +0000

How we secure and handle your data for inference and training

Data storage and privacy

Mon, 01 Jan 0001 00:00:00 +0000

Data usage

Mon, 01 Jan 0001 00:00:00 +0000

Learn about Anthropic’s data usage policies for Claude

Data Utilities

Mon, 01 Jan 0001 00:00:00 +0000

data_plane_api

Mon, 01 Jan 0001 00:00:00 +0000

Databricks

Mon, 01 Jan 0001 00:00:00 +0000

Databricks

Mon, 01 Jan 0001 00:00:00 +0000

Using Databricks and Pinecone to create and index vector embeddings at scale

Databricks SQL Query Tool

Mon, 01 Jan 0001 00:00:00 +0000

The ‘DatabricksQueryTool’ executes SQL queries against Databricks workspace tables.

Datadog

Mon, 01 Jan 0001 00:00:00 +0000

Monitoring Pinecone with Datadog

Datadog Integration

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to integrate Datadog with CrewAI to submit LLM Observability traces to Datadog.

Dataset formats and types

Mon, 01 Jan 0001 00:00:00 +0000

Dataset Management

Mon, 01 Jan 0001 00:00:00 +0000

Dataset prebuilt JSON schema types

Mon, 01 Jan 0001 00:00:00 +0000

Dataset Serialization

Mon, 01 Jan 0001 00:00:00 +0000

Dataset transformations

Mon, 01 Jan 0001 00:00:00 +0000

Datasets

Mon, 01 Jan 0001 00:00:00 +0000

Datavolo

Mon, 01 Jan 0001 00:00:00 +0000

DB Management

Mon, 01 Jan 0001 00:00:00 +0000

Manage your Chroma Cloud databases using the CLI.

DBOS

Mon, 01 Jan 0001 00:00:00 +0000

Debug model vs. Pinecone recall issues

Mon, 01 Jan 0001 00:00:00 +0000

Debug SFT tokenization

Mon, 01 Jan 0001 00:00:00 +0000

Download rendered token IDs and loss masks for supervised fine-tuning jobs.

Debugging

Mon, 01 Jan 0001 00:00:00 +0000

A comprehensive guide to debugging Agent User Interaction Protocol (AG-UI) integrations

Debugging

Mon, 01 Jan 0001 00:00:00 +0000

A comprehensive guide to debugging Model Context Protocol (MCP) integrations

Debugging & Monitoring with Pydantic Logfire

Mon, 01 Jan 0001 00:00:00 +0000

Debugging & Observability

Mon, 01 Jan 0001 00:00:00 +0000

Decisions

Mon, 01 Jan 0001 00:00:00 +0000

Decrease latency

Mon, 01 Jan 0001 00:00:00 +0000

Learn techniques to decrease latency for search and upsert operations.

Dedicated Cloud

Mon, 01 Jan 0001 00:00:00 +0000

Deploy W&B Dedicated Cloud in production

Dedicated Endpoints FAQs

Mon, 01 Jan 0001 00:00:00 +0000

Dedicated Inference

Mon, 01 Jan 0001 00:00:00 +0000

Deploy models on your own custom endpoints for improved reliability at scale

Dedicated Models

Mon, 01 Jan 0001 00:00:00 +0000

Dedicated Read Nodes

Mon, 01 Jan 0001 00:00:00 +0000

Dedicated read nodes use provisioned hardware for read operations, providing predictable, low-latency performance at high query volumes.

Deep Agents

Mon, 01 Jan 0001 00:00:00 +0000

Deep Agents

Mon, 01 Jan 0001 00:00:00 +0000

Deep Agents CLI

Mon, 01 Jan 0001 00:00:00 +0000

Terminal coding agent built on the Deep Agents SDK

Deep Agents CLI

Mon, 01 Jan 0001 00:00:00 +0000

Terminal coding agent built on the Deep Agents SDK

Deep Agents overview

Mon, 01 Jan 0001 00:00:00 +0000

Build agents that can plan, use subagents, and leverage file systems for complex tasks

Deep Agents overview

Mon, 01 Jan 0001 00:00:00 +0000

Build agents that can plan, use subagents, and leverage file systems for complex tasks

Deep Dive Into Evaluating RAG Outputs

Mon, 01 Jan 0001 00:00:00 +0000

This page contains information on evaluating the output of RAG systems.

Deep research

Mon, 01 Jan 0001 00:00:00 +0000

Use deep research models for autonomous multi-step research tasks — the model browses the web, synthesizes information, and produces comprehensive reports.

DeepEval

Mon, 01 Jan 0001 00:00:00 +0000

DeepSeek

Mon, 01 Jan 0001 00:00:00 +0000

Deepseek Api

Mon, 01 Jan 0001 00:00:00 +0000

DeepSeek FAQs

Mon, 01 Jan 0001 00:00:00 +0000

DeepSeek R1 Quickstart

Mon, 01 Jan 0001 00:00:00 +0000

How to get the most out of reasoning models like DeepSeek-R1.

DeepSeek V3.1 QuickStart

Mon, 01 Jan 0001 00:00:00 +0000

How to get started with DeepSeek V3.1

DeepSpeed

Mon, 01 Jan 0001 00:00:00 +0000

DeepSpeed Integration

Mon, 01 Jan 0001 00:00:00 +0000

Deferred Tools

Mon, 01 Jan 0001 00:00:00 +0000

Define and log attributes

Mon, 01 Jan 0001 00:00:00 +0000

Use attributes to add meta data to your traces and evaluations.

Define Tools

Mon, 01 Jan 0001 00:00:00 +0000

Delete an artifact

Mon, 01 Jan 0001 00:00:00 +0000

Delete artifacts interactively with the App UI or programmatically with the W&B Python SDK.

Delete an item.

Mon, 01 Jan 0001 00:00:00 +0000

Delete Assistant

Mon, 01 Jan 0001 00:00:00 +0000

Delete an assistant by ID.

Delete Cron

Mon, 01 Jan 0001 00:00:00 +0000

Delete a cron by ID.

Delete Data

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to delete data from Chroma collections.

Delete Model

Mon, 01 Jan 0001 00:00:00 +0000

Delete a model, all its checkpoints, artifacts, and the associated W&B run.

Delete Model Checkpoints

Mon, 01 Jan 0001 00:00:00 +0000

Delete specific checkpoints for a model.

Delete organizations

Mon, 01 Jan 0001 00:00:00 +0000

Delete records

Mon, 01 Jan 0001 00:00:00 +0000

Delete records by ID or metadata filter from indexes

Delete registry

Mon, 01 Jan 0001 00:00:00 +0000

Delete Run

Mon, 01 Jan 0001 00:00:00 +0000

Delete a run by ID.

Delete runs

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to delete runs from a W&B project using the W&B App.

Delete source

Mon, 01 Jan 0001 00:00:00 +0000

Deletes a source with the provided ID.

Delete Thread

Mon, 01 Jan 0001 00:00:00 +0000

Delete a thread by ID.

Delete traces

Mon, 01 Jan 0001 00:00:00 +0000

Delete workspaces

Mon, 01 Jan 0001 00:00:00 +0000

Delete your account

Mon, 01 Jan 0001 00:00:00 +0000

Delete your organization

Mon, 01 Jan 0001 00:00:00 +0000

Dependencies

Mon, 01 Jan 0001 00:00:00 +0000

Deploy an observability stack for your LangSmith deployment

Mon, 01 Jan 0001 00:00:00 +0000

Deploy Finetuned Command Models from AWS Marketplace

Mon, 01 Jan 0001 00:00:00 +0000

This document provides a guide for bringing your own finetuned models to Amazon SageMaker.

Deploy on Air-Gapped Kubernetes

Mon, 01 Jan 0001 00:00:00 +0000

Deploy W&B Platform in air-gapped and disconnected Kubernetes environments

Deploy on Cloud

Mon, 01 Jan 0001 00:00:00 +0000

Deploy other frameworks

Mon, 01 Jan 0001 00:00:00 +0000

Deploy to AMP

Mon, 01 Jan 0001 00:00:00 +0000

Deploy your Crew or Flow to CrewAI AMP

Deploy to Vertex AI Agent Engine

Mon, 01 Jan 0001 00:00:00 +0000

Deploy W&B with Kubernetes Operator

Mon, 01 Jan 0001 00:00:00 +0000

Deploy W&B Platform with Kubernetes Operator on cloud or on-premises

Deploy with Cerebrium

Mon, 01 Jan 0001 00:00:00 +0000

Deploy AI apps effortlessly with Cerebrium’s serverless GPU infrastructure and auto-scaling." (99 characters)

Deploy with Cloudflare Workers AI

Mon, 01 Jan 0001 00:00:00 +0000

Deploy AI models on Cloudflare’s global network with Workers AI for serverless GPU-powered LLMs

Deploy with control plane

Mon, 01 Jan 0001 00:00:00 +0000

Deploy with SkyPilot

Mon, 01 Jan 0001 00:00:00 +0000

Deploy AI models on any cloud with SkyPilot for cost savings, high GPU availability, and managed execution

Deploy your app to Cloud

Mon, 01 Jan 0001 00:00:00 +0000

Deploy your finetuned model on AWS Marketplace

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to deploy your finetuned model on AWS Marketplace.

Deploying a Fine-tuned Model

Mon, 01 Jan 0001 00:00:00 +0000

Once your fine-tune job completes, you should see your new model in your models dashboard.

Deploying Dedicated Endpoints

Mon, 01 Jan 0001 00:00:00 +0000

Guide to creating dedicated endpoints via the web UI.

Deploying Fine Tuned Models

Mon, 01 Jan 0001 00:00:00 +0000

Deploy one or multiple LoRA models fine tuned on Fireworks using live merge or multi-LoRA

Deploying Models in Private Environments

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to pull and test Cohere’s container images using a license with Docker and Kubernetes.

Deploying Your Agent

Mon, 01 Jan 0001 00:00:00 +0000

Deployment

Mon, 01 Jan 0001 00:00:00 +0000

Deployment Options - Overview

Mon, 01 Jan 0001 00:00:00 +0000

This page provides an overview of the available options for deploying Cohere’s models.

Deployment Options Overview

Mon, 01 Jan 0001 00:00:00 +0000

Compare Together AI’s deployment options: fully-managed cloud service vs. secure VPC deployment for enterprises.

DeploymentManager (Compatibility)

Mon, 01 Jan 0001 00:00:00 +0000

Legacy SDK reference for direct deployment lifecycle and weight-sync management.

Deployments

Mon, 01 Jan 0001 00:00:00 +0000

Configure and manage on-demand deployments on dedicated GPUs

Deployments Quickstart

Mon, 01 Jan 0001 00:00:00 +0000

Deploy models on dedicated GPUs in minutes

DeploymentSampler

Mon, 01 Jan 0001 00:00:00 +0000

Client-side tokenized sampling from inference deployments for training and evaluation.

deprecated-spec

Mon, 01 Jan 0001 00:00:00 +0000

Deprecations

Mon, 01 Jan 0001 00:00:00 +0000

Learn about Cohere’s deprecation policies and recommended replacements

Deprecations

Mon, 01 Jan 0001 00:00:00 +0000

Design Principles

Mon, 01 Jan 0001 00:00:00 +0000

The core design principles that guide the development of the Model Context Protocol.

Develop Tests

Mon, 01 Jan 0001 00:00:00 +0000

Developer quickstart

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use the OpenAI API to generate human-like responses to natural language prompts, analyze images with computer vision, use powerful built-in tools, and more.

Developing with Cursor

Mon, 01 Jan 0001 00:00:00 +0000

Use Cursor to build AG-UI implementations faster

Development

Mon, 01 Jan 0001 00:00:00 +0000

Development

Mon, 01 Jan 0001 00:00:00 +0000

Development

Mon, 01 Jan 0001 00:00:00 +0000

Development containers

Mon, 01 Jan 0001 00:00:00 +0000

Learn about the Claude Code development container for teams that need consistent, secure environments.

Development Setup with Fireworks Docs MCP

Mon, 01 Jan 0001 00:00:00 +0000

Configure the Fireworks AI Docs MCP server for Claude Code and Cursor

Dictionary Operations

Mon, 01 Jan 0001 00:00:00 +0000

Differences between Lexical and Semantic Search regarding relevancy

Mon, 01 Jan 0001 00:00:00 +0000

Different Types of API Keys and Rate Limits

Mon, 01 Jan 0001 00:00:00 +0000

This page describes Cohere API rate limits for production and evaluation keys.

Direct Model Requests

Mon, 01 Jan 0001 00:00:00 +0000

Direct preference optimization

Mon, 01 Jan 0001 00:00:00 +0000

Fine-tune models for subjective decision-making by comparing model outputs.

Direct Preference Optimization

Mon, 01 Jan 0001 00:00:00 +0000

Directory RAG Search

Mon, 01 Jan 0001 00:00:00 +0000

The ‘DirectorySearchTool’ is a powerful RAG (Retrieval-Augmented Generation) tool designed for semantic searches within a directory’s content.

Directory Read

Mon, 01 Jan 0001 00:00:00 +0000

The ‘DirectoryReadTool’ is a powerful utility designed to provide a comprehensive listing of directory contents.

Disable automatic updates for W&B Server

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to disable automatic updates for W&B Server.

Disable tracing

Mon, 01 Jan 0001 00:00:00 +0000

Learn options to disable or conditionally turn off W&B Weave tracing

Discover and install prebuilt plugins through marketplaces

Mon, 01 Jan 0001 00:00:00 +0000

Find and install plugins from marketplaces to extend Claude Code with new commands, agents, and capabilities.

Discover errors and usage patterns with the Insights Agent

Mon, 01 Jan 0001 00:00:00 +0000

Distillation

Mon, 01 Jan 0001 00:00:00 +0000

Distillation Trainer

Mon, 01 Jan 0001 00:00:00 +0000

Distributed Architecture

Mon, 01 Jan 0001 00:00:00 +0000

How Chroma scales out with independent services, object storage, SSD caches, and a shared system database.

Distributed tracing with Agent Server

Mon, 01 Jan 0001 00:00:00 +0000

Unify traces when calling your deployed Agent Server from another service using RemoteGraph or the SDK.

Distributed/Cloud Performance

Mon, 01 Jan 0001 00:00:00 +0000

How to think about performance in distributed Chroma deployments.

Distributing Training

Mon, 01 Jan 0001 00:00:00 +0000

Docker

Mon, 01 Jan 0001 00:00:00 +0000

Run Chroma in a Docker Container

Document AI

Mon, 01 Jan 0001 00:00:00 +0000

Mistral Document AI offers enterprise-grade OCR, structured data extraction, and multilingual support for fast, accurate document processing

Document API authentication in OpenAPI

Mon, 01 Jan 0001 00:00:00 +0000

Document Library

Mon, 01 Jan 0001 00:00:00 +0000

Document Library enhances agents with uploaded documents via Mistral Cloud’s built-in RAG tool

Document QnA

Mon, 01 Jan 0001 00:00:00 +0000

Document QnA combines OCR and AI to enable natural language queries on document content for insights and extraction

Document Translation with Command A Translate

Mon, 01 Jan 0001 00:00:00 +0000

This page describes how to use Command A Translate for automated translation across 23 languages with industry-leading performance.

DOCX RAG Search

Mon, 01 Jan 0001 00:00:00 +0000

The ‘DOCXSearchTool’ is a RAG tool designed for semantic searching within DOCX documents.

Double texting

Mon, 01 Jan 0001 00:00:00 +0000

Downgrade your plan

Mon, 01 Jan 0001 00:00:00 +0000

Downgrade from a paid plan to the free Starter plan.

Downgrade your plan

Mon, 01 Jan 0001 00:00:00 +0000

Downgrade from a paid plan to the free Starter plan.

Download a usage report

Mon, 01 Jan 0001 00:00:00 +0000

Export organization usage and cost reports.

Download a usage report

Mon, 01 Jan 0001 00:00:00 +0000

Download detailed usage and cost reports.

Download an artifact from a registry

Mon, 01 Jan 0001 00:00:00 +0000

Download and use artifacts

Mon, 01 Jan 0001 00:00:00 +0000

Download and use Artifacts from multiple projects.

download the validation and reformat script

Mon, 01 Jan 0001 00:00:00 +0000

Download the reformat_data.py script to validate and reformat datasets for Mistral API fine-tuning

DPO Trainer

Mon, 01 Jan 0001 00:00:00 +0000

DSPy

Mon, 01 Jan 0001 00:00:00 +0000

Using DSPy with Together AI

DSPy

Mon, 01 Jan 0001 00:00:00 +0000

Use Weave to automatically track and log calls made using DSPy modules and functions

DSPy Assertions

Mon, 01 Jan 0001 00:00:00 +0000

DSPy Optimizer

Mon, 01 Jan 0001 00:00:00 +0000

DSPy Prompt Optimization

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use dspy prompt optimization with W&B Weave

Durable execution

Mon, 01 Jan 0001 00:00:00 +0000

Durable execution

Mon, 01 Jan 0001 00:00:00 +0000

Dynamic workflows

Mon, 01 Jan 0001 00:00:00 +0000

Edit a report

Mon, 01 Jan 0001 00:00:00 +0000

Edit a report interactively with the App UI or programmatically with the W&B SDK.

Effective Chunking Strategies for RAG

Mon, 01 Jan 0001 00:00:00 +0000

This page describes various chunking strategies you can use to get better RAG performance.

Effort

Mon, 01 Jan 0001 00:00:00 +0000

Egress for billing and operational telemetry

Mon, 01 Jan 0001 00:00:00 +0000

Elasticsearch and Cohere (Integration Guide)

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to create a semantic search pipeline with Elasticsearch and Cohere’s generative AI capabilities.

Elicitation

Mon, 01 Jan 0001 00:00:00 +0000

Email Information Extraction

Mon, 01 Jan 0001 00:00:00 +0000

Embed a report

Mon, 01 Jan 0001 00:00:00 +0000

Embed W&B reports directly into Notion or with an HTML IFrame element.

Embed objects

Mon, 01 Jan 0001 00:00:00 +0000

W&B’s Embedding Projector allows users to plot multi-dimensional embeddings on a 2D plane using common dimension reduction algorithms like PCA, UMAP, and t-SNE.

Embedding Functions

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use embedding functions in Chroma to create vector representations of your data.

Embedding Functions

Mon, 01 Jan 0001 00:00:00 +0000

Embedding Functions

Mon, 01 Jan 0001 00:00:00 +0000

Embedding values changed when upserted

Mon, 01 Jan 0001 00:00:00 +0000

Embeddings

Mon, 01 Jan 0001 00:00:00 +0000

Embeddings

Mon, 01 Jan 0001 00:00:00 +0000

Embeddings

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to get an embedding vector for a given text input.

Embeddings & Reranking

Mon, 01 Jan 0001 00:00:00 +0000

Generate embeddings and rerank results for semantic search

Embeddings Overview

Mon, 01 Jan 0001 00:00:00 +0000

Mistral’s Embeddings API for text and code vector representations — supporting retrieval, clustering, and classification with open-weight models.

Enable blob storage

Mon, 01 Jan 0001 00:00:00 +0000

Enable Crew Studio

Mon, 01 Jan 0001 00:00:00 +0000

Enabling Crew Studio on CrewAI AMP

Enable Insights

Mon, 01 Jan 0001 00:00:00 +0000

Enable JSON mode

Mon, 01 Jan 0001 00:00:00 +0000

How to use JSON mode with W&B Inference

Enable LangSmith Deployment

Mon, 01 Jan 0001 00:00:00 +0000

Enable Polly

Mon, 01 Jan 0001 00:00:00 +0000

Enable streaming responses

Mon, 01 Jan 0001 00:00:00 +0000

How to use streaming output with W&B Inference

Enable structured output

Mon, 01 Jan 0001 00:00:00 +0000

How to configure structured output in W&B Inference responses

Enable TTL and data retention

Mon, 01 Jan 0001 00:00:00 +0000

End-to-end example of RAG with Chat, Embed, and Rerank

Mon, 01 Jan 0001 00:00:00 +0000

Guide on using Cohere’s Retrieval Augmented Generation (RAG) capabilities covering the Chat, Embed, and Rerank endpoints (API v2).

End-to-end RAG using Elasticsearch and Cohere

Mon, 01 Jan 0001 00:00:00 +0000

This page contains a basic tutorial on how to get Cohere and ElasticSearch to work well together.

Enqueue concurrent

Mon, 01 Jan 0001 00:00:00 +0000

Enterprise

Mon, 01 Jan 0001 00:00:00 +0000

The enterprise skills guide addresses deployment concerns that only surface at organizational scale: access control, audit logging, skill versioning, and multi-tenant isolation. Focus on the permission model and how skill execution contexts are sandboxed — getting this wrong can expose one tenant’s data to another. A key pitfall is treating enterprise skill deployment as a simple extension of single-user patterns; the authentication and authorization layers add meaningful complexity to the skill lifecycle. Read this after the quickstart and best practices guides, as it assumes familiarity with core skill mechanics.

Enterprise deployment overview

Mon, 01 Jan 0001 00:00:00 +0000

Learn how Claude Code can integrate with various third-party services and infrastructure to meet enterprise deployment requirements.

Enterprise network configuration

Mon, 01 Jan 0001 00:00:00 +0000

Configure Claude Code for enterprise environments with proxy servers, custom Certificate Authorities (CA), and mutual Transport Layer Security (mTLS) authentication.

enterprise-api.base

Mon, 01 Jan 0001 00:00:00 +0000

enterprise-api.en

Mon, 01 Jan 0001 00:00:00 +0000

enterprise-api.ko

Mon, 01 Jan 0001 00:00:00 +0000

enterprise-api.pt-BR

Mon, 01 Jan 0001 00:00:00 +0000

Enterprise-Managed Authorization

Mon, 01 Jan 0001 00:00:00 +0000

Centralized access control for MCP in enterprise environments via identity providers

Entity Extraction

Mon, 01 Jan 0001 00:00:00 +0000

Enums

Mon, 01 Jan 0001 00:00:00 +0000

Environment variables

Mon, 01 Jan 0001 00:00:00 +0000

Complete reference for environment variables that control Claude Code behavior.

Environment variables

Mon, 01 Jan 0001 00:00:00 +0000

Environment variables

Mon, 01 Jan 0001 00:00:00 +0000

Set W&B environment variables.

Environment Variables

Mon, 01 Jan 0001 00:00:00 +0000

Error codes

Mon, 01 Jan 0001 00:00:00 +0000

An overview of error codes from the OpenAI API and Python library, including solutions and guidance.

Error Codes

Mon, 01 Jan 0001 00:00:00 +0000

Error Codes

Mon, 01 Jan 0001 00:00:00 +0000

An overview on error status codes, causes, and quick fix solutions

Error handling

Mon, 01 Jan 0001 00:00:00 +0000

Handle errors with retry logic and best practices.

Error Handling

Mon, 01 Jan 0001 00:00:00 +0000

Error: Cannot import name 'Pinecone' from 'pinecone'

Mon, 01 Jan 0001 00:00:00 +0000

Error: Handshake read failed when connecting

Mon, 01 Jan 0001 00:00:00 +0000

Errors

Mon, 01 Jan 0001 00:00:00 +0000

Errors

Mon, 01 Jan 0001 00:00:00 +0000

Errors

Mon, 01 Jan 0001 00:00:00 +0000

Essentials

Mon, 01 Jan 0001 00:00:00 +0000

Agent Builder’s core features

Essentials

Mon, 01 Jan 0001 00:00:00 +0000

Fleet’s core features

Estuary

Mon, 01 Jan 0001 00:00:00 +0000

Eval Tool

Mon, 01 Jan 0001 00:00:00 +0000

Evals

Mon, 01 Jan 0001 00:00:00 +0000

Evaluate agent trajectories using deterministic matching or LLM-as-judge evaluators with AgentEvals and LangSmith.

Evals

Mon, 01 Jan 0001 00:00:00 +0000

Evaluate agent trajectories using deterministic matching or LLM-as-judge evaluators with AgentEvals and LangSmith.

Evals In Prod

Mon, 01 Jan 0001 00:00:00 +0000

Evals In Prod

Mon, 01 Jan 0001 00:00:00 +0000

Evals In Prod

Mon, 01 Jan 0001 00:00:00 +0000

Evaluate a chatbot

Mon, 01 Jan 0001 00:00:00 +0000

Evaluate a complex agent

Mon, 01 Jan 0001 00:00:00 +0000

Evaluate a hosted API model

Mon, 01 Jan 0001 00:00:00 +0000

Evaluate a hosted API model using infrastructure managed by CoreWeave

Evaluate a model checkpoint

Mon, 01 Jan 0001 00:00:00 +0000

Evaluate a VLLM-compatible model checkpoint using infrastructure managed by CoreWeave

Evaluate a New LLM

Mon, 01 Jan 0001 00:00:00 +0000

Evaluate a prompt

Mon, 01 Jan 0001 00:00:00 +0000

Evaluate a RAG application

Mon, 01 Jan 0001 00:00:00 +0000

Evaluate a simple LLM application

Mon, 01 Jan 0001 00:00:00 +0000

This is the canonical first hands-on with RAGAS, and it matters because it shows the metric-driven evaluation loop on a simple LLM app before you add retrieval complexity. Focus on how RAGAS frames a sample, a metric, and a score — the same abstractions scale up to full RAG evaluation. A subtle gotcha is that many RAGAS metrics call an LLM under the hood, so scores carry cost and run-to-run variance you must account for. Read this before the RAG tutorial, which layers retrieval metrics on top.

Evaluate a simple RAG system

Mon, 01 Jan 0001 00:00:00 +0000

Evaluate a simple RAG system

Mon, 01 Jan 0001 00:00:00 +0000

This is the practical RAG evaluation walkthrough and the page most teams should run first when they need to measure a retrieval pipeline rather than guess at it. Pay attention to the distinction between retrieval metrics like context precision and recall and generation metrics like faithfulness and answer relevancy, because a RAG system can fail at either stage and the fix differs entirely. A common mistake is optimizing answer quality while ignoring context recall, leaving the model fluent but ungrounded. Start with the simple-evals page first if you are new to RAGAS.

Evaluate a Text-to-SQL Agent

Mon, 01 Jan 0001 00:00:00 +0000

Evaluate an AI Agent

Mon, 01 Jan 0001 00:00:00 +0000

Evaluate an AI Workflow

Mon, 01 Jan 0001 00:00:00 +0000

Evaluate and Improve a RAG App

Mon, 01 Jan 0001 00:00:00 +0000

Evaluate answers

Mon, 01 Jan 0001 00:00:00 +0000

Measure assistant response quality with LLM-based evaluation.

Evaluate external models

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to run evals on non-OpenAI models, using the OpenAI platform.

Evaluate RAG applications

Mon, 01 Jan 0001 00:00:00 +0000

Build and evaluate RAG applications using Weave with LLM judges

Evaluate using local scorers

Mon, 01 Jan 0001 00:00:00 +0000

Small language models that run locally to evaluate AI system safety and quality

Evaluating Multi-turn Conversations

Mon, 01 Jan 0001 00:00:00 +0000

Evaluating Text Summarization Models

Mon, 01 Jan 0001 00:00:00 +0000

This page discusses how to evaluate a model’s text summarization.

Evaluating Use Cases for CrewAI

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to assess your AI application needs and choose the right approach between Crews and Flows based on complexity and precision requirements.

Evaluation

Mon, 01 Jan 0001 00:00:00 +0000

Evaluation

Mon, 01 Jan 0001 00:00:00 +0000

Evaluation

Mon, 01 Jan 0001 00:00:00 +0000

Evaluation

Mon, 01 Jan 0001 00:00:00 +0000

Guide to evaluating LLMs for specific tasks with metrics, human, and LLM-based methods

Evaluation Arena Test Cases

Mon, 01 Jan 0001 00:00:00 +0000

Evaluation benchmark catalog

Mon, 01 Jan 0001 00:00:00 +0000

Browse the evaluation benchmarks available through LLM Evaluation Jobs

Evaluation best practices

Mon, 01 Jan 0001 00:00:00 +0000

Advanced evaluation patterns for production AI systems — handling ambiguous cases, scaling eval suites, avoiding eval gaming, and integrating evals into CI/CD pipelines.

Evaluation Component Level Llm Evals

Mon, 01 Jan 0001 00:00:00 +0000

Evaluation concepts

Mon, 01 Jan 0001 00:00:00 +0000

Evaluation Dataset

Mon, 01 Jan 0001 00:00:00 +0000

Evaluation Datasets

Mon, 01 Jan 0001 00:00:00 +0000

Evaluation End To End Llm Evals

Mon, 01 Jan 0001 00:00:00 +0000

Evaluation End To End Multi Turn

Mon, 01 Jan 0001 00:00:00 +0000

Evaluation End To End Single Turn

Mon, 01 Jan 0001 00:00:00 +0000

Evaluation Flags And Configs

Mon, 01 Jan 0001 00:00:00 +0000

Evaluation Introduction

Mon, 01 Jan 0001 00:00:00 +0000

Evaluation Llm Tracing

Mon, 01 Jan 0001 00:00:00 +0000

Evaluation Mcp

Mon, 01 Jan 0001 00:00:00 +0000

Evaluation Multiturn Test Cases

Mon, 01 Jan 0001 00:00:00 +0000

Evaluation overview

Mon, 01 Jan 0001 00:00:00 +0000

Learn about evaluating the correctness and completeness of assistant responses.

Evaluation Overview

Mon, 01 Jan 0001 00:00:00 +0000

This is the foundational concept page for DSPy’s evaluate-then-optimize workflow, and it is essential reading before you touch any teleprompter. The key insight is that DSPy treats evaluation as a first-class input to compilation rather than an afterthought — your dev set and metric become the signal the optimizer uses to rewrite prompts. Start here, then move to the metrics page to define what good actually means for your task. Watch out for evaluating on the same examples you optimize against, which inflates scores and hides overfitting.

Evaluation Prompts

Mon, 01 Jan 0001 00:00:00 +0000

Evaluation quickstart

Mon, 01 Jan 0001 00:00:00 +0000

This is the fastest path into LangSmith evaluation and the right starting point before the deeper evaluator guides. The key takeaway is the dataset to target-function to evaluator to run loop, which is the mental model every other LangSmith eval feature builds on. Pay attention to how examples and the evaluation client are wired up, since that boilerplate carries over to LLM-as-judge work. A common beginner mistake is evaluating against a dataset that does not represent production traffic, which produces reassuring but meaningless scores.

Evaluation Sample

Mon, 01 Jan 0001 00:00:00 +0000

Evaluation Test Cases

Mon, 01 Jan 0001 00:00:00 +0000

Evaluation types

Mon, 01 Jan 0001 00:00:00 +0000

Evaluation Unit Testing In Ci Cd

Mon, 01 Jan 0001 00:00:00 +0000

Evaluations overview

Mon, 01 Jan 0001 00:00:00 +0000

Evaluation-driven LLM application development to systematically improve applications

Evaluations with Vertex AI models

Mon, 01 Jan 0001 00:00:00 +0000

Evaluators

Mon, 01 Jan 0001 00:00:00 +0000

Understand the fundamentals of evaluators and reward functions in reinforcement fine-tuning

Event Listeners

Mon, 01 Jan 0001 00:00:00 +0000

Tap into CrewAI events to build custom integrations and monitoring

Event Loop

Mon, 01 Jan 0001 00:00:00 +0000

Events

Mon, 01 Jan 0001 00:00:00 +0000

Understanding events in the Agent User Interaction Protocol

Events

Mon, 01 Jan 0001 00:00:00 +0000

Documentation for the events used in the Agent User Interaction Protocol SDK

Events

Mon, 01 Jan 0001 00:00:00 +0000

Documentation for the events used in the Agent User Interaction Protocol Python SDK

Events

Mon, 01 Jan 0001 00:00:00 +0000

EXA Search Web Loader

Mon, 01 Jan 0001 00:00:00 +0000

The ‘EXASearchTool’ is designed to perform a semantic search for a specified query from a text’s content across the internet.

Example Clients

Mon, 01 Jan 0001 00:00:00 +0000

A list of applications that support MCP integrations

Example data format

Mon, 01 Jan 0001 00:00:00 +0000

Example Gallery

Mon, 01 Jan 0001 00:00:00 +0000

Task-oriented examples that demonstrate agent loops, tool usage, guardrails, and integration patterns.

Example reports

Mon, 01 Jan 0001 00:00:00 +0000

Reports gallery

Example Servers

Mon, 01 Jan 0001 00:00:00 +0000

A list of example servers and implementations

Example tables

Mon, 01 Jan 0001 00:00:00 +0000

Examples of W&B Tables

Examples

Mon, 01 Jan 0001 00:00:00 +0000

Examples & Patterns

Mon, 01 Jan 0001 00:00:00 +0000

Complete end-to-end examples demonstrating real-world use cases of the Search API.

Execution Hooks Overview

Mon, 01 Jan 0001 00:00:00 +0000

Understanding and using execution hooks in CrewAI for fine-grained control over agent operations

Experiment configuration

Mon, 01 Jan 0001 00:00:00 +0000

Experimental

Mon, 01 Jan 0001 00:00:00 +0000

Experimentation

Mon, 01 Jan 0001 00:00:00 +0000

Experiments limits and performance

Mon, 01 Jan 0001 00:00:00 +0000

Keep your pages in W&B faster and more responsive by logging within these suggested bounds.

Explore artifact lineage graphs

Mon, 01 Jan 0001 00:00:00 +0000

Traverse direct acyclic W&B Artifact graphs.

Explore the .claude directory

Mon, 01 Jan 0001 00:00:00 +0000

Where Claude Code reads CLAUDE.md, settings.json, hooks, skills, commands, subagents, rules, and auto memory. Explore the .claude directory in your project and ~/.claude in your home directory.

Explore the context window

Mon, 01 Jan 0001 00:00:00 +0000

An interactive simulation of how Claude Code’s context window fills during a session. See what loads automatically, what each file read costs, and when rules and hooks fire.

Export data from Dedicated Cloud

Mon, 01 Jan 0001 00:00:00 +0000

Export data from Dedicated Cloud

Mon, 01 Jan 0001 00:00:00 +0000

Export runs, metrics, artifacts, and reports from a W&B Dedicated Cloud instance using the Python SDK API.

Export evaluation data

Mon, 01 Jan 0001 00:00:00 +0000

Programmatically export evaluation results using the Evaluation REST API.

Export indexes

Mon, 01 Jan 0001 00:00:00 +0000

Export LangSmith telemetry to your observability backend

Mon, 01 Jan 0001 00:00:00 +0000

Export table data

Mon, 01 Jan 0001 00:00:00 +0000

How to export data from tables.

Exporting Metrics

Mon, 01 Jan 0001 00:00:00 +0000

Export metrics from your dedicated deployments to your observability stack

Extend Claude Code

Mon, 01 Jan 0001 00:00:00 +0000

Understand when to use CLAUDE.md, Skills, subagents, hooks, MCP, and plugins.

Extend Claude with skills

Mon, 01 Jan 0001 00:00:00 +0000

Create, manage, and share skills to extend Claude’s capabilities in Claude Code. Includes custom slash commands.

Extensibility

Mon, 01 Jan 0001 00:00:00 +0000

Extension Support Matrix

Mon, 01 Jan 0001 00:00:00 +0000

Which MCP clients implement which official extensions

Extensions Overview

Mon, 01 Jan 0001 00:00:00 +0000

Optional extensions to the Model Context Protocol

Factual Correctness

Mon, 01 Jan 0001 00:00:00 +0000

Faithfulness

Mon, 01 Jan 0001 00:00:00 +0000

Faq

Mon, 01 Jan 0001 00:00:00 +0000

Faq

Mon, 01 Jan 0001 00:00:00 +0000

FAQ

Mon, 01 Jan 0001 00:00:00 +0000

Common questions on DSPy usage, comparisons, optimization, and debugging

FAQs

Mon, 01 Jan 0001 00:00:00 +0000

Frequently asked questions about CrewAI AMP

FAQs

Mon, 01 Jan 0001 00:00:00 +0000

Answers to common questions about Weave tracing

Fast Mode

Mon, 01 Jan 0001 00:00:00 +0000

FastAPI

Mon, 01 Jan 0001 00:00:00 +0000

FastMCP Client

Mon, 01 Jan 0001 00:00:00 +0000

Feature availability

Mon, 01 Jan 0001 00:00:00 +0000

Feedback data format

Mon, 01 Jan 0001 00:00:00 +0000

Feedback Prod

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use feedback prod with W&B Weave

Fetch records

Mon, 01 Jan 0001 00:00:00 +0000

Retrieve complete records by ID or metadata filter.

Fields

Mon, 01 Jan 0001 00:00:00 +0000

File Checkpointing

Mon, 01 Jan 0001 00:00:00 +0000

File inputs

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use files as file inputs in the OpenAI API.

File Read

Mon, 01 Jan 0001 00:00:00 +0000

The ‘FileReadTool’ is designed to read files from the local file system.

File search

Mon, 01 Jan 0001 00:00:00 +0000

Built-in file search tool that lets models search uploaded files for relevant information before generating responses, providing managed RAG without external infrastructure.

File Write

Mon, 01 Jan 0001 00:00:00 +0000

The ‘FileWriterTool’ is designed to write content to files.

Files

Mon, 01 Jan 0001 00:00:00 +0000

Files

Mon, 01 Jan 0001 00:00:00 +0000

Pass images, PDFs, audio, video, and text files to your agents for multimodal processing.

Files in Pinecone Assistant

Mon, 01 Jan 0001 00:00:00 +0000

Understand supported file types and metadata in Pinecone Assistant.

Filter by metadata

Mon, 01 Jan 0001 00:00:00 +0000

Narrow search results with metadata filtering.

Filter runs

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to filter runs in the Runs table using the expression editor.

Filter traces

Mon, 01 Jan 0001 00:00:00 +0000

Filtering with Where

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to filter search results using Where expressions and the Key/K class to narrow down your search to specific documents, IDs, or metadata values.

Fim Completion

Mon, 01 Jan 0001 00:00:00 +0000

Financial Analysis with Yahoo Finance

Mon, 01 Jan 0001 00:00:00 +0000

Financial CSV Agent with Langchain

Mon, 01 Jan 0001 00:00:00 +0000

This page describes how to use Cohere’s models to build an agent able to work with CSV data.

Financial CSV Agent with Native Multi-Step Cohere API

Mon, 01 Jan 0001 00:00:00 +0000

This page describes how to use Cohere’s models and its native API to build an agent able to work with CSV data.

Find and customize a run's ID or name

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to find a run’s unique identifier and run name, how to create a custom run ID, and how to customize a run’s name.

Find registry items

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to search for registries, collections, and artifact versions in the W&B Registry using the global search bar or queries.

Fine Grained Tool Streaming

Mon, 01 Jan 0001 00:00:00 +0000

Fine-grained tool streaming gives you granular control over how tool call arguments and results are delivered incrementally, which is essential for building responsive UIs on top of agentic workflows. Focus on the event types and their ordering — understanding the difference between input_json delta events and tool_result blocks determines how you parse partial tool invocations. One subtle pitfall is assuming tool arguments arrive as valid JSON at each delta; you need to buffer and parse only after the tool use block is complete. Read this after the general streaming guide to layer tool-specific streaming behavior on top of basic SSE handling.

Fine Tuning FAQs

Mon, 01 Jan 0001 00:00:00 +0000

Fine-tuning

Mon, 01 Jan 0001 00:00:00 +0000

Fine-tuning models incurs a $2 monthly storage fee per model; see pricing for details

Fine-tuning best practices

Mon, 01 Jan 0001 00:00:00 +0000

Practical tips for getting fine-tuning right — dataset quality vs quantity, avoiding overfitting, hyperparameter selection, and debugging poor results.

Fine-tuning BYOM

Mon, 01 Jan 0001 00:00:00 +0000

Bring Your Own Model: Fine-tune Custom Models from the Hugging Face Hub

Fine-tuning Guide

Mon, 01 Jan 0001 00:00:00 +0000

Learn the basics and best practices of fine-tuning large language models.

Finetuning Agents

Mon, 01 Jan 0001 00:00:00 +0000

Finetuning Cohere Models on AWS Sagemaker

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to finetune one of Cohere’s models on AWS Sagemaker.

Finetuning on Cohere's Platform

Mon, 01 Jan 0001 00:00:00 +0000

An example of finetuning using Cohere’s platform and a financial dataset.

Fingerprinting

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use CrewAI’s fingerprinting system to uniquely identify and track components throughout their lifecycle.

Fire Pass Setup

Mon, 01 Jan 0001 00:00:00 +0000

Kimi K2.6 Turbo for personal agentic coding — Fire Pass (Early Access), $49 / month

Firecrawl Crawl Website

Mon, 01 Jan 0001 00:00:00 +0000

The ‘FirecrawlCrawlWebsiteTool’ is designed to crawl and convert websites into clean markdown or structured data.

Firecrawl Scrape Website

Mon, 01 Jan 0001 00:00:00 +0000

The ‘FirecrawlScrapeWebsiteTool’ is designed to scrape websites and convert them into clean markdown or structured data.

FiretitanServiceClient & TrainingClient

Mon, 01 Jan 0001 00:00:00 +0000

Connect to a trainer endpoint and use the training client for forward/backward passes, optimizer steps, and checkpointing.

Fireworks

Mon, 01 Jan 0001 00:00:00 +0000

Fireworks Agent Overview

Mon, 01 Jan 0001 00:00:00 +0000

Describe what you want, approve the plan and cost, get a deployed fine-tuned model.

Fireworks Agent: Classification

Mon, 01 Jan 0001 00:00:00 +0000

Benchmark base models, fine-tune on labeled data, and pick the best classifier — automatically.

Fireworks Agent: Evaluator Authoring

Mon, 01 Jan 0001 00:00:00 +0000

Have Fireworks Agent generate a reusable evaluator from your dataset — for scoring candidates in an SFT sweep, or for use with Managed RFT.

Fireworks Agent: Preference Learning (DPO/ORPO)

Mon, 01 Jan 0001 00:00:00 +0000

Run preference fine-tuning end-to-end with optional base-model sweep, automatic pair generation, and pairwise evaluation.

Fireworks Agent: Supervised Fine-Tuning

Mon, 01 Jan 0001 00:00:00 +0000

Run end-to-end SFT with Fireworks Agent — dataset inspection, hyperparameter sweep, evaluator-guided selection, and a deployed winner.

FireworksClient

Mon, 01 Jan 0001 00:00:00 +0000

Account-level operations that don’t require a running trainer job.

Fleak

Mon, 01 Jan 0001 00:00:00 +0000

Fleet webhooks

Mon, 01 Jan 0001 00:00:00 +0000

Integrate agent publishing with external systems, CI/CD pipelines, or custom deployment workflows.

Flex processing

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to optimize costs for asynchronous tasks with flex processing.

Flight booking

Mon, 01 Jan 0001 00:00:00 +0000

Flow HITL Management

Mon, 01 Jan 0001 00:00:00 +0000

Enterprise-grade human review for Flows with email-first notifications, routing rules, and auto-response capabilities

FlowiseAI

Mon, 01 Jan 0001 00:00:00 +0000

Flows

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to create and manage AI workflows using CrewAI Flows.

Force Tool Output as Result

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to force tool output as the result in an Agent’s task in CrewAI.

Fork a run

Mon, 01 Jan 0001 00:00:00 +0000

Explore different parameters or models from a specific point in an experiment without impacting the original run.

Frameworks, runtimes, and harnesses

Mon, 01 Jan 0001 00:00:00 +0000

Understand the differences between LangChain, LangGraph, and Deep Agents and when to use each one

Frameworks, runtimes, and harnesses

Mon, 01 Jan 0001 00:00:00 +0000

Understand the differences between LangChain, LangGraph, and Deep Agents and when to use each one

Frequently asked questions

Mon, 01 Jan 0001 00:00:00 +0000

Frequently Asked Questions

Mon, 01 Jan 0001 00:00:00 +0000

This FAQ addresses the practical edge cases that the other registry guides do not cover in depth, including questions about naming conflicts, transfer of ownership, and delisting policies. Read this after you have gone through the main registry overview and authentication guides, since many answers assume familiarity with those workflows. The sections on troubleshooting publishing failures are particularly valuable if you encounter cryptic errors during your first submission attempt.

Frequently Asked Questions

Mon, 01 Jan 0001 00:00:00 +0000

Frequently Asked Questions About Cohere

Mon, 01 Jan 0001 00:00:00 +0000

Cohere is a powerful platform for using Large Language Models (LLMs). This page covers FAQs related to functionality, pricing, troubleshooting, and more.

from_provider

Mon, 01 Jan 0001 00:00:00 +0000

Frontend

Mon, 01 Jan 0001 00:00:00 +0000

Build React UIs that display real-time subagent streams from deep agents

Frontend

Mon, 01 Jan 0001 00:00:00 +0000

Build generative UIs with real-time streaming from LangChain agents, LangGraph graphs, and custom APIs

Frontend

Mon, 01 Jan 0001 00:00:00 +0000

Build React UIs that display real-time subagent streams from deep agents

Frontend

Mon, 01 Jan 0001 00:00:00 +0000

Build generative UIs with real-time streaming from LangChain agents, LangGraph graphs, and custom APIs

Frontend prompt instructions

Mon, 01 Jan 0001 00:00:00 +0000

Example prompt instructions for frontend work, written for GPT-5.5.

Fueling Generative Content with Keyword Research

Mon, 01 Jan 0001 00:00:00 +0000

This page contains a basic workflow for using Cohere’s models to come up with keyword content ideas.

Full Text Search

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use full-text search and regex filtering in Chroma collections.

Full-text search

Mon, 01 Jan 0001 00:00:00 +0000

Keyword-based search over text documents using BM25, phrase matching, and Lucene query syntax.

Fullscreen rendering

Mon, 01 Jan 0001 00:00:00 +0000

Enable a smoother, flicker-free rendering mode with mouse support and stable memory usage in long conversations.

Fully Sharded Data Parallel

Mon, 01 Jan 0001 00:00:00 +0000

Function calling

Mon, 01 Jan 0001 00:00:00 +0000

Function calling with Mistral models — integrate external tools for dynamic, data-driven responses using JSON Schema tool definitions.

Function calling

Mon, 01 Jan 0001 00:00:00 +0000

Learn how function calling enables large language models to connect to external data and systems.

Function Calling

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to get LLMs to respond to queries with named functions and structured arguments.

Function Calling Fine-tuning

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to fine-tune models with function calling capabilities using Together AI.

Function Tools

Mon, 01 Jan 0001 00:00:00 +0000

Functional API overview

Mon, 01 Jan 0001 00:00:00 +0000

Functional API overview

Mon, 01 Jan 0001 00:00:00 +0000

Galileo

Mon, 01 Jan 0001 00:00:00 +0000

Galileo integration for CrewAI tracing and evaluation

Gathr

Mon, 01 Jan 0001 00:00:00 +0000

GCP

Mon, 01 Jan 0001 00:00:00 +0000

Deploy Chroma on Google Cloud Platform using Terraform.

Gemini

Mon, 01 Jan 0001 00:00:00 +0000

Gemini

Mon, 01 Jan 0001 00:00:00 +0000

Gemini CLI Extension

Mon, 01 Jan 0001 00:00:00 +0000

Install the official Pinecone extension for Gemini CLI to get skills and MCP tools for managing indexes and building AI applications.

Gemma

Mon, 01 Jan 0001 00:00:00 +0000

General

Mon, 01 Jan 0001 00:00:00 +0000

How to improve Chroma performance across single-node and distributed deployments.

General Online Logit Distillation (GOLD) Trainer

Mon, 01 Jan 0001 00:00:00 +0000

General Purpose Metrics

Mon, 01 Jan 0001 00:00:00 +0000

Generalized Knowledge Distillation Trainer

Mon, 01 Jan 0001 00:00:00 +0000

Generate ClickHouse stats

Mon, 01 Jan 0001 00:00:00 +0000

Generate dense embeddings

Mon, 01 Jan 0001 00:00:00 +0000

Generate dense vector embeddings for the given texts using the specified model. Provide either ‘instructions’ or both ’task’ and ’target’ alongside ’texts’.

Generate Parallel Queries for Better RAG Retrieval

Mon, 01 Jan 0001 00:00:00 +0000

Build an agentic RAG system that can expand a user query into a more optimized set of queries for retrieval.

Generate query stats

Mon, 01 Jan 0001 00:00:00 +0000

Generate sparse embeddings

Mon, 01 Jan 0001 00:00:00 +0000

Generate sparse vector embeddings for the given texts using the specified model. Provide either ‘instructions’ or both ’task’ and ’target’ alongside ’texts’. Set ‘fetch_labels’ to true to include token labels in the response.

Generating llms.txt

Mon, 01 Jan 0001 00:00:00 +0000

Generating Multi-Faceted Queries

Mon, 01 Jan 0001 00:00:00 +0000

Build a system that generates multi-faceted queries to capture the full intent of a user’s request.

Generative UI

Mon, 01 Jan 0001 00:00:00 +0000

Understanding AG-UI’s relationship with generative UI specifications

Generative UI

Mon, 01 Jan 0001 00:00:00 +0000

Render AI-generated user interfaces using json-render

Generative UI

Mon, 01 Jan 0001 00:00:00 +0000

Render AI-generated user interfaces using json-render

Generative User Interfaces

Mon, 01 Jan 0001 00:00:00 +0000

AI-generated interfaces without custom tool renderers

Genkit

Mon, 01 Jan 0001 00:00:00 +0000

GEPA for AIME (Math)

Mon, 01 Jan 0001 00:00:00 +0000

GEPA for Code Backdoor Classification (AI control)

Mon, 01 Jan 0001 00:00:00 +0000

GEPA for Privacy-Conscious Delegation

Mon, 01 Jan 0001 00:00:00 +0000

GEPA for Structured Information Extraction for Enterprise Tasks

Mon, 01 Jan 0001 00:00:00 +0000

Get a handle to the Call object during execution

Mon, 01 Jan 0001 00:00:00 +0000

Access the W&B Weave Call object at runtime for feedback, display names, and other metadata

Get Assistant

Mon, 01 Jan 0001 00:00:00 +0000

Get an assistant by ID.

Get Assistant Graph

Mon, 01 Jan 0001 00:00:00 +0000

Get an assistant by ID.

Get Assistant Schemas

Mon, 01 Jan 0001 00:00:00 +0000

Get an assistant by ID.

Get Assistant Subgraphs

Mon, 01 Jan 0001 00:00:00 +0000

Get an assistant’s subgraphs.

Get Assistant Subgraphs by Namespace

Mon, 01 Jan 0001 00:00:00 +0000

Get an assistant’s subgraphs filtered by namespace.

Get Assistant Versions

Mon, 01 Jan 0001 00:00:00 +0000

Get all versions of an assistant.

get data from hugging face

Mon, 01 Jan 0001 00:00:00 +0000

FAQ on data validation, size limits, job creation, and fine-tuning details for Mistral API and mistral-finetune

Get help

Mon, 01 Jan 0001 00:00:00 +0000

Get help

Mon, 01 Jan 0001 00:00:00 +0000

Get invocation

Mon, 01 Jan 0001 00:00:00 +0000

Returns details of an invocation with the provided ID.

Get latest invocations by keys

Mon, 01 Jan 0001 00:00:00 +0000

Returns the latest invocations for the given keys on a source.

Get Run

Mon, 01 Jan 0001 00:00:00 +0000

Get a run by ID.

Get service health status

Mon, 01 Jan 0001 00:00:00 +0000

Returns the health status of the sync service.

Get source

Mon, 01 Jan 0001 00:00:00 +0000

Returns details of a source with the provided ID.

Get started

Mon, 01 Jan 0001 00:00:00 +0000

Get Started

Mon, 01 Jan 0001 00:00:00 +0000

DSPy overview and quick start guide

Get started with Studio

Mon, 01 Jan 0001 00:00:00 +0000

Get started with the desktop app

Mon, 01 Jan 0001 00:00:00 +0000

Install Claude Code on desktop and start your first coding session

Get Started with W&B Models

Mon, 01 Jan 0001 00:00:00 +0000

Get Started with Weights & Biases

Mon, 01 Jan 0001 00:00:00 +0000

Choose the right W&B product for your use case and learn how to get started

Get Thread

Mon, 01 Jan 0001 00:00:00 +0000

Get a thread by ID.

Get Thread History

Mon, 01 Jan 0001 00:00:00 +0000

Get all past states for a thread.

Get Thread History Post

Mon, 01 Jan 0001 00:00:00 +0000

Get all past states for a thread.

Get Thread State

Mon, 01 Jan 0001 00:00:00 +0000

Get state for a thread.

Get Thread State At Checkpoint

Mon, 01 Jan 0001 00:00:00 +0000

Get state for a thread at a specific checkpoint.

Get Thread State At Checkpoint

Mon, 01 Jan 0001 00:00:00 +0000

Get state for a thread at a specific checkpoint.

Get Training Job

Mon, 01 Jan 0001 00:00:00 +0000

Get a training job by ID.

Get Training Job Events

Mon, 01 Jan 0001 00:00:00 +0000

Get events for a training job.

Get User Balance

Mon, 01 Jan 0001 00:00:00 +0000

Getting Help

Mon, 01 Jan 0001 00:00:00 +0000

Getting Started

Mon, 01 Jan 0001 00:00:00 +0000

Chroma is an open-source search engine for AI. It comes with everything you need to get started built-in, and runs on your machine.

Getting Started

Mon, 01 Jan 0001 00:00:00 +0000

This five-minute quickstart is the fastest way into DeepEval: install it, write a test case, pick a metric, and run deepeval test run, which feels like pytest for LLM outputs. The critical thing to set up first is an OPENAI_API_KEY, because nearly all DeepEval metrics are LLM-as-a-judge evaluators that call a model under the hood. If a run appears stuck, suspect rate limits or quota rather than a framework bug, the most common early gotcha. DeepEval covers similar ground to RAGAS but with a pytest-style assertion workflow; read the metrics introduction next.

Getting Started

Mon, 01 Jan 0001 00:00:00 +0000

Quick start guide

Getting Started

Mon, 01 Jan 0001 00:00:00 +0000

Getting Started Agents

Mon, 01 Jan 0001 00:00:00 +0000

Getting Started Chatbots

Mon, 01 Jan 0001 00:00:00 +0000

Getting Started Llm Arena

Mon, 01 Jan 0001 00:00:00 +0000

Getting Started Mcp

Mon, 01 Jan 0001 00:00:00 +0000

Getting Started Rag

Mon, 01 Jan 0001 00:00:00 +0000

Getting Started with Basic Tool Use

Mon, 01 Jan 0001 00:00:00 +0000

This page describes how to work with Cohere’s basic tool use functionality.

Getting started with datasets

Mon, 01 Jan 0001 00:00:00 +0000

Introduction to evaluation datasets — the foundation for systematic AI testing and the first step in eval-driven development.

Getting started with GPT Actions

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to set up and test GPT actions from scratch with the OpenAI API.

Getting Started with Logprobs

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to return log probabilities for your output tokens & build better classifiers.

GFPO

Mon, 01 Jan 0001 00:00:00 +0000

GitHub

Mon, 01 Jan 0001 00:00:00 +0000

Sync GitHub repositories into Chroma Cloud.

GitHub Copilot

Mon, 01 Jan 0001 00:00:00 +0000

Use Fireworks AI models in GitHub Copilot Chat via a custom endpoint

GitHub Copilot

Mon, 01 Jan 0001 00:00:00 +0000

GitHub Integration

Mon, 01 Jan 0001 00:00:00 +0000

Repository and issue management with GitHub integration for CrewAI.

Github Search

Mon, 01 Jan 0001 00:00:00 +0000

The ‘GithubSearchTool’ is designed to search websites and convert them into clean markdown or structured data.

GKE

Mon, 01 Jan 0001 00:00:00 +0000

GLM-5 Quickstart

Mon, 01 Jan 0001 00:00:00 +0000

How to get the most out of GLM-5 for reasoning and agentic tasks.

Glossary

Mon, 01 Jan 0001 00:00:00 +0000

Glossary

Mon, 01 Jan 0001 00:00:00 +0000

Definitions for key terms used across Fireworks AI documentation.

Glossary

Mon, 01 Jan 0001 00:00:00 +0000

Glossary of key AI and LLM terms, including LLMs, text generation, tokens, MoE, RAG, fine-tuning, function calling, embeddings, and temperature

Gmail Integration

Mon, 01 Jan 0001 00:00:00 +0000

Email and contact management with Gmail integration for CrewAI.

Gmail Trigger

Mon, 01 Jan 0001 00:00:00 +0000

Trigger automations when Gmail events occur (e.g., new emails, labels).

Go

Mon, 01 Jan 0001 00:00:00 +0000

Go

Mon, 01 Jan 0001 00:00:00 +0000

Go

Mon, 01 Jan 0001 00:00:00 +0000

Going Live with a Cohere Model

Mon, 01 Jan 0001 00:00:00 +0000

Learn to upgrade from a Trial to a Production key; understand the limitations and benefits of each and go live with Cohere.

Going to production

Mon, 01 Jan 0001 00:00:00 +0000

Take your Deep Agent to production with persistent memory, sandboxes, resilience middleware, and deployment options

Going to production

Mon, 01 Jan 0001 00:00:00 +0000

Take your Deep Agent to production with persistent memory, sandboxes, resilience middleware, and deployment options

Golden Synthesizer

Mon, 01 Jan 0001 00:00:00 +0000

Google

Mon, 01 Jan 0001 00:00:00 +0000

Google

Mon, 01 Jan 0001 00:00:00 +0000

Use Weave to trace and log Google GenAI model calls

Google ADK

Mon, 01 Jan 0001 00:00:00 +0000

Google Agent Development Kit (ADK)

Mon, 01 Jan 0001 00:00:00 +0000

Trace Google Agent Development Kit (ADK) agent and tool calls in Weave using OpenTelemetry

Google Calendar Integration

Mon, 01 Jan 0001 00:00:00 +0000

Event and schedule management with Google Calendar integration for CrewAI.

Google Calendar Trigger

Mon, 01 Jan 0001 00:00:00 +0000

Kick off crews when Google Calendar events are created, updated, or cancelled

Google Cloud Marketplace

Mon, 01 Jan 0001 00:00:00 +0000

Google Contacts Integration

Mon, 01 Jan 0001 00:00:00 +0000

Contact and directory management with Google Contacts integration for CrewAI.

Google Docs Integration

Mon, 01 Jan 0001 00:00:00 +0000

Document creation and editing with Google Docs integration for CrewAI.

Google Drive Integration

Mon, 01 Jan 0001 00:00:00 +0000

File storage and management with Google Drive integration for CrewAI.

Google Drive Trigger

Mon, 01 Jan 0001 00:00:00 +0000

Respond to Google Drive file events with automated crews

Google Gemini

Mon, 01 Jan 0001 00:00:00 +0000

Google Gemini

Mon, 01 Jan 0001 00:00:00 +0000

Google GenAI

Mon, 01 Jan 0001 00:00:00 +0000

Google Search Grounding

Mon, 01 Jan 0001 00:00:00 +0000

Google Serper Search

Mon, 01 Jan 0001 00:00:00 +0000

The ‘SerperDevTool’ is designed to search the internet and return the most relevant results.

Google Sheets Integration

Mon, 01 Jan 0001 00:00:00 +0000

Spreadsheet data synchronization with Google Sheets integration for CrewAI.

Google Slides Integration

Mon, 01 Jan 0001 00:00:00 +0000

Presentation creation and management with Google Slides integration for CrewAI.

Governance and Stewardship

Mon, 01 Jan 0001 00:00:00 +0000

Learn about the Model Context Protocol’s governance structure and how to participate in the community

GPT Action authentication

Mon, 01 Jan 0001 00:00:00 +0000

Learn about authentication options for GPT actions, including no authentication, API key, and OAuth methods.

GPT Actions

Mon, 01 Jan 0001 00:00:00 +0000

Learn about GPT Actions for customizing ChatGPT and interacting with external applications via APIs.

GPT Actions library

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to build and integrate GPT Actions for common applications using OpenAI’s guidance.

GPT Release Notes

Mon, 01 Jan 0001 00:00:00 +0000

Keep track of updates to OpenAI GPTs and explore new features and capabilities in the release notes.

GPU Clusters Overview

Mon, 01 Jan 0001 00:00:00 +0000

High-performance GPU clusters for training, fine-tuning, and large-scale AI workloads

Graders

Mon, 01 Jan 0001 00:00:00 +0000

Learn about graders used for evals and fine-tuning.

Granular billable usage

Mon, 01 Jan 0001 00:00:00 +0000

Retrieve detailed trace usage data broken down by workspace, project, user, or API key.

Graph API overview

Mon, 01 Jan 0001 00:00:00 +0000

Graph API overview

Mon, 01 Jan 0001 00:00:00 +0000

Graph execution

Mon, 01 Jan 0001 00:00:00 +0000

Visualize multi-step graph pipelines with per-node status and streaming content

Graph execution

Mon, 01 Jan 0001 00:00:00 +0000

Visualize multi-step graph pipelines with per-node status and streaming content

Graph routes

Mon, 01 Jan 0001 00:00:00 +0000

Graph-based agent workflows

Mon, 01 Jan 0001 00:00:00 +0000

Griptape

Mon, 01 Jan 0001 00:00:00 +0000

Groq

Mon, 01 Jan 0001 00:00:00 +0000

Groq

Mon, 01 Jan 0001 00:00:00 +0000

Groq

Mon, 01 Jan 0001 00:00:00 +0000

Track and monitor Groq’s ultra-fast LPU™ inference with Weave, capturing model calls, performance metrics, and function chains for high-speed LLM applications using Groq’s specialized hardware acceleration.

Grounded Summarization Using Command R

Mon, 01 Jan 0001 00:00:00 +0000

This page contains a basic tutorial on how to do grounded summarization with Cohere’s models.

Grounding agents with data

Mon, 01 Jan 0001 00:00:00 +0000

Group By & Aggregation

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to group search results by metadata keys and select the top results from each group. GroupBy is useful for diversifying results, deduplication, and category-aware ranking.

Group Charter Template

Mon, 01 Jan 0001 00:00:00 +0000

Template for MCP Working Group and Interest Group charters.

GroupChat Pattern

Mon, 01 Jan 0001 00:00:00 +0000

AutoGen’s GroupChat coordinates multiple agents through managed conversation turns with configurable speaker selection strategies (round-robin, LLM-driven, or custom).

GRPO Trainer

Mon, 01 Jan 0001 00:00:00 +0000

GRPO With Replay Buffer

Mon, 01 Jan 0001 00:00:00 +0000

GSPO-token

Mon, 01 Jan 0001 00:00:00 +0000

Guardrails

Mon, 01 Jan 0001 00:00:00 +0000

Implement safety checks and content filtering for your agents

Guardrails

Mon, 01 Jan 0001 00:00:00 +0000

Implement safety checks and content filtering for your agents

Guardrails

Mon, 01 Jan 0001 00:00:00 +0000

Define validators that run alongside the agent loop to enforce business and safety rules.

Guardrails and human review

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use guardrails and human review in the OpenAI Agents SDK for safer, more controlled workflows.

Guides Ai Agent Evaluation

Mon, 01 Jan 0001 00:00:00 +0000

Guides Ai Agent Evaluation Metrics

Mon, 01 Jan 0001 00:00:00 +0000

Guides Answer Correctness Metric

Mon, 01 Jan 0001 00:00:00 +0000

Guides Building Custom Metrics

Mon, 01 Jan 0001 00:00:00 +0000

Guides Homepage

Mon, 01 Jan 0001 00:00:00 +0000

Quickstarts and step-by-step guides for building with Together AI.

Guides Llm As A Judge

Mon, 01 Jan 0001 00:00:00 +0000

Guides Llm Observability

Mon, 01 Jan 0001 00:00:00 +0000

Guides Multi Turn Evaluation

Mon, 01 Jan 0001 00:00:00 +0000

Guides Multi Turn Evaluation Metrics

Mon, 01 Jan 0001 00:00:00 +0000

Guides Multi Turn Simulation

Mon, 01 Jan 0001 00:00:00 +0000

Guides Optimizing Hyperparameters

Mon, 01 Jan 0001 00:00:00 +0000

Guides Rag Evaluation

Mon, 01 Jan 0001 00:00:00 +0000

Guides Rag Triad

Mon, 01 Jan 0001 00:00:00 +0000

Guides Red Teaming

Mon, 01 Jan 0001 00:00:00 +0000

Guides Regression Testing In Cicd

Mon, 01 Jan 0001 00:00:00 +0000

Guides Tracing Ai Agents

Mon, 01 Jan 0001 00:00:00 +0000

Guides Tracing Multi Turn

Mon, 01 Jan 0001 00:00:00 +0000

Guides Tracing Rag

Mon, 01 Jan 0001 00:00:00 +0000

Guides Using Custom Embedding Models

Mon, 01 Jan 0001 00:00:00 +0000

Guides Using Custom Llms

Mon, 01 Jan 0001 00:00:00 +0000

Guides Using Synthesizer

Mon, 01 Jan 0001 00:00:00 +0000

Hallucination Guardrail

Mon, 01 Jan 0001 00:00:00 +0000

Prevent and detect AI hallucinations in your CrewAI tasks

Handle Streaming Refusals

Mon, 01 Jan 0001 00:00:00 +0000

Streaming refusals present a unique UX challenge: tokens have already been sent to the client before the model decides to refuse, so you cannot simply suppress the response. This guide covers detection strategies and graceful recovery patterns for when Claude mid-stream determines a request violates safety guidelines. Pay close attention to the stop reason codes and how they differ from normal completion events — your streaming parser needs to handle refusal signals without crashing or displaying partial unsafe content. Implement these patterns early in development rather than retrofitting them after users encounter jarring truncated responses in production.

Handle Tool Calls

Mon, 01 Jan 0001 00:00:00 +0000

Handling Stop Reasons

Mon, 01 Jan 0001 00:00:00 +0000

Handoffs

Mon, 01 Jan 0001 00:00:00 +0000

Handoffs

Mon, 01 Jan 0001 00:00:00 +0000

LangChain’s handoff mechanism lets you transfer execution between agents in a multi-agent graph, and it is worth comparing directly with OpenAI’s Agents SDK handoffs, which use explicit handoff objects rather than graph edges. Focus on how handoffs in LangChain are implemented as special tool calls that the framework intercepts to reroute execution — understanding this internal mechanism helps you debug cases where handoffs silently fail. Read the “Thinking in LangGraph” doc first, because handoffs only make sense once you understand LangGraph’s state machine model. Be mindful that handoff state serialization can be a source of subtle bugs when agents pass complex objects between each other.

Handoffs

Mon, 01 Jan 0001 00:00:00 +0000

Delegate tasks between agents with intent classification, argument passing, and return values.

Harness capabilities

Mon, 01 Jan 0001 00:00:00 +0000

Harness capabilities

Mon, 01 Jan 0001 00:00:00 +0000

Haystack

Mon, 01 Jan 0001 00:00:00 +0000

Haystack

Mon, 01 Jan 0001 00:00:00 +0000

Using Haystack and Pinecone to keep your NLP-driven apps up-to-date

Haystack

Mon, 01 Jan 0001 00:00:00 +0000

Haystack and Cohere (Integration Guide)

Mon, 01 Jan 0001 00:00:00 +0000

Build custom LLM applications with Haystack, now integrated with Cohere for embedding, generation, chat, and retrieval.

Haystack Integration

Mon, 01 Jan 0001 00:00:00 +0000

Health Check

Mon, 01 Jan 0001 00:00:00 +0000

Check the health status of the server. Optionally check database connectivity.

Health Check

Mon, 01 Jan 0001 00:00:00 +0000

Health Checks and Node Repair

Mon, 01 Jan 0001 00:00:00 +0000

Proactively validate GPU node health and trigger repair actions for issues

Helicone

Mon, 01 Jan 0001 00:00:00 +0000

Hello World! Explore Language AI with Cohere

Mon, 01 Jan 0001 00:00:00 +0000

This page contains a breakdown of some of what can be achieved with Cohere’s LLM platform.

Help Us Improve The Cohere Docs

Mon, 01 Jan 0001 00:00:00 +0000

Contribute to our docs content, stored in the cohere-developer-experience repo; we welcome your pull requests!

Hierarchical Process

Mon, 01 Jan 0001 00:00:00 +0000

A comprehensive guide to understanding and applying the hierarchical process within your CrewAI projects, updated to reflect the latest coding practices and functionalities.

HITL Workflows

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to implement Human-In-The-Loop workflows in CrewAI for enhanced decision-making

Hooks

Mon, 01 Jan 0001 00:00:00 +0000

Hooks function similarly to middleware in web frameworks, giving you interception points at key stages of the agent’s lifecycle such as before and after tool calls, at the start and end of turns, and during error handling. This is where you implement cross-cutting concerns like logging, metrics, guardrails, and input/output validation without cluttering your core agent logic. A common pitfall is adding too much latency in hook functions, especially in before-tool hooks, which compounds across multi-step agent runs. Read this after you are comfortable with the basic agent loop and custom tools, as hooks are most useful once you understand what you need to observe or control.

Hooks

Mon, 01 Jan 0001 00:00:00 +0000

Hooks

Mon, 01 Jan 0001 00:00:00 +0000

Hooks reference

Mon, 01 Jan 0001 00:00:00 +0000

Reference for Claude Code hook events, configuration schema, JSON input/output formats, exit codes, async hooks, prompt hooks, and MCP tool hooks.

Host Your Agent

Mon, 01 Jan 0001 00:00:00 +0000

Deploy agents to Azure Functions, custom hosts, or local environments.

Hosting

Mon, 01 Jan 0001 00:00:00 +0000

This guide covers the infrastructure considerations for running agents in production, including containerization, scaling, and managing long-running agent sessions. A key challenge with hosting agents compared to traditional APIs is that agent runs can take tens of seconds or even minutes due to multi-step tool use, which affects timeout configuration, connection pooling, and load balancer settings. Focus on the recommendations for stateless vs. stateful deployments, as this choice impacts how you handle conversation persistence and recovery from failures. Read this after the secure deployment guide, since security constraints will inform your hosting architecture decisions.

How Claude Code works

Mon, 01 Jan 0001 00:00:00 +0000

Understand the agentic loop, built-in tools, and how Claude Code interacts with your project.

How do Structured Outputs Work?

Mon, 01 Jan 0001 00:00:00 +0000

Get Cohere models to produce structured outputs in JSON or tool-call format using response_format and JSON Schema constraints.

How Does Cohere's Pricing Work?

Mon, 01 Jan 0001 00:00:00 +0000

This page details Cohere’s pricing model. Our models can be accessed directly through our API, allowing for the creation of scalable production workloads.

How to add custom lifespan events

Mon, 01 Jan 0001 00:00:00 +0000

How to add custom middleware

Mon, 01 Jan 0001 00:00:00 +0000

How to add custom routes

Mon, 01 Jan 0001 00:00:00 +0000

How to add evaluators to an existing experiment (Python only)

Mon, 01 Jan 0001 00:00:00 +0000

How to add semantic search to your agent deployment

Mon, 01 Jan 0001 00:00:00 +0000

How to add TTLs to your application

Mon, 01 Jan 0001 00:00:00 +0000

How to audit evaluator scores

Mon, 01 Jan 0001 00:00:00 +0000

How to Authenticate When Publishing to the Official MCP Registry

Mon, 01 Jan 0001 00:00:00 +0000

Authentication is the first barrier you will hit when trying to publish an MCP server to the official registry, and getting it wrong means silent failures with unhelpful error messages. Focus on how GitHub-based identity verification works and the relationship between your GitHub account and registry publishing permissions. If you are building CI/CD pipelines for MCP server releases, read this before the GitHub Actions guide so you understand the credential flow that automation depends on.

How to Automate Publishing with GitHub Actions

Mon, 01 Jan 0001 00:00:00 +0000

Automating MCP server publishing through GitHub Actions eliminates manual release steps and ensures every tagged release reaches the registry consistently. The guide walks through workflow file configuration, secret management for registry credentials, and trigger conditions for version-based publishing. A common pitfall is misconfiguring the authentication token scope, which produces permissions errors that surface only at publish time rather than during the workflow setup. Read the authentication guide first to understand the credential requirements before wiring up the action.

How to build a Lovable clone with Kimi K2

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to build a full-stack Next.js app that can generate React apps with a single prompt.

How to build a real-time image generator with Flux and Together AI

Mon, 01 Jan 0001 00:00:00 +0000

How to build an AI audio transcription app with Whisper

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to build a real-time AI audio transcription app with Whisper, Next.js, and Together AI.

How To Build An AI Search Engine (OSS Perplexity Clone)

Mon, 01 Jan 0001 00:00:00 +0000

How to build an AI search engine inspired by Perplexity with Next.js and Together AI

How To Build An Interactive AI Tutor With Llama 3.1

Mon, 01 Jan 0001 00:00:00 +0000

Learn we built LlamaTutor from scratch – an open source AI tutor with 90k users.

How To Build An Open Source NotebookLM: PDF To Podcast

Mon, 01 Jan 0001 00:00:00 +0000

In this guide we will see how to create a podcast like the one below from a PDF input!

How to Build Coding Agents

Mon, 01 Jan 0001 00:00:00 +0000

How to build your own simple code editing agent from scratch in 400 lines of code!

How to cancel a run

Mon, 01 Jan 0001 00:00:00 +0000

Cancel a single run or multiple runs via the API, and choose between interrupt and rollback actions.

How to collect user feedback for Agent Server runs

Mon, 01 Jan 0001 00:00:00 +0000

How to compare experiment results

Mon, 01 Jan 0001 00:00:00 +0000

How to create a composite evaluator

Mon, 01 Jan 0001 00:00:00 +0000

How to create a composite evaluator

Mon, 01 Jan 0001 00:00:00 +0000

How to create and manage datasets programmatically

Mon, 01 Jan 0001 00:00:00 +0000

How to customize the Dockerfile

Mon, 01 Jan 0001 00:00:00 +0000

How to define a code evaluator

Mon, 01 Jan 0001 00:00:00 +0000

How to define a code evaluator

Mon, 01 Jan 0001 00:00:00 +0000

How to define a summary evaluator

Mon, 01 Jan 0001 00:00:00 +0000

How to define a target function to evaluate

Mon, 01 Jan 0001 00:00:00 +0000

How to define an LLM-as-a-judge evaluator

Mon, 01 Jan 0001 00:00:00 +0000

How to define an LLM-as-a-judge evaluator

Mon, 01 Jan 0001 00:00:00 +0000

LLM-as-judge is the workhorse evaluator for open-ended outputs where exact-match scoring is impossible, so this page becomes essential the moment you move past trivial test cases. Pay close attention to how you define the judge prompt and scoring schema — vague rubrics produce noisy, irreproducible scores, the most common pitfall here. This is conceptually the same technique RAGAS and OpenAI’s agent evals implement, but LangSmith binds the judge directly to traced runs. Read the evaluation quickstart first to understand datasets and runs.

How to evaluate a graph

Mon, 01 Jan 0001 00:00:00 +0000

How to evaluate a runnable

Mon, 01 Jan 0001 00:00:00 +0000

How to evaluate an application's intermediate steps

Mon, 01 Jan 0001 00:00:00 +0000

How to evaluate an LLM application

Mon, 01 Jan 0001 00:00:00 +0000

How to evaluate with OpenTelemetry

Mon, 01 Jan 0001 00:00:00 +0000

How to evaluate with repetitions

Mon, 01 Jan 0001 00:00:00 +0000

How to evaluate your agent with trajectory evaluations

Mon, 01 Jan 0001 00:00:00 +0000

How to fetch performance metrics for an experiment

Mon, 01 Jan 0001 00:00:00 +0000

How to filter experiments in the UI

Mon, 01 Jan 0001 00:00:00 +0000

How to Get Predictable Outputs with Cohere Models

Mon, 01 Jan 0001 00:00:00 +0000

Strategies for decoding text, and the parameters that impact the randomness and predictability of a language model’s output.

How to handle model rate limits

Mon, 01 Jan 0001 00:00:00 +0000

How To Implement Contextual RAG From Anthropic

Mon, 01 Jan 0001 00:00:00 +0000

An open source line-by-line implementation and explanation of Contextual RAG from Anthropic!

How to implement generative user interfaces with LangGraph

Mon, 01 Jan 0001 00:00:00 +0000

How To Improve Search With Rerankers

Mon, 01 Jan 0001 00:00:00 +0000

Learn how you can improve semantic search quality with reranker models!

How to improve your evaluator with few-shot examples

Mon, 01 Jan 0001 00:00:00 +0000

How to interact with a deployment using RemoteGraph

Mon, 01 Jan 0001 00:00:00 +0000

How to kick off background runs

Mon, 01 Jan 0001 00:00:00 +0000

How to read experiment results locally

Mon, 01 Jan 0001 00:00:00 +0000

How to retry failed runs in experiments (Python only)

Mon, 01 Jan 0001 00:00:00 +0000

How to return categorical vs numerical metrics

Mon, 01 Jan 0001 00:00:00 +0000

How to return multiple scores in one evaluator

Mon, 01 Jan 0001 00:00:00 +0000

How to run a pairwise evaluation

Mon, 01 Jan 0001 00:00:00 +0000

How to run an evaluation asynchronously

Mon, 01 Jan 0001 00:00:00 +0000

How to run an evaluation locally (Python only)

Mon, 01 Jan 0001 00:00:00 +0000

How to run evaluations with pytest

Mon, 01 Jan 0001 00:00:00 +0000

How to run evaluations with Vitest/Jest

Mon, 01 Jan 0001 00:00:00 +0000

How to run multiple agents on the same thread

Mon, 01 Jan 0001 00:00:00 +0000

How to run nanochat on Instant Clusters⚡️

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to train Andrej Karpathy’s end-to-end ChatGPT clone on Together’s on-demand GPU clusters

How to set up a JavaScript application

Mon, 01 Jan 0001 00:00:00 +0000

How to set up an application with pyproject.toml

Mon, 01 Jan 0001 00:00:00 +0000

How to set up an application with requirements.txt

Mon, 01 Jan 0001 00:00:00 +0000

How to simulate multi-turn interactions

Mon, 01 Jan 0001 00:00:00 +0000

How to Start with the Cohere Toolkit

Mon, 01 Jan 0001 00:00:00 +0000

Build and deploy RAG applications quickly with the Cohere Toolkit, which offers pre-built front-end and back-end components.

How to sync prompts with GitHub

Mon, 01 Jan 0001 00:00:00 +0000

How to upload experiments run outside of LangSmith with the REST API

Mon, 01 Jan 0001 00:00:00 +0000

How to use a custom checkpointer

Mon, 01 Jan 0001 00:00:00 +0000

Replace the built-in Postgres checkpointer with a custom BaseCheckpointSaver implementation in your agent deployment.

How to use a custom store

Mon, 01 Jan 0001 00:00:00 +0000

Replace the built-in Postgres store with a custom BaseStore implementation in your agent deployment.

How to use Cline with DeepSeek V3 to build faster

Mon, 01 Jan 0001 00:00:00 +0000

Use Cline (an AI coding agent) with DeepSeek V3 (a powerful open source model) to code faster.

How to use OpenCode with Together AI to build faster

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to combine OpenCode, a powerful terminal-based AI coding agent, with Together AI models like DeepSeek V3 to supercharge your development workflow.

How to use prebuilt evaluators

Mon, 01 Jan 0001 00:00:00 +0000

How to use Qwen Code with Together AI for enhanced development workflow

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to configure Qwen Code, a powerful AI-powered command-line workflow tool, with Together AI models to supercharge your coding workflow with advanced code understanding and automation.

How to use Serverless SFT

Mon, 01 Jan 0001 00:00:00 +0000

How to use Studio

Mon, 01 Jan 0001 00:00:00 +0000

How to use the REST API

Mon, 01 Jan 0001 00:00:00 +0000

How to work with Support

Mon, 01 Jan 0001 00:00:00 +0000

How Tool Use Works

Mon, 01 Jan 0001 00:00:00 +0000

HTTP Request Retries

Mon, 01 Jan 0001 00:00:00 +0000

HttpAgent

Mon, 01 Jan 0001 00:00:00 +0000

HTTP-based agent for connecting to remote AI agents

HubSpot Integration

Mon, 01 Jan 0001 00:00:00 +0000

Manage companies and contacts in HubSpot with CrewAI.

HubSpot Trigger

Mon, 01 Jan 0001 00:00:00 +0000

Trigger CrewAI crews directly from HubSpot Workflows

Hugging Face

Mon, 01 Jan 0001 00:00:00 +0000

Hugging Face

Mon, 01 Jan 0001 00:00:00 +0000

Hugging Face

Mon, 01 Jan 0001 00:00:00 +0000

Hugging Face Accelerate

Mon, 01 Jan 0001 00:00:00 +0000

Training and inference at scale made simple, efficient and adaptable

Hugging Face Diffusers

Mon, 01 Jan 0001 00:00:00 +0000

Hugging Face Hub

Mon, 01 Jan 0001 00:00:00 +0000

Integrate Hugging Face Hub with W&B Weave to track and analyze your machine learning applications

Hugging Face Inference Endpoints

Mon, 01 Jan 0001 00:00:00 +0000

Using Hugging Face Inference Endpoints and Pinecone to generate and index high-quality vector embeddings

Hugging Face Server

Mon, 01 Jan 0001 00:00:00 +0000

Hugging Face Simple Transformers

Mon, 01 Jan 0001 00:00:00 +0000

How to integrate W&B with the Transformers library by Hugging Face.

Hugging Face Transformers

Mon, 01 Jan 0001 00:00:00 +0000

HuggingFace Dataset Evaluations

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use huggingface dataset evaluations with W&B Weave

Human Feedback in Flows

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to integrate human feedback directly into your CrewAI Flows using the @human_feedback decorator

Human input

Mon, 01 Jan 0001 00:00:00 +0000

Human Input on Execution

Mon, 01 Jan 0001 00:00:00 +0000

Integrating CrewAI with human input during execution in complex decision-making processes and leveraging the full capabilities of the agent’s attributes and tools.

Human-in-the-loop

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to configure human approval for sensitive tool operations

Human-in-the-loop

Mon, 01 Jan 0001 00:00:00 +0000

Human-in-the-loop

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to configure human approval for sensitive tool operations

Human-in-the-loop

Mon, 01 Jan 0001 00:00:00 +0000

Human-in-the-Loop

Mon, 01 Jan 0001 00:00:00 +0000

Add approval workflows with interrupt-based human review

Human-in-the-Loop

Mon, 01 Jan 0001 00:00:00 +0000

Add approval workflows with interrupt-based human review

Human-in-the-Loop (HITL) Workflows

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to implement Human-in-the-Loop workflows in CrewAI for enhanced decision-making

Human-in-the-loop using server API

Mon, 01 Jan 0001 00:00:00 +0000

Hybrid

Mon, 01 Jan 0001 00:00:00 +0000

Hybrid search

Mon, 01 Jan 0001 00:00:00 +0000

Combine semantic and lexical search for better results.

Hybrid Search with RRF

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to combine multiple ranking strategies using Reciprocal Rank Fusion (RRF). RRF is ideal for hybrid search scenarios where you want to merge results from different ranking methods (e.g., dense and sparse embeddings).

Hydra

Mon, 01 Jan 0001 00:00:00 +0000

How to integrate W&B with Hydra.

Hyperbrowser Load Tool

Mon, 01 Jan 0001 00:00:00 +0000

The ‘HyperbrowserLoadTool’ enables web scraping and crawling using Hyperbrowser.

IA3

Mon, 01 Jan 0001 00:00:00 +0000

IA3

Mon, 01 Jan 0001 00:00:00 +0000

IBM watsonx.ai

Mon, 01 Jan 0001 00:00:00 +0000

Mistral AI’s Large model on IBM watsonx.ai: SaaS & on-premise deployment with setup, API access, and usage guides

Identity and access management (IAM)

Mon, 01 Jan 0001 00:00:00 +0000

Image generation

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to generate or edit images with the OpenAI API and image generation models.

Image generation

Mon, 01 Jan 0001 00:00:00 +0000

Generate and edit images using DALL-E and GPT-4o’s built-in image generation capabilities as tools within the Responses API.

Image Generation

Mon, 01 Jan 0001 00:00:00 +0000

Built-in tool for agents to generate images on demand with detailed output handling and download options

Image Generation

Mon, 01 Jan 0001 00:00:00 +0000

Generate high-quality images from text + image prompts.

Image Generation Prompt iteration

Mon, 01 Jan 0001 00:00:00 +0000

Image Generation with DALL-E

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use DALL-E for AI-powered image generation in your CrewAI projects

Image Generation with Flux2

Mon, 01 Jan 0001 00:00:00 +0000

Deploy a Flux2 image generation model on Together’s managed GPU infrastructure using Dedicated Containers.

Image, Audio, Video & Document Input

Mon, 01 Jan 0001 00:00:00 +0000

Images and vision

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to understand or generate images with the OpenAI API.

Implement a CI/CD pipeline using LangSmith Deployment and Evaluation

Mon, 01 Jan 0001 00:00:00 +0000

Implement a LangChain integration

Mon, 01 Jan 0001 00:00:00 +0000

Implement a LangChain integration

Mon, 01 Jan 0001 00:00:00 +0000

Implement distributed tracing

Mon, 01 Jan 0001 00:00:00 +0000

Implement multitenancy

Mon, 01 Jan 0001 00:00:00 +0000

Use namespaces to isolate tenant data securely.

Import and export data

Mon, 01 Jan 0001 00:00:00 +0000

Import data from MLFlow, export or update data that you have saved to W&B

Import exported data

Mon, 01 Jan 0001 00:00:00 +0000

Import LangSmith bulk-exported Parquet data into BigQuery, Snowflake, Redshift, Clickhouse, or DuckDB.

Import From Csv

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use import from csv with W&B Weave

Import records

Mon, 01 Jan 0001 00:00:00 +0000

Import large datasets efficiently from S3, GCS, or Azure into Pinecone indexes.

Improve LLM-as-judge evaluators using human feedback

Mon, 01 Jan 0001 00:00:00 +0000

Improve RAG

Mon, 01 Jan 0001 00:00:00 +0000

Improvement

Mon, 01 Jan 0001 00:00:00 +0000

Improvement

Mon, 01 Jan 0001 00:00:00 +0000

Improvement

Mon, 01 Jan 0001 00:00:00 +0000

Include HTTP headers in server logs

Mon, 01 Jan 0001 00:00:00 +0000

Include multimodal content in a prompt

Mon, 01 Jan 0001 00:00:00 +0000

Increase Consistency

Mon, 01 Jan 0001 00:00:00 +0000

Output consistency matters most when Claude powers automated pipelines where downstream code parses its responses. This guide covers techniques like temperature reduction, few-shot examples, structured output formats, and explicit schemas that make Claude’s responses more deterministic. The single biggest lever is providing concrete output examples in your prompt – this anchors the model’s formatting far more reliably than verbal instructions alone. Read this before building any system that pipes Claude output into JSON parsers, database inserts, or multi-step agent workflows.

Increase search relevance

Mon, 01 Jan 0001 00:00:00 +0000

Learn techniques to improve search result quality.

Increase throughput

Mon, 01 Jan 0001 00:00:00 +0000

Learn techniques to improve data operation performance and query throughput.

Incremental Snapshots (ARC2)

Mon, 01 Jan 0001 00:00:00 +0000

Build ARC2 incremental checkpoints, use per-file hints, and signal delta hot-loads for BYOT RL rollout integrations.

Index Configuration Reference

Mon, 01 Jan 0001 00:00:00 +0000

Comprehensive reference for all index types and their configuration parameters.

Index creation error - missing spec parameter

Mon, 01 Jan 0001 00:00:00 +0000

Indexing overview

Mon, 01 Jan 0001 00:00:00 +0000

Understand key concepts related to indexing data in Pinecone.

Inference Error Codes

Mon, 01 Jan 0001 00:00:00 +0000

Common error codes, their meanings, and resolutions for inference requests

Inference FAQs

Mon, 01 Jan 0001 00:00:00 +0000

Inference for RL Rollouts

Mon, 01 Jan 0001 00:00:00 +0000

Session affinity, weight-swap behavior, and MoE Router Replay for rollout traffic on Fireworks inference deployments.

Inference Rate Limits

Mon, 01 Jan 0001 00:00:00 +0000

Rate limits restrict how often a user or client can access our API within a set timeframe.

Initialize a sweep

Mon, 01 Jan 0001 00:00:00 +0000

Initialize a W&B Sweep

Initialize runs

Mon, 01 Jan 0001 00:00:00 +0000

Install LangChain

Mon, 01 Jan 0001 00:00:00 +0000

Install LangChain

Mon, 01 Jan 0001 00:00:00 +0000

Install LangGraph

Mon, 01 Jan 0001 00:00:00 +0000

Install LangGraph

Mon, 01 Jan 0001 00:00:00 +0000

Installation

Mon, 01 Jan 0001 00:00:00 +0000

A guide for installing the Cohere SDK, supported in 4 different languages – Python, TypeScript, Java, and Go.

Installation

Mon, 01 Jan 0001 00:00:00 +0000

Get started with CrewAI - Install, configure, and build your first AI crew

Installation

Mon, 01 Jan 0001 00:00:00 +0000

Installation instructions

Installation

Mon, 01 Jan 0001 00:00:00 +0000

Installation

Mon, 01 Jan 0001 00:00:00 +0000

Installation

Mon, 01 Jan 0001 00:00:00 +0000

Installation

Mon, 01 Jan 0001 00:00:00 +0000

Installing the CLI

Mon, 01 Jan 0001 00:00:00 +0000

Install the Chroma CLI to run a local server, browse collections, and interact with Chroma Cloud.

Instill AI

Mon, 01 Jan 0001 00:00:00 +0000

Instructor

Mon, 01 Jan 0001 00:00:00 +0000

Instructor

Mon, 01 Jan 0001 00:00:00 +0000

Trace and evaluate structured data extraction from LLMs with Weave’s Instructor integration, capturing Pydantic model validation, retry logic, and JSON schema enforcement for reliable structured output workflows.

Integrate Slack with an agent

Mon, 01 Jan 0001 00:00:00 +0000

Connect the LangSmith Agent Builder to your Slack workspace to let your agents communicate with users in Slack.

Integrate Slack with an agent

Mon, 01 Jan 0001 00:00:00 +0000

Connect LangSmith Fleet to your Slack workspace to let your agents communicate with users in Slack.

Integrate Teams with an agent

Mon, 01 Jan 0001 00:00:00 +0000

Connect LangSmith Fleet to Microsoft Teams by bringing your own Azure Bot to let agents communicate with users in Teams.

Integrate with Amazon S3

Mon, 01 Jan 0001 00:00:00 +0000

Set up Amazon S3 integrationfor data import and audit logs.

Integrate with Azure Blob Storage

Mon, 01 Jan 0001 00:00:00 +0000

Set up Azure Blob Storage integration for data import.

Integrate with Google Cloud Storage

Mon, 01 Jan 0001 00:00:00 +0000

Integrate Google Cloud Storage for bulk data import

Integrating Embedding Models with Other Tools

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to integrate Cohere embeddings with open-source vector search engines for enhanced applications.

Integration ecosystem

Mon, 01 Jan 0001 00:00:00 +0000

Integration testing

Mon, 01 Jan 0001 00:00:00 +0000

Test agents with real LLM APIs by organizing tests, managing keys, handling flakiness, and controlling costs.

Integration testing

Mon, 01 Jan 0001 00:00:00 +0000

Test agents with real LLM APIs by organizing tests, managing keys, handling flakiness, and controlling costs.

Integrations

Mon, 01 Jan 0001 00:00:00 +0000

Integrations

Mon, 01 Jan 0001 00:00:00 +0000

Integrations

Mon, 01 Jan 0001 00:00:00 +0000

Integrations

Mon, 01 Jan 0001 00:00:00 +0000

Integrations

Mon, 01 Jan 0001 00:00:00 +0000

Integrations

Mon, 01 Jan 0001 00:00:00 +0000

Pinecone integrations enable you to build and deploy AI applications faster and more efficiently. Integrate Pinecone with your favorite frameworks, data sources, and infrastructure providers.

Integrations

Mon, 01 Jan 0001 00:00:00 +0000

Integrations

Mon, 01 Jan 0001 00:00:00 +0000

Use Together AI models through partner integrations.

Integrations and observability

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to integrate MCP into Agents SDK workflows and how to trace and debug runs.

Interact with your self-hosted instance of LangSmith

Mon, 01 Jan 0001 00:00:00 +0000

Interactive mode

Mon, 01 Jan 0001 00:00:00 +0000

Complete reference for keyboard shortcuts, input modes, and interactive features in Claude Code sessions.

Interrupt concurrent

Mon, 01 Jan 0001 00:00:00 +0000

Interrupt-Aware Run Lifecycle

Mon, 01 Jan 0001 00:00:00 +0000

Native support for human-in-the-loop pauses and interrupts

Interrupts

Mon, 01 Jan 0001 00:00:00 +0000

Interrupts

Mon, 01 Jan 0001 00:00:00 +0000

Intro to Retrieval

Mon, 01 Jan 0001 00:00:00 +0000

Ground LLMs in your own data using retrieval-augmented generation.

Introduction

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to get started building an AG-UI integration

Introduction

Mon, 01 Jan 0001 00:00:00 +0000

Chroma is an open-source search engine for AI. It comes with everything you need to get started built-in.

Introduction

Mon, 01 Jan 0001 00:00:00 +0000

Build AI agent teams that work together to tackle complex tasks

Introduction

Mon, 01 Jan 0001 00:00:00 +0000

Introduction

Mon, 01 Jan 0001 00:00:00 +0000

Introduction

Mon, 01 Jan 0001 00:00:00 +0000

Introduction

Mon, 01 Jan 0001 00:00:00 +0000

Introduction

Mon, 01 Jan 0001 00:00:00 +0000

Fireworks Training API — custom training loops with full Python control over objectives, while Fireworks handles distributed GPU infrastructure.

Introduction

Mon, 01 Jan 0001 00:00:00 +0000

Introduction

Mon, 01 Jan 0001 00:00:00 +0000

Deploy custom containers on Together’s managed GPU infrastructure with automatic scaling, job queues, and built-in observability.

Introduction Comparisons

Mon, 01 Jan 0001 00:00:00 +0000

Introduction Design Philosophy

Mon, 01 Jan 0001 00:00:00 +0000

Introduction to A2A

Mon, 01 Jan 0001 00:00:00 +0000

Introduction to Aya Vision

Mon, 01 Jan 0001 00:00:00 +0000

In this notebook, we will explore the capabilities of Aya Vision, which can take text and image inputs to generates text responses.

Introduction to Cohere on Azure AI Foundry

Mon, 01 Jan 0001 00:00:00 +0000

An introduction to Cohere on Azure AI Foundry, a fully managed service by Azure (API v2).

Introduction to Conversational Context: Session, State, and Memory

Mon, 01 Jan 0001 00:00:00 +0000

Introduction to Embeddings at Cohere

Mon, 01 Jan 0001 00:00:00 +0000

Embeddings transform text into numerical data, enabling language-agnostic similarity searches and efficient storage with compression.

Introduction to Evaluations

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use introduction to evaluations with W&B Weave

Introduction to Text Generation at Cohere

Mon, 01 Jan 0001 00:00:00 +0000

This page describes how a large language model generates textual output.

Introduction to Traces

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use introduction to traces with W&B Weave

Ip Addresses

Mon, 01 Jan 0001 00:00:00 +0000

IP egress ranges

Mon, 01 Jan 0001 00:00:00 +0000

Find the published IP egress ranges used by OpenAI products.

Iterate and Improve Prompts

Mon, 01 Jan 0001 00:00:00 +0000

Iterative Workflow

Mon, 01 Jan 0001 00:00:00 +0000

Iteratively call LLMs to optimize task performance.

Japanese documentation

Mon, 01 Jan 0001 00:00:00 +0000

Localized overview and quickstart for Japanese-speaking developers.

Java

Mon, 01 Jan 0001 00:00:00 +0000

Java

Mon, 01 Jan 0001 00:00:00 +0000

Java

Mon, 01 Jan 0001 00:00:00 +0000

Java

Mon, 01 Jan 0001 00:00:00 +0000

JetBrains IDEs

Mon, 01 Jan 0001 00:00:00 +0000

Use Claude Code with JetBrains IDEs including IntelliJ, PyCharm, WebStorm, and more

Jig CLI

Mon, 01 Jan 0001 00:00:00 +0000

Build, push, and deploy containers to Together’s managed GPU infrastructure.

Jina AI

Mon, 01 Jan 0001 00:00:00 +0000

Jina AI

Mon, 01 Jan 0001 00:00:00 +0000

Jira Integration

Mon, 01 Jan 0001 00:00:00 +0000

Issue tracking and project management with Jira integration for CrewAI.

Join & rejoin streams

Mon, 01 Jan 0001 00:00:00 +0000

Disconnect from and reconnect to running agent streams

Join & rejoin streams

Mon, 01 Jan 0001 00:00:00 +0000

Disconnect from and reconnect to running agent streams

Join Run

Mon, 01 Jan 0001 00:00:00 +0000

Wait for a run to finish.

Join Run Stream

Mon, 01 Jan 0001 00:00:00 +0000

Join a run stream. This endpoint streams output in real-time from a run similar to the /threads/THREAD_ID/runs/stream endpoint. If the run has been created with ‘stream_resumable=true’, the stream can be resumed from the last seen event ID.

Join Thread Stream

Mon, 01 Jan 0001 00:00:00 +0000

This endpoint streams output in real-time from a thread. The stream will include the output of each run executed sequentially on the thread and will remain open indefinitely. It is the responsibility of the calling client to close the connection.

Joins & Reducers

Mon, 01 Jan 0001 00:00:00 +0000

Json Mode

Mon, 01 Jan 0001 00:00:00 +0000

JSON mode

Mon, 01 Jan 0001 00:00:00 +0000

Enable JSON mode by setting response_format to type json_object in API requests

JSON RAG Search

Mon, 01 Jan 0001 00:00:00 +0000

The ‘JSONSearchTool’ is designed to search JSON files and return the most relevant results.

Judge Alignment Quickstart

Mon, 01 Jan 0001 00:00:00 +0000

Keep customer data separate in Pinecone

Mon, 01 Jan 0001 00:00:00 +0000

Keras

Mon, 01 Jan 0001 00:00:00 +0000

Kernels Hub Integration and Usage

Mon, 01 Jan 0001 00:00:00 +0000

Key Changes

Mon, 01 Jan 0001 00:00:00 +0000

Key concepts

Mon, 01 Jan 0001 00:00:00 +0000

Key concepts to understand when working with the OpenAI API.

Keyboard shortcuts

Mon, 01 Jan 0001 00:00:00 +0000

Learn about the keyboard shortcuts available in W&B.

Kickoff Crew

Mon, 01 Jan 0001 00:00:00 +0000

Kickoff a Crew on CrewAI AMP

Kickoff Crew Asynchronously

Mon, 01 Jan 0001 00:00:00 +0000

Kickoff a Crew Asynchronously

Kickoff Crew for Each

Mon, 01 Jan 0001 00:00:00 +0000

Kickoff Crew for Each Item in a List

Kimi K2 family

Mon, 01 Jan 0001 00:00:00 +0000

Using Kimi K2 family models in agentic and tool-calling workflows on Fireworks.

Kimi K2 QuickStart

Mon, 01 Jan 0001 00:00:00 +0000

How to get the most out of models like Kimi K2.

Kimi K2 Thinking QuickStart

Mon, 01 Jan 0001 00:00:00 +0000

How to get the most out of reasoning models like Kimi K2 Thinking.

Kimi K2.5 Quickstart

Mon, 01 Jan 0001 00:00:00 +0000

How to get the most out of Kimi’s new K2.5 model.

Knowledge

Mon, 01 Jan 0001 00:00:00 +0000

What is knowledge in CrewAI and how to use it.

Koog

Mon, 01 Jan 0001 00:00:00 +0000

Trace Kotlin-based Koog agents with Weave’s built-in OpenTelemetry support, capturing single-run and complex workflow executions, tool calls, prompts, and completions for full observability of your Kotlin AI applications.

KTO Trainer

Mon, 01 Jan 0001 00:00:00 +0000

Kv Cache

Mon, 01 Jan 0001 00:00:00 +0000

La Plateforme

Mon, 01 Jan 0001 00:00:00 +0000

Mistral AI’s La Plateforme offers pay-as-you-go API access to its latest models with flexible deployment options

Langchain

Mon, 01 Jan 0001 00:00:00 +0000

Langchain

Mon, 01 Jan 0001 00:00:00 +0000

LangChain

Mon, 01 Jan 0001 00:00:00 +0000

Using LangChain and Pinecone to add knowledge to LLMs

LangChain

Mon, 01 Jan 0001 00:00:00 +0000

LangChain

Mon, 01 Jan 0001 00:00:00 +0000

Use Weave to track and log all calls made through the LangChain Python library

LangChain Academy

Mon, 01 Jan 0001 00:00:00 +0000

LangChain Academy

Mon, 01 Jan 0001 00:00:00 +0000

LangChain overview

Mon, 01 Jan 0001 00:00:00 +0000

LangChain is an open source framework with a pre-built agent architecture and integrations for any model or tool — so you can build agents that adapt as fast as the ecosystem evolves

LangChain overview

Mon, 01 Jan 0001 00:00:00 +0000

LangChain is an open source framework with a pre-built agent architecture and integrations for any model or tool — so you can build agents that adapt as fast as the ecosystem evolves

LangChain SDK

Mon, 01 Jan 0001 00:00:00 +0000

LangChain SDK

Mon, 01 Jan 0001 00:00:00 +0000

LangChain Tool

Mon, 01 Jan 0001 00:00:00 +0000

The ‘LangChainTool’ is a wrapper for LangChain tools and query engines.

LangChain v1 migration guide

Mon, 01 Jan 0001 00:00:00 +0000

LangChain v1 migration guide

Mon, 01 Jan 0001 00:00:00 +0000

LangDB Integration

Mon, 01 Jan 0001 00:00:00 +0000

Govern, secure, and optimize your CrewAI workflows with LangDB AI Gateway—access 350+ models, automatic routing, cost optimization, and full observability.

Langfuse

Mon, 01 Jan 0001 00:00:00 +0000

Langfuse Integration

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to integrate Langfuse with CrewAI via OpenTelemetry using OpenLit

LangGraph

Mon, 01 Jan 0001 00:00:00 +0000

LangGraph

Mon, 01 Jan 0001 00:00:00 +0000

Using LangGraph with Together AI

LangGraph CLI

Mon, 01 Jan 0001 00:00:00 +0000

LangGraph JS/TS SDK

Mon, 01 Jan 0001 00:00:00 +0000

LangGraph overview

Mon, 01 Jan 0001 00:00:00 +0000

Gain control with LangGraph to design agents that reliably handle complex tasks

LangGraph overview

Mon, 01 Jan 0001 00:00:00 +0000

Gain control with LangGraph to design agents that reliably handle complex tasks

LangGraph Python SDK

Mon, 01 Jan 0001 00:00:00 +0000

LangGraph runtime

Mon, 01 Jan 0001 00:00:00 +0000

LangGraph runtime

Mon, 01 Jan 0001 00:00:00 +0000

LangGraph SDK

Mon, 01 Jan 0001 00:00:00 +0000

LangGraph SDK

Mon, 01 Jan 0001 00:00:00 +0000

LangGraph v1 migration guide

Mon, 01 Jan 0001 00:00:00 +0000

LangGraph v1 migration guide

Mon, 01 Jan 0001 00:00:00 +0000

Langsmith

Mon, 01 Jan 0001 00:00:00 +0000

LangSmith

Mon, 01 Jan 0001 00:00:00 +0000

LangSmith Agent Builder

Mon, 01 Jan 0001 00:00:00 +0000

Create helpful AI agents without code. Start from a template, connect your accounts, and let the agent handle routine work while you stay in control.

LangSmith API reference

Mon, 01 Jan 0001 00:00:00 +0000

LangSmith CLI

Mon, 01 Jan 0001 00:00:00 +0000

Query and manage LangSmith projects, traces, runs, datasets, evaluators, experiments, and threads from the terminal

LangSmith control plane

Mon, 01 Jan 0001 00:00:00 +0000

LangSmith data plane

Mon, 01 Jan 0001 00:00:00 +0000

LangSmith Deployment

Mon, 01 Jan 0001 00:00:00 +0000

Deploy and manage agents with durable execution, real-time streaming, and horizontal scaling.

LangSmith Deployment

Mon, 01 Jan 0001 00:00:00 +0000

Deploy and manage agents with durable execution, real-time streaming, and horizontal scaling.

LangSmith Deployment

Mon, 01 Jan 0001 00:00:00 +0000

LangSmith Deployment

Mon, 01 Jan 0001 00:00:00 +0000

LangSmith Deployment

Mon, 01 Jan 0001 00:00:00 +0000

LangSmith Deployment

Mon, 01 Jan 0001 00:00:00 +0000

LangGraph deployment through LangSmith provides managed infrastructure for hosting graph-based agents with built-in tracing, monitoring, and versioning. This guide covers the deployment pipeline from local development to hosted execution, including environment configuration and API endpoint setup. A key consideration is that deploying to LangSmith introduces a vendor dependency that affects your architecture, so evaluate the tracing and observability benefits against the portability tradeoffs before committing. If you need self-hosted deployment or want to compare alternatives, review this alongside general containerization approaches for Python applications.

LangSmith Deployment components

Mon, 01 Jan 0001 00:00:00 +0000

LangSmith Deployment SDK

Mon, 01 Jan 0001 00:00:00 +0000

LangSmith docs

Mon, 01 Jan 0001 00:00:00 +0000

LangSmith Evaluation

Mon, 01 Jan 0001 00:00:00 +0000

LangSmith Fetch

Mon, 01 Jan 0001 00:00:00 +0000

LangSmith Fleet

Mon, 01 Jan 0001 00:00:00 +0000

Create helpful AI agents without code. Start from a template, connect your accounts, and let the agent handle routine work while you stay in control.

LangSmith for Enterprise

Mon, 01 Jan 0001 00:00:00 +0000

Deployment options, access control, data privacy, cost controls, and security compliance for Enterprise users.

LangSmith Go SDK

Mon, 01 Jan 0001 00:00:00 +0000

LangSmith Java SDK

Mon, 01 Jan 0001 00:00:00 +0000

LangSmith JS/TS SDK

Mon, 01 Jan 0001 00:00:00 +0000

LangSmith MCP Server

Mon, 01 Jan 0001 00:00:00 +0000

Use the Model Context Protocol (MCP) server to let language models fetch conversation history, prompts, runs, datasets, experiments, and billing from LangSmith.

LangSmith Observability

Mon, 01 Jan 0001 00:00:00 +0000

LangSmith Observability

Mon, 01 Jan 0001 00:00:00 +0000

LangSmith Observability

Mon, 01 Jan 0001 00:00:00 +0000

LangSmith Observability

Mon, 01 Jan 0001 00:00:00 +0000

LangSmith Observability

Mon, 01 Jan 0001 00:00:00 +0000

LangSmith Polly

Mon, 01 Jan 0001 00:00:00 +0000

LangSmith Polly

Mon, 01 Jan 0001 00:00:00 +0000

LangSmith Polly

Mon, 01 Jan 0001 00:00:00 +0000

LangSmith Polly

Mon, 01 Jan 0001 00:00:00 +0000

LangSmith Python SDK

Mon, 01 Jan 0001 00:00:00 +0000

LangSmith reference

Mon, 01 Jan 0001 00:00:00 +0000

LangSmith shared responsibility model

Mon, 01 Jan 0001 00:00:00 +0000

Overview of how LangChain and customers share security responsibilities for the LangSmith platform.

LangSmith skills

Mon, 01 Jan 0001 00:00:00 +0000

Use Agent Skills to work with LangSmith traces, datasets, and evaluators from your coding agent.

LangSmith status

Mon, 01 Jan 0001 00:00:00 +0000

LangSmith Studio

Mon, 01 Jan 0001 00:00:00 +0000

LangSmith Studio

Mon, 01 Jan 0001 00:00:00 +0000

LangSmith Studio

Mon, 01 Jan 0001 00:00:00 +0000

LangSmith Studio

Mon, 01 Jan 0001 00:00:00 +0000

LangSmith Studio

Mon, 01 Jan 0001 00:00:00 +0000

LangSmith Tool Server

Mon, 01 Jan 0001 00:00:00 +0000

LangSmith Tool Server

Mon, 01 Jan 0001 00:00:00 +0000

LangSmith-managed ClickHouse

Mon, 01 Jan 0001 00:00:00 +0000

Langtrace

Mon, 01 Jan 0001 00:00:00 +0000

Langtrace Integration

Mon, 01 Jan 0001 00:00:00 +0000

How to monitor cost, latency, and performance of CrewAI Agents using Langtrace, an external observability tool.

Language Models

Mon, 01 Jan 0001 00:00:00 +0000

Latency optimization

Mon, 01 Jan 0001 00:00:00 +0000

Improve latency across a wide variety of LLM-related use cases.

Leaderboard Quickstart

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use leaderboard quickstart with W&B Weave

Learn

Mon, 01 Jan 0001 00:00:00 +0000

Tutorials, conceptual guides, and resources to help you get started.

Learn

Mon, 01 Jan 0001 00:00:00 +0000

Tutorials, conceptual guides, and resources to help you get started.

Learn How Cohere's Rerank Models Work

Mon, 01 Jan 0001 00:00:00 +0000

This page contains a basic tutorial on how Cohere’s ReRank models work and how to use them.

Learn more about sweeps

Mon, 01 Jan 0001 00:00:00 +0000

Collection of useful sources for Sweeps.

Learn Weave with W&B Inference

Mon, 01 Jan 0001 00:00:00 +0000

Learning DSPy

Mon, 01 Jan 0001 00:00:00 +0000

Three stages of building AI systems - programming, evaluation, and optimization

Ledger & Debugging for RL Rollouts

Mon, 01 Jan 0001 00:00:00 +0000

Inspect snapshot history, reset the ledger, and understand how in-flight requests behave during a weight swap.

Legal and compliance

Mon, 01 Jan 0001 00:00:00 +0000

Legal agreements, compliance certifications, and security information for Claude Code.

Legal Summarization

Mon, 01 Jan 0001 00:00:00 +0000

Using Claude to extract key information from legal documents and generate structured summaries.

Let Claude use your computer from the CLI

Mon, 01 Jan 0001 00:00:00 +0000

Enable computer use in the Claude Code CLI so Claude can open apps, click, type, and see your screen on macOS. Test native apps, debug visual issues, and automate GUI-only tools without leaving your terminal.

Lexical search

Mon, 01 Jan 0001 00:00:00 +0000

Perform keyword-based search on sparse indexes

Library

Mon, 01 Jan 0001 00:00:00 +0000

Anthropic’s prompt library is one of the fastest ways to internalize effective prompting patterns for Claude. Rather than reading it cover-to-cover, focus on prompts in your domain and study the structural techniques they use – XML tags for delineation, role-setting in the system prompt, and explicit output format instructions. Pay attention to how each example balances specificity with flexibility; overly rigid prompts tend to break when inputs vary. These curated examples also serve as a useful baseline when benchmarking your own prompts against known-good patterns.

Lifecycle

Mon, 01 Jan 0001 00:00:00 +0000

The lifecycle specification defines the three phases every MCP connection goes through: initialization, operation, and shutdown. Focus especially on the initialization handshake where client and server exchange capabilities – getting this wrong is the most common source of connection failures. Note that the protocol version negotiation happens here too, so mismatched versions between client and server will fail fast at this stage rather than producing mysterious errors later.

Liger Kernel Integration

Mon, 01 Jan 0001 00:00:00 +0000

Limitations of querying by ID

Mon, 01 Jan 0001 00:00:00 +0000

Limits and expected behaviors

Mon, 01 Jan 0001 00:00:00 +0000

A list of Weave’s limitations, known issues, and expected behaviors

Line plot reference

Mon, 01 Jan 0001 00:00:00 +0000

Lineage graphs and audit history

Mon, 01 Jan 0001 00:00:00 +0000

Use lineage graphs to visualize a linked artifact’s history and audit a collection’s history.

Linear Integration

Mon, 01 Jan 0001 00:00:00 +0000

Software project and bug tracking with Linear integration for CrewAI.

Link a W&B run to trace function calls

Mon, 01 Jan 0001 00:00:00 +0000

Associate Weave traces with W&B runs for experiment tracking

Link an artifact version to a collection

Mon, 01 Jan 0001 00:00:00 +0000

Linkup Search Tool

Mon, 01 Jan 0001 00:00:00 +0000

The ‘LinkupSearchTool’ enables querying the Linkup API for contextual information.

List invocations

Mon, 01 Jan 0001 00:00:00 +0000

Lists invocations for a source or database.

List Model Checkpoints

Mon, 01 Jan 0001 00:00:00 +0000

List Models

Mon, 01 Jan 0001 00:00:00 +0000

List Models

Mon, 01 Jan 0001 00:00:00 +0000

Get all available models and their IDs

List namespaces with optional match conditions.

Mon, 01 Jan 0001 00:00:00 +0000

List of available metrics

Mon, 01 Jan 0001 00:00:00 +0000

List record IDs

Mon, 01 Jan 0001 00:00:00 +0000

List the IDS of records in an index namespace.

List Runs

Mon, 01 Jan 0001 00:00:00 +0000

List runs for a thread.

List sources

Mon, 01 Jan 0001 00:00:00 +0000

Lists sources owned by a tenant.

Lists and Arrays

Mon, 01 Jan 0001 00:00:00 +0000

LiteLLM

Mon, 01 Jan 0001 00:00:00 +0000

LiteLLM

Mon, 01 Jan 0001 00:00:00 +0000

LiteLLM

Mon, 01 Jan 0001 00:00:00 +0000

Automatically track and log LLM calls made via LiteLLM

LiteLLM integration

Mon, 01 Jan 0001 00:00:00 +0000

Configure LiteLLM as a provider to fan out across multiple model backends.

LiteRT-LM

Mon, 01 Jan 0001 00:00:00 +0000

Llama 4 Quickstart

Mon, 01 Jan 0001 00:00:00 +0000

How to get the most out of the new Llama 4 models.

llama-cpp-python

Mon, 01 Jan 0001 00:00:00 +0000

LlamaIndex

Mon, 01 Jan 0001 00:00:00 +0000

LlamaIndex

Mon, 01 Jan 0001 00:00:00 +0000

Using LlamaIndex and Pinecone to build semantic search and RAG applications

LlamaIndex

Mon, 01 Jan 0001 00:00:00 +0000

LlamaIndex

Mon, 01 Jan 0001 00:00:00 +0000

Automatically trace and debug LlamaIndex applications with Weave, capturing all LLM calls, RAG pipelines, agent steps, and evaluations for comprehensive observability of your data-connected AI workflows.

LlamaIndex Agent Evaluation Quickstart

Mon, 01 Jan 0001 00:00:00 +0000

LlamaIndex Agents

Mon, 01 Jan 0001 00:00:00 +0000

LlamaIndex and Cohere's Models

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use Cohere and LlamaIndex together to generate responses based on data.

LlamaIndex Tool

Mon, 01 Jan 0001 00:00:00 +0000

The ‘LlamaIndexTool’ is a wrapper for LlamaIndex tools and query engines.

LlamaStack

Mon, 01 Jan 0001 00:00:00 +0000

LLM agents

Mon, 01 Jan 0001 00:00:00 +0000

LLM Benchmarking Quickstart

Mon, 01 Jan 0001 00:00:00 +0000

LLM Call Hooks

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use LLM call hooks to intercept, modify, and control language model interactions in CrewAI

LLM Evaluations

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to run LLM-as-a-Judge evaluations

LLM gateway configuration

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to configure Claude Code to work with LLM gateway solutions. Covers gateway requirements, authentication configuration, model selection, and provider-specific endpoint setup.

LLM Judge

Mon, 01 Jan 0001 00:00:00 +0000

LLMs

Mon, 01 Jan 0001 00:00:00 +0000

A comprehensive guide to configuring and using Large Language Models (LLMs) in your CrewAI projects

Local development & testing

Mon, 01 Jan 0001 00:00:00 +0000

Local development with Pinecone Local

Mon, 01 Jan 0001 00:00:00 +0000

Develop locally with an in-memory Pinecone emulator.

Local shell

Mon, 01 Jan 0001 00:00:00 +0000

Enable agents to run commands in a local shell.

Log

Mon, 01 Jan 0001 00:00:00 +0000

Log trajectories and calculate metrics.

Log distributed training experiments

Mon, 01 Jan 0001 00:00:00 +0000

Use W&B to log distributed training experiments with multiple GPUs.

Log evaluation data from your code

Mon, 01 Jan 0001 00:00:00 +0000

Flexible, incremental way to log evaluation data from Python and TypeScript code

Log LLM calls

Mon, 01 Jan 0001 00:00:00 +0000

Log media

Mon, 01 Jan 0001 00:00:00 +0000

Log media returned in your traces, such as images and videos.

Log media and objects

Mon, 01 Jan 0001 00:00:00 +0000

Log rich media, from 3D point clouds and molecules to HTML and histograms

Log models

Mon, 01 Jan 0001 00:00:00 +0000

Log multimodal traces

Mon, 01 Jan 0001 00:00:00 +0000

Log retriever traces

Mon, 01 Jan 0001 00:00:00 +0000

Log summary metrics

Mon, 01 Jan 0001 00:00:00 +0000

Log tables

Mon, 01 Jan 0001 00:00:00 +0000

Log tables

Mon, 01 Jan 0001 00:00:00 +0000

Log tables with W&B.

Log traces to a specific project

Mon, 01 Jan 0001 00:00:00 +0000

Log user feedback using the SDK

Mon, 01 Jan 0001 00:00:00 +0000

Logfire Integration

Mon, 01 Jan 0001 00:00:00 +0000

Logging

Mon, 01 Jan 0001 00:00:00 +0000

Logging

Mon, 01 Jan 0001 00:00:00 +0000

Logging

Mon, 01 Jan 0001 00:00:00 +0000

Login

Mon, 01 Jan 0001 00:00:00 +0000

Authenticate with Chroma Cloud using the CLI.

Login code issues

Mon, 01 Jan 0001 00:00:00 +0000

Long-Form Text Strategies with Cohere

Mon, 01 Jan 0001 00:00:00 +0000

This discusses ways of getting Cohere’s LLM platform to perform well in generating long-form text.

Long-term memory

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to extend deep agents with persistent memory across threads

Long-term memory

Mon, 01 Jan 0001 00:00:00 +0000

Long-term memory

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to extend deep agents with persistent memory across threads

Long-term memory

Mon, 01 Jan 0001 00:00:00 +0000

Look at Your Data

Mon, 01 Jan 0001 00:00:00 +0000

Design your collection schema and chunking strategy based on your data.

Loop agents

Mon, 01 Jan 0001 00:00:00 +0000

LoRA

Mon, 01 Jan 0001 00:00:00 +0000

LoRA is the workhorse PEFT method, and this guide is where you move past the basics into the options that actually affect results: initialization, rank, target modules, and merging. Pay close attention to weight initialization, since PEFT defaults to an identity transform and the init_lora_weights=False option exists only for debugging and must never be used in real training. A common mistake is targeting the wrong modules or setting rank without regard to the task, which wastes the method’s efficiency. Read the PEFT overview first if LoRA as a concept is new; this is the practical follow-up.

LoRA Fine-Tuning and Inference

Mon, 01 Jan 0001 00:00:00 +0000

Fine-tune and run inference for a model with LoRA adapters

LoRA methods

Mon, 01 Jan 0001 00:00:00 +0000

LoRA Without Regret

Mon, 01 Jan 0001 00:00:00 +0000

Loss Functions

Mon, 01 Jan 0001 00:00:00 +0000

Built-in loss functions and custom objectives via forward_backward_custom.

Make conversations private

Mon, 01 Jan 0001 00:00:00 +0000

Manage a trace

Mon, 01 Jan 0001 00:00:00 +0000

Compare traces side-by-side, share traces publicly, and view server logs from the trace view in LangSmith.

Manage access control for projects

Mon, 01 Jan 0001 00:00:00 +0000

Manage project access using visibility scopes and project-level roles

Manage Agent Builder

Mon, 01 Jan 0001 00:00:00 +0000

Manage agent settings

Mon, 01 Jan 0001 00:00:00 +0000

Manage your agents in Agent Builder.

Manage agent settings

Mon, 01 Jan 0001 00:00:00 +0000

Manage your agents in Fleet.

Manage algorithms locally

Mon, 01 Jan 0001 00:00:00 +0000

Search and stop algorithms locally instead of using the W&B cloud-hosted service.

Manage API keys

Mon, 01 Jan 0001 00:00:00 +0000

Create and manage API keys with custom permissions.

Manage API keys

Mon, 01 Jan 0001 00:00:00 +0000

Create and manage API keys with custom permissions.

Manage artifact data retention

Mon, 01 Jan 0001 00:00:00 +0000

Time to live policies (TTL)

Manage artifact storage and memory allocation

Mon, 01 Jan 0001 00:00:00 +0000

Manage storage, memory allocation of W&B Artifacts.

Manage assistants

Mon, 01 Jan 0001 00:00:00 +0000

Manage assistants

Mon, 01 Jan 0001 00:00:00 +0000

View, update, and delete, and check the status of assistants.

Manage billing in your account

Mon, 01 Jan 0001 00:00:00 +0000

Manage billing settings

Mon, 01 Jan 0001 00:00:00 +0000

Manage your organization’s billing settings

Manage bucket storage and costs

Mon, 01 Jan 0001 00:00:00 +0000

Understand how W&B uses object storage, how deletion maps to bucket bytes, and how to reduce usage on self-managed, Dedicated Cloud, and bring-your-own-bucket deployments.

Manage bulk export destinations

Mon, 01 Jan 0001 00:00:00 +0000

Configure and manage S3-compatible export destinations for LangSmith bulk exports.

Manage Claude's memory

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to manage Claude Code’s memory across sessions with different memory locations and best practices.

Manage Collections

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to create, get, modify, and delete Chroma collections.

Manage cost

Mon, 01 Jan 0001 00:00:00 +0000

Learn strategies for managing cost in Pinecone.

Manage costs effectively

Mon, 01 Jan 0001 00:00:00 +0000

Track token usage, set team spend limits, and reduce Claude Code costs with context management, model selection, extended thinking settings, and preprocessing hooks.

Manage datasets

Mon, 01 Jan 0001 00:00:00 +0000

Manage email settings

Mon, 01 Jan 0001 00:00:00 +0000

Manage emails from the Settings page.

Manage feedback & annotation queues programmatically

Mon, 01 Jan 0001 00:00:00 +0000

Manage files

Mon, 01 Jan 0001 00:00:00 +0000

List, check status, and delete files from your assistant.

Manage Fleet

Mon, 01 Jan 0001 00:00:00 +0000

Manage model configurations

Mon, 01 Jan 0001 00:00:00 +0000

Manage model configurations and control their availability across LangSmith features.

Manage namespaces

Mon, 01 Jan 0001 00:00:00 +0000

Create and manage namespaces in serverless indexes.

Manage organization members

Mon, 01 Jan 0001 00:00:00 +0000

Invite and control organization member access levels.

Manage organization members

Mon, 01 Jan 0001 00:00:00 +0000

Add and manage organization members and roles.

Manage permissions in the OpenAI platform

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use role-based access control to assign permissions, create custom roles, group users, and scope access across both the OpenAI API and dashboard.

Manage pod-based indexes

Mon, 01 Jan 0001 00:00:00 +0000

List, describe, and configure pod-based indexes

Manage project members

Mon, 01 Jan 0001 00:00:00 +0000

Add and manage team members in your project.

Manage project members

Mon, 01 Jan 0001 00:00:00 +0000

Add and manage project members with role-based access control.

Manage projects

Mon, 01 Jan 0001 00:00:00 +0000

View, rename, and delete projects in your organization.

Manage projects

Mon, 01 Jan 0001 00:00:00 +0000

View, rename, and delete projects in your organization.

Manage prompts

Mon, 01 Jan 0001 00:00:00 +0000

Manage prompts programmatically

Mon, 01 Jan 0001 00:00:00 +0000

Manage secrets

Mon, 01 Jan 0001 00:00:00 +0000

Overview of W&B secrets, how they work, and how to get started using them.

Manage serverless indexes

Mon, 01 Jan 0001 00:00:00 +0000

List, describe, and configure serverless indexes.

Manage service accounts at the organization-level

Mon, 01 Jan 0001 00:00:00 +0000

Create service accounts for organization-level API access.

Manage service accounts at the organization-level

Mon, 01 Jan 0001 00:00:00 +0000

Create service accounts for organization-level API access.

Manage service accounts at the project-level

Mon, 01 Jan 0001 00:00:00 +0000

Enable programmatic access with project-level service accounts.

Manage service accounts at the project-level

Mon, 01 Jan 0001 00:00:00 +0000

Enable service accounts for programmatic API access.

Manage storage

Mon, 01 Jan 0001 00:00:00 +0000

Ways to manage W&B data storage.

Manage storage integrations

Mon, 01 Jan 0001 00:00:00 +0000

Update and manage cloud storage integrations.

Manage sweeps

Mon, 01 Jan 0001 00:00:00 +0000

Pause, resume, and cancel a W&B Sweep with the CLI.

Manage Tool Context

Mon, 01 Jan 0001 00:00:00 +0000

Manage user access in SSO organizations

Mon, 01 Jan 0001 00:00:00 +0000

Manage user settings

Mon, 01 Jan 0001 00:00:00 +0000

Manage your profile information, account defaults, alerts, participation in beta products, GitHub integration, storage usage, account activation, and create teams in your user settings.

Manage users, groups, and roles with SCIM

Mon, 01 Jan 0001 00:00:00 +0000

Manage Weave Projects

Mon, 01 Jan 0001 00:00:00 +0000

Use Weave projects to organize related assets like traces, prompts, evaluations, models, and dashboards.

Manage workspace, section, and panel settings

Mon, 01 Jan 0001 00:00:00 +0000

Manage your organization

Mon, 01 Jan 0001 00:00:00 +0000

Manage your organization using the API

Mon, 01 Jan 0001 00:00:00 +0000

Managed Fine-Tuning Overview

Mon, 01 Jan 0001 00:00:00 +0000

Fine-tune models with Fireworks-managed infrastructure — no custom code required.

Managing Conversation History

Mon, 01 Jan 0001 00:00:00 +0000

Managing costs

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to monitor and optimize your costs when using the Realtime API.

Map columns in datasets

Mon, 01 Jan 0001 00:00:00 +0000

Map columns in datasets to different names. This helps you align the column names in your dataset with the column names expected by the scorer.

Markdown messages

Mon, 01 Jan 0001 00:00:00 +0000

Render LLM responses as rich, formatted markdown with proper streaming support

Markdown messages

Mon, 01 Jan 0001 00:00:00 +0000

Render LLM responses as rich, formatted markdown with proper streaming support

Markdown Page

Mon, 01 Jan 0001 00:00:00 +0000

Marketplace

Mon, 01 Jan 0001 00:00:00 +0000

Discover, install, and govern reusable assets for your enterprise crews.

Master Reranking with Cohere Models

Mon, 01 Jan 0001 00:00:00 +0000

This page contains a tutorial on using Cohere’s ReRank models.

Mastering Flow State Management

Mon, 01 Jan 0001 00:00:00 +0000

A comprehensive guide to managing, persisting, and leveraging state in CrewAI Flows for building robust AI applications.

Math Reasoning

Mon, 01 Jan 0001 00:00:00 +0000

Matillion

Mon, 01 Jan 0001 00:00:00 +0000

Maxim Integration

Mon, 01 Jan 0001 00:00:00 +0000

Start Agent monitoring, evaluation, and observability

Mcp

Mon, 01 Jan 0001 00:00:00 +0000

MCP integration is what makes the Agent SDK extensible beyond its built-in capabilities, letting your agents connect to any MCP-compatible tool server including databases, APIs, file systems, and custom services. Focus on how the SDK discovers and registers MCP tools at agent initialization, since this determines what capabilities your agent advertises during the agentic loop. A key gotcha is that MCP server connection lifecycle must be managed carefully – servers that fail to start will silently remove tools from your agent’s available set. If you are already familiar with MCP from the protocol specification, this guide shows the practical integration points within the SDK’s agent framework.

MCP

Mon, 01 Jan 0001 00:00:00 +0000

MCP

Mon, 01 Jan 0001 00:00:00 +0000

MCP is an open standard protocol for seamless AI model integration with data sources and tools

MCP Apps

Mon, 01 Jan 0001 00:00:00 +0000

Interactive UI applications that render inside MCP hosts like Claude Desktop

Mcp Connector

Mon, 01 Jan 0001 00:00:00 +0000

The MCP Connector is the primary mechanism for giving Claude direct access to external tools and data sources through the Model Context Protocol within API calls. Focus on how connector configuration differs from local MCP server setup — the connector handles transport, authentication, and tool discovery on Anthropic’s infrastructure rather than your own. A common pitfall is neglecting to scope tool permissions tightly, which can lead to unexpected token consumption when Claude explores available tools. Read this alongside the remote MCP servers guide to understand the full picture of hosted versus self-managed MCP integrations.

MCP DSL Integration

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use CrewAI’s simple DSL syntax to integrate MCP servers directly with your agents using the mcps field.

MCP endpoint in Agent Server

Mon, 01 Jan 0001 00:00:00 +0000

MCP Get

Mon, 01 Jan 0001 00:00:00 +0000

Implemented according to the Streamable HTTP Transport specification.

MCP Inspector

Mon, 01 Jan 0001 00:00:00 +0000

In-depth guide to using the MCP Inspector for testing and debugging Model Context Protocol servers

MCP Post

Mon, 01 Jan 0001 00:00:00 +0000

Implemented according to the Streamable HTTP Transport specification.

MCP Registry Aggregators

Mon, 01 Jan 0001 00:00:00 +0000

MCP Registry Supported Package Types

Mon, 01 Jan 0001 00:00:00 +0000

The MCP registry supports multiple package types and choosing the wrong one constrains how clients can discover and install your server. Understanding the distinction between npm packages, Docker images, and other supported formats is critical before you publish, because changing package type after initial publication creates migration headaches for existing consumers. Focus on the compatibility matrix between package types and host applications, since not every MCP client supports every format equally well.

MCP Security Considerations

Mon, 01 Jan 0001 00:00:00 +0000

Learn about important security best practices when integrating MCP servers with your CrewAI agents.

MCP Servers as Tools in CrewAI

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to integrate MCP servers as tools in your CrewAI agents using the crewai-tools library.

MCP tools

Mon, 01 Jan 0001 00:00:00 +0000

MCP Tools

Mon, 01 Jan 0001 00:00:00 +0000

Load additional tools from MCP (Model Context Protocol) servers

MCP, A2A, and AG-UI

Mon, 01 Jan 0001 00:00:00 +0000

Understanding how AG-UI complements and works with MCP and A2A

MDX RAG Search

Mon, 01 Jan 0001 00:00:00 +0000

The ‘MDXSearchTool’ is designed to search MDX files and return the most relevant results.

Media panels

Mon, 01 Jan 0001 00:00:00 +0000

Meeting minutes

Mon, 01 Jan 0001 00:00:00 +0000

Create an automated meeting minutes generator with Whisper and GPT-4.

Mem0

Mon, 01 Jan 0001 00:00:00 +0000

Memory

Mon, 01 Jan 0001 00:00:00 +0000

Leveraging the unified memory system in CrewAI to enhance agent capabilities.

Memory

Mon, 01 Jan 0001 00:00:00 +0000

Memory

Mon, 01 Jan 0001 00:00:00 +0000

Add persistent memory to agents built with Deep Agents so they learn and improve across conversations

Memory

Mon, 01 Jan 0001 00:00:00 +0000

Memory

Mon, 01 Jan 0001 00:00:00 +0000

Add persistent memory to agents built with Deep Agents so they learn and improve across conversations

Memory

Mon, 01 Jan 0001 00:00:00 +0000

Memory in LangGraph goes beyond simple conversation history to include persistent state checkpoints that survive across graph executions, which is essential for building agents that maintain context across sessions. Focus on the distinction between short-term message memory and long-term checkpoint-based state, as choosing the wrong persistence strategy leads to either excessive token consumption or lost context. The checkpointer abstraction is the key integration point, and you should understand how it interacts with graph state before selecting a storage backend. This guide pairs well with the streaming guide, since memory and streaming together determine how your agent behaves in real-time interactive scenarios.

Memory overview

Mon, 01 Jan 0001 00:00:00 +0000

Memory overview

Mon, 01 Jan 0001 00:00:00 +0000

Memory Tool

Mon, 01 Jan 0001 00:00:00 +0000

The memory tool allows Claude to persist information across conversation sessions, enabling agents to maintain user preferences, project context, and learned patterns over time. This bridges the gap between stateless API calls and the continuity users expect from long-running assistant relationships. Focus on understanding what gets stored and how retrieval works, since overloading memory with low-value data degrades relevance of future recalls. Design your memory strategy around high-signal items like user corrections and workflow preferences rather than attempting to memorize entire conversation histories.

Memory-Enabled ReAct Agents

Mon, 01 Jan 0001 00:00:00 +0000

Merge Agent Handler Tool

Mon, 01 Jan 0001 00:00:00 +0000

Enables CrewAI agents to securely access third-party integrations like Linear, GitHub, Slack, and more through Merge’s Agent Handler platform

Message queues

Mon, 01 Jan 0001 00:00:00 +0000

Queue multiple messages and manage them while the agent processes sequentially

Message queues

Mon, 01 Jan 0001 00:00:00 +0000

Queue multiple messages and manage them while the agent processes sequentially

Messages

Mon, 01 Jan 0001 00:00:00 +0000

Understanding message structure and communication in AG-UI

Messages

Mon, 01 Jan 0001 00:00:00 +0000

Messages

Mon, 01 Jan 0001 00:00:00 +0000

Messages

Mon, 01 Jan 0001 00:00:00 +0000

Messages and chat history

Mon, 01 Jan 0001 00:00:00 +0000

Meta Events

Mon, 01 Jan 0001 00:00:00 +0000

Annotations and signals independent of agent runs

Metadata Filtering

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to filter query results by metadata in Chroma collections.

Metadata parameters reference

Mon, 01 Jan 0001 00:00:00 +0000

Metadata Parsing

Mon, 01 Jan 0001 00:00:00 +0000

Metrics

Mon, 01 Jan 0001 00:00:00 +0000

In DSPy a metric is the objective function that drives both evaluation and optimization, so this page matters more than a typical reference — your metric definition directly shapes how teleprompters compile and improve a program. Pay close attention to the difference between simple answer-matching metrics and metrics that themselves call an LM to judge quality, since the latter adds cost and variance you have to control. A common pitfall is returning a bare boolean where an optimizer expects a float score. Read the evaluation overview first, then pair this with the optimizers documentation.

Metrics

Mon, 01 Jan 0001 00:00:00 +0000

Metrics & Attributes

Mon, 01 Jan 0001 00:00:00 +0000

Metrics Answer Relevancy

Mon, 01 Jan 0001 00:00:00 +0000

Metrics Arena G Eval

Mon, 01 Jan 0001 00:00:00 +0000

Metrics Argument Correctness

Mon, 01 Jan 0001 00:00:00 +0000

Metrics Bias

Mon, 01 Jan 0001 00:00:00 +0000

Metrics Contextual Precision

Mon, 01 Jan 0001 00:00:00 +0000

Metrics Contextual Recall

Mon, 01 Jan 0001 00:00:00 +0000

Metrics Contextual Relevancy

Mon, 01 Jan 0001 00:00:00 +0000

Metrics Conversation Completeness

Mon, 01 Jan 0001 00:00:00 +0000

Metrics Conversational Dag

Mon, 01 Jan 0001 00:00:00 +0000

Metrics Conversational G Eval

Mon, 01 Jan 0001 00:00:00 +0000

Metrics Custom

Mon, 01 Jan 0001 00:00:00 +0000

Metrics Dag

Mon, 01 Jan 0001 00:00:00 +0000

Metrics Exact Match

Mon, 01 Jan 0001 00:00:00 +0000

Metrics Faithfulness

Mon, 01 Jan 0001 00:00:00 +0000

Metrics Goal Accuracy

Mon, 01 Jan 0001 00:00:00 +0000

Metrics Hallucination

Mon, 01 Jan 0001 00:00:00 +0000

Metrics Introduction

Mon, 01 Jan 0001 00:00:00 +0000

This page introduces DeepEval’s fifty-plus metrics, each scored from 0 to 1 with reasoning, and it matters because choosing the right metrics is the whole game in LLM evaluation. The key discipline the docs push is restraint: use no more than about five metrics, roughly two or three generic plus one or two custom to your use case, so you prioritize what truly matters instead of drowning in numbers. Because the metrics are LLM-as-a-judge, expect real cost and some run-to-run variance. This parallels RAGAS’s metric suite; read getting-started first if you have not run an evaluation yet.

Metrics Json Correctness

Mon, 01 Jan 0001 00:00:00 +0000

Metrics Knowledge Retention

Mon, 01 Jan 0001 00:00:00 +0000

Metrics Llm Evals

Mon, 01 Jan 0001 00:00:00 +0000

Metrics Mcp Task Completion

Mon, 01 Jan 0001 00:00:00 +0000

Metrics Mcp Use

Mon, 01 Jan 0001 00:00:00 +0000

Metrics Misuse

Mon, 01 Jan 0001 00:00:00 +0000

Metrics Multi Turn Mcp Use

Mon, 01 Jan 0001 00:00:00 +0000

Metrics Non Advice

Mon, 01 Jan 0001 00:00:00 +0000

Metrics Pattern Match

Mon, 01 Jan 0001 00:00:00 +0000

Metrics Pii Leakage

Mon, 01 Jan 0001 00:00:00 +0000

Metrics Plan Adherence

Mon, 01 Jan 0001 00:00:00 +0000

Metrics Plan Quality

Mon, 01 Jan 0001 00:00:00 +0000

Metrics Prompt Alignment

Mon, 01 Jan 0001 00:00:00 +0000

Metrics Ragas

Mon, 01 Jan 0001 00:00:00 +0000

Metrics Role Adherence

Mon, 01 Jan 0001 00:00:00 +0000

Metrics Role Violation

Mon, 01 Jan 0001 00:00:00 +0000

Metrics Step Efficiency

Mon, 01 Jan 0001 00:00:00 +0000

Metrics Summarization

Mon, 01 Jan 0001 00:00:00 +0000

Metrics Task Completion

Mon, 01 Jan 0001 00:00:00 +0000

Metrics Tool Correctness

Mon, 01 Jan 0001 00:00:00 +0000

Metrics Tool Use

Mon, 01 Jan 0001 00:00:00 +0000

Metrics Topic Adherence

Mon, 01 Jan 0001 00:00:00 +0000

Metrics Toxicity

Mon, 01 Jan 0001 00:00:00 +0000

Metrics Turn Contextual Precision

Mon, 01 Jan 0001 00:00:00 +0000

Metrics Turn Contextual Recall

Mon, 01 Jan 0001 00:00:00 +0000

Metrics Turn Contextual Relevancy

Mon, 01 Jan 0001 00:00:00 +0000

Metrics Turn Faithfulness

Mon, 01 Jan 0001 00:00:00 +0000

Metrics Turn Relevancy

Mon, 01 Jan 0001 00:00:00 +0000

Microsoft Azure

Mon, 01 Jan 0001 00:00:00 +0000

Integrate Weave with Microsoft Azure OpenAI services

Microsoft Excel Integration

Mon, 01 Jan 0001 00:00:00 +0000

Workbook and data management with Microsoft Excel integration for CrewAI.

Microsoft Foundry

Mon, 01 Jan 0001 00:00:00 +0000

Deploy frontier open models inside your Azure subscription, billed through Azure.

Microsoft Marketplace

Mon, 01 Jan 0001 00:00:00 +0000

Microsoft OneDrive Integration

Mon, 01 Jan 0001 00:00:00 +0000

File and folder management with Microsoft OneDrive integration for CrewAI.

Microsoft Outlook Integration

Mon, 01 Jan 0001 00:00:00 +0000

Email, calendar, and contact management with Microsoft Outlook integration for CrewAI.

Microsoft SharePoint Integration

Mon, 01 Jan 0001 00:00:00 +0000

Site, list, and document management with Microsoft SharePoint integration for CrewAI.

Microsoft Teams Integration

Mon, 01 Jan 0001 00:00:00 +0000

Team collaboration and communication with Microsoft Teams integration for CrewAI.

Microsoft Teams Trigger

Mon, 01 Jan 0001 00:00:00 +0000

Kick off crews from Microsoft Teams chat activity

Microsoft Word Integration

Mon, 01 Jan 0001 00:00:00 +0000

Document creation and management with Microsoft Word integration for CrewAI.

Middleware

Mon, 01 Jan 0001 00:00:00 +0000

Transform and intercept events in AG-UI agents

Middleware

Mon, 01 Jan 0001 00:00:00 +0000

Connect to existing protocols, in process agents or custom solutions via AG-UI

Middleware

Mon, 01 Jan 0001 00:00:00 +0000

Event stream transformation and filtering for AG-UI agents

Migrate a pod-based index to serverless

Mon, 01 Jan 0001 00:00:00 +0000

Migrate existing pod indexes to cost-effective serverless

Migrate from Agent Builder

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to export an Agent Builder workflow and continue with ChatGPT Workspace Agents or the Agents SDK.

Migrate from prompt objects

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to migrate from reusable prompt objects to versioned prompts in your application code.

Migrate sessions

Mon, 01 Jan 0001 00:00:00 +0000

Migrate to the Responses API

Mon, 01 Jan 0001 00:00:00 +0000

Migrating away from create_csv_agent in langchain-cohere

Mon, 01 Jan 0001 00:00:00 +0000

This page contains a tutorial on how to build a CSV agent without the deprecated create_csv_agent abstraction in langchain-cohere v0.3.5 and beyond.

Migrating From API v1 to API v2

Mon, 01 Jan 0001 00:00:00 +0000

The document serves as a reference for developers looking to update their existing Cohere API v1 implementations to the new v2 standard.

Migrating Monolithic Prompts to Command A with RAG

Mon, 01 Jan 0001 00:00:00 +0000

This page contains a discussion of how to automatically migrating monolothic prompts.

Migration

Mon, 01 Jan 0001 00:00:00 +0000

Migration guides for Chroma version upgrades and schema changes.

Migration from AutoGen

Mon, 01 Jan 0001 00:00:00 +0000

Migration guide from AutoGen to Microsoft Agent Framework: mapping AgentChat concepts, workflow migration, and new enterprise features.

Migration Guide

Mon, 01 Jan 0001 00:00:00 +0000

Model migrations between Claude generations often introduce subtle behavioral changes that break existing prompts, even when the new model is strictly more capable. This guide documents the specific differences you should test for when upgrading, including changes to output formatting, tool-use patterns, and response length tendencies. Focus on the recommended testing strategies before doing a production cutover, since regressions frequently appear in edge cases rather than typical inputs. If you rely heavily on structured output or function calling, test those paths first as schema adherence can shift between model versions.

Migration Guide

Mon, 01 Jan 0001 00:00:00 +0000

This migration guide is critical reading if you have existing agent code built on earlier Anthropic SDK patterns or third-party frameworks and want to move to the official Agent SDK. Focus on the mapping between old abstractions and new ones — particularly how tool definitions, conversation state management, and multi-turn loops translate. A common pitfall is assuming one-to-one correspondence between concepts; the Agent SDK introduces opinionated patterns around agent lifecycle and handoffs that may require rethinking your architecture rather than just swapping imports. Work through the migration incrementally, validating behavior at each step rather than attempting a full rewrite.

Migration Guide

Mon, 01 Jan 0001 00:00:00 +0000

Migrate from legacy ‘query()’ and ‘get()’ to the Search API.

Migration Guide

Mon, 01 Jan 0001 00:00:00 +0000

Migration to Agent Framework

Mon, 01 Jan 0001 00:00:00 +0000

Migration guide from AutoGen to Microsoft Agent Framework: mapping AgentChat concepts to the unified framework.

Milvus and Cohere (Integration Guide)

Mon, 01 Jan 0001 00:00:00 +0000

This page describes integrating Cohere with the Milvus vector database.

MiniLLM Trainer

Mon, 01 Jan 0001 00:00:00 +0000

Minimize latencies

Mon, 01 Jan 0001 00:00:00 +0000

Mirror images for your LangSmith installation

Mon, 01 Jan 0001 00:00:00 +0000

Miscellaneous

Mon, 01 Jan 0001 00:00:00 +0000

Missing

Mon, 01 Jan 0001 00:00:00 +0000

Mistral

Mon, 01 Jan 0001 00:00:00 +0000

Mistral

Mon, 01 Jan 0001 00:00:00 +0000

Mistral

Mon, 01 Jan 0001 00:00:00 +0000

MistralAI

Mon, 01 Jan 0001 00:00:00 +0000

Track and monitor MistralAI model calls with Weave’s automatic tracing, capturing chat completions, function calling, and model interactions for open-weight and commercial Mistral models.

Mitigate Jailbreaks

Mon, 01 Jan 0001 00:00:00 +0000

Jailbreak mitigation is essential for any production deployment where Claude interacts with untrusted user input. This guide covers defense-in-depth strategies including system prompt hardening, input validation, and output filtering. A common pitfall is relying solely on system prompt instructions for safety – attackers routinely bypass single-layer defenses, so layering multiple techniques is critical. Read this alongside the harmlessness screens documentation to understand how Anthropic’s built-in protections complement your application-level guardrails.

Mixed adapter types

Mon, 01 Jan 0001 00:00:00 +0000

MLflow Integration

Mon, 01 Jan 0001 00:00:00 +0000

Quickly start monitoring your Agents with MLflow.

MLOps & Observability

Mon, 01 Jan 0001 00:00:00 +0000

Track and monitor your Fireworks AI deployments with leading MLOps and observability platforms

Mode Migration

Mon, 01 Jan 0001 00:00:00 +0000

Model configuration

Mon, 01 Jan 0001 00:00:00 +0000

Learn about the Claude Code model configuration, including model aliases like opusplan.

Model Context Protocol

Mon, 01 Jan 0001 00:00:00 +0000

Connect MCP servers so agents can request external data or actions through standardized tool APIs.

Model Context Protocol (MCP)

Mon, 01 Jan 0001 00:00:00 +0000

Model Context Protocol (MCP)

Mon, 01 Jan 0001 00:00:00 +0000

Model Context Protocol (MCP)

Mon, 01 Jan 0001 00:00:00 +0000

LangChain’s MCP integration allows you to expose MCP servers as LangChain tools, bridging two of the most important ecosystems in the AI tooling space. This is particularly valuable if you have existing MCP servers and want to use them within LangChain agents or LangGraph workflows without rewriting tool definitions. Focus on how MCP tool schemas map to LangChain’s tool interface and what metadata is preserved or lost in translation. Be aware that MCP’s streaming and sampling capabilities may not map perfectly to LangChain’s tool abstraction, so test complex MCP servers thoroughly after integration.

Model Context Protocol (MCP) and Weave

Mon, 01 Jan 0001 00:00:00 +0000

Trace activity between your MCP client and MCP server with Weave

Model customization

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to customize LLMs for your application with system prompts, fine-tuning, and moderation layers

Model Deprecations

Mon, 01 Jan 0001 00:00:00 +0000

Model Gallery

Mon, 01 Jan 0001 00:00:00 +0000

Pinecone integrations enable you to build and deploy AI applications faster and more efficiently. Integrate Pinecone with your favorite frameworks, data sources, and infrastructure providers.

Model Lifecycle

Mon, 01 Jan 0001 00:00:00 +0000

Learn about W&B Inference model lifecycle and retirement

Model merging

Mon, 01 Jan 0001 00:00:00 +0000

Model optimization

Mon, 01 Jan 0001 00:00:00 +0000

Ensure quality model outputs with evals and fine-tuning in the OpenAI platform.

Model providers

Mon, 01 Jan 0001 00:00:00 +0000

Model selection

Mon, 01 Jan 0001 00:00:00 +0000

Guide to selecting Mistral models based on performance, cost, and use case complexity.’ (99 characters)

Model selection

Mon, 01 Jan 0001 00:00:00 +0000

How to choose the right OpenAI model by balancing accuracy, latency, and cost — the fundamental tradeoff triangle for every AI application.

Model Vault

Mon, 01 Jan 0001 00:00:00 +0000

This document provides a guide for using Cohere’s new Model Vault functionality.

Model weights

Mon, 01 Jan 0001 00:00:00 +0000

Open-source pre-trained and instruction-tuned models with various licenses, download links, and usage guidelines

Models

Mon, 01 Jan 0001 00:00:00 +0000

Models

Mon, 01 Jan 0001 00:00:00 +0000

Models

Mon, 01 Jan 0001 00:00:00 +0000

Models

Mon, 01 Jan 0001 00:00:00 +0000

Models

Mon, 01 Jan 0001 00:00:00 +0000

Models

Mon, 01 Jan 0001 00:00:00 +0000

Models and providers

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to choose models, set defaults, and think about providers and transport in the OpenAI Agents SDK.

Models Benchmarks

Mon, 01 Jan 0001 00:00:00 +0000

Mistral’s benchmarked models excel in reasoning, multilingual tasks, coding, and multimodal capabilities, outperforming competitors in key benchmarks

Models Overview

Mon, 01 Jan 0001 00:00:00 +0000

Mistral offers open and premier models for various tasks, including text, code, audio, and multimodal processing

Moderation

Mon, 01 Jan 0001 00:00:00 +0000

Mistral’s moderation API detects harmful content across multiple categories using AI-powered classification for text and conversations

Moderation

Mon, 01 Jan 0001 00:00:00 +0000

OpenAI’s free moderation endpoint for detecting harmful content across categories like hate, violence, self-harm, and sexual content in both text and images.

Modify Prompts

Mon, 01 Jan 0001 00:00:00 +0000

Modifying System Prompts

Mon, 01 Jan 0001 00:00:00 +0000

System prompt modification in the Agent SDK controls how you customize agent behavior, persona, and constraints without forking the SDK’s default prompt scaffolding. Focus on the merge strategy — the SDK combines your custom instructions with its own internal prompts, and understanding this layering prevents conflicts where your instructions get overridden or diluted. A critical pitfall is inadvertently removing safety-relevant default instructions when overriding the system prompt wholesale rather than appending to it. Start with targeted modifications using the provided extension points before considering full prompt replacement.

Modules

Mon, 01 Jan 0001 00:00:00 +0000

MongoDB and Cohere (Integration Guide)

Mon, 01 Jan 0001 00:00:00 +0000

Build semantic search and RAG systems using Cohere and MongoDB Atlas Vector Search.

MongoDB Vector Search Tool

Mon, 01 Jan 0001 00:00:00 +0000

The ‘MongoDBVectorSearchTool’ performs vector search on MongoDB Atlas with optional indexing helpers.

Monitor and troubleshoot bulk exports

Mon, 01 Jan 0001 00:00:00 +0000

Monitor bulk export status, manage running exports, and troubleshoot failures.

Monitor performance

Mon, 01 Jan 0001 00:00:00 +0000

Monitor performance metrics in the Pinecone console or with Prometheus or Datadog.

Monitor projects with dashboards

Mon, 01 Jan 0001 00:00:00 +0000

Monitor Training

Mon, 01 Jan 0001 00:00:00 +0000

Track RFT job progress and diagnose issues in real-time

Monitor usage and cost

Mon, 01 Jan 0001 00:00:00 +0000

Set monthly spend alerts and monitor usage across your organization.

Monitor usage and costs

Mon, 01 Jan 0001 00:00:00 +0000

Monitor usage and costs for your Pinecone organization and indexes.

Monitoring

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to enable and configure OpenTelemetry for Claude Code.

Monorepo support

Mon, 01 Jan 0001 00:00:00 +0000

Morph

Mon, 01 Jan 0001 00:00:00 +0000

Move a run to a different project or team

Mon, 01 Jan 0001 00:00:00 +0000

Move runs between projects or teams using the W&B App.

Moving from LangGraph to CrewAI: A Practical Guide for Engineers

Mon, 01 Jan 0001 00:00:00 +0000

If you already have built with LangGraph, learn how to quickly port your projects to CrewAI

Multi Agent Structured Output

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use multi agent structured output with W&B Weave

Multi modal faithfulness

Mon, 01 Jan 0001 00:00:00 +0000

Multi modal relevance

Mon, 01 Jan 0001 00:00:00 +0000

Multi Round Chat

Mon, 01 Jan 0001 00:00:00 +0000

Multi-agent

Mon, 01 Jan 0001 00:00:00 +0000

Multi-agent

Mon, 01 Jan 0001 00:00:00 +0000

Multi-agent patterns

Mon, 01 Jan 0001 00:00:00 +0000

Architect teams of agents that collaborate, escalate, or specialize by capability.

Multi-Agent Patterns

Mon, 01 Jan 0001 00:00:00 +0000

Multi-agent systems

Mon, 01 Jan 0001 00:00:00 +0000

Build multi-agent systems in ADK by composing LLM agents and workflow agents into hierarchical teams with shared state and tool delegation.

Multi-Hop RAG

Mon, 01 Jan 0001 00:00:00 +0000

Multi-modal Messages

Mon, 01 Jan 0001 00:00:00 +0000

Support for multimodal input messages including text, images, audio, video, and documents

Multi-Run Evaluation

Mon, 01 Jan 0001 00:00:00 +0000

Multi-Step Tool Use with Cohere

Mon, 01 Jan 0001 00:00:00 +0000

This page describes how to create a multi-step, tool-using AI agent with Cohere’s tool use functionality.

Multi-tenant Cloud

Mon, 01 Jan 0001 00:00:00 +0000

Deploy Multi-tenant Cloud in production

Multi-tool agent

Mon, 01 Jan 0001 00:00:00 +0000

Multi-Turn Conversations

Mon, 01 Jan 0001 00:00:00 +0000

Build agents that maintain conversation context across multiple turns with session-based state management.

Multilingual Search with Cohere and Langchain

Mon, 01 Jan 0001 00:00:00 +0000

This page contains a basic tutorial on how to do search across different languages with Cohere’s LLM platform.

Multilingual Support

Mon, 01 Jan 0001 00:00:00 +0000

Multimodal

Mon, 01 Jan 0001 00:00:00 +0000

Multimodal context for assistants

Mon, 01 Jan 0001 00:00:00 +0000

Process images and charts in PDFs with multimodal assistants.

Multimodal Embeddings

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to work with multimodal data in Chroma collections.

Multimodal Inputs

Mon, 01 Jan 0001 00:00:00 +0000

Use modality-specific user input parts with typed data/url sources in @ag-ui/core

Multimodal Inputs

Mon, 01 Jan 0001 00:00:00 +0000

Use modality-specific user input parts with typed data/url sources in ag_ui.core

Multimodal Metrics Image Coherence

Mon, 01 Jan 0001 00:00:00 +0000

Multimodal Metrics Image Editing

Mon, 01 Jan 0001 00:00:00 +0000

Multimodal Metrics Image Helpfulness

Mon, 01 Jan 0001 00:00:00 +0000

Multimodal Metrics Image Reference

Mon, 01 Jan 0001 00:00:00 +0000

Multimodal Metrics Text To Image

Mon, 01 Jan 0001 00:00:00 +0000

MultiOn Tool

Mon, 01 Jan 0001 00:00:00 +0000

The ‘MultiOnTool’ empowers CrewAI agents with the capability to navigate and interact with the web through natural language instructions.

Multiple API Keys

Mon, 01 Jan 0001 00:00:00 +0000

MySQL RAG Search

Mon, 01 Jan 0001 00:00:00 +0000

The ‘MySQLSearchTool’ is designed to search MySQL databases and return the most relevant results.

n8n

Mon, 01 Jan 0001 00:00:00 +0000

n8n is a workflow automation platform offering technical teams code-level flexibility at no-code speed.

Nash-MD Trainer

Mon, 01 Jan 0001 00:00:00 +0000

Navigate the Weave Trace view

Mon, 01 Jan 0001 00:00:00 +0000

Use Weave’s Trace view to make sense of complex execution paths in your LLM and agentic apps.

Neatlogs Integration

Mon, 01 Jan 0001 00:00:00 +0000

Understand, debug, and share your CrewAI agent runs

NeMo Gym Integration

Mon, 01 Jan 0001 00:00:00 +0000

New Relic

Mon, 01 Jan 0001 00:00:00 +0000

News0725

Mon, 01 Jan 0001 00:00:00 +0000

News0802

Mon, 01 Jan 0001 00:00:00 +0000

News0905

Mon, 01 Jan 0001 00:00:00 +0000

News1120

Mon, 01 Jan 0001 00:00:00 +0000

News1210

Mon, 01 Jan 0001 00:00:00 +0000

News1226

Mon, 01 Jan 0001 00:00:00 +0000

News250115

Mon, 01 Jan 0001 00:00:00 +0000

News250120

Mon, 01 Jan 0001 00:00:00 +0000

News250325

Mon, 01 Jan 0001 00:00:00 +0000

News250528

Mon, 01 Jan 0001 00:00:00 +0000

News250821

Mon, 01 Jan 0001 00:00:00 +0000

News250922

Mon, 01 Jan 0001 00:00:00 +0000

News250929

Mon, 01 Jan 0001 00:00:00 +0000

News251201

Mon, 01 Jan 0001 00:00:00 +0000

Nexla

Mon, 01 Jan 0001 00:00:00 +0000

NL2SQL Tool

Mon, 01 Jan 0001 00:00:00 +0000

The ‘NL2SQLTool’ is designed to convert natural language to SQL queries.

Node reference

Mon, 01 Jan 0001 00:00:00 +0000

Explore all available nodes for composing workflows in Agent Builder.

Node.js Troubleshooting

Mon, 01 Jan 0001 00:00:00 +0000

Noise Sensitivity

Mon, 01 Jan 0001 00:00:00 +0000

Nomic

Mon, 01 Jan 0001 00:00:00 +0000

Non-English Testset Generation

Mon, 01 Jan 0001 00:00:00 +0000

NotDiamond Custom Routing

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use notdiamond custom routing with W&B Weave

Notebooks

Mon, 01 Jan 0001 00:00:00 +0000

Notion Integration

Mon, 01 Jan 0001 00:00:00 +0000

User management and commenting with Notion integration for CrewAI.

Nuclia

Mon, 01 Jan 0001 00:00:00 +0000

null

Mon, 01 Jan 0001 00:00:00 +0000

null

Mon, 01 Jan 0001 00:00:00 +0000

Nvidia Metrics

Mon, 01 Jan 0001 00:00:00 +0000

NVIDIA NIM

Mon, 01 Jan 0001 00:00:00 +0000

Use Weave to trace and log LLM calls made via the ChatNVIDIA library

OAuth Client Credentials

Mon, 01 Jan 0001 00:00:00 +0000

Machine-to-machine authentication for MCP using the OAuth 2.0 client credentials flow

Observability

Mon, 01 Jan 0001 00:00:00 +0000

Monitor and trace your Chroma deployment with OpenTelemetry.

Observability

Mon, 01 Jan 0001 00:00:00 +0000

Observability for LLMs ensures visibility, debugging, and performance optimization across prototyping, testing, and production

Observability concepts

Mon, 01 Jan 0001 00:00:00 +0000

Observability for agents

Mon, 01 Jan 0001 00:00:00 +0000

Observability in Studio

Mon, 01 Jan 0001 00:00:00 +0000

OCI Gen AI

Mon, 01 Jan 0001 00:00:00 +0000

OCR Tool

Mon, 01 Jan 0001 00:00:00 +0000

The ‘OCRTool’ extracts text from local images or image URLs using an LLM with vision.

OctoAI

Mon, 01 Jan 0001 00:00:00 +0000

Official MCP Registry Terms of Service

Mon, 01 Jan 0001 00:00:00 +0000

Ollama

Mon, 01 Jan 0001 00:00:00 +0000

Ollama

Mon, 01 Jan 0001 00:00:00 +0000

Ollama

Mon, 01 Jan 0001 00:00:00 +0000

OneDrive Trigger

Mon, 01 Jan 0001 00:00:00 +0000

Automate responses to OneDrive file activity

Online DPO Trainer

Mon, 01 Jan 0001 00:00:00 +0000

Online Evaluation

Mon, 01 Jan 0001 00:00:00 +0000

Online Monitoring

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use online monitoring with W&B Weave

Open Search and Cohere (Integration Guide)

Mon, 01 Jan 0001 00:00:00 +0000

Unlock the power of search and analytics with OpenSearch, enhanced by ML connectors like Cohere and Amazon Bedrock.

Open Source

Mon, 01 Jan 0001 00:00:00 +0000

Chroma is the open-source AI application database. Contribute to the project or learn about telemetry and privacy.

Open Source

Mon, 01 Jan 0001 00:00:00 +0000

Explore Weave’s open source resources and contribute to the project

Open Telemetry Logs

Mon, 01 Jan 0001 00:00:00 +0000

Understand how to capture telemetry logs from your CrewAI AMP deployments

OpenAI

Mon, 01 Jan 0001 00:00:00 +0000

OpenAI

Mon, 01 Jan 0001 00:00:00 +0000

OpenAI

Mon, 01 Jan 0001 00:00:00 +0000

OpenAI

Mon, 01 Jan 0001 00:00:00 +0000

Integrate OpenAI with Weave for tracing, evaluation, and monitoring

OpenAI Agents SDK

Mon, 01 Jan 0001 00:00:00 +0000

Use W&B Weave with the OpenAI Agents SDK to track and monitor your agentic applications

OpenAI API

Mon, 01 Jan 0001 00:00:00 +0000

How to use W&B with the OpenAI API.

OpenAI CLI

Mon, 01 Jan 0001 00:00:00 +0000

Install and use the generated openai command-line tool for Responses, structured outputs, images, speech, and shell workflows.

OpenAI compatibility

Mon, 01 Jan 0001 00:00:00 +0000

OpenAI Compatibility

Mon, 01 Jan 0001 00:00:00 +0000

Together’s API is compatible with OpenAI’s libraries, making it easy to try out our open-source models on existing applications.

OpenAI Fine-Tuning

Mon, 01 Jan 0001 00:00:00 +0000

How to Fine-Tune OpenAI models using W&B.

OpenAI GPT-OSS Quickstart

Mon, 01 Jan 0001 00:00:00 +0000

Get started with OpenAI’s GPT-OSS, open-source reasoning model duo.

OpenAI Gym

Mon, 01 Jan 0001 00:00:00 +0000

How to integrate W&B with OpenAI Gym.

OpenAI models in Amazon Bedrock

Mon, 01 Jan 0001 00:00:00 +0000

Learn how Amazon Bedrock availability differs from the OpenAI API, including supported capabilities, AWS-managed controls, and pricing considerations.

OpenAI Realtime API

Mon, 01 Jan 0001 00:00:00 +0000

Use Weave to automatically trace your calls to the OpenAI Realtime API.

OpenAI Responses

Mon, 01 Jan 0001 00:00:00 +0000

Openai Sdk

Mon, 01 Jan 0001 00:00:00 +0000

openapi

Mon, 01 Jan 0001 00:00:00 +0000

openapi

Mon, 01 Jan 0001 00:00:00 +0000

openapi

Mon, 01 Jan 0001 00:00:00 +0000

openapi

Mon, 01 Jan 0001 00:00:00 +0000

openapi

Mon, 01 Jan 0001 00:00:00 +0000

OpenAPI JSON

Mon, 01 Jan 0001 00:00:00 +0000

OpenAPI tools

Mon, 01 Jan 0001 00:00:00 +0000

OpenCLIP

Mon, 01 Jan 0001 00:00:00 +0000

OpenEnv Integration for Training LLMs with Environments

Mon, 01 Jan 0001 00:00:00 +0000

Openlayer

Mon, 01 Jan 0001 00:00:00 +0000

OpenLIT

Mon, 01 Jan 0001 00:00:00 +0000

OpenLIT Integration

Mon, 01 Jan 0001 00:00:00 +0000

Quickly start monitoring your Agents in just a single line of code with OpenTelemetry.

OpenLLMetry

Mon, 01 Jan 0001 00:00:00 +0000

OpenReward Integration for Training LLMs with Environments

Mon, 01 Jan 0001 00:00:00 +0000

OpenRouter

Mon, 01 Jan 0001 00:00:00 +0000

OpenRouter

Mon, 01 Jan 0001 00:00:00 +0000

OpenRouter

Mon, 01 Jan 0001 00:00:00 +0000

Use OpenRouter’s unified interface for many LLMs with automatic Weave integration

OpenTelemetry support

Mon, 01 Jan 0001 00:00:00 +0000

Monitor Pinecone Java SDK operations with OpenTelemetry metrics, including latency breakdowns and error tracking.

Opik Integration

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use Comet Opik to debug, evaluate, and monitor your CrewAI applications with comprehensive tracing, automated evaluations, and production-ready dashboards.

Optimization Overview

Mon, 01 Jan 0001 00:00:00 +0000

Optimize a classifier

Mon, 01 Jan 0001 00:00:00 +0000

Optimize your terminal setup

Mon, 01 Jan 0001 00:00:00 +0000

Claude Code works best when your terminal is properly configured. Follow these guidelines to optimize your experience.

Optimizers

Mon, 01 Jan 0001 00:00:00 +0000

Optimizing LLM Accuracy

Mon, 01 Jan 0001 00:00:00 +0000

Learn strategies to enhance the accuracy of large language models using techniques like prompt engineering, retrieval-augmented generation, and fine-tuning.

Orchestrate teams of Claude Code sessions

Mon, 01 Jan 0001 00:00:00 +0000

Coordinate multiple Claude Code instances working together as a team, with shared tasks, inter-agent messaging, and centralized management.

Orchestration and handoffs

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to orchestrate multiple agents with handoffs and agents-as-tools in the OpenAI Agents SDK.

Organization and workspace operations reference

Mon, 01 Jan 0001 00:00:00 +0000

Organizations

Mon, 01 Jan 0001 00:00:00 +0000

Organizations overview

Mon, 01 Jan 0001 00:00:00 +0000

Understand organization structure, projects, and billing.

Organize runs

Mon, 01 Jan 0001 00:00:00 +0000

Organize your runs into groups and other properties.

Organize versions with tags

Mon, 01 Jan 0001 00:00:00 +0000

Use tags to organize collections or artifact versions within collections. You can add, remove, edit tags with the Python SDK or W&B App UI.

ORPO Trainer

Mon, 01 Jan 0001 00:00:00 +0000

Orthogonal Finetuning (OFT and BOFT)

Mon, 01 Jan 0001 00:00:00 +0000

Other resources

Mon, 01 Jan 0001 00:00:00 +0000

Explore Mistral AI Cookbook for code examples, community contributions, and third-party tool integrations

Outlines

Mon, 01 Jan 0001 00:00:00 +0000

Outlook Trigger

Mon, 01 Jan 0001 00:00:00 +0000

Launch automations from Outlook emails and calendar updates

Output

Mon, 01 Jan 0001 00:00:00 +0000

Output Refinement

Mon, 01 Jan 0001 00:00:00 +0000

Output styles

Mon, 01 Jan 0001 00:00:00 +0000

Adapt Claude Code for uses beyond software engineering

Outscale

Mon, 01 Jan 0001 00:00:00 +0000

Deploy and query Mistral AI models on Outscale via managed VMs and REST APIs

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Draft changes being considered for the AG-UI protocol

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Client package overview

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Core concepts in the Agent User Interaction Protocol SDK

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Core concepts in the Agent User Interaction Protocol SDK

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Documentation for encoding Agent User Interaction Protocol events

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Overview

Mon, 01 Jan 0001 00:00:00 +0000

This is the essential reference for understanding the Claude model family and should be one of the first pages you read before building anything with the Anthropic API. Focus on the capability differences between model tiers (Haiku, Sonnet, Opus) as this directly impacts your cost, latency, and quality tradeoffs in production. Pay attention to context window sizes and maximum output token limits, since these constraints will shape your prompt design and chunking strategies. When comparing with OpenAI’s model lineup, note that Anthropic’s naming convention signals capability tier rather than generation number.

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Anthropic’s taxonomy of proven AI use cases with implementation guidance for each.

Overview

Mon, 01 Jan 0001 00:00:00 +0000

This overview introduces the agent skills framework, which provides a structured way to package and distribute reusable capabilities that Claude-based agents can invoke. Skills sit between raw tool definitions and full agent architectures, giving you a composable middle layer for common tasks like code review, PR creation, or domain-specific analysis. Start here before reading the individual tool docs to understand how skills orchestrate multiple tools into cohesive workflows. The key architectural decision is which capabilities to implement as standalone tools versus packaged skills, and this doc provides the mental model for making that choice.

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Overview

Mon, 01 Jan 0001 00:00:00 +0000

This overview establishes the conceptual framework for prompt engineering with Claude and should be read before diving into specific techniques or best practices. Focus on how Claude’s instruction-following behavior differs from other models – Claude tends to be more literal in its interpretation of prompts, which means precise wording matters more than with some competitors. The page introduces key concepts like system prompts, role assignment, and output formatting that are referenced throughout all other prompt engineering materials. After reading this, proceed to the best practices guide for actionable techniques you can apply immediately.

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to build, customize, and optimize your CrewAI applications with comprehensive guides and tutorials

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Monitor, evaluate, and optimize your CrewAI agents with comprehensive observability tools

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Leverage AI services, generate images, process vision, and build intelligent systems

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Automate workflows and integrate with external platforms and services

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Interact with cloud services, storage systems, and cloud-based AI platforms

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Connect to databases, vector stores, and data warehouses for comprehensive data access

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Read, write, and search through various file formats with CrewAI’s document processing tools

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Connect CrewAI agents with external automations and managed AI services

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Perform web searches, find repositories, and research information across the internet

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Extract data from websites and automate browser interactions with powerful scraping tools

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Train models using reinforcement learning in minutes

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Build UIs that display real-time subagent streams, task progress, and sandbox for Deep Agents

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Stream real-time updates from deep agent runs and subagent execution

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Build generative UIs with real-time streaming from LangChain agents

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Control and customize agent execution at every step

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Stream real-time updates from agent runs

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Render LangGraph agents to the frontend

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Build UIs that display real-time subagent streams, task progress, and sandbox for Deep Agents

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Stream real-time updates from deep agent runs and subagent execution

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Build generative UIs with real-time streaming from LangChain agents

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Control and customize agent execution at every step

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Stream real-time updates from agent runs

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Render LangGraph agents to the frontend

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Welcome to Together AI’s docs! Together makes it easy to run, finetune, and train open source AI models with transparency and privacy.

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to create configuration files for sweeps.

Overview

Mon, 01 Jan 0001 00:00:00 +0000

Comprehensive API documentation and SDK references for Weights & Biases Weave

Overview of OpenAI Crawlers

Mon, 01 Jan 0001 00:00:00 +0000

Oxylabs Scrapers

Mon, 01 Jan 0001 00:00:00 +0000

Oxylabs Scrapers allow to easily access the information from the respective sources. Please see the list of available sources below:

Package Search MCP Server

Mon, 01 Jan 0001 00:00:00 +0000

Package Search Registry

Mon, 01 Jan 0001 00:00:00 +0000

Pagination

Mon, 01 Jan 0001 00:00:00 +0000

Pagination & Field Selection

Mon, 01 Jan 0001 00:00:00 +0000

Control how many results to return and which fields to include in your search results.

Paper Index

Mon, 01 Jan 0001 00:00:00 +0000

PAPO Trainer

Mon, 01 Jan 0001 00:00:00 +0000

Parallel agents

Mon, 01 Jan 0001 00:00:00 +0000

Parallel coordinates

Mon, 01 Jan 0001 00:00:00 +0000

Compare results across machine learning experiments

Parallel Execution

Mon, 01 Jan 0001 00:00:00 +0000

Parallel queries

Mon, 01 Jan 0001 00:00:00 +0000

Parallel Tool Use

Mon, 01 Jan 0001 00:00:00 +0000

Parallel Tools

Mon, 01 Jan 0001 00:00:00 +0000

Parallel Workflow

Mon, 01 Jan 0001 00:00:00 +0000

Execute multiple LLM calls in parallel and aggregate afterwards.

Parallelize agents

Mon, 01 Jan 0001 00:00:00 +0000

Parallelize W&B Sweep agents on multi-core or multi-GPU machine.

Parameter importance

Mon, 01 Jan 0001 00:00:00 +0000

Visualize the relationships between your model’s hyperparameters and output metrics

Parameter Settings

Mon, 01 Jan 0001 00:00:00 +0000

Parameter Tuning

Mon, 01 Jan 0001 00:00:00 +0000

Learn how training parameters affect model behavior and outcomes

Parameter types for tool use (function calling)

Mon, 01 Jan 0001 00:00:00 +0000

Guide on using structured outputs with tool parameters in the Cohere Chat API. Includes guide on supported parameter types and usage examples (API v2).

Parameter Types in Structured Outputs (JSON)

Mon, 01 Jan 0001 00:00:00 +0000

This page shows usage examples of the JSON Schema parameter types supported in Structured Outputs (JSON).

Part 1. Intro to streaming

Mon, 01 Jan 0001 00:00:00 +0000

Part 2. Sending messages

Mon, 01 Jan 0001 00:00:00 +0000

Part 3. Event handling

Mon, 01 Jan 0001 00:00:00 +0000

Part 4. Run configuration

Mon, 01 Jan 0001 00:00:00 +0000

Part 5. Audio, Images, and Video

Mon, 01 Jan 0001 00:00:00 +0000

Patch Assistant

Mon, 01 Jan 0001 00:00:00 +0000

Update an assistant.

Patch Thread

Mon, 01 Jan 0001 00:00:00 +0000

Update a thread.

Patching

Mon, 01 Jan 0001 00:00:00 +0000

Patronus AI Evaluation

Mon, 01 Jan 0001 00:00:00 +0000

Monitor and evaluate CrewAI agent performance using Patronus AI’s comprehensive evaluation platform for LLM outputs and agent behaviors.

Payment Methods & Invoices

Mon, 01 Jan 0001 00:00:00 +0000

Managing payment cards, ACH transfers, viewing invoices, and updating billing details.

PDF Extractor with Native Multi Step Tool Use

Mon, 01 Jan 0001 00:00:00 +0000

This page describes how to create an AI agent able to extract information from PDFs.

PDF RAG Search

Mon, 01 Jan 0001 00:00:00 +0000

The ‘PDFSearchTool’ is designed to search PDF files and return the most relevant results.

Pdf Support

Mon, 01 Jan 0001 00:00:00 +0000

This is the reference for sending PDFs to Claude, and it matters because Claude processes both the extracted text and the rendered page images, letting it reason over tables, charts, and scanned layouts that plain text extraction would lose. Pay close attention to the page and size limits and to token accounting, since each page consumes both text and image tokens and costs add up fast. A common pitfall is assuming PDFs are as cheap as text. Compared with Mistral’s and OpenAI’s image inputs the differentiator is native multi-page document handling; read the token-counting page alongside this to estimate cost.

PDF Text Writing Tool

Mon, 01 Jan 0001 00:00:00 +0000

The ‘PDFTextWritingTool’ writes text to specific positions in a PDF, supporting custom fonts.

PEFT

Mon, 01 Jan 0001 00:00:00 +0000

This is the entry point to PEFT and the right place to grasp why parameter-efficient fine-tuning matters: methods like LoRA train a small set of extra parameters instead of all of them, cutting compute and storage enough to fine-tune large models on consumer hardware. Focus on the menu of method families and on PEFT’s integration with Transformers, Diffusers, and Accelerate, which is what makes it practical. A common misconception is that PEFT sacrifices quality, when in practice it reaches performance comparable to full fine-tuning. Read the quicktour next, then the LoRA developer guide for the method you will actually reach for.

PEFT checkpoint format

Mon, 01 Jan 0001 00:00:00 +0000

PEFT configurations and models

Mon, 01 Jan 0001 00:00:00 +0000

PEFT Integration

Mon, 01 Jan 0001 00:00:00 +0000

PEFT integrations

Mon, 01 Jan 0001 00:00:00 +0000

Performance

Mon, 01 Jan 0001 00:00:00 +0000

Single-node Chroma performance benchmarks and limitations.

Performance benchmarking

Mon, 01 Jan 0001 00:00:00 +0000

Measure and optimize your deployment’s performance with load testing

Performing Tasks Sequentially with Cohere's RAG

Mon, 01 Jan 0001 00:00:00 +0000

Build an agentic RAG system that can handle user queries that require tasks to be performed in a sequence.

Permissions

Mon, 01 Jan 0001 00:00:00 +0000

Permissions are critical for production deployments where agents interact with external systems or sensitive data. Focus on the least-privilege principle: grant only the capabilities an agent actually needs, and be especially careful with tool permissions that allow file system access or network calls. A common pitfall is developing with permissive settings and forgetting to lock them down before deployment, which can expose your system to prompt injection attacks that leverage overly broad tool access. Read this alongside the secure deployment guide for a complete security posture.

Perplexity

Mon, 01 Jan 0001 00:00:00 +0000

Perplexity

Mon, 01 Jan 0001 00:00:00 +0000

Persistence

Mon, 01 Jan 0001 00:00:00 +0000

Persistence

Mon, 01 Jan 0001 00:00:00 +0000

Persona Generation

Mon, 01 Jan 0001 00:00:00 +0000

PG RAG Search

Mon, 01 Jan 0001 00:00:00 +0000

The ‘PGSearchTool’ is designed to search PostgreSQL databases and return the most relevant results.

Philosophy

Mon, 01 Jan 0001 00:00:00 +0000

Philosophy

Mon, 01 Jan 0001 00:00:00 +0000

LangChain exists to be the easiest place to start building with LLMs, while also being flexible and production-ready.

Philosophy

Mon, 01 Jan 0001 00:00:00 +0000

LangChain exists to be the easiest place to start building with LLMs, while also being flexible and production-ready.

PII Data Handling

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use pii data handling with W&B Weave

PII Redaction for Traces

Mon, 01 Jan 0001 00:00:00 +0000

Automatically redact sensitive data from crew and flow execution traces

Pin and compare runs

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use pinned and baseline runs to keep track of important runs and efficiently evaluate model experiments.

pinecone

Mon, 01 Jan 0001 00:00:00 +0000

Pinecone .NET SDK

Mon, 01 Jan 0001 00:00:00 +0000

Pinecone and Cohere (Integration Guide)

Mon, 01 Jan 0001 00:00:00 +0000

This page describes how to integrate Cohere with the Pinecone vector database.

Pinecone Assistant

Mon, 01 Jan 0001 00:00:00 +0000

Pinecone Assistant is a service that allow you to build production-grade chat and agent-based applications quickly.

Pinecone Assistant architecture

Mon, 01 Jan 0001 00:00:00 +0000

Pinecone Assistant: n8n quickstart

Mon, 01 Jan 0001 00:00:00 +0000

Create an n8n workflow to chat with documents using Pinecone Assistant and OpenAI.

Pinecone Assistant: SDK quickstart

Mon, 01 Jan 0001 00:00:00 +0000

Use a Pinecone SDK to create an assistant, upload documents, and chat with the assistant.

Pinecone documentation

Mon, 01 Jan 0001 00:00:00 +0000

Pinecone is the leading vector database for building accurate and performant AI applications at scale in production.

Pinecone Go SDK

Mon, 01 Jan 0001 00:00:00 +0000

Pinecone Java SDK

Mon, 01 Jan 0001 00:00:00 +0000

Pinecone Node.js SDK

Mon, 01 Jan 0001 00:00:00 +0000

Pinecone Python SDK

Mon, 01 Jan 0001 00:00:00 +0000

Pinecone Rust SDK

Mon, 01 Jan 0001 00:00:00 +0000

Pinecone Support SLAs

Mon, 01 Jan 0001 00:00:00 +0000

PineconeAttribute errors with LangChain

Mon, 01 Jan 0001 00:00:00 +0000

Ping

Mon, 01 Jan 0001 00:00:00 +0000

Plan in the cloud with ultraplan

Mon, 01 Jan 0001 00:00:00 +0000

Start a plan from your CLI, draft it on Claude Code on the web, then execute it remotely or back in your terminal

Planning

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to add planning to your CrewAI Crew and improve their performance.

Platform Overview

Mon, 01 Jan 0001 00:00:00 +0000

Architecture, deployment lifecycle, and core concepts for Dedicated Container Inference.

Platforms and integrations

Mon, 01 Jan 0001 00:00:00 +0000

Choose where to run Claude Code and what to connect it to. Compare the CLI, Desktop, VS Code, JetBrains, web, and integrations like Chrome, Slack, and CI/CD.

Playground

Mon, 01 Jan 0001 00:00:00 +0000

Guide to using Together AI’s web playground for interactive AI model inference across chat, image, video, audio, and transcribe models.

Plugins

Mon, 01 Jan 0001 00:00:00 +0000

Plugins extend the Agent SDK’s core behavior by hooking into the agent lifecycle at well-defined extension points, enabling cross-cutting concerns like logging, rate limiting, and custom authentication without modifying agent logic directly. Focus on the plugin interface and the ordering guarantees for plugin execution — multiple plugins can compose, but execution order matters for plugins that modify requests or responses. A common mistake is putting business logic inside plugins rather than skills, which makes agents harder to test and reason about. Read this after understanding skills to appreciate the boundary between agent capabilities and infrastructure concerns.

Plugins

Mon, 01 Jan 0001 00:00:00 +0000

Plugins reference

Mon, 01 Jan 0001 00:00:00 +0000

Complete technical reference for Claude Code plugin system, including schemas, CLI commands, and component specifications.

Point aggregation

Mon, 01 Jan 0001 00:00:00 +0000

Pondr, Fostering Connection through Good Conversation

Mon, 01 Jan 0001 00:00:00 +0000

This page contains a basic tutorial on how tplay an AI-powered version of the icebreaking game ‘Pondr’.

Portkey Integration

Mon, 01 Jan 0001 00:00:00 +0000

How to use Portkey with CrewAI

Post-Training Toolkit Integration

Mon, 01 Jan 0001 00:00:00 +0000

PPO Trainer

Mon, 01 Jan 0001 00:00:00 +0000

Prebuilt middleware

Mon, 01 Jan 0001 00:00:00 +0000

Prebuilt middleware for common agent use cases

Prebuilt middleware

Mon, 01 Jan 0001 00:00:00 +0000

Prebuilt middleware for common agent use cases

Predicted outputs

Mon, 01 Jan 0001 00:00:00 +0000

Optimize response time by predefining predictable content for faster, efficient AI outputs." (99 characters)

Predicted Outputs

Mon, 01 Jan 0001 00:00:00 +0000

Understand how to reduce latency for model responses where much of the response is known ahead of time.

Prefect

Mon, 01 Jan 0001 00:00:00 +0000

Preference Fine-Tuning

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use preference fine-tuning on Together Fine-Tuning Platform

Prefix

Mon, 01 Jan 0001 00:00:00 +0000

Prefixes enhance model responses by improving language adherence, saving tokens, enabling roleplay, and strengthening safeguards

Prepare for Deployment

Mon, 01 Jan 0001 00:00:00 +0000

Ensure your Crew or Flow is ready for deployment to CrewAI AMP

Prerequisites

Mon, 01 Jan 0001 00:00:00 +0000

Set up your environment to use W&B Inference

Prerequisites

Mon, 01 Jan 0001 00:00:00 +0000

Set up your environment to use W&B Training

Prevent logging of sensitive data in traces

Mon, 01 Jan 0001 00:00:00 +0000

Price comparison vs Tinker

Mon, 01 Jan 0001 00:00:00 +0000

Estimate the cost of multi-turn agentic RL rollouts on Fireworks compared to Tinker’s per-token pricing

Pricing

Mon, 01 Jan 0001 00:00:00 +0000

Understanding AI pricing is critical for any build-vs-buy decision. Anthropic charges per token (roughly per word) with different rates for input and output, and prices vary dramatically between model tiers — Haiku can be 50x cheaper than Opus per token. The practical implication: a customer support chatbot handling 10,000 conversations per day might cost $50/month with Haiku or $2,500/month with Opus, so model selection directly impacts unit economics. Pay attention to prompt caching and batch API discounts, which can cut costs by 50-90% for predictable workloads. Compare these structures with OpenAI and Mistral pricing to understand the competitive landscape before committing to a provider.

Pricing

Mon, 01 Jan 0001 00:00:00 +0000

Pricing

Mon, 01 Jan 0001 00:00:00 +0000

Pricing

Mon, 01 Jan 0001 00:00:00 +0000

Check the pricing page for detailed API cost information

Pricing

Mon, 01 Jan 0001 00:00:00 +0000

Pricing information for the OpenAI platform.

Pricing

Mon, 01 Jan 0001 00:00:00 +0000

Fine-tuning pricing at Together AI is based on the total number of tokens processed during your job.

Pricing and limits

Mon, 01 Jan 0001 00:00:00 +0000

Understand Pinecone Assistant pricing and service limits.

Pricing FAQ

Mon, 01 Jan 0001 00:00:00 +0000

Pricing FAQ

Mon, 01 Jan 0001 00:00:00 +0000

Pricing plans

Mon, 01 Jan 0001 00:00:00 +0000

Priority processing

Mon, 01 Jan 0001 00:00:00 +0000

Get faster processing in the API while retaining flexible pay-as-you-go pricing.

Privacy-Conscious Delegation

Mon, 01 Jan 0001 00:00:00 +0000

Private Deployment – Setting Up

Mon, 01 Jan 0001 00:00:00 +0000

This page describes the setup required for private deployments of Cohere’s models.

Private Deployment Overview

Mon, 01 Jan 0001 00:00:00 +0000

This page provides an overview of private deployments of Cohere’s models.

Private Deployment Usage

Mon, 01 Jan 0001 00:00:00 +0000

This page describes how to use Cohere’s SDK to access privately deployed Cohere models.

Private Package Registries

Mon, 01 Jan 0001 00:00:00 +0000

Install private Python packages from authenticated PyPI registries in CrewAI AMP

PRM Trainer

Mon, 01 Jan 0001 00:00:00 +0000

Processes

Mon, 01 Jan 0001 00:00:00 +0000

Detailed guide on workflow management through processes in CrewAI, with updated implementation details.

Production Architecture

Mon, 01 Jan 0001 00:00:00 +0000

Best practices for building production-ready AI applications with CrewAI

Production best practices

Mon, 01 Jan 0001 00:00:00 +0000

Explore best practices for transitioning your AI projects from prototype to production, including scaling, security, and cost management.

Production checklist

Mon, 01 Jan 0001 00:00:00 +0000

Prepare your indexes for production with best practices.

Production notes on GPT Actions

Mon, 01 Jan 0001 00:00:00 +0000

Guidelines for deploying GPT Actions in a production environment, including rate limits, timeouts, and security measures.

Profile Management

Mon, 01 Jan 0001 00:00:00 +0000

Manage CLI profiles for Chroma Cloud authentication.

Program Of Thought

Mon, 01 Jan 0001 00:00:00 +0000

Programmatic Tool Calling

Mon, 01 Jan 0001 00:00:00 +0000

Programmatic tool calling lets you force Claude to invoke a specific tool rather than deciding autonomously whether to use one, which is essential for deterministic agentic workflows where you need guaranteed structured output on every turn. This is particularly useful when building pipelines that must always extract data into a schema or always query an external system before responding. Be aware that forcing a tool call changes Claude’s behavior around the rest of the response – it will not produce any text content before the forced tool invocation. Read the general tool-use guide first to understand the baseline calling conventions, then use this doc to layer in the deterministic control patterns.

Programming Overview

Mon, 01 Jan 0001 00:00:00 +0000

DSPy takes a fundamentally different approach to working with LLMs: instead of manually writing and tweaking prompts, you define typed signatures (input/output schemas) and let DSPy’s optimizers compile them into effective prompts automatically. This is a paradigm shift from traditional prompt engineering, and it means the skills you build here are more about program design than wordsmithing. Focus on understanding Modules and Signatures first, as they are the core abstractions everything else builds on. A common gotcha is expecting DSPy to work well without a good set of training examples — the optimizers need representative input-output pairs to produce high-quality compiled prompts, so invest in your dataset before tuning the optimizer.

Progress

Mon, 01 Jan 0001 00:00:00 +0000

Projects

Mon, 01 Jan 0001 00:00:00 +0000

Create isolated workspaces to organize resources, manage team access, and scope API keys

Projects

Mon, 01 Jan 0001 00:00:00 +0000

Compare versions of your model, explore results in a scratch workspace, and export findings to a report to save notes and visualizations

Projects overview

Mon, 01 Jan 0001 00:00:00 +0000

Learn about projects, roles, and collaboration.

Prompt

Mon, 01 Jan 0001 00:00:00 +0000

Prompt caching

Mon, 01 Jan 0001 00:00:00 +0000

Prompt caching

Mon, 01 Jan 0001 00:00:00 +0000

Learn how prompt caching reduces latency and cost for long prompts in OpenAI’s API.

Prompt Caching

Mon, 01 Jan 0001 00:00:00 +0000

Prompt engineering

Mon, 01 Jan 0001 00:00:00 +0000

Prompt engineering

Mon, 01 Jan 0001 00:00:00 +0000

Learn strategies and tactics for better results using large language models in the OpenAI API.

Prompt engineering concepts

Mon, 01 Jan 0001 00:00:00 +0000

Prompt engineering quickstart

Mon, 01 Jan 0001 00:00:00 +0000

Prompt Evaluation Quickstart

Mon, 01 Jan 0001 00:00:00 +0000

Prompt generation

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to generate prompts, functions, and schemas in the OpenAI API’s Playground.

Prompt guidance for GPT-5.4

Mon, 01 Jan 0001 00:00:00 +0000

Learn prompt patterns and migration guidance for GPT-5.4, including completeness checks, verification loops, tool persistence, and structured outputs.

Prompt Library

Mon, 01 Jan 0001 00:00:00 +0000

Prompt Optimization Copro

Mon, 01 Jan 0001 00:00:00 +0000

Prompt Optimization Gepa

Mon, 01 Jan 0001 00:00:00 +0000

Prompt Optimization Introduction

Mon, 01 Jan 0001 00:00:00 +0000

Prompt Optimization Miprov2

Mon, 01 Jan 0001 00:00:00 +0000

Prompt Optimization Simba

Mon, 01 Jan 0001 00:00:00 +0000

Prompt optimizer

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use your dataset to automatically improve your prompts.

Prompt template format guide

Mon, 01 Jan 0001 00:00:00 +0000

Prompt-based methods

Mon, 01 Jan 0001 00:00:00 +0000

Prompting

Mon, 01 Jan 0001 00:00:00 +0000

Prompting capabilities

Mon, 01 Jan 0001 00:00:00 +0000

Learn effective prompting techniques for classification, summarization, personalization, and evaluation with Mistral models

Prompting DeepSeek R1

Mon, 01 Jan 0001 00:00:00 +0000

Prompt engineering for DeepSeek-R1.

Prompting Tools

Mon, 01 Jan 0001 00:00:00 +0000

This guide is the definitive reference for writing effective tool definitions that Claude can invoke reliably. Focus on how parameter descriptions and tool descriptions influence Claude’s decision about when and how to call each tool – vague descriptions lead to incorrect invocations or tool avoidance. A common mistake is defining too many tools in a single request, which degrades selection accuracy; the guide offers practical thresholds. If you are building agentic applications with Claude, read this before the broader tool use documentation, as well-crafted tool prompts are the foundation of reliable agent behavior.

Promptlibrary

Mon, 01 Jan 0001 00:00:00 +0000

Prompts

Mon, 01 Jan 0001 00:00:00 +0000

Prompts are the least commonly used of the three MCP primitives, but they fill an important niche: reusable, parameterized templates that help users invoke common workflows. Think of them as saved recipes that combine a specific prompt structure with dynamic arguments. Unlike tools and resources, prompts are user-initiated – the user explicitly selects a prompt from a menu rather than the model discovering it automatically. This makes them ideal for standardizing repetitive interactions like “summarize this codebase” or “review this PR.”

Prune Threads

Mon, 01 Jan 0001 00:00:00 +0000

Prune threads by ID. The ‘delete’ strategy removes threads entirely. The ‘keep_latest’ strategy prunes old checkpoints but keeps threads and their latest state.

Publish an integration

Mon, 01 Jan 0001 00:00:00 +0000

Publish an integration

Mon, 01 Jan 0001 00:00:00 +0000

Publish Custom Tools

Mon, 01 Jan 0001 00:00:00 +0000

How to build, package, and publish your own CrewAI-compatible tools to PyPI so any CrewAI user can install and use them.

Publishing Remote Servers

Mon, 01 Jan 0001 00:00:00 +0000

Remote servers represent a significant architectural shift from the local stdio-based MCP servers most developers start with, enabling cloud-hosted tools accessible over HTTP with persistent sessions. This guide covers the specific requirements for publishing remote servers to the registry, including endpoint URL configuration and health check expectations. Watch for the distinction between the server’s transport URL and its registry metadata URL, as confusing the two is a frequent source of registration failures. Read this after the general registry overview if you plan to deploy MCP servers as hosted services rather than local processes.

Pulumi

Mon, 01 Jan 0001 00:00:00 +0000

Push events into a running session with channels

Mon, 01 Jan 0001 00:00:00 +0000

Use channels to push messages, alerts, and webhooks into your Claude Code session from an MCP server. Forward CI results, chat messages, and monitoring events so Claude can react while you’re away.

Pydantic AI

Mon, 01 Jan 0001 00:00:00 +0000

Pydantic AI Gateway

Mon, 01 Jan 0001 00:00:00 +0000

Pydantic Model

Mon, 01 Jan 0001 00:00:00 +0000

PydanticAI

Mon, 01 Jan 0001 00:00:00 +0000

Using PydanticAI with Together

PydanticAI

Mon, 01 Jan 0001 00:00:00 +0000

Trace PydanticAI agent and tool calls in Weave using OpenTelemetry

Python

Mon, 01 Jan 0001 00:00:00 +0000

The Python SDK is the more mature of the two language implementations and tends to receive new features first. Pay close attention to the async patterns used throughout – the SDK is built on asyncio, so understanding Python’s async/await model is a prerequisite for effective use. If you are coming from the raw Anthropic API client, note that the Agent SDK manages conversation state and tool execution loops for you, which is a significant shift in how you structure your code. Read the quickstart guide first if you have not already, then use this reference for Python-specific configuration details.

Python

Mon, 01 Jan 0001 00:00:00 +0000

Python

Mon, 01 Jan 0001 00:00:00 +0000

Python

Mon, 01 Jan 0001 00:00:00 +0000

Python

Mon, 01 Jan 0001 00:00:00 +0000

Python AttributeError: module pinecone has no attribute init

Mon, 01 Jan 0001 00:00:00 +0000

Python Guide

Mon, 01 Jan 0001 00:00:00 +0000

Python implementation guide

Python Library

Mon, 01 Jan 0001 00:00:00 +0000

Python SDK

Mon, 01 Jan 0001 00:00:00 +0000

Python v2 SDK Migration Guide

Mon, 01 Jan 0001 00:00:00 +0000

Migrate from Together Python v1 to v2 - the new Together AI Python SDK with improved type safety and modern architecture.

PyTorch

Mon, 01 Jan 0001 00:00:00 +0000

PyTorch Geometric

Mon, 01 Jan 0001 00:00:00 +0000

PyTorch Ignite

Mon, 01 Jan 0001 00:00:00 +0000

How to integrate W&B with PyTorch Ignite.

PyTorch Lightning

Mon, 01 Jan 0001 00:00:00 +0000

Pytorch torchtune

Mon, 01 Jan 0001 00:00:00 +0000

Qdrant and Cohere (Integration Guide)

Mon, 01 Jan 0001 00:00:00 +0000

This page describes how to integrate Cohere with the Qdrant vector database.

Qdrant Vector Search Tool

Mon, 01 Jan 0001 00:00:00 +0000

Semantic search capabilities for CrewAI agents using Qdrant vector database

Quantization

Mon, 01 Jan 0001 00:00:00 +0000

Reduce model precision to improve performance and lower costs

Quantization

Mon, 01 Jan 0001 00:00:00 +0000

Query and export Calls

Mon, 01 Jan 0001 00:00:00 +0000

Filter, sort, and export Weave call data using the Python SDK, REST API, or the Weave UI for custom analysis.

Query and Get

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to query and retrieve data from Chroma collections.

Query threads using the SDK

Mon, 01 Jan 0001 00:00:00 +0000

Programmatically fetch and inspect multi-turn conversation threads from your LangSmith projects.

Query traces (SDK)

Mon, 01 Jan 0001 00:00:00 +0000

Querying Structured Data (SQL)

Mon, 01 Jan 0001 00:00:00 +0000

Build an agentic RAG system that can query structured data (SQL).

Querying Structured Data (Tables)

Mon, 01 Jan 0001 00:00:00 +0000

Build an agentic RAG system that can query structured data (tables).

Question Graph

Mon, 01 Jan 0001 00:00:00 +0000

Queue API

Mon, 01 Jan 0001 00:00:00 +0000

Submit, monitor, and manage asynchronous jobs for your Dedicated Container deployments.

Quick Start

Mon, 01 Jan 0001 00:00:00 +0000

Quick Start

Mon, 01 Jan 0001 00:00:00 +0000

Quickstart

Mon, 01 Jan 0001 00:00:00 +0000

Welcome to Claude Code!

Quickstart

Mon, 01 Jan 0001 00:00:00 +0000

This is the fastest path to a running agent and the best starting point before diving into advanced SDK features. Focus on the AgentConfig pattern, which is the central abstraction for defining agent behavior, tools, and instructions. Pay attention to how the SDK handles the agentic loop automatically – understanding what happens behind the scenes here will save you debugging time later. Read this before the Python or TypeScript language-specific guides so you have the conceptual model in place first.

Quickstart

Mon, 01 Jan 0001 00:00:00 +0000

This quickstart walks you through building your first agent skill end-to-end, from definition to invocation within a Claude-powered agent. Focus on the skill registration pattern and how the runtime discovers and exposes skills to the model — getting this wiring right is foundational for everything else. Be aware that the quickstart uses simplified error handling; production skills need retry logic and graceful degradation as covered in the best practices guide. Work through this hands-on before reading the enterprise or best practices docs to build concrete intuition first.

Quickstart

Mon, 01 Jan 0001 00:00:00 +0000

Build your first AI agent with CrewAI in under 5 minutes.

Quickstart

Mon, 01 Jan 0001 00:00:00 +0000

Get a custom training loop running in minutes with the Fireworks Training API.

Quickstart

Mon, 01 Jan 0001 00:00:00 +0000

Build an agent from a template

Quickstart

Mon, 01 Jan 0001 00:00:00 +0000

Build an agent from a template

Quickstart

Mon, 01 Jan 0001 00:00:00 +0000

Build your first deep agent in minutes

Quickstart

Mon, 01 Jan 0001 00:00:00 +0000

Quickstart

Mon, 01 Jan 0001 00:00:00 +0000

Quickstart

Mon, 01 Jan 0001 00:00:00 +0000

Build your first deep agent in minutes

Quickstart

Mon, 01 Jan 0001 00:00:00 +0000

Quickstart

Mon, 01 Jan 0001 00:00:00 +0000

Quickstart

Mon, 01 Jan 0001 00:00:00 +0000

Quickstart guide for setting up a Mistral AI account, configuring billing, and using the API for models and embeddings

Quickstart

Mon, 01 Jan 0001 00:00:00 +0000

Step-by-step setup for installing the package, configuring API keys, and running your first agent locally.

Quickstart

Mon, 01 Jan 0001 00:00:00 +0000

Build your first agent with the OpenAI Agents SDK, add tools and handoffs, and understand where to go next.

Quickstart

Mon, 01 Jan 0001 00:00:00 +0000

Get started with Pinecone manually, with AI assistance, or with no-code tools.

Quickstart

Mon, 01 Jan 0001 00:00:00 +0000

Deploy your first container in 20 minutes.

Quickstart

Mon, 01 Jan 0001 00:00:00 +0000

Get up to speed with our API in one minute.

Quickstart

Mon, 01 Jan 0001 00:00:00 +0000

Quickstart: Create Your First Cluster

Mon, 01 Jan 0001 00:00:00 +0000

Get started with GPU Clusters in minutes

Quickstart: Flux Kontext

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use Flux’s new in-context image generation models

Quickstart: Flux LoRA Inference

Mon, 01 Jan 0001 00:00:00 +0000

Quickstart: FLUX.2

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use FLUX.2, the next generation image model with advanced prompting capabilities

Quickstart: How to do OCR

Mon, 01 Jan 0001 00:00:00 +0000

A step by step guide on how to do OCR with Together AI’s vision models with structured outputs

Quickstart: How to Use OpenClaw with Together AI

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to pair OpenClaw, a powerful autonomous agent, with frontier OSS models on Together AI like Kimi K2.5 and GLM 4.7.

Quickstart: Next.Js

Mon, 01 Jan 0001 00:00:00 +0000

Build an app that can ask a single question or chat with an LLM using Next.js and Together AI.

Quickstart: Publish an MCP Server to the MCP Registry

Mon, 01 Jan 0001 00:00:00 +0000

Publishing your MCP server to the registry makes it discoverable by any MCP client, which is a critical step for adoption beyond your own projects. Focus on the metadata requirements (name, description, capabilities) because poorly described servers are effectively invisible in the registry. Note that the registry currently requires GitHub-based authentication and a specific package manifest format — read through the validation errors carefully if your first publish attempt fails, as the error messages are quite specific. Come to this doc after you have a working server from the build-server tutorial, since you need a functional server before publishing makes sense.

Quickstart: Retrieval Augmented Generation (RAG)

Mon, 01 Jan 0001 00:00:00 +0000

How to build a RAG workflow in under 5 mins!

Quickstart: Track LLM inputs & outputs

Mon, 01 Jan 0001 00:00:00 +0000

Begin debugging LLM apps by adding tracing.

Quickstart: Using Hugging Face Inference With Together

Mon, 01 Jan 0001 00:00:00 +0000

This guide will walk you through how to use Together models with Hugging Face Inference.

Quickstart: Using Mastra with Together AI

Mon, 01 Jan 0001 00:00:00 +0000

This guide will walk you through how to use Together models with Mastra.

Quickstart: Using Vercel AI SDK With Together AI

Mon, 01 Jan 0001 00:00:00 +0000

This guide will walk you through how to use Together models with the Vercel AI SDK.

Quickstart: Wan 2.7 T2V

Mon, 01 Jan 0001 00:00:00 +0000

Generate videos from text prompts with optional audio input using the Wan 2.7 T2V model.

Quicktour

Mon, 01 Jan 0001 00:00:00 +0000

Quotas & Limits

Mon, 01 Jan 0001 00:00:00 +0000

R2R

Mon, 01 Jan 0001 00:00:00 +0000

RAG

Mon, 01 Jan 0001 00:00:00 +0000

RAG Citations

Mon, 01 Jan 0001 00:00:00 +0000

Guide on accessing and utilizing citations generated by the Cohere Chat endpoint for RAG. It covers both non-streaming and streaming modes (API v2).

RAG Evaluation

Mon, 01 Jan 0001 00:00:00 +0000

RAG Integrations

Mon, 01 Jan 0001 00:00:00 +0000

RAG Streaming

Mon, 01 Jan 0001 00:00:00 +0000

Guide on implementing streaming for RAG with Cohere and details on the events stream (API v2).

RAG Tool

Mon, 01 Jan 0001 00:00:00 +0000

The ‘RagTool’ is a dynamic knowledge base tool for answering questions using Retrieval-Augmented Generation.

RAG With Chat Embed and Rerank via Pinecone

Mon, 01 Jan 0001 00:00:00 +0000

This page contains a basic tutorial on how to build a RAG-powered chatbot.

Ragas CLI

Mon, 01 Jan 0001 00:00:00 +0000

Ranking and Scoring

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use ranking expressions to score and order your search results. In Chroma, lower scores indicate better matches (distance-based scoring).

RapidFire AI Integration

Mon, 01 Jan 0001 00:00:00 +0000

Rate Limit

Mon, 01 Jan 0001 00:00:00 +0000

Rate limit and usage tiers

Mon, 01 Jan 0001 00:00:00 +0000

Learn about Mistral’s API rate limits, usage tiers, and how to upgrade for higher capacity.’ (99 characters)

Rate limits

Mon, 01 Jan 0001 00:00:00 +0000

Rate limits are restrictions that our API imposes on the number of times a user or client can access our services within a specified period of time.

Rate limits

Mon, 01 Jan 0001 00:00:00 +0000

Default rate limits on Dedicated Cloud and how to request changes

Rate limits

Mon, 01 Jan 0001 00:00:00 +0000

Optional rate limits on Self-Managed instances for stability

Rate Limits

Mon, 01 Jan 0001 00:00:00 +0000

Understanding rate limits is essential before any production deployment, because hitting them surfaces as 429 errors that silently degrade user-facing latency if you have not built retry-with-backoff. Pay close attention to the distinction between requests-per-minute and tokens-per-minute limits and to the role of usage tiers, since you can be well under the request cap but blocked on tokens. The common mistake is testing at low volume and discovering the ceiling only under real load. Pair this with the batch-processing page, which moves bulk work off your interactive rate budget entirely.

Raw Response

Mon, 01 Jan 0001 00:00:00 +0000

React Component Export

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to export and integrate CrewAI AMP React components into your applications

Realtime API

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to build low-latency, multimodal LLM applications with the Realtime API.

Realtime API with MCP

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to configure MCP tools in the Realtime API and handle the resulting event flow.

Realtime API with SIP

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to connect to the Realtime API using SIP.

Realtime API with WebRTC

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to connect to the Realtime API using WebRTC.

Realtime API with WebSocket

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to connect to the Realtime API using WebSocket in a server-to-server application.

Realtime conversations

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to manage Realtime speech-to-speech conversations.

Realtime guide

Mon, 01 Jan 0001 00:00:00 +0000

Deep dive into session lifecycle, event formats, and concurrency patterns.

Realtime quickstart

Mon, 01 Jan 0001 00:00:00 +0000

Stand up low-latency realtime agents with websocket transport (WebRTC is not available in the Python SDK).

Realtime transcription

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to transcribe audio in real-time with the Realtime API.

Realtime translation

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to build live speech translation with Realtime translation sessions.

Realtime transport

Mon, 01 Jan 0001 00:00:00 +0000

Decide between the default server-side WebSocket path and SIP attach flows, with the browser WebRTC boundary called out explicitly.

Reasoning

Mon, 01 Jan 0001 00:00:00 +0000

Support for LLM reasoning visibility and continuity in AG-UI

Reasoning

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to enable and use agent reasoning to improve task execution.

Reasoning

Mon, 01 Jan 0001 00:00:00 +0000

How to use reasoning with Fireworks models

Reasoning

Mon, 01 Jan 0001 00:00:00 +0000

Reasoning models generate logical chains of thought to solve problems, improving accuracy with extra compute time." (99 characters)

Reasoning

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use reasoning models that think step-by-step before answering.

Reasoning best practices

Mon, 01 Jan 0001 00:00:00 +0000

Best practices for using o-series reasoning models (o1, o3-mini) vs GPT models — covering use cases, model selection, and prompting strategies specific to reasoning models.

Reasoning Capabilities

Mon, 01 Jan 0001 00:00:00 +0000

Reasoning models excel at tool use, agentic workflows, and complex problem-solving. This page provides a general overview of Cohere’s reasoning capalities.

Reasoning Fine-tuning

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to fine-tune reasoning models with chain-of-thought data using Together AI.

Reasoning models

Mon, 01 Jan 0001 00:00:00 +0000

Explore the capabilities of OpenAI’s o1 series for complex reasoning and problem-solving. Learn about their features and how they compare to GPT-4o models.

Reasoning Models Guide

Mon, 01 Jan 0001 00:00:00 +0000

How reasoning models like DeepSeek-R1 work.

Reasoning tokens

Mon, 01 Jan 0001 00:00:00 +0000

Display model thinking and reasoning processes in collapsible blocks

Reasoning tokens

Mon, 01 Jan 0001 00:00:00 +0000

Display model thinking and reasoning processes in collapsible blocks

Rebuild graph at runtime

Mon, 01 Jan 0001 00:00:00 +0000

Rebuild your graph with different configurations for each run using ServerRuntime.

Recommended Models

Mon, 01 Jan 0001 00:00:00 +0000

Find the right models for your use case

Red teaming

Mon, 01 Jan 0001 00:00:00 +0000

Learn how red teaming fits into AI evaluation, including Promptfoo open source and OpenAI Red Teaming for enterprise teams.

Redact PII from traces

Mon, 01 Jan 0001 00:00:00 +0000

Automatically redact Personally Identifiable Information from traces

Redis and Cohere (Integration Guide)

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to integrate Cohere with Redis for similarity searches on text data with this step-by-step guide.

Redpanda

Mon, 01 Jan 0001 00:00:00 +0000

Reduce Hallucinations

Mon, 01 Jan 0001 00:00:00 +0000

Hallucination reduction is arguably the most impactful guardrail topic for practitioners building retrieval-augmented or factual applications with Claude. The guide covers grounding techniques such as providing source documents, instructing the model to quote directly, and asking it to flag uncertainty. A key gotcha is that simply telling Claude “don’t hallucinate” is far less effective than structuring prompts so the model can cite or decline – give it an explicit escape hatch like “say I don’t know if the answer isn’t in the provided context.” Pair this with the evaluation techniques in the testing docs to measure hallucination rates systematically.

Reduce Latency

Mon, 01 Jan 0001 00:00:00 +0000

Latency optimization directly impacts user experience and cost in production Claude deployments. This guide walks through techniques like prompt length reduction, streaming, model selection trade-offs, and caching strategies that can cut response times significantly. Start with the quick wins – enabling streaming and trimming unnecessary context from prompts – before moving to architectural changes like prompt caching. Be aware that some latency reduction techniques (such as using smaller models or shorter prompts) trade off against output quality, so always measure both metrics together.

Reduce Prompt Leak

Mon, 01 Jan 0001 00:00:00 +0000

Prompt leakage is one of the most common security concerns in production LLM applications, and this guide provides concrete techniques for preventing Claude from revealing system prompts to end users. Focus on the layered defense approach — no single technique is sufficient, so you need to combine prompt structure, output filtering, and behavioral instructions. A frequent mistake is relying solely on “do not reveal your instructions” directives, which are trivially bypassed by indirect extraction attacks. Read this alongside the general guardrails documentation to build a comprehensive safety posture before shipping user-facing agents.

Reducing Memory Usage

Mon, 01 Jan 0001 00:00:00 +0000

Reference

Mon, 01 Jan 0001 00:00:00 +0000

Reference

Mon, 01 Jan 0001 00:00:00 +0000

Reference

Mon, 01 Jan 0001 00:00:00 +0000

Reference

Mon, 01 Jan 0001 00:00:00 +0000

Reference

Mon, 01 Jan 0001 00:00:00 +0000

Reference

Mon, 01 Jan 0001 00:00:00 +0000

Reference

Mon, 01 Jan 0001 00:00:00 +0000

Reference

Mon, 01 Jan 0001 00:00:00 +0000

Reference an artifact version with aliases

Mon, 01 Jan 0001 00:00:00 +0000

Reference Architecture

Mon, 01 Jan 0001 00:00:00 +0000

W&B Reference Architecture

Reference architectures

Mon, 01 Jan 0001 00:00:00 +0000

Reference overview

Mon, 01 Jan 0001 00:00:00 +0000

Generated documentation for W&B APIs

Regions

Mon, 01 Jan 0001 00:00:00 +0000

Fireworks runs a global fleet of hardware on which you can deploy your models.

Regions FAQ

Mon, 01 Jan 0001 00:00:00 +0000

Reinforcement fine-tuning

Mon, 01 Jan 0001 00:00:00 +0000

Train models using reward-based signals for expert-level domain performance — going beyond supervised fine-tuning when you can grade quality but can’t easily provide gold outputs.

Reinforcement fine-tuning use cases

Mon, 01 Jan 0001 00:00:00 +0000

Practical use cases and best practices for reinforcement fine-tuning (RFT) — when graded rewards outperform simple input/output pairs for training signal.

Reject Concurrent

Mon, 01 Jan 0001 00:00:00 +0000

Release notes

Mon, 01 Jan 0001 00:00:00 +0000

Track SDK changes, migration notes, and deprecations.

Release Notes

Mon, 01 Jan 0001 00:00:00 +0000

Release policy

Mon, 01 Jan 0001 00:00:00 +0000

Release policy

Mon, 01 Jan 0001 00:00:00 +0000

Release versions

Mon, 01 Jan 0001 00:00:00 +0000

Reliability and Error Handling

Mon, 01 Jan 0001 00:00:00 +0000

Recommended patterns for timeouts, retries, and error handling when building production applications on the Fireworks API.

Remote Agent Quickstart

Mon, 01 Jan 0001 00:00:00 +0000

Train an SVG drawing agent running in a remote environment

Remote Environment Setup

Mon, 01 Jan 0001 00:00:00 +0000

Implement the /init endpoint to run evaluations in your infrastructure

Remote Mcp Servers

Mon, 01 Jan 0001 00:00:00 +0000

Remote MCP servers let you host tool endpoints that Claude connects to over the network, enabling shared infrastructure across teams and persistent service integrations. Pay close attention to the authentication and transport sections — remote servers use SSE or streamable HTTP rather than stdio, which changes how you handle connection lifecycle and error recovery. A frequent gotcha is failing to implement proper OAuth or token refresh flows, causing silent tool failures mid-conversation. This guide pairs well with the MCP Connector docs to compare Anthropic-hosted versus self-hosted approaches to serving tools.

Remote MCP servers

Mon, 01 Jan 0001 00:00:00 +0000

Connect Agent Builder to popular remote MCP servers

Remote MCP servers

Mon, 01 Jan 0001 00:00:00 +0000

Connect Fleet to popular remote MCP servers

RemoteGraph

Mon, 01 Jan 0001 00:00:00 +0000

Remove a metadata field from a record

Mon, 01 Jan 0001 00:00:00 +0000

REPL

Mon, 01 Jan 0001 00:00:00 +0000

Use the interactive runner to prototype agents and inspect execution step by step.

Replay Tasks from Latest Crew Kickoff

Mon, 01 Jan 0001 00:00:00 +0000

Replay tasks from the latest crew.kickoff(…)

Report Evaluators

Mon, 01 Jan 0001 00:00:00 +0000

Repository on GitHub

Mon, 01 Jan 0001 00:00:00 +0000

Source code, issues, and contribution guidelines for the SDK.

Reproduce experiments

Mon, 01 Jan 0001 00:00:00 +0000

Rerank

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to improve the relevance of your search and RAG systems with reranking.

Rerank results

Mon, 01 Jan 0001 00:00:00 +0000

Improve the quality of results with reranking.

Reranking - Cohere on Azure AI Foundry

Mon, 01 Jan 0001 00:00:00 +0000

A guide for performing reranking with Cohere’s Reranking models on Azure AI Foundry (API v2).

Reranking - quickstart

Mon, 01 Jan 0001 00:00:00 +0000

A quickstart guide for performing reranking with Cohere’s Reranking models (v2 API).

Reserved capacity

Mon, 01 Jan 0001 00:00:00 +0000

Resources

Mon, 01 Jan 0001 00:00:00 +0000

Resources are how MCP servers expose data to the model without requiring the model to “call” anything – think of them as files or documents the application can pull into context. The key distinction from tools is that resources are application-controlled (the host decides when to read them), while tools are model-controlled (the model decides when to invoke them). Pay attention to the URI-based addressing scheme, which lets clients discover and subscribe to resource updates. If your use case is primarily about providing context rather than performing actions, resources are usually the better primitive.

Response Relevancy

Mon, 01 Jan 0001 00:00:00 +0000

Responses API

Mon, 01 Jan 0001 00:00:00 +0000

Restore a pod-based index

Mon, 01 Jan 0001 00:00:00 +0000

Restore pod-based indexes from collections

Restore an index

Mon, 01 Jan 0001 00:00:00 +0000

Restore serverless indexes from backup snapshots.

Restrictions on index names

Mon, 01 Jan 0001 00:00:00 +0000

Results

Mon, 01 Jan 0001 00:00:00 +0000

Inspect agent outputs, tool calls, follow-up actions, and metadata returned by the runner.

Results and state

Mon, 01 Jan 0001 00:00:00 +0000

Learn which result surfaces matter most in the OpenAI Agents SDK and how they connect to resumable workflow state.

Resume a run

Mon, 01 Jan 0001 00:00:00 +0000

Resume a paused or exited W&B Run

Resume Agents

Mon, 01 Jan 0001 00:00:00 +0000

Retrieval

Mon, 01 Jan 0001 00:00:00 +0000

Retrieval

Mon, 01 Jan 0001 00:00:00 +0000

LangChain’s retrieval guide covers the foundational abstractions for document loading, splitting, embedding, and querying that underpin every RAG application built on the framework. Understanding the Retriever interface is critical because it is the common contract that vector stores, BM25 indexes, and custom retrieval strategies all implement. Focus on how retrievers compose with chains and agents, since the retrieval step is often the performance bottleneck in production RAG pipelines. Read this before the RAG-specific guide to ensure you understand the building blocks before seeing them assembled into a full application.

Retrieval

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to search your data using semantic similarity with the OpenAI API.

Retrieval Augmented Generation (RAG)

Mon, 01 Jan 0001 00:00:00 +0000

Guide on using Cohere’s Retrieval Augmented Generation (RAG) capabilities such as document grounding and citations.

Retrieval augmented generation (RAG) - Cohere on Azure AI Foundry

Mon, 01 Jan 0001 00:00:00 +0000

A guide for performing retrieval augmented generation (RAG) with Cohere’s Command models on Azure AI Foundry (API v2).

Retrieval augmented generation (RAG) - quickstart

Mon, 01 Jan 0001 00:00:00 +0000

A quickstart guide for performing retrieval augmented generation (RAG) with Cohere’s Command models (v2 API).

Retrieval evaluation using LLM-as-a-judge via Pydantic AI

Mon, 01 Jan 0001 00:00:00 +0000

This page contains a tutorial on how to evaluate retrieval systems using LLMs as judges via Pydantic AI.

Retrieval-Augmented Generation (RAG)

Mon, 01 Jan 0001 00:00:00 +0000

Retrieve a single item.

Mon, 01 Jan 0001 00:00:00 +0000

Retrieve context snippets

Mon, 01 Jan 0001 00:00:00 +0000

Access relevant context and citations from Pinecone Assistant.

Retry Strategies

Mon, 01 Jan 0001 00:00:00 +0000

Retrying

Mon, 01 Jan 0001 00:00:00 +0000

Return all vectors in an index

Mon, 01 Jan 0001 00:00:00 +0000

Review items in an annotation queue

Mon, 01 Jan 0001 00:00:00 +0000

Evaluate trace items and submit structured feedback using a simplified review interface.

Reward Functions

Mon, 01 Jan 0001 00:00:00 +0000

Reward Modeling

Mon, 01 Jan 0001 00:00:00 +0000

Rewind a run

Mon, 01 Jan 0001 00:00:00 +0000

Rewind a run to correct or modify its history without losing original data.

Rewind sessions

Mon, 01 Jan 0001 00:00:00 +0000

RFT parameters reference

Mon, 01 Jan 0001 00:00:00 +0000

Checkpoint, resume, and GRPO metrics fields for reinforcement fine-tuning recipes.

RL for Multi-Hop Research

Mon, 01 Jan 0001 00:00:00 +0000

RL for Privacy-Conscious Delegation

Mon, 01 Jan 0001 00:00:00 +0000

RL Rollouts with Your Own Trainer

Mon, 01 Jan 0001 00:00:00 +0000

Integrate an external RL trainer with Fireworks inference: hot-load new checkpoints from your bucket and run rollouts via the OpenAI-compatible API.

RLOO Trainer

Mon, 01 Jan 0001 00:00:00 +0000

Roadmap

Mon, 01 Jan 0001 00:00:00 +0000

Our plans for evolving Agent User Interaction Protocol

Roadmap

Mon, 01 Jan 0001 00:00:00 +0000

Our plans for evolving Model Context Protocol

Roboflow

Mon, 01 Jan 0001 00:00:00 +0000

Role-based access control

Mon, 01 Jan 0001 00:00:00 +0000

Role-Based Access Control (RBAC)

Mon, 01 Jan 0001 00:00:00 +0000

Control access to crews, tools, and data with roles, scopes, and granular permissions.

Roles & Permissions (RBAC)

Mon, 01 Jan 0001 00:00:00 +0000

Understand Organization and Project role-based access control (RBAC) including Admin and Member roles and what each can do across the Together platform

Rollback Concurrent

Mon, 01 Jan 0001 00:00:00 +0000

Roots

Mon, 01 Jan 0001 00:00:00 +0000

Router

Mon, 01 Jan 0001 00:00:00 +0000

Router

Mon, 01 Jan 0001 00:00:00 +0000

Routers

Mon, 01 Jan 0001 00:00:00 +0000

Distribute traffic across multiple deployments for A/B testing, traffic migration, and load distribution.

Routing Queries to Data Sources

Mon, 01 Jan 0001 00:00:00 +0000

Build an agentic RAG system that routes queries to the most relevant tools based on the query’s nature.

Rubric-Based Evaluation

Mon, 01 Jan 0001 00:00:00 +0000

Run (span) data format

Mon, 01 Jan 0001 00:00:00 +0000

Run a Chroma Server

Mon, 01 Jan 0001 00:00:00 +0000

Run a Chroma server locally using the CLI.

Run a LangGraph app locally

Mon, 01 Jan 0001 00:00:00 +0000

Run a local server

Mon, 01 Jan 0001 00:00:00 +0000

Run a local server

Mon, 01 Jan 0001 00:00:00 +0000

Run an evaluation from the Playground

Mon, 01 Jan 0001 00:00:00 +0000

Run an evaluation from the prompt playground

Mon, 01 Jan 0001 00:00:00 +0000

Run an evaluation with multimodal content

Mon, 01 Jan 0001 00:00:00 +0000

Run backtests on a new version of an agent

Mon, 01 Jan 0001 00:00:00 +0000

Run Claude Code programmatically

Mon, 01 Jan 0001 00:00:00 +0000

Use the Agent SDK to run Claude Code programmatically from the CLI, Python, or TypeScript.

Run Config

Mon, 01 Jan 0001 00:00:00 +0000

Run prompts on a schedule

Mon, 01 Jan 0001 00:00:00 +0000

Use /loop and the cron scheduling tools to run prompts repeatedly, poll for status, or set one-time reminders within a Claude Code session.

Run states

Mon, 01 Jan 0001 00:00:00 +0000

Learn about the different states a W&B run can have.

Run support queries against ClickHouse

Mon, 01 Jan 0001 00:00:00 +0000

Run support queries against PostgreSQL

Mon, 01 Jan 0001 00:00:00 +0000

Run your first experiment

Mon, 01 Jan 0001 00:00:00 +0000

Running agents

Mon, 01 Jan 0001 00:00:00 +0000

Learn synchronous, asynchronous, and batched execution, plus cancellation and error handling.

Running agents

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to run agents, stream output, and choose the right conversation-state strategy in the OpenAI Agents SDK.

Running Chroma in Client-Server Mode

Mon, 01 Jan 0001 00:00:00 +0000

Runs

Mon, 01 Jan 0001 00:00:00 +0000

An overview of runs in Agent Server, including how to kick off background runs, stateless runs, and cancel runs.

Runtime

Mon, 01 Jan 0001 00:00:00 +0000

Runtime

Mon, 01 Jan 0001 00:00:00 +0000

Runtime Config

Mon, 01 Jan 0001 00:00:00 +0000

Rust

Mon, 01 Jan 0001 00:00:00 +0000

S3 Reader Tool

Mon, 01 Jan 0001 00:00:00 +0000

The ‘S3ReaderTool’ enables CrewAI agents to read files from Amazon S3 buckets.

S3 Sync

Mon, 01 Jan 0001 00:00:00 +0000

Sync files from Amazon S3 into Chroma Cloud.

S3 Writer Tool

Mon, 01 Jan 0001 00:00:00 +0000

The ‘S3WriterTool’ enables CrewAI agents to write content to files in Amazon S3 buckets.

Safetensors

Mon, 01 Jan 0001 00:00:00 +0000

Safety and Security for AI Agents

Mon, 01 Jan 0001 00:00:00 +0000

Safety best practices

Mon, 01 Jan 0001 00:00:00 +0000

Comprehensive safety practices for responsible AI deployment — covering moderation, adversarial testing, human oversight, prompt engineering for safety, and production monitoring.

Safety in building agents

Mon, 01 Jan 0001 00:00:00 +0000

Minimize prompt injections and other risks in agent workflows — covering input validation, tool call authorization, and sandboxing strategies specific to agentic systems.

Safety Modes

Mon, 01 Jan 0001 00:00:00 +0000

The safety modes documentation describes how to use default and strict modes in order to exercise additional control over model output.

Salesforce Integration

Mon, 01 Jan 0001 00:00:00 +0000

CRM and sales automation with Salesforce integration for CrewAI.

Salesforce Trigger

Mon, 01 Jan 0001 00:00:00 +0000

Trigger CrewAI crews from Salesforce workflows for CRM automation

SambaNova

Mon, 01 Jan 0001 00:00:00 +0000

Sample apps

Mon, 01 Jan 0001 00:00:00 +0000

Sample Apps

Mon, 01 Jan 0001 00:00:00 +0000

Install and run Chroma sample applications.

Sample Methods

Mon, 01 Jan 0001 00:00:00 +0000

Comprehensive examples of protocol methods and responses

Sample Methods

Mon, 01 Jan 0001 00:00:00 +0000

Comprehensive examples

Sampling

Mon, 01 Jan 0001 00:00:00 +0000

Sampling is the mechanism that allows an MCP server to request LLM completions through the client, effectively enabling servers to leverage AI capabilities without embedding their own model access. This is one of the most powerful and least intuitive parts of the MCP specification because it inverts the typical client-server relationship. Pay careful attention to the human-in-the-loop requirements, since the spec mandates that clients must obtain user approval before fulfilling sampling requests, which has significant UX implications. If you are building agentic MCP servers that need to reason or generate text, understanding this capability is essential.

Sampling

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to adjust LLM sampling parameters like Temperature, Top P, and penalties for better output control

Sandbox

Mon, 01 Jan 0001 00:00:00 +0000

Build an IDE-like UI for a coding agent backed by a sandbox environment

Sandbox

Mon, 01 Jan 0001 00:00:00 +0000

Build an IDE-like UI for a coding agent backed by a sandbox environment

Sandbox Agents

Mon, 01 Jan 0001 00:00:00 +0000

Learn how sandboxes fit into Agents SDK workflows, when to use them, and how orchestration stays separate from execution.

Sandbox auth proxy

Mon, 01 Jan 0001 00:00:00 +0000

Inject credentials into outbound API requests from sandboxes without hardcoding secrets.

Sandbox SDK usage

Mon, 01 Jan 0001 00:00:00 +0000

Create and manage sandboxes programmatically with the Python or TypeScript SDK.

Sandbox templates

Mon, 01 Jan 0001 00:00:00 +0000

Define container images, resource limits, and configuration for sandboxes using templates.

Sandbox warm pools

Mon, 01 Jan 0001 00:00:00 +0000

Pre-provision sandboxes for faster execution with automatic replenishment.

Sandboxes

Mon, 01 Jan 0001 00:00:00 +0000

Execute code in isolated environments with sandbox backends

Sandboxes

Mon, 01 Jan 0001 00:00:00 +0000

Execute code in isolated environments with sandbox backends

Sandboxes overview

Mon, 01 Jan 0001 00:00:00 +0000

Use managed sandboxes to safely execute code and interact with the filesystem in isolated environments.

Sandboxing

Mon, 01 Jan 0001 00:00:00 +0000

Learn how Claude Code’s sandboxed bash tool provides filesystem and network isolation for safer, more autonomous agent execution.

Save and diff code

Mon, 01 Jan 0001 00:00:00 +0000

Saving and Loading

Mon, 01 Jan 0001 00:00:00 +0000

Saving and Loading

Mon, 01 Jan 0001 00:00:00 +0000

SDK-level reference for checkpoint save, load, weight sync, and promotion.

Scalability & resilience

Mon, 01 Jan 0001 00:00:00 +0000

Scale pod-based indexes

Mon, 01 Jan 0001 00:00:00 +0000

Scale indexes vertically or horizontally as needed

Scatter plots

Mon, 01 Jan 0001 00:00:00 +0000

Schedule recurring tasks in Claude Code Desktop

Mon, 01 Jan 0001 00:00:00 +0000

Set up scheduled tasks in Claude Code Desktop to run Claude automatically on a recurring basis for daily code reviews, dependency audits, or morning briefings.

Schedule tasks on the web

Mon, 01 Jan 0001 00:00:00 +0000

Automate recurring work with cloud scheduled tasks

Schedules

Mon, 01 Jan 0001 00:00:00 +0000

Configure schedules to run your Fleet agents on a recurring basis.

Schema

Mon, 01 Jan 0001 00:00:00 +0000

Schema

Mon, 01 Jan 0001 00:00:00 +0000

Schema Basics

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to create and use Schema to configure indexes on your Chroma collections.

Schema Overview

Mon, 01 Jan 0001 00:00:00 +0000

Schema Reference

Mon, 01 Jan 0001 00:00:00 +0000

Scorers As Guardrails

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use scorers as guardrails with W&B Weave

Scoring Overview

Mon, 01 Jan 0001 00:00:00 +0000

Evaluate AI outputs and return evaluation metrics with Weave Scorers

Scrape Element From Website Tool

Mon, 01 Jan 0001 00:00:00 +0000

The ‘ScrapeElementFromWebsiteTool’ enables CrewAI agents to extract specific elements from websites using CSS selectors.

Scrape Website

Mon, 01 Jan 0001 00:00:00 +0000

The ‘ScrapeWebsiteTool’ is designed to extract and read the content of a specified website.

Scrapegraph Scrape Tool

Mon, 01 Jan 0001 00:00:00 +0000

The ‘ScrapegraphScrapeTool’ leverages Scrapegraph AI’s SmartScraper API to intelligently extract content from websites.

Scrapfly Scrape Website Tool

Mon, 01 Jan 0001 00:00:00 +0000

The ‘ScrapflyScrapeWebsiteTool’ leverages Scrapfly’s web scraping API to extract content from websites in various formats.

Scripts Utilities

Mon, 01 Jan 0001 00:00:00 +0000

SDFT

Mon, 01 Jan 0001 00:00:00 +0000

SDK Clients

Mon, 01 Jan 0001 00:00:00 +0000

Official Python & TypeScript SDKs and community clients for Mistral AI

SDK Tiering System

Mon, 01 Jan 0001 00:00:00 +0000

Feature completeness, protocol support, and maintenance commitment levels for Model Context Protocol SDKs

SDKs

Mon, 01 Jan 0001 00:00:00 +0000

Official SDKs for building with Model Context Protocol

SDPO

Mon, 01 Jan 0001 00:00:00 +0000

Search

Mon, 01 Jan 0001 00:00:00 +0000

Search

Mon, 01 Jan 0001 00:00:00 +0000

Reference guide for Search dictionary syntax used in Chroma.

Search

Mon, 01 Jan 0001 00:00:00 +0000

Search API Overview

Mon, 01 Jan 0001 00:00:00 +0000

Search Assistants

Mon, 01 Jan 0001 00:00:00 +0000

Search for assistants.

Search Basics

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to construct and use the Search class for querying your Chroma collections.

Search Crons

Mon, 01 Jan 0001 00:00:00 +0000

Search all active crons

Search or list items within a namespace prefix.

Mon, 01 Jan 0001 00:00:00 +0000

Lists items ordered by last updated time. If a ‘query’ is provided, performs a natural language search instead. Supports pagination via ’limit’ and ‘offset’, and filtering via ‘filter’.

Search overview

Mon, 01 Jan 0001 00:00:00 +0000

Explore semantic, lexical, and hybrid search options.

Search Results

Mon, 01 Jan 0001 00:00:00 +0000

Search runs

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to search for specific runs by name or ID in your project’s Runs table or Workspace.

Search Threads

Mon, 01 Jan 0001 00:00:00 +0000

Search for threads.

Secure Deployment

Mon, 01 Jan 0001 00:00:00 +0000

This guide becomes essential the moment you move an agent from local development to any shared or production environment. Focus on the sections covering input sanitization and output validation, as prompt injection through user-supplied content is the most common attack vector for deployed agents. Be aware that securing an agent is different from securing a traditional API – you must account for the model’s ability to chain tool calls in unexpected ways, so defense-in-depth with both permission restrictions and monitoring is necessary. Read this in conjunction with the permissions guide, as the two together form a complete security strategy.

Secure MCP Tunnel

Mon, 01 Jan 0001 00:00:00 +0000

Connect private or on-prem MCP servers to supported OpenAI products with an outbound-only MCP tunnel, without exposing them to the public internet.

Secure Training (BYOB)

Mon, 01 Jan 0001 00:00:00 +0000

Fine-tune models while keeping sensitive data and components under your control

Security

Mon, 01 Jan 0001 00:00:00 +0000

Learn about Claude Code’s security safeguards and best practices for safe usage.

Security Best Practices

Mon, 01 Jan 0001 00:00:00 +0000

Security considerations, attack vectors, and best practices for MCP implementations

Security overview

Mon, 01 Jan 0001 00:00:00 +0000

Understand Pinecone’s security features, including authentication, encryption, and audit logs.

Security overview

Mon, 01 Jan 0001 00:00:00 +0000

Understand Pinecone’s security features, including authentication, encryption, and audit logs.

Security policy

Mon, 01 Jan 0001 00:00:00 +0000

Security policy

Mon, 01 Jan 0001 00:00:00 +0000

Selenium Scraper

Mon, 01 Jan 0001 00:00:00 +0000

The ‘SeleniumScrapingTool’ is designed to extract and read the content of a specified website using Selenium.

Self-deployment

Mon, 01 Jan 0001 00:00:00 +0000

Deploy Mistral AI models on your infrastructure using vLLM, TensorRT-LLM, TGI, or tools like SkyPilot and Cerebrium

Self-host LangSmith on Kubernetes

Mon, 01 Jan 0001 00:00:00 +0000

Self-host LangSmith with Docker

Mon, 01 Jan 0001 00:00:00 +0000

Self-host standalone servers

Mon, 01 Jan 0001 00:00:00 +0000

Self-hosted

Mon, 01 Jan 0001 00:00:00 +0000

Self-hosted LangSmith

Mon, 01 Jan 0001 00:00:00 +0000

Self-hosted LangSmith changelog

Mon, 01 Jan 0001 00:00:00 +0000

Self-hosted LangSmith on AWS

Mon, 01 Jan 0001 00:00:00 +0000

Self-hosted LangSmith on Azure

Mon, 01 Jan 0001 00:00:00 +0000

Self-hosted LangSmith on GCP

Mon, 01 Jan 0001 00:00:00 +0000

Self-Managed infrastructure requirements

Mon, 01 Jan 0001 00:00:00 +0000

Infrastructure and software requirements for W&B Self-Managed deployments

Semantic run plot legends

Mon, 01 Jan 0001 00:00:00 +0000

Create semantic legends for charts

Semantic search

Mon, 01 Jan 0001 00:00:00 +0000

Find semantically similar records using dense vectors.

Semantic search - Cohere on Azure AI Foundry

Mon, 01 Jan 0001 00:00:00 +0000

A guide for performing text semantic search with Cohere’s Embed models on Azure AI Foundry (API v2).

Semantic search - quickstart

Mon, 01 Jan 0001 00:00:00 +0000

A quickstart guide for performing text semantic search with Cohere’s Embed models (v2 API).

Semantic Search with Cohere Embed Jobs

Mon, 01 Jan 0001 00:00:00 +0000

This page contains a basic tutorial on how to use Cohere’s Embed Jobs functionality.

Semantic Search with Cohere Models

Mon, 01 Jan 0001 00:00:00 +0000

This is a tutorial describing how to leverage Cohere’s models for semantic search.

Semantic Search with Embeddings

Mon, 01 Jan 0001 00:00:00 +0000

Examples on how to use the Embed endpoint to perform semantic search (API v2).

Semantic Similarity

Mon, 01 Jan 0001 00:00:00 +0000

Semantic Validation

Mon, 01 Jan 0001 00:00:00 +0000

Send an alert

Mon, 01 Jan 0001 00:00:00 +0000

Send alerts, triggered from your Python code, to your Slack or email

Send OpenTelemetry Traces to Weave

Mon, 01 Jan 0001 00:00:00 +0000

Ingest OpenTelemetry compatible trace data through a dedicated endpoint

Sending and returning files with GPT Actions

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to send and return files using GPT Actions in the OpenAI API.

Sentence Transformer

Mon, 01 Jan 0001 00:00:00 +0000

SEP Guidelines

Mon, 01 Jan 0001 00:00:00 +0000

Specification Enhancement Proposal (SEP) guidelines for proposing changes to the Model Context Protocol

SEP-1024: MCP Client Security Requirements for Local Server Installation

Mon, 01 Jan 0001 00:00:00 +0000

MCP Client Security Requirements for Local Server Installation

SEP-1024: MCP Client Security Requirements for Local Server Installation

Mon, 01 Jan 0001 00:00:00 +0000

MCP Client Security Requirements for Local Server Installation

SEP-1034: Support default values for all primitive types in elicitation schemas

Mon, 01 Jan 0001 00:00:00 +0000

Support default values for all primitive types in elicitation schemas

SEP-1034: Support default values for all primitive types in elicitation schemas

Mon, 01 Jan 0001 00:00:00 +0000

Support default values for all primitive types in elicitation schemas

SEP-1036: URL Mode Elicitation for secure out-of-band interactions

Mon, 01 Jan 0001 00:00:00 +0000

URL Mode Elicitation for secure out-of-band interactions

SEP-1036: URL Mode Elicitation for secure out-of-band interactions

Mon, 01 Jan 0001 00:00:00 +0000

URL Mode Elicitation for secure out-of-band interactions

SEP-1046: Support OAuth client credentials flow in authorization

Mon, 01 Jan 0001 00:00:00 +0000

Support OAuth client credentials flow in authorization

SEP-1046: Support OAuth client credentials flow in authorization

Mon, 01 Jan 0001 00:00:00 +0000

Support OAuth client credentials flow in authorization

SEP-1302: Formalize Working Groups and Interest Groups in MCP Governance

Mon, 01 Jan 0001 00:00:00 +0000

Formalize Working Groups and Interest Groups in MCP Governance

SEP-1302: Formalize Working Groups and Interest Groups in MCP Governance

Mon, 01 Jan 0001 00:00:00 +0000

Formalize Working Groups and Interest Groups in MCP Governance

SEP-1303: Input Validation Errors as Tool Execution Errors

Mon, 01 Jan 0001 00:00:00 +0000

Input Validation Errors as Tool Execution Errors

SEP-1303: Input Validation Errors as Tool Execution Errors

Mon, 01 Jan 0001 00:00:00 +0000

Input Validation Errors as Tool Execution Errors

SEP-1319: Decouple Request Payload from RPC Methods Definition

Mon, 01 Jan 0001 00:00:00 +0000

Decouple Request Payload from RPC Methods Definition

SEP-1319: Decouple Request Payload from RPC Methods Definition

Mon, 01 Jan 0001 00:00:00 +0000

Decouple Request Payload from RPC Methods Definition

SEP-1330: Elicitation Enum Schema Improvements and Standards Compliance

Mon, 01 Jan 0001 00:00:00 +0000

Elicitation Enum Schema Improvements and Standards Compliance

SEP-1330: Elicitation Enum Schema Improvements and Standards Compliance

Mon, 01 Jan 0001 00:00:00 +0000

Elicitation Enum Schema Improvements and Standards Compliance

SEP-1577: Sampling With Tools

Mon, 01 Jan 0001 00:00:00 +0000

Sampling With Tools

SEP-1577: Sampling With Tools

Mon, 01 Jan 0001 00:00:00 +0000

Sampling With Tools

SEP-1613: Establish JSON Schema 2020-12 as Default Dialect for MCP

Mon, 01 Jan 0001 00:00:00 +0000

Establish JSON Schema 2020-12 as Default Dialect for MCP

SEP-1613: Establish JSON Schema 2020-12 as Default Dialect for MCP

Mon, 01 Jan 0001 00:00:00 +0000

Establish JSON Schema 2020-12 as Default Dialect for MCP

SEP-1686: Tasks

Mon, 01 Jan 0001 00:00:00 +0000

Tasks

SEP-1686: Tasks

Mon, 01 Jan 0001 00:00:00 +0000

Tasks

SEP-1699: Support SSE polling via server-side disconnect

Mon, 01 Jan 0001 00:00:00 +0000

Support SSE polling via server-side disconnect

SEP-1699: Support SSE polling via server-side disconnect

Mon, 01 Jan 0001 00:00:00 +0000

Support SSE polling via server-side disconnect

SEP-1730: SDKs Tiering System

Mon, 01 Jan 0001 00:00:00 +0000

SDKs Tiering System

SEP-1730: SDKs Tiering System

Mon, 01 Jan 0001 00:00:00 +0000

SDKs Tiering System

SEP-1850: PR-Based SEP Workflow

Mon, 01 Jan 0001 00:00:00 +0000

PR-Based SEP Workflow

SEP-1850: PR-Based SEP Workflow

Mon, 01 Jan 0001 00:00:00 +0000

PR-Based SEP Workflow

SEP-1865: MCP Apps - Interactive User Interfaces for MCP

Mon, 01 Jan 0001 00:00:00 +0000

MCP Apps - Interactive User Interfaces for MCP

SEP-1865: MCP Apps - Interactive User Interfaces for MCP

Mon, 01 Jan 0001 00:00:00 +0000

MCP Apps - Interactive User Interfaces for MCP

SEP-2085: Governance Succession and Amendment Procedures

Mon, 01 Jan 0001 00:00:00 +0000

Governance Succession and Amendment Procedures

SEP-2085: Governance Succession and Amendment Procedures

Mon, 01 Jan 0001 00:00:00 +0000

Governance Succession and Amendment Procedures

SEP-2133: Extensions

Mon, 01 Jan 0001 00:00:00 +0000

Extensions

SEP-2133: Extensions

Mon, 01 Jan 0001 00:00:00 +0000

Extensions

SEP-2148: MCP Contributor Ladder

Mon, 01 Jan 0001 00:00:00 +0000

MCP Contributor Ladder

SEP-2149: MCP Group Governance and Charter Template

Mon, 01 Jan 0001 00:00:00 +0000

MCP Group Governance and Charter Template

SEP-2207: OIDC-Flavored Refresh Token Guidance

Mon, 01 Jan 0001 00:00:00 +0000

OIDC-Flavored Refresh Token Guidance

SEP-2260: Require Server requests to be associated with a Client request.

Mon, 01 Jan 0001 00:00:00 +0000

Require Server requests to be associated with a Client request.

SEP-414: Document OpenTelemetry Trace Context Propagation Conventions

Mon, 01 Jan 0001 00:00:00 +0000

Document OpenTelemetry Trace Context Propagation Conventions

SEP-414: Document OpenTelemetry Trace Context Propagation Conventions

Mon, 01 Jan 0001 00:00:00 +0000

Document OpenTelemetry Trace Context Propagation Conventions

SEP-932: Model Context Protocol Governance

Mon, 01 Jan 0001 00:00:00 +0000

Model Context Protocol Governance

SEP-932: Model Context Protocol Governance

Mon, 01 Jan 0001 00:00:00 +0000

Model Context Protocol Governance

SEP-973: Expose additional metadata for Implementations, Resources, Tools and Prompts

Mon, 01 Jan 0001 00:00:00 +0000

Expose additional metadata for Implementations, Resources, Tools and Prompts

SEP-973: Expose additional metadata for Implementations, Resources, Tools and Prompts

Mon, 01 Jan 0001 00:00:00 +0000

Expose additional metadata for Implementations, Resources, Tools and Prompts

SEP-985: Align OAuth 2.0 Protected Resource Metadata with RFC 9728

Mon, 01 Jan 0001 00:00:00 +0000

Align OAuth 2.0 Protected Resource Metadata with RFC 9728

SEP-985: Align OAuth 2.0 Protected Resource Metadata with RFC 9728

Mon, 01 Jan 0001 00:00:00 +0000

Align OAuth 2.0 Protected Resource Metadata with RFC 9728

SEP-986: Specify Format for Tool Names

Mon, 01 Jan 0001 00:00:00 +0000

Specify Format for Tool Names

SEP-986: Specify Format for Tool Names

Mon, 01 Jan 0001 00:00:00 +0000

Specify Format for Tool Names

SEP-990: Enable enterprise IdP policy controls during MCP OAuth flows

Mon, 01 Jan 0001 00:00:00 +0000

Enable enterprise IdP policy controls during MCP OAuth flows

SEP-990: Enable enterprise IdP policy controls during MCP OAuth flows

Mon, 01 Jan 0001 00:00:00 +0000

Enable enterprise IdP policy controls during MCP OAuth flows

SEP-991: Enable URL-based Client Registration using OAuth Client ID Metadata Documents

Mon, 01 Jan 0001 00:00:00 +0000

Enable URL-based Client Registration using OAuth Client ID Metadata Documents

SEP-991: Enable URL-based Client Registration using OAuth Client ID Metadata Documents

Mon, 01 Jan 0001 00:00:00 +0000

Enable URL-based Client Registration using OAuth Client ID Metadata Documents

SEP-994: Shared Communication Practices/Guidelines

Mon, 01 Jan 0001 00:00:00 +0000

Shared Communication Practices/Guidelines

SEP-994: Shared Communication Practices/Guidelines

Mon, 01 Jan 0001 00:00:00 +0000

Shared Communication Practices/Guidelines

Sequential agents

Mon, 01 Jan 0001 00:00:00 +0000

Sequential Processes

Mon, 01 Jan 0001 00:00:00 +0000

A comprehensive guide to utilizing the sequential processes for task execution in CrewAI projects.

Sequential Workflow

Mon, 01 Jan 0001 00:00:00 +0000

Coordinating a chain of LLM calls to solve a complex task.

Serialization

Mon, 01 Jan 0001 00:00:00 +0000

Serialize event streams for history restore, branching, and compaction in AG-UI

SerpApi Google Search Tool

Mon, 01 Jan 0001 00:00:00 +0000

The ‘SerpApiGoogleSearchTool’ performs Google searches using the SerpApi service.

SerpApi Google Shopping Tool

Mon, 01 Jan 0001 00:00:00 +0000

The ‘SerpApiGoogleShoppingTool’ searches Google Shopping results using SerpApi.

Server

Mon, 01 Jan 0001 00:00:00 +0000

Implement AG-UI compatible servers

Server

Mon, 01 Jan 0001 00:00:00 +0000

Server Card Charter

Mon, 01 Jan 0001 00:00:00 +0000

Charter for the MCP Server Card Working Group.

Server Information

Mon, 01 Jan 0001 00:00:00 +0000

Get server version information, feature flags, and metadata.

Server Tools

Mon, 01 Jan 0001 00:00:00 +0000

Serverless index connection errors

Mon, 01 Jan 0001 00:00:00 +0000

Serverless index creation error - max serverless indexes

Mon, 01 Jan 0001 00:00:00 +0000

Serverless Models

Mon, 01 Jan 0001 00:00:00 +0000

Serverless Overview

Mon, 01 Jan 0001 00:00:00 +0000

How Serverless inference works on Fireworks: serving paths, billing, request/response headers, prompt caching, model lifecycle, and when to choose Serverless over On-demand

Serverless Pricing

Mon, 01 Jan 0001 00:00:00 +0000

Per-token serverless pricing for text, vision, and embedding models, including Priority and Fast serving paths

Serverless Quickstart

Mon, 01 Jan 0001 00:00:00 +0000

Make your first Serverless API call in minutes

Serverless Rate Limits

Mon, 01 Jan 0001 00:00:00 +0000

Adaptive rate limits grow and shrink with your usage

Serverless Semantic Search with Cohere and Pinecone

Mon, 01 Jan 0001 00:00:00 +0000

This page contains a basic tutorial on how to get Cohere and the Pinecone vector database to work well together.

Serverless Serving Paths

Mon, 01 Jan 0001 00:00:00 +0000

Standard, Priority, and Fast serving paths on Fireworks Serverless

Service Tiers

Mon, 01 Jan 0001 00:00:00 +0000

Session: Tracking Individual Conversations

Mon, 01 Jan 0001 00:00:00 +0000

Sessions

Mon, 01 Jan 0001 00:00:00 +0000

Sessions

Mon, 01 Jan 0001 00:00:00 +0000

Manage stateful conversations with automatic history persistence and memory controls.

Set a sampling rate for traces

Mon, 01 Jan 0001 00:00:00 +0000

Set Call display name

Mon, 01 Jan 0001 00:00:00 +0000

Set or override the display name for a Call in W&B Weave tracing

Set Latest Assistant Version

Mon, 01 Jan 0001 00:00:00 +0000

Set the latest version for an assistant.

Set up a self-managed W&B Weave instance

Mon, 01 Jan 0001 00:00:00 +0000

Deploy and manage Weave on your own infrastructure

Set up Agent Auth (Beta)

Mon, 01 Jan 0001 00:00:00 +0000

Enable secure access from agents to any system using OAuth 2.0 credentials with Agent Auth.

Set up annotation queues

Mon, 01 Jan 0001 00:00:00 +0000

Create annotation queues, route traces to domain experts, and export structured feedback.

Set up automation rules

Mon, 01 Jan 0001 00:00:00 +0000

Set up automations

Mon, 01 Jan 0001 00:00:00 +0000

Create event-driven automations that trigger actions based on monitor metrics and trace activity.

Set up composite online evaluators

Mon, 01 Jan 0001 00:00:00 +0000

Set up custom authentication

Mon, 01 Jan 0001 00:00:00 +0000

Set up feedback criteria

Mon, 01 Jan 0001 00:00:00 +0000

Set up guardrails

Mon, 01 Jan 0001 00:00:00 +0000

Ensure LLM safety and measure output quality in production applications

Set up hierarchy

Mon, 01 Jan 0001 00:00:00 +0000

Set up hybrid LangSmith

Mon, 01 Jan 0001 00:00:00 +0000

Set up LangSmith

Mon, 01 Jan 0001 00:00:00 +0000

Set up LLM-as-a-judge online evaluators

Mon, 01 Jan 0001 00:00:00 +0000

Set up monitors

Mon, 01 Jan 0001 00:00:00 +0000

Passively score production traffic to surface trends and issues

Set up multi-turn online evaluators

Mon, 01 Jan 0001 00:00:00 +0000

Set up online code evaluators

Mon, 01 Jan 0001 00:00:00 +0000

Set up resource tags

Mon, 01 Jan 0001 00:00:00 +0000

Set up SSO with OAuth2.0 and OIDC

Mon, 01 Jan 0001 00:00:00 +0000

Set up the LLM auth proxy

Mon, 01 Jan 0001 00:00:00 +0000

Deploy an Envoy-based auth proxy that validates LangSmith-signed JWTs and routes LLM requests to your upstream provider or gateway.

Setup

Mon, 01 Jan 0001 00:00:00 +0000

SFT Trainer

Mon, 01 Jan 0001 00:00:00 +0000

Supervised fine-tuning is the simplest and most common way to adapt a model to your data, and the SFTTrainer is where most TRL users begin. Pay close attention to dataset format: it accepts both language-modeling and prompt-completion shapes and auto-applies the chat template for conversational data, so mismatched formats are the most common source of silent quality loss. Two gotchas worth remembering are that completion-only loss is on by default for prompt-completion datasets, and that training adapters via PEFT usually wants a higher learning rate near 1e-4. Read the TRL overview first, and pair this with the PEFT LoRA guide when you train adapters.

Share or unshare a trace publicly

Mon, 01 Jan 0001 00:00:00 +0000

Shell

Mon, 01 Jan 0001 00:00:00 +0000

Run shell commands in hosted containers or your own local runtime.

Shopify Integration

Mon, 01 Jan 0001 00:00:00 +0000

E-commerce and online store management with Shopify integration for CrewAI.

Short-term memory

Mon, 01 Jan 0001 00:00:00 +0000

Short-term memory

Mon, 01 Jan 0001 00:00:00 +0000

Short-Term Memory Handling for Agents

Mon, 01 Jan 0001 00:00:00 +0000

This page describes how to manage short-term memory in an agent built with Cohere models.

Signal handling and sweep runs

Mon, 01 Jan 0001 00:00:00 +0000

Learn how W&B Sweeps handle UNIX signals, exit codes, and preemption in sweep runs.

Signatures

Mon, 01 Jan 0001 00:00:00 +0000

Simple Validation

Mon, 01 Jan 0001 00:00:00 +0000

Single Sign-On (SSO)

Mon, 01 Jan 0001 00:00:00 +0000

Configure enterprise SSO authentication for CrewAI Platform — SaaS and Factory

Single Sign-On (SSO)

Mon, 01 Jan 0001 00:00:00 +0000

Single-hop Query Testset

Mon, 01 Jan 0001 00:00:00 +0000

Single-Node Performance

Mon, 01 Jan 0001 00:00:00 +0000

Single-node Chroma performance benchmarks and limitations.

Single-Turn Training Quickstart

Mon, 01 Jan 0001 00:00:00 +0000

Train a model to be an expert at answering GSM8K math questions

SingleStore Search Tool

Mon, 01 Jan 0001 00:00:00 +0000

The ‘SingleStoreSearchTool’ safely executes SELECT/SHOW queries on SingleStore with pooling.

Skills

Mon, 01 Jan 0001 00:00:00 +0000

Skills in the Agent SDK are the primary abstraction for packaging reusable capabilities that agents can invoke — think of them as higher-level building blocks above raw tool definitions. Focus on how skill registration exposes capabilities to the agent runtime and how the SDK handles skill discovery, parameter validation, and result formatting. A subtle but important detail is how skill descriptions influence the model’s decision to invoke them; poorly written descriptions lead to unreliable skill selection. Read this reference alongside the agent-skills quickstart and best practices guides for the full picture from concept to production-ready implementation.

Skills

Mon, 01 Jan 0001 00:00:00 +0000

Filesystem-based skill packages that inject domain expertise and instructions into agent prompts.

Skills

Mon, 01 Jan 0001 00:00:00 +0000

Use skills to give your agents access to specific capabilities.

Skills

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to extend your deep agent’s capabilities with skills

Skills

Mon, 01 Jan 0001 00:00:00 +0000

Skills

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to extend your deep agent’s capabilities with skills

Skills

Mon, 01 Jan 0001 00:00:00 +0000

Skills

Mon, 01 Jan 0001 00:00:00 +0000

Upload, manage, and attach reusable skills to hosted environments.

Skills for ADK agents

Mon, 01 Jan 0001 00:00:00 +0000

Skills Guide

Mon, 01 Jan 0001 00:00:00 +0000

Skills are a powerful abstraction for packaging reusable capabilities that Claude can invoke within IDE integrations and agent workflows. This guide walks through defining, registering, and composing skills so your agent can dispatch specialized behaviors without bloating the system prompt. Pay close attention to how skill discovery works at runtime, since misconfigurations here silently degrade agent performance rather than producing obvious errors. Read this alongside the Agent Skills overview doc to understand the full lifecycle from definition to invocation.

Slack Integration

Mon, 01 Jan 0001 00:00:00 +0000

Team communication and collaboration with Slack integration for CrewAI.

Slack Lead Qualifier with Modal

Mon, 01 Jan 0001 00:00:00 +0000

Slack Trigger

Mon, 01 Jan 0001 00:00:00 +0000

Trigger CrewAI crews directly from Slack using slash commands

Slash Commands

Mon, 01 Jan 0001 00:00:00 +0000

Slurm Configuration

Mon, 01 Jan 0001 00:00:00 +0000

Customize Slurm cluster settings to match your workload requirements

Slurm Management System

Mon, 01 Jan 0001 00:00:00 +0000

Smolagents

Mon, 01 Jan 0001 00:00:00 +0000

Track and analyze Smolagents agentic applications with Weave’s automatic tracing, capturing tool calls, model inferences, and multi-step workflows across OpenAI, Hugging Face, and Anthropic LLM providers.

Smooth line plots

Mon, 01 Jan 0001 00:00:00 +0000

In line plots, use smoothing to see trends in noisy data.

Snowflake

Mon, 01 Jan 0001 00:00:00 +0000

Snowflake Cortex

Mon, 01 Jan 0001 00:00:00 +0000

Access Mistral AI models on Snowflake Cortex as serverless, fully managed endpoints for SQL & Python

Snowflake Search Tool

Mon, 01 Jan 0001 00:00:00 +0000

The ‘SnowflakeSearchTool’ enables CrewAI agents to execute SQL queries and perform semantic search on Snowflake data warehouses.

Soft prompts

Mon, 01 Jan 0001 00:00:00 +0000

Span-Based

Mon, 01 Jan 0001 00:00:00 +0000

Spark-Pinecone connector

Mon, 01 Jan 0001 00:00:00 +0000

Sparse Vector Search Setup

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to configure and use sparse vectors for keyword-based search, and combine them with dense embeddings for powerful hybrid search capabilities.

Speaker Selection Strategies

Mon, 01 Jan 0001 00:00:00 +0000

Speaker selection determines which agent speaks next in a GroupChat: round-robin, random, manual, or auto-selection based on agent descriptions and conversation context.

Specification

Mon, 01 Jan 0001 00:00:00 +0000

Complete A2A protocol specifications

Specification

Mon, 01 Jan 0001 00:00:00 +0000

Specification Enhancement Proposals (SEPs)

Mon, 01 Jan 0001 00:00:00 +0000

Index of all MCP Specification Enhancement Proposals

Specification Enhancement Proposals (SEPs)

Mon, 01 Jan 0001 00:00:00 +0000

Index of all MCP Specification Enhancement Proposals

Specify a custom run ID

Mon, 01 Jan 0001 00:00:00 +0000

How to specify a custom run ID when tracing with LangSmith.

Speculative Decoding

Mon, 01 Jan 0001 00:00:00 +0000

Speed up generation with draft models and n-gram speculation

Speech to text

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to turn audio into text with the OpenAI API.

Speech-to-Text

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to transcribe and translate audio into text!

Speed Comparison

Mon, 01 Jan 0001 00:00:00 +0000

Speed up responses with fast mode

Mon, 01 Jan 0001 00:00:00 +0000

Get faster Opus 4.6 responses in Claude Code by toggling fast mode.

Speeding Up Training

Mon, 01 Jan 0001 00:00:00 +0000

Spider Scraper

Mon, 01 Jan 0001 00:00:00 +0000

The ‘SpiderTool’ is designed to extract and read the content of a specified website using Spider.

Sprocket SDK

Mon, 01 Jan 0001 00:00:00 +0000

A Python SDK for building inference workers that support both synchronous and asynchronous requests via Together’s platform.

SQL

Mon, 01 Jan 0001 00:00:00 +0000

SQL Agent with Cohere and LangChain (i-5O Case Study)

Mon, 01 Jan 0001 00:00:00 +0000

This page contains a tutorial on how to build a SQL agent with Cohere and LangChain in the manufacturing industry.

SQL Generation

Mon, 01 Jan 0001 00:00:00 +0000

SSD

Mon, 01 Jan 0001 00:00:00 +0000

SSE Transport

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to connect CrewAI to remote MCP servers using Server-Sent Events (SSE) for real-time communication.

Stagehand Tool

Mon, 01 Jan 0001 00:00:00 +0000

Web automation tool that integrates Stagehand with CrewAI for browser interaction and automation

Standard deployment

Mon, 01 Jan 0001 00:00:00 +0000

Standard trial

Mon, 01 Jan 0001 00:00:00 +0000

Get $300 credits for 21 days with the Standard plan trial.

Start a sweep agent

Mon, 01 Jan 0001 00:00:00 +0000

Start or stop a W&B Sweep Agent on one or more machines.

State

Mon, 01 Jan 0001 00:00:00 +0000

State Management

Mon, 01 Jan 0001 00:00:00 +0000

Understanding state synchronization between agents and frontends in AG-UI

Stateless runs

Mon, 01 Jan 0001 00:00:00 +0000

Stdio Transport

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to connect CrewAI to local MCP servers using the Stdio (Standard Input/Output) transport mechanism.

Steps

Mon, 01 Jan 0001 00:00:00 +0000

Stop Reasons

Mon, 01 Jan 0001 00:00:00 +0000

Stop runs

Mon, 01 Jan 0001 00:00:00 +0000

Stop runs programmatically using the W&B Python SDK or manually from the W&B App.

Store and track versions of prompts

Mon, 01 Jan 0001 00:00:00 +0000

Retrieve and manage versions of your prompts for LLM applications

Store and track versions of prompts

Mon, 01 Jan 0001 00:00:00 +0000

Store, organize, and track versions of your prompts for LLM applications

Store or update an item.

Mon, 01 Jan 0001 00:00:00 +0000

Strategic LLM Selection Guide

Mon, 01 Jan 0001 00:00:00 +0000

Strategic framework for choosing the right LLM for your CrewAI AI agents and writing effective task and agent definitions

Stream Compaction

Mon, 01 Jan 0001 00:00:00 +0000

compactEvents utility for reducing verbose streaming sequences

Stream Iterable

Mon, 01 Jan 0001 00:00:00 +0000

Stream markdown

Mon, 01 Jan 0001 00:00:00 +0000

Stream Partial

Mon, 01 Jan 0001 00:00:00 +0000

Stream whales

Mon, 01 Jan 0001 00:00:00 +0000

Streamable HTTP Transport

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to connect CrewAI to remote MCP servers using the flexible Streamable HTTP transport.

Streaming

Mon, 01 Jan 0001 00:00:00 +0000

Streaming

Mon, 01 Jan 0001 00:00:00 +0000

Streaming

Mon, 01 Jan 0001 00:00:00 +0000

Streaming in LangGraph operates at multiple levels – token-level streaming from the LLM, node-level events as the graph executes, and custom event emission – and understanding which level to use for your application is critical for responsive UX. The most common pitfall is subscribing to token streams when you actually need node-level events, which floods the client with data it cannot usefully render. Pay attention to how streaming interacts with tool calls and conditional edges, since intermediate nodes may emit partial results that should not be shown to users. Read the workflows-and-agents guide first to understand graph execution flow before layering streaming on top.

Streaming

Mon, 01 Jan 0001 00:00:00 +0000

Stream intermediate tool usage and LLM responses for responsive UIs.

Streaming API

Mon, 01 Jan 0001 00:00:00 +0000

Streaming API responses

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to stream model responses from the OpenAI API using server-sent events.

Streaming for tool use (function calling)

Mon, 01 Jan 0001 00:00:00 +0000

Guide on implementing streaming for tool use in Cohere’s platform and details on the events stream (API v2).

Streaming Output

Mon, 01 Jan 0001 00:00:00 +0000

This guide dives into the practical implementation details of consuming streamed agent output, which is distinct from the higher-level decision of whether to use streaming at all (covered in the streaming vs. single mode guide). Focus on the event types emitted during a stream, particularly the distinction between text delta events and tool-use events, since your UI rendering logic needs to handle both gracefully. Watch out for the connection drop scenario – if a stream disconnects mid-response, you need a strategy for resuming or restarting the agent turn. Understanding the event structure here is also essential if you plan to build custom frontends or integrate with frameworks like AG-UI.

Streaming Tools

Mon, 01 Jan 0001 00:00:00 +0000

Streaming Vs Single Mode

Mon, 01 Jan 0001 00:00:00 +0000

This guide addresses a fundamental architectural decision you will face early in any agent project. Single-turn mode is simpler to implement and debug because you get a complete response at once, making error handling straightforward and retry logic clean. Streaming mode provides real-time token-by-token output that is essential for user-facing applications where perceived latency matters, but it introduces complexity around partial results and connection management. Start with single-turn mode during development and prototyping, then migrate to streaming when you need production-quality user experience.

Streamlit

Mon, 01 Jan 0001 00:00:00 +0000

StreamNative

Mon, 01 Jan 0001 00:00:00 +0000

Strict Tool Use

Mon, 01 Jan 0001 00:00:00 +0000

Stripe Integration

Mon, 01 Jan 0001 00:00:00 +0000

Payment processing and subscription management with Stripe integration for CrewAI.

Structured model outputs

Mon, 01 Jan 0001 00:00:00 +0000

Understand how to ensure model responses follow specific JSON Schema you define.

Structured output

Mon, 01 Jan 0001 00:00:00 +0000

Render structured agent responses with custom UI components instead of plain text

Structured output

Mon, 01 Jan 0001 00:00:00 +0000

Structured output

Mon, 01 Jan 0001 00:00:00 +0000

Render structured agent responses with custom UI components instead of plain text

Structured output

Mon, 01 Jan 0001 00:00:00 +0000

Structured Output

Mon, 01 Jan 0001 00:00:00 +0000

Learn to generate structured outputs like JSON for LLM agents and pipelines, with custom and flexible formatting options

Structured Outputs

Mon, 01 Jan 0001 00:00:00 +0000

Structured outputs let you constrain agent responses to conform to a specific schema, which is essential for building reliable pipelines where downstream code depends on predictable JSON shapes. Focus on how schema definitions interact with the agent loop — the SDK validates output at the framework level rather than relying on prompt engineering alone. A key gotcha is that overly complex schemas can increase latency and reduce output quality, so start with flat structures and add nesting only when needed. Compare this approach with OpenAI’s structured outputs to understand the tradeoffs in schema expressiveness and enforcement guarantees.

Structured Outputs

Mon, 01 Jan 0001 00:00:00 +0000

Enforce output formats using JSON schemas or custom grammars

Structured Outputs

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use JSON mode to get structured outputs from LLMs like DeepSeek V3 & Llama 3.3.

Structured Outputs for LLMs

Mon, 01 Jan 0001 00:00:00 +0000

Introduction to structured outputs with LLMs

Studio troubleshooting

Mon, 01 Jan 0001 00:00:00 +0000

Subagent streaming

Mon, 01 Jan 0001 00:00:00 +0000

Display specialist subagents with streaming content, progress tracking, and collapsible cards

Subagent streaming

Mon, 01 Jan 0001 00:00:00 +0000

Display specialist subagents with streaming content, progress tracking, and collapsible cards

Subagents

Mon, 01 Jan 0001 00:00:00 +0000

Subagents enable multi-agent architectures where a parent agent delegates specialized tasks to child agents with their own instructions, tools, and models. Unlike the OpenAI Agents SDK handoffs pattern, which transfers control entirely to another agent, the Anthropic subagent model uses delegation semantics where the parent retains control and receives the subagent’s result. Focus on how context is passed between parent and child agents, since over-sharing context inflates token costs while under-sharing causes the subagent to lack necessary information. This is a key building block for complex workflows – read this after understanding single-agent patterns and before designing multi-agent systems.

Subagents

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use subagents to delegate work and keep context clean

Subagents

Mon, 01 Jan 0001 00:00:00 +0000

Subagents

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use subagents to delegate work and keep context clean

Subagents

Mon, 01 Jan 0001 00:00:00 +0000

Subgraphs

Mon, 01 Jan 0001 00:00:00 +0000

Subgraphs

Mon, 01 Jan 0001 00:00:00 +0000

Summarization

Mon, 01 Jan 0001 00:00:00 +0000

Summarizing Text with the Chat Endpoint

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to perform text summarization using Cohere’s Chat endpoint with features like length control and RAG.

Supervised Fine Tuning - Text

Mon, 01 Jan 0001 00:00:00 +0000

Supervised Fine Tuning - Vision

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to fine-tune vision-language models on Fireworks AI with image and text datasets

Supervised fine-tuning

Mon, 01 Jan 0001 00:00:00 +0000

Fine-tune OpenAI models with input/output pairs — covering data preparation, training configuration, validation, and deployment of customized models.

Support

Mon, 01 Jan 0001 00:00:00 +0000

Support

Mon, 01 Jan 0001 00:00:00 +0000

Support: Inference

Mon, 01 Jan 0001 00:00:00 +0000

Support: Models

Mon, 01 Jan 0001 00:00:00 +0000

Support: Weave

Mon, 01 Jan 0001 00:00:00 +0000

Supported countries and territories

Mon, 01 Jan 0001 00:00:00 +0000

Countries and territories that currently support access to our API services.

Supported Dedicated Cloud regions

Mon, 01 Jan 0001 00:00:00 +0000

View all supported AWS, Google Cloud, and Azure regions available for W&B Dedicated Cloud instances.

Supported Dedicated Cloud regions

Mon, 01 Jan 0001 00:00:00 +0000

Supported Models

Mon, 01 Jan 0001 00:00:00 +0000

Supported models for Evaluations

Supported Models

Mon, 01 Jan 0001 00:00:00 +0000

A list of all the models available for fine-tuning.

Supported Regions

Mon, 01 Jan 0001 00:00:00 +0000

Swarm

Mon, 01 Jan 0001 00:00:00 +0000

Sweep configuration options

Mon, 01 Jan 0001 00:00:00 +0000

Sweeps troubleshooting

Mon, 01 Jan 0001 00:00:00 +0000

Troubleshoot common W&B Sweep issues.

Sweeps UI

Mon, 01 Jan 0001 00:00:00 +0000

Describes the different components of the Sweeps UI.

Swift

Mon, 01 Jan 0001 00:00:00 +0000

sync.openapi

Mon, 01 Jan 0001 00:00:00 +0000

Synthesizer Generate From Contexts

Mon, 01 Jan 0001 00:00:00 +0000

Synthesizer Generate From Docs

Mon, 01 Jan 0001 00:00:00 +0000

Synthesizer Generate From Goldens

Mon, 01 Jan 0001 00:00:00 +0000

Synthesizer Generate From Scratch

Mon, 01 Jan 0001 00:00:00 +0000

Synthetic Data Generation Introduction

Mon, 01 Jan 0001 00:00:00 +0000

System Check

Mon, 01 Jan 0001 00:00:00 +0000

Check health of all system components.

System Metrics

Mon, 01 Jan 0001 00:00:00 +0000

Get system metrics in Prometheus or JSON format for monitoring and observability.

Systematic Prompt Optimization

Mon, 01 Jan 0001 00:00:00 +0000

Target an index

Mon, 01 Jan 0001 00:00:00 +0000

Target an index by host or name for data operations such as upsert and query.

Tasks

Mon, 01 Jan 0001 00:00:00 +0000

Tasks

Mon, 01 Jan 0001 00:00:00 +0000

Detailed guide on managing and creating tasks within the CrewAI framework.

Tavily Extractor Tool

Mon, 01 Jan 0001 00:00:00 +0000

Extract structured content from web pages using the Tavily API

Tavily Search Tool

Mon, 01 Jan 0001 00:00:00 +0000

Perform comprehensive web searches using the Tavily Search API

tcloud

Mon, 01 Jan 0001 00:00:00 +0000

Team Management

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to invite and manage team members in your CrewAI AMP organization

Team settings

Mon, 01 Jan 0001 00:00:00 +0000

Collaborate with your colleagues, share results, and track all the experiments across your team. Manage team settings including members, alerts, and privacy.

Technical Overview

Mon, 01 Jan 0001 00:00:00 +0000

Telemetry

Mon, 01 Jan 0001 00:00:00 +0000

Understanding the telemetry data collected by CrewAI and how it contributes to the enhancement of the library.

Templates

Mon, 01 Jan 0001 00:00:00 +0000

Start faster with curated Agent Builder templates and customize tools, prompts, and triggers.

Templates

Mon, 01 Jan 0001 00:00:00 +0000

Start faster with curated Fleet templates and customize tools, prompts, and channels.

Templating

Mon, 01 Jan 0001 00:00:00 +0000

Temporal

Mon, 01 Jan 0001 00:00:00 +0000

TensorFlow

Mon, 01 Jan 0001 00:00:00 +0000

TensorRT

Mon, 01 Jan 0001 00:00:00 +0000

Guide to building and deploying TensorRT-LLM engines with Triton inference server

Terminate Session

Mon, 01 Jan 0001 00:00:00 +0000

Implemented according to the Streamable HTTP Transport specification.

Terraform

Mon, 01 Jan 0001 00:00:00 +0000

Test

Mon, 01 Jan 0001 00:00:00 +0000

Strategies for testing LangChain agents, including unit tests, integration tests, and trajectory evaluations.

Test

Mon, 01 Jan 0001 00:00:00 +0000

Test

Mon, 01 Jan 0001 00:00:00 +0000

Strategies for testing LangChain agents, including unit tests, integration tests, and trajectory evaluations.

Test

Mon, 01 Jan 0001 00:00:00 +0000

Test a ReAct agent with Pytest/Vitest and LangSmith

Mon, 01 Jan 0001 00:00:00 +0000

Test Agent Card

Mon, 01 Jan 0001 00:00:00 +0000

Online tool to validate if a domain supports the A2A protocol and visualize agent card information. Enter any URL to check for A2A protocol support and parse the agent.json file.

Test deployed agents

Mon, 01 Jan 0001 00:00:00 +0000

Test multi-turn conversations

Mon, 01 Jan 0001 00:00:00 +0000

Test Pinecone at scale

Mon, 01 Jan 0001 00:00:00 +0000

Test Pinecone with a real-world dataset and semantic search workload.

Testing

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to test your CrewAI Crew and evaluate their performance.

Testing

Mon, 01 Jan 0001 00:00:00 +0000

Testset Generation

Mon, 01 Jan 0001 00:00:00 +0000

Testset Generation for Agents or Tool use cases

Mon, 01 Jan 0001 00:00:00 +0000

Testset Generation for RAG

Mon, 01 Jan 0001 00:00:00 +0000

Testset Generation for RAG

Mon, 01 Jan 0001 00:00:00 +0000

Text & Vision Fine-tuning

Mon, 01 Jan 0001 00:00:00 +0000

Fine-tune Mistral’s text and vision models with custom datasets in JSONL format for domain-specific or conversational improvements

Text and Chat Completions

Mon, 01 Jan 0001 00:00:00 +0000

Mistral models enable chat and text completions with customizable prompts, roles, and streaming options

Text Classification Using Embeddings

Mon, 01 Jan 0001 00:00:00 +0000

This page discusses the creation of a text classification model using word vector embeddings.

Text Editor Tool

Mon, 01 Jan 0001 00:00:00 +0000

The text editor tool gives Claude the ability to view, create, and edit files through structured operations like insert, replace, and undo, making it central to coding agent implementations. Unlike having Claude output code in a message for you to copy, this tool enables autonomous multi-step file modifications within an agentic loop. Focus on understanding the exact replacement semantics, since the tool requires unique string matches for edits and will fail if the target string appears multiple times. This tool works best when combined with the bash tool for running tests after edits, forming the core edit-verify cycle that coding agents depend on.

Text Embeddings

Mon, 01 Jan 0001 00:00:00 +0000

Generate and use text embeddings with Mistral AI’s API for NLP tasks like similarity, classification, and retrieval

Text generation

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use the OpenAI API to generate text from a prompt. Learn about message types and available text formats like JSON and Structured Outputs.

Text generation - Cohere on Azure AI Foundry

Mon, 01 Jan 0001 00:00:00 +0000

A guide for performing text generation with Cohere’s Command models on Azure AI Foundry (API v2).

Text generation - quickstart

Mon, 01 Jan 0001 00:00:00 +0000

A quickstart guide for performing text generation with Cohere’s Command models (v2 API).

Text Generation Inference

Mon, 01 Jan 0001 00:00:00 +0000

TGI is a toolkit for deploying and serving LLMs with high-performance text generation features like quantization and OpenAI-like API support

Text Models

Mon, 01 Jan 0001 00:00:00 +0000

Query, track and manage inference for text models

Text to speech

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to turn text into lifelike spoken audio with the OpenAI API.

Text-to-Speech

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use the text-to-speech functionality supported by Together AI.

Text-to-SQL Evaluation Quickstart

Mon, 01 Jan 0001 00:00:00 +0000

Text2Vec

Mon, 01 Jan 0001 00:00:00 +0000

The Cohere Datasets API (and How to Use It)

Mon, 01 Jan 0001 00:00:00 +0000

Learn about the Dataset API, including its file size limits, data retention, creation, validation, metadata, and more, with provided code snippets.

The Cookbook

Mon, 01 Jan 0001 00:00:00 +0000

Ready-to-run training recipes for GRPO, DPO, SFT, and distillation built on top of the Training API.

The MCP Registry

Mon, 01 Jan 0001 00:00:00 +0000

This is the starting point for understanding the MCP registry, the centralized discovery layer that lets host applications find and install MCP servers by name. The registry is what turns MCP from a protocol into an ecosystem, so grasping its design goals and trust model is important before publishing or consuming servers. Read this overview first, then move to authentication and package types for the operational details. If you are evaluating whether to publish your MCP server publicly or keep it private, this page covers the discoverability and governance tradeoffs.

The MCP Registry Moderation Policy

Mon, 01 Jan 0001 00:00:00 +0000

Theming and customization in ChatKit

Mon, 01 Jan 0001 00:00:00 +0000

Configure colors, typography, density, and component variants in your ChatKit implementation.

Thinking

Mon, 01 Jan 0001 00:00:00 +0000

Thinking in LangGraph

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to think about building agents with LangGraph

Thinking in LangGraph

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to think about building agents with LangGraph

Thinking Mode

Mon, 01 Jan 0001 00:00:00 +0000

Thinking Mode Api Example Non Streaming

Mon, 01 Jan 0001 00:00:00 +0000

Thinking Mode Api Example Streaming

Mon, 01 Jan 0001 00:00:00 +0000

Third-Party Tools

Mon, 01 Jan 0001 00:00:00 +0000

Ticket Routing

Mon, 01 Jan 0001 00:00:00 +0000

Using Claude to automatically classify and route support tickets to the right team based on content analysis.

Time travel

Mon, 01 Jan 0001 00:00:00 +0000

Inspect, navigate, and resume from any checkpoint in the conversation history

Time travel

Mon, 01 Jan 0001 00:00:00 +0000

Inspect, navigate, and resume from any checkpoint in the conversation history

Time travel using the server API

Mon, 01 Jan 0001 00:00:00 +0000

Todo list

Mon, 01 Jan 0001 00:00:00 +0000

Track agent progress with a real-time todo list synced from agent state

Todo list

Mon, 01 Jan 0001 00:00:00 +0000

Track agent progress with a real-time todo list synced from agent state

Todo Tracking

Mon, 01 Jan 0001 00:00:00 +0000

Together

Mon, 01 Jan 0001 00:00:00 +0000

Together AI

Mon, 01 Jan 0001 00:00:00 +0000

Together AI

Mon, 01 Jan 0001 00:00:00 +0000

Track and evaluate Together AI’s open source LLMs using Weave’s OpenAI SDK compatibility for seamless integration with model calls, fine-tuning workflows, and hosted models.

Together AI MCP Server

Mon, 01 Jan 0001 00:00:00 +0000

Install our MCP server in Cursor, Claude Code, or OpenCode in 1 click.

Together AI Skills

Mon, 01 Jan 0001 00:00:00 +0000

Give your AI coding agent deep knowledge of the Together AI platform with ready-made skills for inference, training, images, video, audio, and infrastructure.

Together Code Interpreter

Mon, 01 Jan 0001 00:00:00 +0000

Execute LLM-generated code seamlessly with a simple API call.

Together Code Sandbox

Mon, 01 Jan 0001 00:00:00 +0000

Level-up generative code tooling with fast, secure code sandboxes at scale

Together Cookbooks & Example Apps

Mon, 01 Jan 0001 00:00:00 +0000

Explore our vast library of open-source cookbooks & example apps

Together Mixture Of Agents (MoA)

Mon, 01 Jan 0001 00:00:00 +0000

Together's IAM Model

Mon, 01 Jan 0001 00:00:00 +0000

Token Counting

Mon, 01 Jan 0001 00:00:00 +0000

The token-counting endpoint matters for cost control because it lets you measure exactly how many input tokens a request will consume before you send it, which is essential for budgeting and for staying under context limits. Pay attention to the fact that counts include the system prompt, tools, and images, not just the visible message text — an easy-to-miss source of surprise spend. Use it to validate prompt-caching savings and to size batches safely. Unlike OpenAI’s client-side tiktoken approach, Anthropic exposes counting as an API call that reflects the exact tokenizer the model uses.

Token Usage

Mon, 01 Jan 0001 00:00:00 +0000

Tokenization

Mon, 01 Jan 0001 00:00:00 +0000

Learn about Mistral AI’s tokenization process, including subword tokenization, control tokens, and Python implementation for LLMs

Tonic Validate

Mon, 01 Jan 0001 00:00:00 +0000

Tool Call Hooks

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use tool call hooks to intercept, modify, and control tool execution in CrewAI

Tool calling

Mon, 01 Jan 0001 00:00:00 +0000

Display agent tool calls with rich, type-safe UI cards

Tool calling

Mon, 01 Jan 0001 00:00:00 +0000

Display agent tool calls with rich, type-safe UI cards

Tool Calling

Mon, 01 Jan 0001 00:00:00 +0000

Connect models to external tools and APIs

Tool Calls

Mon, 01 Jan 0001 00:00:00 +0000

Tool Combinations

Mon, 01 Jan 0001 00:00:00 +0000

Tool integrations

Mon, 01 Jan 0001 00:00:00 +0000

Give your agents access to a wide range of tools and services.

Tool integrations

Mon, 01 Jan 0001 00:00:00 +0000

Give your agents access to a wide range of tools and services.

Tool limitations

Mon, 01 Jan 0001 00:00:00 +0000

Tool performance

Mon, 01 Jan 0001 00:00:00 +0000

Tool Reference

Mon, 01 Jan 0001 00:00:00 +0000

Tool Repository

Mon, 01 Jan 0001 00:00:00 +0000

Using the Tool Repository to manage your tools

Tool Runner

Mon, 01 Jan 0001 00:00:00 +0000

Tool search

Mon, 01 Jan 0001 00:00:00 +0000

Use tool search to defer large tool surfaces, group related tools with namespaces, and load only the relevant functions at runtime.

Tool Search

Mon, 01 Jan 0001 00:00:00 +0000

Tool Search Tool

Mon, 01 Jan 0001 00:00:00 +0000

The tool search tool enables deferred tool loading, allowing agents with large tool catalogs to discover and activate tools on demand rather than loading everything into context upfront. This is critical for agents that integrate many MCP servers or have hundreds of available tools, since stuffing all tool definitions into the system prompt degrades model performance and wastes tokens. Pay attention to the query semantics: keyword search returns ranked matches while direct selection loads a specific tool by name. Architect your agent so that commonly used tools are always loaded and niche tools are deferred behind search to keep context windows lean.

Tool use & agents - Cohere on Azure AI Foundry

Mon, 01 Jan 0001 00:00:00 +0000

A guide for using tool use and building agents with Cohere’s Command models on Azure AI Foundry (API v2).

Tool use & agents - quickstart

Mon, 01 Jan 0001 00:00:00 +0000

A quickstart guide for using tool use and building agents with Cohere’s Command models (v2 API).

Tool Use With Prompt Caching

Mon, 01 Jan 0001 00:00:00 +0000

Tools

Mon, 01 Jan 0001 00:00:00 +0000

Understanding tools and how they enable human-in-the-loop AI workflows

Tools

Mon, 01 Jan 0001 00:00:00 +0000

Tools are the most commonly used MCP primitive – they let the model invoke server-side functions with structured inputs and receive results. Focus on the JSON Schema-based input validation, which is how the model knows what arguments a tool accepts. A critical detail is that tool calls are model-initiated but require human approval in most host implementations, so design your tool descriptions to be clear enough that users understand what they are approving. Keep tool names concise and descriptions precise, as the model relies heavily on them for deciding when and how to call each tool.

Tools

Mon, 01 Jan 0001 00:00:00 +0000

Understanding and leveraging tools within the CrewAI framework for agent collaboration and task execution.

Tools

Mon, 01 Jan 0001 00:00:00 +0000

Tools

Mon, 01 Jan 0001 00:00:00 +0000

Tools

Mon, 01 Jan 0001 00:00:00 +0000

Tools

Mon, 01 Jan 0001 00:00:00 +0000

Tools & Integrations

Mon, 01 Jan 0001 00:00:00 +0000

Connect external apps and manage internal tools your agents can use.

Tools Overview

Mon, 01 Jan 0001 00:00:00 +0000

Discover CrewAI’s extensive library of 40+ tools to supercharge your AI agents

Tools reference

Mon, 01 Jan 0001 00:00:00 +0000

Complete reference for the tools Claude Code can use, including permission requirements.

Toolsets

Mon, 01 Jan 0001 00:00:00 +0000

Topic Modeling System for AI Papers

Mon, 01 Jan 0001 00:00:00 +0000

This page discusses how to create a topic-modeling system for papers focused on AI papers.

Torch shared tensors

Mon, 01 Jan 0001 00:00:00 +0000

torch.compile

Mon, 01 Jan 0001 00:00:00 +0000

TPO Trainer

Mon, 01 Jan 0001 00:00:00 +0000

Trace Amazon Bedrock applications

Mon, 01 Jan 0001 00:00:00 +0000

Trace an LLM application tutorial

Mon, 01 Jan 0001 00:00:00 +0000

Trace and Evaluate a Computer Vision Pipeline with Weave

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use trace and evaluate a computer vision pipeline with weave with W&B Weave

Trace Anthropic applications

Mon, 01 Jan 0001 00:00:00 +0000

Trace AutoGen applications

Mon, 01 Jan 0001 00:00:00 +0000

Trace Claude Agent SDK applications

Mon, 01 Jan 0001 00:00:00 +0000

Trace Claude Code applications

Mon, 01 Jan 0001 00:00:00 +0000

Trace CrewAI applications

Mon, 01 Jan 0001 00:00:00 +0000

Trace Deep Agents applications

Mon, 01 Jan 0001 00:00:00 +0000

Trace DeepSeek applications

Mon, 01 Jan 0001 00:00:00 +0000

Trace generator functions

Mon, 01 Jan 0001 00:00:00 +0000

Trace generator functions

Mon, 01 Jan 0001 00:00:00 +0000

Track sync and async generator functions with W&B Weave tracing

Trace Google ADK applications

Mon, 01 Jan 0001 00:00:00 +0000

Trace Google Gemini applications

Mon, 01 Jan 0001 00:00:00 +0000

Trace grading

Mon, 01 Jan 0001 00:00:00 +0000

Use trace grading to create datasets, configure graders, and track evaluation runs for your models.

Trace Instructor applications

Mon, 01 Jan 0001 00:00:00 +0000

Trace JS functions in serverless environments

Mon, 01 Jan 0001 00:00:00 +0000

Trace LangChain applications (Python and JS/TS)

Mon, 01 Jan 0001 00:00:00 +0000

Trace LangGraph applications

Mon, 01 Jan 0001 00:00:00 +0000

Trace LiveKit applications

Mon, 01 Jan 0001 00:00:00 +0000

Trace Mastra applications

Mon, 01 Jan 0001 00:00:00 +0000

Trace Microsoft Agent Framework applications

Mon, 01 Jan 0001 00:00:00 +0000

Trace Mistral applications

Mon, 01 Jan 0001 00:00:00 +0000

Trace n8n workflows

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to trace n8n AI workflows in LangSmith.

Trace OpenAI Agents SDK applications

Mon, 01 Jan 0001 00:00:00 +0000

Trace OpenAI applications

Mon, 01 Jan 0001 00:00:00 +0000

Trace Pipecat applications

Mon, 01 Jan 0001 00:00:00 +0000

Trace PydanticAI applications

Mon, 01 Jan 0001 00:00:00 +0000

Trace query syntax

Mon, 01 Jan 0001 00:00:00 +0000

Trace Semantic Kernel applications

Mon, 01 Jan 0001 00:00:00 +0000

Trace Vercel AI SDK applications (JS/TS only)

Mon, 01 Jan 0001 00:00:00 +0000

Trace with API

Mon, 01 Jan 0001 00:00:00 +0000

Trace with OpenTelemetry

Mon, 01 Jan 0001 00:00:00 +0000

Trace with Temporal

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to trace Temporal workflows and activities in LangSmith using OpenTelemetry.

Trace without setting environment variables

Mon, 01 Jan 0001 00:00:00 +0000

Trace your code

Mon, 01 Jan 0001 00:00:00 +0000

Instrument your running code so its execution appears as detailed traces in W&B Weave.

Traceloop

Mon, 01 Jan 0001 00:00:00 +0000

Traces

Mon, 01 Jan 0001 00:00:00 +0000

Using Traces to monitor your Crews

Tracing

Mon, 01 Jan 0001 00:00:00 +0000

Capture spans for every agent step, emit data to OpenAI traces, and integrate third-party processors.

Tracing and logging evaluations with Observability tools

Mon, 01 Jan 0001 00:00:00 +0000

Tracing Basics

Mon, 01 Jan 0001 00:00:00 +0000

Track and monitor your AI application’s execution with Weave tracing

Tracing quickstart

Mon, 01 Jan 0001 00:00:00 +0000

Track and version objects

Mon, 01 Jan 0001 00:00:00 +0000

Track and version any JSON-serializable object in Weave

Track Application Logic

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to track data flow and metadata in your LLM applications

Track application versions with models

Mon, 01 Jan 0001 00:00:00 +0000

Track versions of your application with structured models that combine data and code.

Track costs

Mon, 01 Jan 0001 00:00:00 +0000

Track and manage costs for LLM operations in Weave

Track CSV files with experiments

Mon, 01 Jan 0001 00:00:00 +0000

Importing and logging data into W&B

Track external files

Mon, 01 Jan 0001 00:00:00 +0000

Track files saved in an external bucket, HTTP file server, or an NFS share.

Track Jupyter notebooks

Mon, 01 Jan 0001 00:00:00 +0000

Use W&B with Jupyter to get interactive visualizations without leaving your notebook.

Track team usage with analytics

Mon, 01 Jan 0001 00:00:00 +0000

View Claude Code usage metrics, track adoption, and measure engineering velocity in the analytics dashboard.

Track threads

Mon, 01 Jan 0001 00:00:00 +0000

Track and analyze multi-turn conversations in your LLM applications using threads.

Track user activity with audit logs

Mon, 01 Jan 0001 00:00:00 +0000

Tracking DSPy Optimizers

Mon, 01 Jan 0001 00:00:00 +0000

Trackio Integration

Mon, 01 Jan 0001 00:00:00 +0000

Traditional NLP Metrics

Mon, 01 Jan 0001 00:00:00 +0000

TrainerJobManager (Compatibility)

Mon, 01 Jan 0001 00:00:00 +0000

Legacy SDK reference for service-mode trainer job lifecycle management.

Training

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to train your CrewAI agents by giving them feedback early on and get consistent results.

Training and Sampling

Mon, 01 Jan 0001 00:00:00 +0000

End-to-end SDK walkthrough: bootstrap resources, train, checkpoint, and sample through a serving deployment.

Training customization

Mon, 01 Jan 0001 00:00:00 +0000

Training Guide: UI

Mon, 01 Jan 0001 00:00:00 +0000

Launch RFT jobs using the Fireworks dashboard

Training Overview

Mon, 01 Jan 0001 00:00:00 +0000

Launch RFT jobs using the eval-protocol CLI

Training Overview

Mon, 01 Jan 0001 00:00:00 +0000

This overview frames Fireworks’ three fine-tuning paths — the autonomous Agent, semi-managed Managed Fine-Tuning, and the custom Training API — so it matters as the decision page before you commit compute. The key heuristic it offers is to reach for supervised fine-tuning when you have more than about a thousand quality labeled examples, and to switch to reinforcement fine-tuning for smaller datasets or reasoning-heavy tasks where ground-truth labels do not exist. A common mistake is defaulting to SFT on too little data. This is the Fireworks counterpart to Together AI’s fine-tuning flow; read the quickstart first if you are new to the platform.

Training Prerequisites & Validation

Mon, 01 Jan 0001 00:00:00 +0000

Requirements, validation checks, and common issues when launching RFT jobs

Training Shapes

Mon, 01 Jan 0001 00:00:00 +0000

Pre-configured GPU and model training profiles that simplify distributed training setup.

Training with Jobs

Mon, 01 Jan 0001 00:00:00 +0000

Transports

Mon, 01 Jan 0001 00:00:00 +0000

MCP defines two transport mechanisms: stdio (standard input/output) and HTTP with Server-Sent Events (SSE). For local development and CLI-based servers, stdio is simpler and the right default choice. HTTP+SSE is needed when the server runs remotely or must handle multiple clients. A common gotcha is that the Streamable HTTP transport replaced the older SSE-only transport in the 2025-11-25 spec revision, so be careful not to follow outdated examples that use the previous approach.

Triggers

Mon, 01 Jan 0001 00:00:00 +0000

Configure triggers to start your Agent Builder agents automatically.

Triggers and Events Charter

Mon, 01 Jan 0001 00:00:00 +0000

Charter for the MCP Triggers and Events Working Group.

Triggers Overview

Mon, 01 Jan 0001 00:00:00 +0000

Understand how CrewAI AMP triggers work, how to manage them, and where to find integration-specific playbooks

TRL - Transformers Reinforcement Learning

Mon, 01 Jan 0001 00:00:00 +0000

This overview maps the whole TRL post-training stack — SFT, reward modeling, DPO, PPO, GRPO, and more — so it matters as the decision page for which trainer fits your alignment goal. Focus on the taxonomy of online versus offline methods, since that split drives compute cost and data requirements more than any single hyperparameter. TRL integrates tightly with Transformers and PEFT, so you can train adapters rather than full models. Start here, then go to the SFT trainer, the most common starting point for instruction tuning.

Troubleshoot trace nesting

Mon, 01 Jan 0001 00:00:00 +0000

Troubleshoot variable caching

Mon, 01 Jan 0001 00:00:00 +0000

Troubleshoot Weave issues

Mon, 01 Jan 0001 00:00:00 +0000

Solutions and guidance for common issues you may encounter with Weave

Troubleshooting

Mon, 01 Jan 0001 00:00:00 +0000

Discover solutions to common issues with Claude Code installation and usage.

Troubleshooting

Mon, 01 Jan 0001 00:00:00 +0000

Common issues and solutions when working with Chroma.

Troubleshooting

Mon, 01 Jan 0001 00:00:00 +0000

Troubleshooting

Mon, 01 Jan 0001 00:00:00 +0000

Troubleshooting

Mon, 01 Jan 0001 00:00:00 +0000

Troubleshooting

Mon, 01 Jan 0001 00:00:00 +0000

Troubleshooting for self-hosted deployments

Mon, 01 Jan 0001 00:00:00 +0000

Troubleshooting Tool Use

Mon, 01 Jan 0001 00:00:00 +0000

TrueFoundry

Mon, 01 Jan 0001 00:00:00 +0000

TrueFoundry Integration

Mon, 01 Jan 0001 00:00:00 +0000

TruLens

Mon, 01 Jan 0001 00:00:00 +0000

Using TruLens and Pinecone to evaluate grounded LLM applications

Tutorial Introduction

Mon, 01 Jan 0001 00:00:00 +0000

Tutorial Setup

Mon, 01 Jan 0001 00:00:00 +0000

Tutorial: App versioning

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use Weave Model to track and version your application and its parameters

Tutorial: Create sweep job from project

Mon, 01 Jan 0001 00:00:00 +0000

Tutorial on how to create sweep jobs from a pre-existing W&B project.

Tutorial: Create, track, and use a dataset artifact

Mon, 01 Jan 0001 00:00:00 +0000

Create, track, and use a dataset artifact with W&B.

Tutorial: Define, initialize, and run a sweep

Mon, 01 Jan 0001 00:00:00 +0000

Sweeps quickstart shows how to define, initialize, and run a sweep. There are four main steps

Tutorial: Log tables, visualize and query data

Mon, 01 Jan 0001 00:00:00 +0000

Explore how to use W&B Tables with this 5 minute Quickstart.

Tutorial: Use custom charts

Mon, 01 Jan 0001 00:00:00 +0000

Tutorial of using the custom charts feature in the W&B UI

Tutorials

Mon, 01 Jan 0001 00:00:00 +0000

Tutorials Overview

Mon, 01 Jan 0001 00:00:00 +0000

Twelve Labs

Mon, 01 Jan 0001 00:00:00 +0000

TXT RAG Search

Mon, 01 Jan 0001 00:00:00 +0000

The ‘TXTSearchTool’ is designed to perform a RAG (Retrieval-Augmented Generation) search within the content of a text file.

Type Adapter

Mon, 01 Jan 0001 00:00:00 +0000

TypedDicts

Mon, 01 Jan 0001 00:00:00 +0000

Types

Mon, 01 Jan 0001 00:00:00 +0000

Documentation for the core types used in the Agent User Interaction Protocol SDK

Types

Mon, 01 Jan 0001 00:00:00 +0000

Documentation for the core types used in the Agent User Interaction Protocol Python SDK

Types

Mon, 01 Jan 0001 00:00:00 +0000

Types of callbacks

Mon, 01 Jan 0001 00:00:00 +0000

Typescript

Mon, 01 Jan 0001 00:00:00 +0000

The TypeScript SDK mirrors the Python SDK’s architecture but leverages TypeScript’s type system to provide compile-time safety for agent configurations, tool definitions, and event handlers. If you are choosing between the two language SDKs, note that the Python SDK generally receives feature updates first, but the TypeScript SDK offers stronger typing guarantees that catch configuration errors before runtime. Pay attention to how generics are used for tool input/output types, as properly typing your tools will give you autocompletion and validation throughout your agent code. Read the quickstart guide first for the conceptual model, then use this reference for TypeScript-specific patterns and idioms.

TypeScript

Mon, 01 Jan 0001 00:00:00 +0000

TypeScript Guide

Mon, 01 Jan 0001 00:00:00 +0000

TypeScript implementation guide

TypeScript Library

Mon, 01 Jan 0001 00:00:00 +0000

TypeScript SDK: Third-Party Integration Guide

Mon, 01 Jan 0001 00:00:00 +0000

Integrate third-party libraries with the Weave TypeScript SDK

Typescript V2 Preview

Mon, 01 Jan 0001 00:00:00 +0000

UI Guide

Mon, 01 Jan 0001 00:00:00 +0000

Access W&B Inference models through the web interface

UI Kit Demo

Mon, 01 Jan 0001 00:00:00 +0000

Component demos for the platform docs UI kit.

Unable to pip install

Mon, 01 Jan 0001 00:00:00 +0000

Under 18 API Guidance

Mon, 01 Jan 0001 00:00:00 +0000

This guide outlines OpenAI’s requirements and recommendations for API applications that may serve users under 18, covering content filtering, age-gating, and compliance considerations. If you are building an education, tutoring, or family-oriented product on the OpenAI API, this is mandatory reading – non-compliance can result in API access revocation. Focus on the specific content categories that require additional filtering for minors, as these go beyond the default safety settings. The guidance here also has implications for your application’s terms of service and privacy policy, so loop in your legal and product teams early.

Understand Cost and Usage of Operations

Mon, 01 Jan 0001 00:00:00 +0000

Understanding A2A

Mon, 01 Jan 0001 00:00:00 +0000

In-depth protocol explanation

Understanding Authorization in MCP

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to implement secure authorization for MCP servers using OAuth 2.1 to protect sensitive resources and operations

Understanding collections

Mon, 01 Jan 0001 00:00:00 +0000

Create static backups of pod-based indexes with collections

Understanding cost

Mon, 01 Jan 0001 00:00:00 +0000

Understand how costs are incurred in Pinecone.

Understanding LoRA performance

Mon, 01 Jan 0001 00:00:00 +0000

Understand the performance impact of LoRA fine-tuning, optimization strategies, and deployment considerations.

Understanding MCP clients

Mon, 01 Jan 0001 00:00:00 +0000

Most developers will build servers rather than clients, but understanding the client side is critical for grasping the full protocol flow. The key insight is that the client acts as a gatekeeper: it decides which server capabilities to expose to the model and enforces security boundaries. Pay attention to how capability negotiation works during initialization, since both sides must agree on what features they support before any real work happens.

Understanding MCP servers

Mon, 01 Jan 0001 00:00:00 +0000

This page explains the three core primitives that MCP servers expose: Tools, Resources, and Prompts. Focus on understanding when to use each one – Tools let the model take actions, Resources provide read-only data the model can pull in, and Prompts are reusable templates for common interactions. A frequent mistake is implementing everything as a tool when a resource would be more appropriate and give the host application more control over how data is presented to the model.

Understanding organizations

Mon, 01 Jan 0001 00:00:00 +0000

Understand organization structure, projects, and billing.

Understanding pod-based indexes

Mon, 01 Jan 0001 00:00:00 +0000

Learn about pod-based index architecture and types

Understanding projects

Mon, 01 Jan 0001 00:00:00 +0000

Learn about projects, environments, and member roles.

Union

Mon, 01 Jan 0001 00:00:00 +0000

Unions

Mon, 01 Jan 0001 00:00:00 +0000

Unit testing

Mon, 01 Jan 0001 00:00:00 +0000

Test agent logic without API calls using fake chat models and in-memory persistence.

Unit testing

Mon, 01 Jan 0001 00:00:00 +0000

Test agent logic without API calls using fake chat models and in-memory persistence.

Unlocking the Power of Multimodal Embeddings

Mon, 01 Jan 0001 00:00:00 +0000

Multimodal embeddings convert text and images into embeddings for search and classification (API v2).

Unsloth Integration

Mon, 01 Jan 0001 00:00:00 +0000

Unstructured

Mon, 01 Jan 0001 00:00:00 +0000

Update

Mon, 01 Jan 0001 00:00:00 +0000

Check for CLI updates.

Update an artifact

Mon, 01 Jan 0001 00:00:00 +0000

Update an existing Artifact inside and outside of a W&B Run.

Update and delete Calls

Mon, 01 Jan 0001 00:00:00 +0000

Modify display names, add feedback, and delete Calls in W&B Weave

Update Crew

Mon, 01 Jan 0001 00:00:00 +0000

Updating a Crew on CrewAI AMP

Update Cron

Mon, 01 Jan 0001 00:00:00 +0000

Update a cron job by ID.

Update Data

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to update and upsert data in Chroma collections.

Update records

Mon, 01 Jan 0001 00:00:00 +0000

Update vectors and metadata for existing records

Update Thread State

Mon, 01 Jan 0001 00:00:00 +0000

Add state to a thread.

Update W&B license and version

Mon, 01 Jan 0001 00:00:00 +0000

Guide for updating W&B version and license across different installation methods.

Updates

Mon, 01 Jan 0001 00:00:00 +0000

Upgrade an installation

Mon, 01 Jan 0001 00:00:00 +0000

Upgrade your plan

Mon, 01 Jan 0001 00:00:00 +0000

Upgrade to a paid plan to access advanced features and limits.

Upgrade your plan

Mon, 01 Jan 0001 00:00:00 +0000

Upgrade to a paid plan to access advanced features and limits.

Upgrading to GPT-5.4

Mon, 01 Jan 0001 00:00:00 +0000

Guidance for upgrading OpenAI API model strings and directly related prompts to GPT-5.4.

Upgrading to GPT-5.5

Mon, 01 Jan 0001 00:00:00 +0000

Guidance for upgrading OpenAI API model strings and directly related prompts to GPT-5.5.

Upload a LoRA Adapter

Mon, 01 Jan 0001 00:00:00 +0000

Bring Your Own Adapter: Upload your own LoRA adapter and run inference on Together AI

Upload a Model

Mon, 01 Jan 0001 00:00:00 +0000

Run inference on your custom or fine-tuned models

Upload files

Mon, 01 Jan 0001 00:00:00 +0000

Upload local files to an assistant.

Upload files with traces

Mon, 01 Jan 0001 00:00:00 +0000

Upload via REST API

Mon, 01 Jan 0001 00:00:00 +0000

Programmatically upload custom models using the Fireworks REST API

Upsert records

Mon, 01 Jan 0001 00:00:00 +0000

Add or update records in Pinecone indexes and manage data with namespaces.

Usage and pricing

Mon, 01 Jan 0001 00:00:00 +0000

Understand token accounting, usage metrics, and cost estimation.

Usage Cost Api

Mon, 01 Jan 0001 00:00:00 +0000

Usage Examples

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use W&B Inference with practical code examples

Usage information and limits

Mon, 01 Jan 0001 00:00:00 +0000

Understand pricing, usage limits, and account restrictions for W&B Serverless RL

Usage Information and Limits

Mon, 01 Jan 0001 00:00:00 +0000

Understand pricing, usage limits, and account restrictions for W&B Inference

Usage Limits & Analytics

Mon, 01 Jan 0001 00:00:00 +0000

Understanding account tiers, rate limits, model access, and cost analytics on Together AI.

Usage patterns for tool use (function calling)

Mon, 01 Jan 0001 00:00:00 +0000

Guide on implementing various tool use patterns with the Cohere Chat endpoint such as parallel tool calling, multi-step tool use, and more (API v2).

Usage Policy

Mon, 01 Jan 0001 00:00:00 +0000

Developers must outline and get approval for their use case to access the Cohere API, understanding the models and limitations. They should refer to model cards for detailed information and document potential harms of their application. Certain use cases, such as violence, hate speech, fraud, and privacy violations, are strictly prohibited.

Usage Stats Collection

Mon, 01 Jan 0001 00:00:00 +0000

Usage Tokens

Mon, 01 Jan 0001 00:00:00 +0000

Use an Assistant MCP server

Mon, 01 Jan 0001 00:00:00 +0000

Connect AI agents to Pinecone Assistant via Model Context Protocol.

Use an existing secret for your installation (Kubernetes)

Mon, 01 Jan 0001 00:00:00 +0000

Use annotation queues

Mon, 01 Jan 0001 00:00:00 +0000

Use builtin scorers

Mon, 01 Jan 0001 00:00:00 +0000

Use Weave’s predefined scorers for evaluating your AI applications

Use Cases

Mon, 01 Jan 0001 00:00:00 +0000

Use Claude Code Desktop

Mon, 01 Jan 0001 00:00:00 +0000

Get more out of Claude Code Desktop: parallel sessions with Git isolation, visual diff review, app previews, PR monitoring, permission modes, connectors, and enterprise configuration.

Use Claude Code in VS Code

Mon, 01 Jan 0001 00:00:00 +0000

Install and configure the Claude Code extension for VS Code. Get AI coding assistance with inline diffs, @-mentions, plan review, and keyboard shortcuts.

Use Claude Code with Chrome (beta)

Mon, 01 Jan 0001 00:00:00 +0000

Connect Claude Code to your Chrome browser to test web apps, debug with console logs, automate form filling, and extract data from web pages.

Use cron jobs

Mon, 01 Jan 0001 00:00:00 +0000

Use environment variables for model providers

Mon, 01 Jan 0001 00:00:00 +0000

Use federated identities with SDK

Mon, 01 Jan 0001 00:00:00 +0000

Use Fireworks Agent with Claude Code, Cursor, Codex, and other coding agents

Mon, 01 Jan 0001 00:00:00 +0000

Install the Fireworks Agent skill file once and drive end-to-end fine-tuning from your coding agent.

Use HTTP headers for runtime configuration

Mon, 01 Jan 0001 00:00:00 +0000

Use MCP in DSPy

Mon, 01 Jan 0001 00:00:00 +0000

Use model after training

Mon, 01 Jan 0001 00:00:00 +0000

Use Prometheus monitoring

Mon, 01 Jan 0001 00:00:00 +0000

Use server-side caching

Mon, 01 Jan 0001 00:00:00 +0000

Cache values server-side in your agent deployment using stale-while-revalidate and key-value cache APIs.

Use Serverless LoRA Inference

Mon, 01 Jan 0001 00:00:00 +0000

Bring your own custom LoRA for serving fine-tuned models on W&B Inference.

Use service accounts to automate workflows

Mon, 01 Jan 0001 00:00:00 +0000

Manage automated or non-interactive workflows using org and team scoped service accounts

Use the functional API

Mon, 01 Jan 0001 00:00:00 +0000

Use the functional API

Mon, 01 Jan 0001 00:00:00 +0000

Use the graph API

Mon, 01 Jan 0001 00:00:00 +0000

Use the graph API

Mon, 01 Jan 0001 00:00:00 +0000

Use the Pinecone MCP server

Mon, 01 Jan 0001 00:00:00 +0000

Use Pinecone MCP server for AI agent integration.

Use the Playground to experiment with prompts

Mon, 01 Jan 0001 00:00:00 +0000

Simplify the process of iterating on LLM prompts and responses

Use the Weave Service API to trace

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use Weave tracing via service api with W&B Weave

Use threads

Mon, 01 Jan 0001 00:00:00 +0000

Use time-travel

Mon, 01 Jan 0001 00:00:00 +0000

Use time-travel

Mon, 01 Jan 0001 00:00:00 +0000

Use tools in a prompt

Mon, 01 Jan 0001 00:00:00 +0000

Use trace plots

Mon, 01 Jan 0001 00:00:00 +0000

Visualize and debug trace-level metrics with interactive charts in Weave, exploring latency, cost, and token usage patterns through default and custom plots to optimize LLM application performance.

Use W&B Skills

Mon, 01 Jan 0001 00:00:00 +0000

Install W&B Skills to teach your coding agent how to train models, build agents, and analyze experiments using W&B’s AI development platform.

Use Weave with W&B Models

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use use weave with w&b models with W&B Weave

Use Weave with W&B training runs

Mon, 01 Jan 0001 00:00:00 +0000

Integrate Weave traces with W&B training runs to gain deep visibility into model behavior during training, capturing function execution details and diagnostics alongside traditional ML metrics in customizable workspace dashboards.

Use webhooks

Mon, 01 Jan 0001 00:00:00 +0000

Use your trained models

Mon, 01 Jan 0001 00:00:00 +0000

Make inference requests to the models you’ve trained

User Input

Mon, 01 Jan 0001 00:00:00 +0000

User management

Mon, 01 Jan 0001 00:00:00 +0000

User Simulation

Mon, 01 Jan 0001 00:00:00 +0000

Using Annotations in crew.py

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use annotations to properly structure agents, tasks, and components in CrewAI

Using Cohere models via the OpenAI SDK

Mon, 01 Jan 0001 00:00:00 +0000

The document serves as a guide for Cohere’s Compatibility API, which allows developers to seamlessly use Cohere’s models using OpenAI’s SDK.

Using Cohere's Models to Work with Image Inputs

Mon, 01 Jan 0001 00:00:00 +0000

This page describes how a Cohere large language model works with image inputs. It covers passing images with the API, limitations, and best practices.

Using CrewAI Without LiteLLM

Mon, 01 Jan 0001 00:00:00 +0000

How to use CrewAI with native provider integrations and remove the LiteLLM dependency from your project.

Using GPT-5.2

Mon, 01 Jan 0001 00:00:00 +0000

Learn about how to use and migrate to GPT-5.2 and the GPT-5 model family, the latest models in the OpenAI API.

Using Multimodal Agents

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to enable and use multimodal capabilities in your agents for processing images and other non-text content within the CrewAI framework.

Using Pre-chunked Data

Mon, 01 Jan 0001 00:00:00 +0000

Using predicted outputs

Mon, 01 Jan 0001 00:00:00 +0000

Use Predicted Outputs to boost output generation speeds for editing / rewriting use cases

Using realtime models

Mon, 01 Jan 0001 00:00:00 +0000

Prompting strategies and usage patterns for OpenAI’s realtime voice and multimodal models via WebSocket connections.

Using Secrets

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to create secrets that can be utilized within your reward function.

Using standard tests

Mon, 01 Jan 0001 00:00:00 +0000

Using standard tests

Mon, 01 Jan 0001 00:00:00 +0000

Using the Cohere Chat API for Text Generation

Mon, 01 Jan 0001 00:00:00 +0000

How to use the Chat API endpoint with Cohere LLMs to generate text responses in a conversational interface

Using tools

Mon, 01 Jan 0001 00:00:00 +0000

Extend model capabilities with tools — built-in (web search, file search, code interpreter) and custom (function calling, remote MCP servers).

Utilizing User Feedback

Mon, 01 Jan 0001 00:00:00 +0000

v1 API

Mon, 01 Jan 0001 00:00:00 +0000

Vacuum

Mon, 01 Jan 0001 00:00:00 +0000

Shrink and optimize your Chroma database.

Validation

Mon, 01 Jan 0001 00:00:00 +0000

Validators

Mon, 01 Jan 0001 00:00:00 +0000

Vector embeddings

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to turn text into numbers, unlocking use cases like search, clustering, and more with OpenAI API embeddings.

Vercel

Mon, 01 Jan 0001 00:00:00 +0000

Vercel AI

Mon, 01 Jan 0001 00:00:00 +0000

Verdict

Mon, 01 Jan 0001 00:00:00 +0000

Use Verdict evaluation framework with Weave to trace and monitor your LLM evaluation pipelines

Verifiers

Mon, 01 Jan 0001 00:00:00 +0000

Track and debug Verifiers RL environments and LLM agent training with Weave, capturing multi-round conversations, evaluation rollouts, and model performance metrics for comprehensive observability of reinforcement learning workflows.

Version policy

Mon, 01 Jan 0001 00:00:00 +0000

Versioning

Mon, 01 Jan 0001 00:00:00 +0000

Versioning

Mon, 01 Jan 0001 00:00:00 +0000

Versioning

Mon, 01 Jan 0001 00:00:00 +0000

Versioning

Mon, 01 Jan 0001 00:00:00 +0000

Versioning Published MCP Servers

Mon, 01 Jan 0001 00:00:00 +0000

Getting versioning right is essential for MCP server publishers because clients may pin to specific versions, and breaking changes without a major version bump will silently break downstream integrations. Pay close attention to how semantic versioning interacts with registry resolution rules and what happens when you publish a version that a client cannot upgrade to automatically. If you maintain servers consumed by multiple host applications, read this alongside the package types guide to understand how versioning constraints differ across package formats.

Vertex AI

Mon, 01 Jan 0001 00:00:00 +0000

Vertex AI

Mon, 01 Jan 0001 00:00:00 +0000

Deploy and query Mistral AI models on Google Cloud Vertex AI as serverless endpoints

Vertex AI hosted

Mon, 01 Jan 0001 00:00:00 +0000

Vertex AI Search Grounding

Mon, 01 Jan 0001 00:00:00 +0000

Vespa and Cohere (Integration Guide)

Mon, 01 Jan 0001 00:00:00 +0000

This page describes how to integrate Cohere with the Vespa database.

Vibe Coder Quickstart

Mon, 01 Jan 0001 00:00:00 +0000

Vibe Coding

Mon, 01 Jan 0001 00:00:00 +0000

Video & Audio Inputs

Mon, 01 Jan 0001 00:00:00 +0000

Query multimodal models to process video and audio content directly

Video Generation

Mon, 01 Jan 0001 00:00:00 +0000

Generate high-quality videos from text and image prompts.

Video generation with Sora

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to generate, refine, and manage videos using the OpenAI Sora Video API.

Video Generation with Wan 2.1

Mon, 01 Jan 0001 00:00:00 +0000

Deploy a multi-GPU video generation model on Together’s managed GPU infrastructure using Dedicated Containers.

View a specific run in a project

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to view a specific logged run and its properties using the W&B App or the LEET terminal UI.

View an automation's history

Mon, 01 Jan 0001 00:00:00 +0000

View and customize trace display

Mon, 01 Jan 0001 00:00:00 +0000

View calls in the UI and customize how trace data is displayed

View experiments results

Mon, 01 Jan 0001 00:00:00 +0000

A playground for exploring run data with interactive visualizations

View organization activity

Mon, 01 Jan 0001 00:00:00 +0000

View reasoning information

Mon, 01 Jan 0001 00:00:00 +0000

How to return and view reasoning in your W&B Inference responses

View runs in a project

Mon, 01 Jan 0001 00:00:00 +0000

Details about customizing how runs are displayed in your project’s runs table

View server logs for a trace

Mon, 01 Jan 0001 00:00:00 +0000

View trace counts across your organization

Mon, 01 Jan 0001 00:00:00 +0000

Vision

Mon, 01 Jan 0001 00:00:00 +0000

Multimodal AI models analyze images and text for insights, supporting use cases like OCR, chart understanding, and receipt transcription

Vision fine-tuning

Mon, 01 Jan 0001 00:00:00 +0000

Fine-tune models for better image understanding.

Vision Inputs

Mon, 01 Jan 0001 00:00:00 +0000

Fine-tune vision-language models (VLMs) with the Training API using multimodal chat data containing images and text.

Vision LLMs

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use the vision models supported by Together AI.

Vision Models

Mon, 01 Jan 0001 00:00:00 +0000

Query vision-language models to analyze images and visual content

Vision Tool

Mon, 01 Jan 0001 00:00:00 +0000

The ‘VisionTool’ is designed to extract text from images.

Vision-Language Fine-tuning

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to fine-tune Vision-Language Models (VLMs) on image+text data using Together AI.

Visual Builder

Mon, 01 Jan 0001 00:00:00 +0000

Visualization

Mon, 01 Jan 0001 00:00:00 +0000

Embed tracing dashboards and visualize agent runs directly in notebooks and web apps.

Visualize and analyze tables

Mon, 01 Jan 0001 00:00:00 +0000

Visualize and analyze W&B Tables.

Visualize CoreWeave infrastructure alerts

Mon, 01 Jan 0001 00:00:00 +0000

Visualize sweep results

Mon, 01 Jan 0001 00:00:00 +0000

Visualize the results of your W&B Sweeps with the W&B App UI.

vLLM

Mon, 01 Jan 0001 00:00:00 +0000

vLLM

Mon, 01 Jan 0001 00:00:00 +0000

vLLM is an open-source LLM inference engine optimized for deploying Mistral models on-premise

vLLM Integration

Mon, 01 Jan 0001 00:00:00 +0000

Voice activity detection (VAD)

Mon, 01 Jan 0001 00:00:00 +0000

Learn about automatic voice activity detection in the Realtime API.

Voice agents

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to build agents that can work with audio and speech.

Voice dictation

Mon, 01 Jan 0001 00:00:00 +0000

Use push-to-talk voice dictation to speak your prompts instead of typing them in the Claude Code CLI.

Voice pipeline

Mon, 01 Jan 0001 00:00:00 +0000

Customize audio ingestion, tool execution, and response rendering.

Voice quickstart

Mon, 01 Jan 0001 00:00:00 +0000

Build speech-enabled agents with streaming transcription and TTS.

VoltAgent

Mon, 01 Jan 0001 00:00:00 +0000

VoltAgent

Mon, 01 Jan 0001 00:00:00 +0000

Voyage AI

Mon, 01 Jan 0001 00:00:00 +0000

Using Voyage AI and Pinecone to generate and index high-quality vector embeddings

VoyageAI

Mon, 01 Jan 0001 00:00:00 +0000

W&B Courses

Mon, 01 Jan 0001 00:00:00 +0000

W&B Inference

Mon, 01 Jan 0001 00:00:00 +0000

W&B Mobile App (iOS)

Mon, 01 Jan 0001 00:00:00 +0000

Track training runs, view line plots, and explore your W&B Models projects from your iPhone or iPad.

W&B Models

Mon, 01 Jan 0001 00:00:00 +0000

W&B Platform Security

Mon, 01 Jan 0001 00:00:00 +0000

W&B Pricing

Mon, 01 Jan 0001 00:00:00 +0000

W&B Quickstart

Mon, 01 Jan 0001 00:00:00 +0000

W&B Quickstart

W&B Self-Managed deployment overview

Mon, 01 Jan 0001 00:00:00 +0000

Deploy W&B Self-Managed on cloud or on-premises infrastructure

W&B Training

Mon, 01 Jan 0001 00:00:00 +0000

W&B Tutorials & Blog

Mon, 01 Jan 0001 00:00:00 +0000

W&B Weave

Mon, 01 Jan 0001 00:00:00 +0000

Wait for index creation to be complete

Mon, 01 Jan 0001 00:00:00 +0000

Warm Start from Fine-Tuned Models

Mon, 01 Jan 0001 00:00:00 +0000

Continue training from a previously fine-tuned model with RFT

Weather agent

Mon, 01 Jan 0001 00:00:00 +0000

Weave Integration

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use Weights & Biases (W&B) Weave to track, experiment with, evaluate, and improve your CrewAI applications.

Weaviate and Cohere (Integration Guide)

Mon, 01 Jan 0001 00:00:00 +0000

This page describes how to integrate Cohere with the Weaviate database.

Weaviate Vector Search

Mon, 01 Jan 0001 00:00:00 +0000

The ‘WeaviateVectorSearchTool’ is designed to search a Weaviate vector database for semantically similar documents using hybrid search.

Web Chat UI

Mon, 01 Jan 0001 00:00:00 +0000

Web Fetch Tool

Mon, 01 Jan 0001 00:00:00 +0000

The web fetch tool is an Anthropic-provided built-in tool that lets Claude retrieve content from URLs during a conversation, converting HTML to markdown for processing. This is a key building block for agents that need to access live web data, documentation, or API responses without requiring you to build custom tool infrastructure. Note that authenticated URLs will fail since the tool operates without session cookies or tokens, so you need alternative approaches for private resources. Compare this with the web search tool, which discovers URLs, whereas web fetch retrieves content from known URLs you or the model already have.

Web Interface

Mon, 01 Jan 0001 00:00:00 +0000

Web QA with embeddings

Mon, 01 Jan 0001 00:00:00 +0000

How to build an AI that can answer questions about your website.

Web search

Mon, 01 Jan 0001 00:00:00 +0000

Built-in web search tool that lets models search the internet for current information before generating responses — grounding outputs in real-time data.

Web Search Tool

Mon, 01 Jan 0001 00:00:00 +0000

The web search tool gives Claude the ability to query search engines and incorporate up-to-date information into its responses, directly addressing the knowledge cutoff limitation inherent to all LLMs. This is essential for agents that need to answer questions about current events, recent software releases, or rapidly changing documentation. Be mindful that search results are summaries, not full page content – pair this tool with the web fetch tool when you need to deeply read a specific result. Search queries constructed by the model can sometimes be overly broad, so providing domain filtering constraints improves relevance significantly.

Web Sync

Mon, 01 Jan 0001 00:00:00 +0000

Crawl and sync website content into Chroma Cloud.

Webhook Automation

Mon, 01 Jan 0001 00:00:00 +0000

Automate CrewAI AMP workflows using webhooks with platforms like ActivePieces, Zapier, and Make.com

Webhook Streaming

Mon, 01 Jan 0001 00:00:00 +0000

Using Webhook Streaming to stream events to your webhook

Webhooks

Mon, 01 Jan 0001 00:00:00 +0000

Use webhooks to receive real-time updates from the OpenAI API.

Webhooks and server-side controls

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use webhooks and server-side controls with the Realtime API.

Websearch

Mon, 01 Jan 0001 00:00:00 +0000

Websearch enables models to browse the web for real-time, up-to-date information and access specific websites

Website RAG Search

Mon, 01 Jan 0001 00:00:00 +0000

The ‘WebsiteSearchTool’ is designed to perform a RAG (Retrieval-Augmented Generation) search within the content of a website.

WebSocket Mode

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use Responses API WebSocket mode with response.create and previous_response_id.

Week 13 · March 23–27, 2026

Mon, 01 Jan 0001 00:00:00 +0000

Auto mode for hands-off permissions, computer use built in, PR auto-fix in the cloud, transcript search, and a PowerShell tool for Windows.

Week 14 · March 30 – April 3, 2026

Mon, 01 Jan 0001 00:00:00 +0000

Computer use in the CLI, interactive in-product lessons, flicker-free rendering, per-tool MCP result-size overrides, and plugin executables on PATH.

Weight sync

Mon, 01 Jan 0001 00:00:00 +0000

How a trainer’s updated weights reach the serving deployment during RL training.

Weighted Training

Mon, 01 Jan 0001 00:00:00 +0000

Control which samples have greater influence during RFT training

Weights & Biases Documentation

Mon, 01 Jan 0001 00:00:00 +0000

View the documentation for all Weights & Biases products

WeightSyncer (Legacy)

Mon, 01 Jan 0001 00:00:00 +0000

Backward-compatibility reference for the old standalone checkpoint-then-sync helper.

Welcome to LLM University!

Mon, 01 Jan 0001 00:00:00 +0000

LLM University (LLMU) offers in-depth, practical NLP and LLM training. Ideal for all skill levels. Learn, build, and deploy Language AI with Cohere.

What is the Model Context Protocol (MCP)?

Mon, 01 Jan 0001 00:00:00 +0000

This is the single best starting point for understanding MCP. Focus on the core value proposition: MCP standardizes how AI applications connect to external data and tools, replacing fragile one-off integrations with a shared protocol. Pay attention to the analogy with USB-C — MCP aims to be a universal connector between LLMs and the systems they need to interact with. The original page also covers building MCP Apps — interactive apps that run inside AI clients — via the MCP Apps overview. Read this before diving into architecture or specification pages.

What is Weave?

Mon, 01 Jan 0001 00:00:00 +0000

Learn about W&B Weave and how it helps you build, evaluate, and improve LLM applications

What's new

Mon, 01 Jan 0001 00:00:00 +0000

A weekly digest of notable Claude Code features, with code snippets, demos, and context on why they matter.

What's New

Mon, 01 Jan 0001 00:00:00 +0000

The latest updates and improvements to AG-UI

What's new in LangChain v1

Mon, 01 Jan 0001 00:00:00 +0000

What's new in LangChain v1

Mon, 01 Jan 0001 00:00:00 +0000

What's new in LangGraph v1

Mon, 01 Jan 0001 00:00:00 +0000

What's new in LangGraph v1

Mon, 01 Jan 0001 00:00:00 +0000

Whats New Claude 4 6

Mon, 01 Jan 0001 00:00:00 +0000

Where Filters

Mon, 01 Jan 0001 00:00:00 +0000

Reference for the Python DSL used to build where filters.

Where Filters

Mon, 01 Jan 0001 00:00:00 +0000

Reference for the TypeScript DSL used to build where filters.

Where Filters

Mon, 01 Jan 0001 00:00:00 +0000

Reference guide for where filter JSON syntax used in Chroma queries and searches.

Which model should I use?

Mon, 01 Jan 0001 00:00:00 +0000

Find the best open models for your use case or migrate from closed source models like Claude, GPT, and Gemini

Why Evaluate Agents

Mon, 01 Jan 0001 00:00:00 +0000

Wikipedia Semantic Search with Cohere + Weaviate

Mon, 01 Jan 0001 00:00:00 +0000

This page contains a description of building a Wikipedia-focused search engine with Cohere’s LLM platform and the Weaviate vector database.

Wikipedia Semantic Search with Cohere Embedding Archives

Mon, 01 Jan 0001 00:00:00 +0000

This page contains a description of building a Wikipedia-focused semantic search engine with Cohere’s LLM platform and the Weaviate vector database.

Workflow Agents

Mon, 01 Jan 0001 00:00:00 +0000

Workflow agents provide deterministic orchestration without LLM overhead: sequential, parallel, and loop patterns for composing agent execution.

Workflow Edges

Mon, 01 Jan 0001 00:00:00 +0000

Edge types for controlling workflow transitions: conditional routing, parallel fan-out, and convergence patterns.

Workflow Evaluation Quickstart

Mon, 01 Jan 0001 00:00:00 +0000

Workflows and agents

Mon, 01 Jan 0001 00:00:00 +0000

Workflows and agents

Mon, 01 Jan 0001 00:00:00 +0000

This guide draws the critical distinction between deterministic workflows and autonomous agents in LangGraph, which is the most important conceptual decision you make when designing a LangGraph application. Workflows use predefined edges and conditional branching, while agents use LLM-driven decisions to determine the next step. Understanding when to choose each pattern, and when to combine them, directly impacts the reliability, cost, and debuggability of your application. Start here before diving into specific LangGraph features like memory or streaming, as the workflow-vs-agent framing shapes every subsequent design choice.

Workflows Overview

Mon, 01 Jan 0001 00:00:00 +0000

Graph-based workflow orchestration: defining agents as nodes, transitions as edges, and execution strategies (sequential, parallel, conditional).

Workflows Tutorial

Mon, 01 Jan 0001 00:00:00 +0000

Tutorial on defining graph-based multi-agent workflows with executors and edges.

Working and Interest Groups

Mon, 01 Jan 0001 00:00:00 +0000

Learn about the two forms of collaborative groups within the Model Context Protocol’s governance structure - Working Groups and Interest Groups.

Working with evals

Mon, 01 Jan 0001 00:00:00 +0000

Build, run, and iterate on evaluations to systematically test and improve AI model outputs — OpenAI’s practical guide to eval-driven development.

Workload isolation

Mon, 01 Jan 0001 00:00:00 +0000

Workspace setup

Mon, 01 Jan 0001 00:00:00 +0000

Add required workspace secrets for models and tools used by Agent Builder.

Workspace setup

Mon, 01 Jan 0001 00:00:00 +0000

Add required workspace secrets for models and tools used by Fleet.

Workspaces

Mon, 01 Jan 0001 00:00:00 +0000

Workspaces

Mon, 01 Jan 0001 00:00:00 +0000

La Plateforme workspaces enable team collaboration, access control, and shared fine-tuned models.’ (99 characters)

Write your prompt with AI

Mon, 01 Jan 0001 00:00:00 +0000

Writer

Mon, 01 Jan 0001 00:00:00 +0000

xAI

Mon, 01 Jan 0001 00:00:00 +0000

xAI

Mon, 01 Jan 0001 00:00:00 +0000

XGBoost

Mon, 01 Jan 0001 00:00:00 +0000

Track your trees with W&B.

XML RAG Search

Mon, 01 Jan 0001 00:00:00 +0000

The ‘XMLSearchTool’ is designed to perform a RAG (Retrieval-Augmented Generation) search within the content of a XML file.

XPO Trainer

Mon, 01 Jan 0001 00:00:00 +0000

YOLOv5

Mon, 01 Jan 0001 00:00:00 +0000

YOLOX

Mon, 01 Jan 0001 00:00:00 +0000

How to integrate W&B with YOLOX.

Your First Agent

Mon, 01 Jan 0001 00:00:00 +0000

Step-by-step tutorial to build your first agent with the Microsoft Agent Framework.

YouTube Channel RAG Search

Mon, 01 Jan 0001 00:00:00 +0000

The ‘YoutubeChannelSearchTool’ is designed to perform a RAG (Retrieval-Augmented Generation) search within the content of a Youtube channel.

YouTube Video RAG Search

Mon, 01 Jan 0001 00:00:00 +0000

The ‘YoutubeVideoSearchTool’ is designed to perform a RAG (Retrieval-Augmented Generation) search within the content of a Youtube video.

Zapier

Mon, 01 Jan 0001 00:00:00 +0000

Zapier Actions Tool

Mon, 01 Jan 0001 00:00:00 +0000

The ‘ZapierActionsAdapter’ exposes Zapier actions as CrewAI tools for automation.

Zapier Trigger

Mon, 01 Jan 0001 00:00:00 +0000

Trigger CrewAI crews from Zapier workflows to automate cross-app workflows

Zendesk Integration

Mon, 01 Jan 0001 00:00:00 +0000

Customer support and helpdesk management with Zendesk integration for CrewAI.

Zeno

Mon, 01 Jan 0001 00:00:00 +0000

Zero data retention

Mon, 01 Jan 0001 00:00:00 +0000

Learn about Zero Data Retention (ZDR) for Claude Code on Claude for Enterprise, including scope, disabled features, and how to request enablement.

Zero Data Retention

Mon, 01 Jan 0001 00:00:00 +0000

Zero Data Retention

Mon, 01 Jan 0001 00:00:00 +0000

Data retention policies at Fireworks

Zilliz and Cohere (Integration Guide)

Mon, 01 Jan 0001 00:00:00 +0000

This page describes how to integrate Cohere with the Zilliz database.

Search

Mon, 01 Jan 0001 00:00:00 +0000

Search across all documentation artifacts, summaries, topics, and editorial notes.