<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Agents on AI Knowledge Base</title><link>https://learn-ai.blindshot.kz/topics/agents/</link><description>Recent content in Agents on AI Knowledge Base</description><generator>Hugo</generator><language>en-us</language><atom:link href="https://learn-ai.blindshot.kz/topics/agents/index.xml" rel="self" type="application/rss+xml"/><item><title>Building with the Claude API</title><link>https://learn-ai.blindshot.kz/courses/anthropic-building-claude-api/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/courses/anthropic-building-claude-api/</guid><description>&lt;p&gt;The most comprehensive free course on building with Claude&amp;rsquo;s API — 21 lessons covering everything from basic API calls to tool use, structured outputs, and agent patterns. This is Anthropic&amp;rsquo;s flagship developer course and the definitive companion to the Claude API documentation in this knowledge base. If you&amp;rsquo;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.&lt;/p&gt;</description></item><item><title>Symphony Overview</title><link>https://learn-ai.blindshot.kz/docs/openai/symphony/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/symphony/overview/</guid><description>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.</description></item><item><title>What Is an AI Agent?</title><link>https://learn-ai.blindshot.kz/docs/ai-strategy/agents/pm-guide-ai-agents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ai-strategy/agents/pm-guide-ai-agents/</guid><description>McKinsey&amp;rsquo;s explainer on AI agents — what they are, how they differ from chatbots, and how they will impact business operations and the workforce.</description></item><item><title>Symphony Service Specification</title><link>https://learn-ai.blindshot.kz/docs/openai/symphony/spec/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/symphony/spec/</guid><description>Complete technical specification for implementing Symphony: six architectural layers, orchestration state machine, workspace management, agent runner protocol, polling and scheduling, retry semantics, and observability.</description></item><item><title>Elixir Reference Implementation</title><link>https://learn-ai.blindshot.kz/docs/openai/symphony/elixir-reference/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/symphony/elixir-reference/</guid><description>Setup and usage guide for Symphony&amp;rsquo;s experimental Elixir/BEAM reference implementation, leveraging OTP supervision trees for fault-tolerant agent orchestration.</description></item><item><title>Introduction to Agent Skills</title><link>https://learn-ai.blindshot.kz/courses/anthropic-intro-agent-skills/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/courses/anthropic-intro-agent-skills/</guid><description>&lt;p&gt;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&amp;rsquo;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.&lt;/p&gt;</description></item><item><title>WORKFLOW.md Configuration</title><link>https://learn-ai.blindshot.kz/docs/openai/symphony/workflow-configuration/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/symphony/workflow-configuration/</guid><description>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.</description></item><item><title>Claude Code Mastery</title><link>https://learn-ai.blindshot.kz/paths/claude-code-mastery/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/paths/claude-code-mastery/</guid><description>&lt;p&gt;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.&lt;/p&gt;</description></item><item><title>Orchestration State Machine</title><link>https://learn-ai.blindshot.kz/docs/openai/symphony/orchestration-state-machine/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/symphony/orchestration-state-machine/</guid><description>Symphony&amp;rsquo;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.</description></item><item><title>LangChain for LLM Application Development</title><link>https://learn-ai.blindshot.kz/courses/dlai-langchain-llm-dev/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/courses/dlai-langchain-llm-dev/</guid><description>&lt;p&gt;Harrison Chase (LangChain CEO) and Andrew Ng&amp;rsquo;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&amp;rsquo;s the right framework for your use case. Pair with the RAG from Scratch learning path to go deeper into retrieval-augmented generation patterns.&lt;/p&gt;</description></item><item><title>SDD with Claude Code</title><link>https://learn-ai.blindshot.kz/docs/sdd/workflows/agent-factory-sdd-claude/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/sdd/workflows/agent-factory-sdd-claude/</guid><description>Educational chapter on applying specification-driven development with Claude Code, covering spec authoring, agent interaction patterns, and iterative refinement.</description></item><item><title>The Agentic Protocol Stack</title><link>https://learn-ai.blindshot.kz/paths/agentic-protocols/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/paths/agentic-protocols/</guid><description>&lt;p&gt;Understand the three open protocols forming the agentic AI communication stack:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;MCP&lt;/strong&gt; (agent-to-tool) — how agents use external tools and data&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;A2A&lt;/strong&gt; (agent-to-agent) — how agents collaborate across platforms&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;AG-UI&lt;/strong&gt; (agent-to-user) — how agents communicate with frontends&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;All three are converging under the Linux Foundation&amp;rsquo;s Agentic AI Foundation (AAIF). This path teaches you the architecture and practical usage of each layer.&lt;/p&gt;</description></item><item><title>Functions, Tools and Agents with LangChain</title><link>https://learn-ai.blindshot.kz/courses/dlai-functions-tools-agents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/courses/dlai-functions-tools-agents/</guid><description>&lt;p&gt;Deepens the LangChain introduction with focus on function calling, tool use, and agent patterns — the building blocks of agentic AI applications. Covers OpenAI&amp;rsquo;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.&lt;/p&gt;</description></item><item><title>Build What You Mean, Not What You Guess</title><link>https://learn-ai.blindshot.kz/docs/sdd/methodology/beam-ai-sdd/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/sdd/methodology/beam-ai-sdd/</guid><description>How SDD reduces ambiguity in AI-assisted development by replacing informal prompts with structured specifications, with focus on agentic workflows.</description></item><item><title>Building Agentic RAG with LlamaIndex</title><link>https://learn-ai.blindshot.kz/courses/dlai-agentic-rag-llamaindex/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/courses/dlai-agentic-rag-llamaindex/</guid><description>&lt;p&gt;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.&lt;/p&gt;</description></item><item><title>Agent SDK — Overview</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/overview/</guid><description>Introduction to Anthropic&amp;rsquo;s Agent SDK for building custom AI agents with tool use, MCP, and sub-agents.</description></item><item><title>Multi AI Agent Systems with crewAI</title><link>https://learn-ai.blindshot.kz/courses/dlai-multi-agent-crewai/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/courses/dlai-multi-agent-crewai/</guid><description>&lt;p&gt;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.&lt;/p&gt;</description></item><item><title>Tool Use — Overview</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/overview/</guid><description>How Claude calls external tools and functions — the foundation for building agentic systems.</description></item><item><title>Agent SDK Deep Dive</title><link>https://learn-ai.blindshot.kz/paths/agent-sdk-deep-dive/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/paths/agent-sdk-deep-dive/</guid><description>&lt;p&gt;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.&lt;/p&gt;
&lt;p&gt;Prerequisites: Familiarity with the Claude API (complete Claude API Essentials first).&lt;/p&gt;</description></item><item><title>Multi-Agent Systems</title><link>https://learn-ai.blindshot.kz/paths/multi-agent-systems/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/paths/multi-agent-systems/</guid><description>&lt;p&gt;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.&lt;/p&gt;
&lt;p&gt;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.&lt;/p&gt;</description></item><item><title>Agents Course</title><link>https://learn-ai.blindshot.kz/courses/huggingface-agents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/courses/huggingface-agents/</guid><description>&lt;p&gt;Hugging Face&amp;rsquo;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&amp;rsquo;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&amp;rsquo;re evaluating open vs. proprietary agent architectures.&lt;/p&gt;</description></item><item><title>Evaluation &amp; Testing</title><link>https://learn-ai.blindshot.kz/paths/evaluation-testing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/paths/evaluation-testing/</guid><description>&lt;p&gt;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.&lt;/p&gt;
&lt;p&gt;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&amp;amp;B Weave treats evaluation as a core development primitive. This path helps you pick the right tools and combine them.&lt;/p&gt;</description></item><item><title>AI Safety &amp; Guardrails</title><link>https://learn-ai.blindshot.kz/paths/ai-safety/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/paths/ai-safety/</guid><description>&lt;p&gt;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.&lt;/p&gt;
&lt;p&gt;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.&lt;/p&gt;</description></item><item><title>AI Use Cases &amp; Business Applications</title><link>https://learn-ai.blindshot.kz/paths/ai-use-cases-business/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/paths/ai-use-cases-business/</guid><description>&lt;p&gt;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.&lt;/p&gt;
&lt;p&gt;By the end of this path, you&amp;rsquo;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.&lt;/p&gt;</description></item><item><title>Understanding AI Agents &amp; Protocols</title><link>https://learn-ai.blindshot.kz/paths/ai-agents-for-leaders/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/paths/ai-agents-for-leaders/</guid><description>&lt;p&gt;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.&lt;/p&gt;
&lt;p&gt;By the end of this path, you&amp;rsquo;ll understand the difference between chatbots and agents, how agents connect to external tools and data, and what enterprise agent deployment looks like. You&amp;rsquo;ll be equipped to evaluate whether your product needs agent capabilities and what infrastructure choices your team should be making.&lt;/p&gt;</description></item><item><title>AI Architecture for Technical Leaders</title><link>https://learn-ai.blindshot.kz/paths/ai-architecture-technical-leaders/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/paths/ai-architecture-technical-leaders/</guid><description>&lt;p&gt;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.&lt;/p&gt;
&lt;p&gt;By the end of this path, you&amp;rsquo;ll be able to: evaluate your engineering team&amp;rsquo;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.&lt;/p&gt;</description></item><item><title>Implement Tool Use</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/implement-tool-use/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/implement-tool-use/</guid><description>Step-by-step guide to implementing the tool use loop: define tools, handle tool_use responses, send tool_result.</description></item><item><title>A Data Analyst Agent Built with Cohere and Langchain</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/data-analyst-agent/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/data-analyst-agent/</guid><description>This page describes how to build a data-analysis system out of Cohere&amp;rsquo;s models.</description></item><item><title>A2A endpoint in Agent Server</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/server-a2a/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/server-a2a/</guid><description/></item><item><title>A2A JSON-RPC</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/a2a/a2a-json-rpc/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/a2a/a2a-json-rpc/</guid><description>Communicate with an assistant using the Agent-to-Agent (A2A) Protocol over JSON-RPC 2.0.</description></item><item><title>AbstractAgent</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/js/client/abstract-agent/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/js/client/abstract-agent/</guid><description>Base agent implementation with core event handling</description></item><item><title>Access &amp; oversight</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/access-and-oversight/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/access-and-oversight/</guid><description>Control who can access agents, how they authenticate, and audit everything they do.</description></item><item><title>Access the W&amp;B MCP Server</title><link>https://learn-ai.blindshot.kz/docs/wandb/platform/mcp-server/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/platform/mcp-server/</guid><description>Connect your IDE or LLM application to W&amp;amp;B&amp;rsquo;s Model Context Protocol (MCP) server to provide your agent with access to your W&amp;amp;B workspace, data, and W&amp;amp;B&amp;rsquo;s documentation.</description></item><item><title>Add Tools to Agents</title><link>https://learn-ai.blindshot.kz/docs/microsoft/agent-framework/add-tools/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/microsoft/agent-framework/add-tools/</guid><description>Add tool calling capabilities to agents with automatic schema inference from Python functions.</description></item><item><title>ADK with Agent2Agent (A2A) Protocol</title><link>https://learn-ai.blindshot.kz/docs/google/adk/a2a/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/a2a/_overview/</guid><description/></item><item><title>Advanced Document Parsing For Enterprises</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/document-parsing-for-enterprises/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/document-parsing-for-enterprises/</guid><description>This page describes how to use Cohere&amp;rsquo;s models to build a document-parsing agent.</description></item><item><title>Advanced integrations with ChatKit</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/custom-chatkit/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/custom-chatkit/</guid><description>Use your own server with ChatKit to integrate agent workflows into your product with more customization.</description></item><item><title>Agent Builder webhooks</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-webhooks/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-webhooks/</guid><description>Integrate agent publishing with external systems, CI/CD pipelines, or custom deployment workflows.</description></item><item><title>Agent Capabilities</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/concepts/agent-capabilities/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/concepts/agent-capabilities/</guid><description>Understand the five ways to extend CrewAI agents: Tools, MCPs, Apps, Skills, and Knowledge.</description></item><item><title>Agent Chat UI</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/ui/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/ui/</guid><description/></item><item><title>Agent Chat UI</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/ui/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/ui/</guid><description/></item><item><title>Agent Chat UI</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/ui/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/ui/</guid><description/></item><item><title>Agent Chat UI</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/ui/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/ui/</guid><description/></item><item><title>Agent Client Protocol (ACP)</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/acp/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/acp/</guid><description>Expose Deep Agents over the Agent Client Protocol (ACP) to integrate with code editors and IDEs.</description></item><item><title>Agent Client Protocol (ACP)</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/acp/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/acp/</guid><description>Expose Deep Agents over the Agent Client Protocol (ACP) to integrate with code editors and IDEs.</description></item><item><title>Agent Config</title><link>https://learn-ai.blindshot.kz/docs/google/adk/agents/config/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/agents/config/_overview/</guid><description/></item><item><title>Agent definitions</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/agents/define-agents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/agents/define-agents/</guid><description>Learn how to define an agent&amp;rsquo;s instructions, model, tools, and local context in the OpenAI Agents SDK.</description></item><item><title>Agent evals</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/agent-evals/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/agent-evals/</guid><description>Use agent evals to create datasets, configure graders, and track evaluation runs for your agents.</description></item><item><title>Agent Evaluation Quickstart</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/cli/agent_evals/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/cli/agent_evals/_overview/</guid><description/></item><item><title>Agent Framework Overview</title><link>https://learn-ai.blindshot.kz/docs/microsoft/agent-framework/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/microsoft/agent-framework/overview/</guid><description>Introduction to Microsoft Agent Framework: combining AutoGen&amp;rsquo;s agent abstractions with Semantic Kernel&amp;rsquo;s enterprise features for production-grade multi-agent orchestration.</description></item><item><title>Agent Frameworks</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/ecosystem/integrations/agent-frameworks/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/ecosystem/integrations/agent-frameworks/</guid><description>Build production-ready AI agents with Fireworks and leading open-source frameworks</description></item><item><title>Agent identity</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/agent-identity/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/agent-identity/</guid><description>Choose whether your Fleet agent authenticates with its own credentials or with each user&amp;rsquo;s credentials.</description></item><item><title>Agent Integrations</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/agent-integrations/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/agent-integrations/</guid><description>Using OSS agent frameworks with Together AI</description></item><item><title>Agent Loop</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/agent-loop/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/agent-loop/</guid><description/></item><item><title>Agent Repositories</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/features/agent-repositories/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/features/agent-repositories/</guid><description>Learn how to use Agent Repositories to share and reuse your agents across teams and projects</description></item><item><title>Agent Runtime</title><link>https://learn-ai.blindshot.kz/docs/google/adk/runtime/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/runtime/_overview/</guid><description/></item><item><title>Agent Server</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server/</guid><description/></item><item><title>Agent Server API reference for LangSmith Deployment</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/server-api-ref/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/server-api-ref/</guid><description/></item><item><title>Agent Server changelog</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-changelog/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-changelog/</guid><description/></item><item><title>Agent Skills</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/agent-skills/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/agent-skills/</guid><description>Install Pinecone&amp;rsquo;s official Agent Skills library for Cursor, GitHub Copilot, Codex, and other agentic IDEs.</description></item><item><title>Agent Specs</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/agent-spec/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/agent-spec/_overview/</guid><description/></item><item><title>Agent Starter Pack</title><link>https://learn-ai.blindshot.kz/docs/google/adk/deploy/agent-engine/asp/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/deploy/agent-engine/asp/_overview/</guid><description/></item><item><title>Agent team</title><link>https://learn-ai.blindshot.kz/docs/google/adk/tutorials/agent-team/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/tutorials/agent-team/_overview/</guid><description/></item><item><title>Agent Tracing</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/environments/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/environments/</guid><description>Understand where your agent runs and how tracing enables reinforcement fine-tuning</description></item><item><title>Agent User Interaction (AG-UI)</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/examples/ag-ui/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/examples/ag-ui/_overview/</guid><description/></item><item><title>Agent Workflows</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/workflows/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/workflows/</guid><description>Orchestrating together multiple language model calls to solve complex tasks.</description></item><item><title>agent-server-openapi</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-openapi/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-openapi/</guid><description/></item><item><title>Agent2Agent (A2A)</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/a2a/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/a2a/_overview/</guid><description/></item><item><title>Agentic IDEs and CLIs</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/get-started/ai-coding-tools/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/get-started/ai-coding-tools/</guid><description>Use Pinecone with agentic IDEs and CLIs like Claude Code, Gemini CLI, Cursor, and more.</description></item><item><title>Agentic Memory</title><link>https://learn-ai.blindshot.kz/docs/chroma/guides/build/agentic-memory/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/guides/build/agentic-memory/</guid><description>Persist agent context across runs for better performance and personalization.</description></item><item><title>Agentic Multi-Stage RAG with Cohere Tools API</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/agentic-multi-stage-rag/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/agentic-multi-stage-rag/</guid><description>This page describes how to build a powerful, multi-stage agent with the Cohere platform.</description></item><item><title>Agentic or Tool use</title><link>https://learn-ai.blindshot.kz/docs/ragas/concepts/metrics/available_metrics/agents/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/concepts/metrics/available_metrics/agents/_overview/</guid><description/></item><item><title>Agentic RAG for PDFs with mixed data</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/agentic-rag-mixed-data/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/agentic-rag-mixed-data/</guid><description>This page describes building a powerful, multi-step chatbot with Cohere&amp;rsquo;s models.</description></item><item><title>Agentic Search</title><link>https://learn-ai.blindshot.kz/docs/chroma/guides/build/agentic-search/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/guides/build/agentic-search/</guid><description>Build agents that iteratively search and refine results to answer complex queries.</description></item><item><title>Agents</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/concepts/agents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/concepts/agents/</guid><description>Learn about agents in the Agent User Interaction Protocol</description></item><item><title>Agents</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/concepts/agents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/concepts/agents/</guid><description>Detailed guide on creating and managing agents within the CrewAI framework.</description></item><item><title>Agents</title><link>https://learn-ai.blindshot.kz/docs/google/adk/agents/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/agents/_overview/</guid><description/></item><item><title>Agents</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/agents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/agents/</guid><description/></item><item><title>Agents</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/agents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/agents/</guid><description/></item><item><title>Agents</title><link>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/agents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/agents/</guid><description>Configure agent instructions, tools, guardrails, memory, and streaming behavior.</description></item><item><title>Agents</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/agent/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/agent/_overview/</guid><description/></item><item><title>Agents &amp; Conversations</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/agents/agents_and_conversations/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/agents/agents_and_conversations/</guid><description>Agents &amp;amp; Conversations API: Create, manage agents with tools, and handle interactive conversations with persistent history</description></item><item><title>Agents Function Calling</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/agents/agents_function_calling/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/agents/agents_function_calling/</guid><description>Agents use tools and function calling to perform tasks, with built-in and customizable options</description></item><item><title>Agents Handoffs</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/agents/handoffs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/agents/handoffs/</guid><description>Agents Handoffs enable seamless task delegation and workflow automation between multiple agents with diverse tools and capabilities</description></item><item><title>Agents Introduction</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/agents/agents_introduction/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/agents/agents_introduction/</guid><description>Introduction to Mistral&amp;rsquo;s agent system — autonomous task execution with tools, state persistence, connectors (code interpreter, web search), and multi-agent collaboration.</description></item><item><title>Agents Overview</title><link>https://learn-ai.blindshot.kz/docs/microsoft/agent-framework/agents-overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/microsoft/agent-framework/agents-overview/</guid><description>Core agent abstraction in the Microsoft Agent Framework: agent types, providers, skills, and conversation management.</description></item><item><title>Agents SDK</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/agents-sdk/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/agents-sdk/</guid><description>Learn how to build agents with the OpenAI Agents SDK.</description></item><item><title>AgentSubscriber</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/js/client/subscriber/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/js/client/subscriber/</guid><description>Event-driven subscriber system for agent lifecycle and event handling</description></item><item><title>Agno</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/agno/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/agno/</guid><description>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.</description></item><item><title>AI Mind Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/ai-ml/aimindtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/ai-ml/aimindtool/</guid><description>The &amp;lsquo;AIMindTool&amp;rsquo; is designed to query data sources in natural language.</description></item><item><title>AI Models for ADK agents</title><link>https://learn-ai.blindshot.kz/docs/google/adk/agents/models/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/agents/models/_overview/</guid><description/></item><item><title>Analysis of Form 10-K/10-Q Using Cohere and RAG</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/analysis-of-financial-forms/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/analysis-of-financial-forms/</guid><description>This page describes how to use Cohere&amp;rsquo;s large language models to build an agent able to analyze financial forms like a 10-K or a 10-Q.</description></item><item><title>API Documentation</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/system/api-documentation/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/system/api-documentation/</guid><description>A local reference to the Agent Server API documentation.</description></item><item><title>Apify Actors</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/automation/apifyactorstool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/automation/apifyactorstool/</guid><description>&amp;lsquo;ApifyActorsTool&amp;rsquo; lets you call Apify Actors to provide your CrewAI workflows with web scraping, crawling, data extraction, and web automation capabilities.</description></item><item><title>Apigee AI Gateway</title><link>https://learn-ai.blindshot.kz/docs/google/adk/agents/models/apigee/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/agents/models/apigee/_overview/</guid><description/></item><item><title>Arize Phoenix</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/observability/arize-phoenix/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/observability/arize-phoenix/</guid><description>Arize Phoenix integration for CrewAI with OpenTelemetry and OpenInference</description></item><item><title>Arxiv Paper Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/arxivpapertool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/arxivpapertool/</guid><description>The &amp;lsquo;ArxivPaperTool&amp;rsquo; searches arXiv for papers matching a query and optionally downloads PDFs.</description></item><item><title>Asana Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/asana/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/asana/</guid><description>Team task and project coordination with Asana integration for CrewAI.</description></item><item><title>Async subagents</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/async-subagents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/async-subagents/</guid><description>Launch background subagents that run concurrently while the supervisor continues interacting with the user</description></item><item><title>Async subagents</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/async-subagents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/async-subagents/</guid><description>Launch background subagents that run concurrently while the supervisor continues interacting with the user</description></item><item><title>Auth-aware tool responses</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-auth-format/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-auth-format/</guid><description>Format tool responses to trigger OAuth flows and resume execution automatically.</description></item><item><title>AutoGen</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/autogen/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/autogen/</guid><description>Use Weave to track and monitor AutoGen agents and multi-agent systems</description></item><item><title>AutoGen Overview</title><link>https://learn-ai.blindshot.kz/docs/microsoft/autogen/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/microsoft/autogen/overview/</guid><description>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.</description></item><item><title>Automations</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/features/automations/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/features/automations/</guid><description>Manage, deploy, and monitor your live crews (automations) in one place.</description></item><item><title>Azure OpenAI Setup</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/azure-openai-setup/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/azure-openai-setup/</guid><description>Configure Azure OpenAI with Crew Studio for enterprise LLM connections</description></item><item><title>Backends</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/backends/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/backends/</guid><description>Choose and configure filesystem backends for deep agents. You can specify routes to different backends, implement virtual filesystems, and enforce policies.</description></item><item><title>Backends</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/backends/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/backends/</guid><description>Choose and configure filesystem backends for deep agents. You can specify routes to different backends, implement virtual filesystems, and enforce policies.</description></item><item><title>Bash Tool</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/bash-tool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/bash-tool/</guid><description>&lt;p&gt;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.&lt;/p&gt;</description></item><item><title>Basic usage of tool use (function calling)</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/tool-use-overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/tool-use-overview/</guid><description>Overview of Cohere&amp;rsquo;s tool use system for building agentic workflows — with native citation support that links tool results back to generated text.</description></item><item><title>Bedrock Invoke Agent Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/integration/bedrockinvokeagenttool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/integration/bedrockinvokeagenttool/</guid><description>Enables CrewAI agents to invoke Amazon Bedrock Agents and leverage their capabilities within your workflows</description></item><item><title>Bedrock Knowledge Base Retriever</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/cloud-storage/bedrockkbretriever/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/cloud-storage/bedrockkbretriever/</guid><description>Retrieve information from Amazon Bedrock Knowledge Bases using natural language queries</description></item><item><title>Best Practices</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/agent-skills/best-practices/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/agent-skills/best-practices/</guid><description>&lt;p&gt;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.&lt;/p&gt;</description></item><item><title>Box Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/box/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/box/</guid><description>File storage and document management with Box integration for CrewAI.</description></item><item><title>Braintrust</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/observability/braintrust/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/observability/braintrust/</guid><description>Braintrust integration for CrewAI with OpenTelemetry tracing and evaluation</description></item><item><title>Brave Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/bravesearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/bravesearchtool/</guid><description>The &amp;lsquo;BraveSearchTool&amp;rsquo; is designed to search the internet using the Brave Search API.</description></item><item><title>Bright Data Tools</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/brightdata-tools/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/brightdata-tools/</guid><description>Bright Data integrations for SERP search, Web Unlocker scraping, and Dataset API.</description></item><item><title>Browserbase Web Loader</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/browserbaseloadtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/browserbaseloadtool/</guid><description>Browserbase is a developer platform to reliably run, manage, and monitor headless browsers.</description></item><item><title>Build a content builder agent</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/content-builder/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/content-builder/</guid><description>Build a content writing agent with brand memory, skills, subagents, and image generation</description></item><item><title>Build a content builder agent</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/content-builder/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/content-builder/</guid><description>Build a content writing agent with brand memory, skills, subagents, and image generation</description></item><item><title>Build a custom RAG agent with LangGraph</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/agentic-rag/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/agentic-rag/</guid><description/></item><item><title>Build a custom RAG agent with LangGraph</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/agentic-rag/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/agentic-rag/</guid><description>&lt;p&gt;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&amp;rsquo;s retrieval patterns and Cohere&amp;rsquo;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.&lt;/p&gt;</description></item><item><title>Build a custom SQL agent</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/sql-agent/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/sql-agent/</guid><description/></item><item><title>Build a data analysis agent</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/data-analysis/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/data-analysis/</guid><description>Build an agent that analyzes data files, generates visualizations, and shares results</description></item><item><title>Build a deep research agent</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/deep-research/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/deep-research/</guid><description>Build a multi-step web research agent with subagent delegation</description></item><item><title>Build a deep research agent</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/deep-research/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/deep-research/</guid><description>Build a multi-step web research agent with subagent delegation</description></item><item><title>Build a multi-source knowledge base with routing</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/multi-agent/router-knowledge-base/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/multi-agent/router-knowledge-base/</guid><description/></item><item><title>Build a multi-source knowledge base with routing</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/multi-agent/router-knowledge-base/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/multi-agent/router-knowledge-base/</guid><description>&lt;p&gt;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&amp;rsquo;s delegation model and LangGraph&amp;rsquo;s conditional edges to understand the tradeoffs between explicit routing and emergent coordination.&lt;/p&gt;</description></item><item><title>Build a personal assistant with subagents</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/multi-agent/subagents-personal-assistant/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/multi-agent/subagents-personal-assistant/</guid><description/></item><item><title>Build a personal assistant with subagents</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/multi-agent/subagents-personal-assistant/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/multi-agent/subagents-personal-assistant/</guid><description/></item><item><title>Build a Phone Voice Agent with Together AI</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/how-to-build-phone-voice-agent/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/how-to-build-phone-voice-agent/</guid><description>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.</description></item><item><title>Build a RAG agent with LangChain</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/rag/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/rag/</guid><description/></item><item><title>Build a RAG agent with LangChain</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/rag/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/rag/</guid><description>&lt;p&gt;This guide assembles LangChain&amp;rsquo;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.&lt;/p&gt;</description></item><item><title>Build a SQL agent</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/sql-agent/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/sql-agent/</guid><description/></item><item><title>Build a SQL agent</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/sql-agent/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/sql-agent/</guid><description/></item><item><title>Build a SQL Agent with Cohere's LLM Platform</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/sql-agent/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/sql-agent/</guid><description>This page contains a tutorial on how to build a SQL agent with Cohere&amp;rsquo;s LLM platform.</description></item><item><title>Build a SQL assistant with on-demand skills</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/multi-agent/skills-sql-assistant/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/multi-agent/skills-sql-assistant/</guid><description/></item><item><title>Build a SQL assistant with on-demand skills</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/multi-agent/skills-sql-assistant/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/multi-agent/skills-sql-assistant/</guid><description/></item><item><title>Build a streaming agent</title><link>https://learn-ai.blindshot.kz/docs/google/adk/get-started/streaming/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/get-started/streaming/_overview/</guid><description/></item><item><title>Build A Tool Using Agent</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/build-a-tool-using-agent/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/build-a-tool-using-agent/</guid><description/></item><item><title>Build a voice agent with LangChain</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/voice-agent/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/voice-agent/</guid><description/></item><item><title>Build a voice agent with LangChain</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/voice-agent/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/voice-agent/</guid><description/></item><item><title>Build applications</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/quickstart/applications/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/quickstart/applications/</guid><description>Build agentic applications utilizing compatible event AG-UI event streams</description></item><item><title>Build clients</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/quickstart/clients/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/quickstart/clients/</guid><description>Showcase: build a conversational CLI agent from scratch using AG-UI and Mastra</description></item><item><title>Build Crew</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/build-crew/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/build-crew/</guid><description>A Crew is a group of agents that work together to complete a task.</description></item><item><title>Build customer support with handoffs</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/multi-agent/handoffs-customer-support/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/multi-agent/handoffs-customer-support/</guid><description/></item><item><title>Build customer support with handoffs</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/multi-agent/handoffs-customer-support/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/multi-agent/handoffs-customer-support/</guid><description/></item><item><title>Build with Agent Skills</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/docs/develop/build-with-agent-skills/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/docs/develop/build-with-agent-skills/</guid><description>Use agent skills to guide AI coding assistants through MCP server design and implementation</description></item><item><title>Build your agent with ADK</title><link>https://learn-ai.blindshot.kz/docs/google/adk/tutorials/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/tutorials/_overview/</guid><description/></item><item><title>Build Your First Crew</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/guides/crews/first-crew/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/guides/crews/first-crew/</guid><description>Step-by-step tutorial to create a collaborative AI team that works together to solve complex problems.</description></item><item><title>Build Your First Flow</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/guides/flows/first-flow/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/guides/flows/first-flow/</guid><description>Learn how to create structured, event-driven workflows with precise control over execution.</description></item><item><title>Building a Generative AI Agent with Cohere</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/building-an-agent-with-cohere/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/building-an-agent-with-cohere/</guid><description>This page describes building a generative-AI powered agent with Cohere.</description></item><item><title>Building Agentic RAG with Cohere</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/agentic-rag/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/agentic-rag/</guid><description>Hands-on tutorials on building agentic RAG applications with Cohere</description></item><item><title>Building AI Agents with DSPy</title><link>https://learn-ai.blindshot.kz/docs/dspy/tutorials/customer_service_agent/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/dspy/tutorials/customer_service_agent/_overview/</guid><description/></item><item><title>Building An AI Data Analyst</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/data-analyst-agent/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/data-analyst-agent/</guid><description>Learn how to use code interpreter to build an AI data analyst with E2B and Together AI.</description></item><item><title>Building an LLM Agent with the Cohere API</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/agent-api-calls/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/agent-api-calls/</guid><description>This page how to use Cohere&amp;rsquo;s API to build an LLM-based agent.</description></item><item><title>Building RAG as Agent</title><link>https://learn-ai.blindshot.kz/docs/dspy/tutorials/agents/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/dspy/tutorials/agents/_overview/</guid><description/></item><item><title>Calendar Agent with Native Multi Step Tool</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/calendar-agent/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/calendar-agent/</guid><description>This page describes how to use cohere Chat API with list_calendar_events and create_calendar_event tools to book appointments.</description></item><item><title>Call agents from code</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-code/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-code/</guid><description>Invoke Agent Builder agents from Python, JavaScript, or any language through the REST API.</description></item><item><title>Call agents from code</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/code/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/code/</guid><description>Invoke Fleet agents from Python, JavaScript, or any language through the REST API.</description></item><item><title>Callbacks: Observe, Customize, and Control Agent Behavior</title><link>https://learn-ai.blindshot.kz/docs/google/adk/callbacks/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/callbacks/_overview/</guid><description/></item><item><title>Cancel Run</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/thread-runs/cancel-run/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/thread-runs/cancel-run/</guid><description/></item><item><title>Cancel Runs</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/thread-runs/cancel-runs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/thread-runs/cancel-runs/</guid><description>Cancel one or more runs. Can cancel runs by thread ID and run IDs, or by status filter.</description></item><item><title>Capabilities</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/concepts/capabilities/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/concepts/capabilities/</guid><description>Dynamic capability discovery for agents in the AG-UI protocol</description></item><item><title>Channels</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/channels/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/channels/</guid><description>Configure channels to trigger your Fleet agents automatically.</description></item><item><title>Citations and References</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/citations_and_references/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/citations_and_references/</guid><description>Citations and references enable models to ground responses with sources, ideal for RAG and agentic applications</description></item><item><title>Claude</title><link>https://learn-ai.blindshot.kz/docs/google/adk/agents/models/anthropic/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/agents/models/anthropic/_overview/</guid><description/></item><item><title>Claude Agent SDK</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/claude_agent/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/claude_agent/</guid><description>Use W&amp;amp;B Weave with the Claude Agent SDK to trace your agent&amp;rsquo;s queries, tool calls, and multi-turn conversations.</description></item><item><title>Claude Api Skill</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/agent-skills/claude-api-skill/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/agent-skills/claude-api-skill/</guid><description/></item><item><title>Claude Code Features</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/claude-code-features/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/claude-code-features/</guid><description/></item><item><title>Claude Code overview</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/overview/</guid><description>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.</description></item><item><title>CLI</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/concepts/cli/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/concepts/cli/</guid><description>Learn how to use the CrewAI CLI to interact with CrewAI.</description></item><item><title>ClickUp Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/clickup/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/clickup/</guid><description>Task and productivity management with ClickUp integration for CrewAI.</description></item><item><title>Cline with W&amp;B Inference</title><link>https://learn-ai.blindshot.kz/docs/wandb/inference/tutorials/integration-cline/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/inference/tutorials/integration-cline/</guid><description>Learn how to configure the Cline coding agent to use W&amp;amp;B Inference.</description></item><item><title>Code Docs RAG Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/codedocssearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/codedocssearchtool/</guid><description>The &amp;lsquo;CodeDocsSearchTool&amp;rsquo; is a powerful RAG (Retrieval-Augmented Generation) tool designed for semantic searches within code documentation.</description></item><item><title>Code Execution</title><link>https://learn-ai.blindshot.kz/docs/microsoft/autogen/code-execution/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/microsoft/autogen/code-execution/</guid><description>Sandboxed code execution in AutoGen: Docker-based and local executors for running agent-generated code safely.</description></item><item><title>Code Execution Tool</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/code-execution-tool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/code-execution-tool/</guid><description>&lt;p&gt;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&amp;rsquo;s response rather than asking the user to run code separately.&lt;/p&gt;</description></item><item><title>Code generation</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/code-generation/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/code-generation/</guid><description>Learn how to use OpenAI Codex models to generate code and build coding agents.</description></item><item><title>Code Interpreter</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/ai-ml/codeinterpretertool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/ai-ml/codeinterpretertool/</guid><description>The &amp;lsquo;CodeInterpreterTool&amp;rsquo; is a powerful tool designed for executing Python 3 code within a secure, isolated environment.</description></item><item><title>Code Interpreter</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/agents/connectors/code_interpreter/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/agents/connectors/code_interpreter/</guid><description>Code Interpreter enables safe, on-demand code execution for data analysis, graphing, and more in isolated containers</description></item><item><title>Code Review</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/code-review/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/code-review/</guid><description>Set up automated PR reviews that catch logic errors, security vulnerabilities, and regressions using multi-agent analysis of your full codebase</description></item><item><title>Coding</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/coding/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/coding/</guid><description>Mistral AI offers Codestral for code generation &amp;amp; FIM, and Devstral for agentic tool use in software development, with integrations for IDEs and frameworks</description></item><item><title>Coding Agent Skills</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/coding-agent-skills/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/coding-agent-skills/_overview/</guid><description/></item><item><title>Coding Agents</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/learn/coding-agents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/learn/coding-agents/</guid><description>Learn how to enable your CrewAI Agents to write and execute code, and explore advanced features for enhanced functionality.</description></item><item><title>Coding Tools</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/guides/coding-tools/agents-md/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/guides/coding-tools/agents-md/</guid><description>Use AGENTS.md to guide coding agents and IDEs across your CrewAI projects.</description></item><item><title>Cohere Cookbooks: Build AI Agents and Solutions</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/cookbooks/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/cookbooks/</guid><description>Get started with Cohere&amp;rsquo;s cookbooks to build agents, QA bots, perform searches, and more, all organized by category.</description></item><item><title>Cohere's Command A Reasoning Model</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/command-a-reasoning/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/command-a-reasoning/</guid><description>Command A Reasoning excels in tool use, agentic workflows, and complex problem-solving. It has 111 billion parameters and a 256k context length.</description></item><item><title>Cohere's Command R7B Model</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/command-r7b/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/command-r7b/</guid><description>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.</description></item><item><title>Collaboration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/concepts/collaboration/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/concepts/collaboration/</guid><description>How to enable agents to work together, delegate tasks, and communicate effectively within CrewAI teams.</description></item><item><title>Collaborative agents</title><link>https://learn-ai.blindshot.kz/docs/google/adk/workflows/collaboration/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/workflows/collaboration/_overview/</guid><description/></item><item><title>Command A</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/command-a/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/command-a/</guid><description>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.</description></item><item><title>Comparison with OpenCode and Claude Agent SDK</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/comparison/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/comparison/</guid><description>Compare LangChain Deep Agents with OpenCode and Claude Agent SDK to choose the right tool for your use case</description></item><item><title>Comparison with OpenCode and Claude Agent SDK</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/comparison/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/comparison/</guid><description>Compare LangChain Deep Agents with OpenCode and Claude Agent SDK to choose the right tool for your use case</description></item><item><title>Composio Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/automation/composiotool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/automation/composiotool/</guid><description>Composio provides 250+ production-ready tools for AI agents with flexible authentication management.</description></item><item><title>Computer use</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/tools-computer-use/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/tools-computer-use/</guid><description>Enable models to interact with computer interfaces — clicking, typing, and navigating applications via screenshots, creating agents that can operate any software.</description></item><item><title>Computer Use Tool</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/computer-use-tool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/computer-use-tool/</guid><description>&lt;p&gt;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 &amp;ndash; 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.&lt;/p&gt;</description></item><item><title>Conditional Tasks</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/learn/conditional-tasks/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/learn/conditional-tasks/</guid><description>Learn how to use conditional tasks in a crewAI kickoff</description></item><item><title>Configuration</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/cli/configuration/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/cli/configuration/</guid><description>Configure the Deep Agents CLI with config.toml, hooks, and MCP servers</description></item><item><title>Configuration</title><link>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/config/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/config/</guid><description>Tune model selection, retry logic, rate limits, and runner policies for production workloads.</description></item><item><title>Configure checkpointer backend</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/configure-checkpointer/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/configure-checkpointer/</guid><description>Configure Agent Server to use PostgreSQL, MongoDB, or a custom implementation for checkpoint storage.</description></item><item><title>Configure LangSmith Agent Server for scale</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-scale/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-scale/</guid><description/></item><item><title>Connect to any LLM</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/learn/llm-connections/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/learn/llm-connections/</guid><description>Comprehensive guide on integrating CrewAI with various Large Language Models (LLMs) using LiteLLM, including supported providers and configuration options.</description></item><item><title>Connecting to Multiple MCP Servers</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/mcp/multiple-servers/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/mcp/multiple-servers/</guid><description>Learn how to use MCPServerAdapter in CrewAI to connect to multiple MCP servers simultaneously and aggregate their tools.</description></item><item><title>Connectors Overview</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/agents/connectors/connectors_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/agents/connectors/connectors_overview/</guid><description>Connectors enable Agents and users to access tools like websearch, code interpreter, image generation, and document library on demand</description></item><item><title>Context engineering in agents</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/context-engineering/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/context-engineering/</guid><description/></item><item><title>Context engineering in agents</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/context-engineering/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/context-engineering/</guid><description/></item><item><title>Context engineering in Deep Agents</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/context-engineering/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/context-engineering/</guid><description>Control what context your deep agent has access to and how it is managed across long-running tasks</description></item><item><title>Context engineering in Deep Agents</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/context-engineering/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/context-engineering/</guid><description>Control what context your deep agent has access to and how it is managed across long-running tasks</description></item><item><title>Context strategies</title><link>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/context/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/context/</guid><description>Control what past messages, attachments, and tool runs are injected into prompts.</description></item><item><title>Contributing</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/development/contributing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/development/contributing/</guid><description>How to participate in Agent User Interaction Protocol development</description></item><item><title>ConversableAgent</title><link>https://learn-ai.blindshot.kz/docs/microsoft/autogen/conversable-agent/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/microsoft/autogen/conversable-agent/</guid><description>The ConversableAgent base class: configurable with system messages, LLM models, tool registrations, and code execution capabilities.</description></item><item><title>Copy Thread</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/copy-thread/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/copy-thread/</guid><description>Create a new thread with a copy of the state and checkpoints from an existing thread.</description></item><item><title>Core architecture</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/concepts/architecture/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/concepts/architecture/</guid><description>Understand how AG-UI connects front-end applications to AI agents</description></item><item><title>Core capabilities overview</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/core-capabilities/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/core-capabilities/</guid><description>Overview of Agent Server core capabilities including streaming, human-in-the-loop, MCP, A2A, distributed tracing, webhooks, and double-texting.</description></item><item><title>Cost Tracking</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/cost-tracking/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/cost-tracking/</guid><description>&lt;p&gt;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.&lt;/p&gt;</description></item><item><title>Count Assistants</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/assistants/count-assistants/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/assistants/count-assistants/</guid><description>Get the count of assistants matching the specified criteria.</description></item><item><title>Count Crons</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/crons/count-crons/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/crons/count-crons/</guid><description>Get the count of crons matching the specified criteria.</description></item><item><title>Count Threads</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/count-threads/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/count-threads/</guid><description>Get the count of threads matching the specified criteria.</description></item><item><title>Crafting Effective Agents</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/guides/agents/crafting-effective-agents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/guides/agents/crafting-effective-agents/</guid><description>Learn best practices for designing powerful, specialized AI agents that collaborate effectively to solve complex problems.</description></item><item><title>Create Assistant</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/assistants/create-assistant/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/assistants/create-assistant/</guid><description>Create an assistant.</description></item><item><title>Create Background Run</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/stateless-runs/create-background-run/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/stateless-runs/create-background-run/</guid><description>Create a run and return the run ID immediately. Don&amp;rsquo;t wait for the final run output.</description></item><item><title>Create Background Run</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/thread-runs/create-background-run/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/thread-runs/create-background-run/</guid><description>Create a run in existing thread, return the run ID immediately. Don&amp;rsquo;t wait for the final run output.</description></item><item><title>Create Cron</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/crons/create-cron/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/crons/create-cron/</guid><description>Create a cron to schedule runs on new threads.</description></item><item><title>Create custom subagents</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/sub-agents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/sub-agents/</guid><description>Create and use specialized AI subagents in Claude Code for task-specific workflows and improved context management.</description></item><item><title>Create Custom Tools</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/learn/create-custom-tools/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/learn/create-custom-tools/</guid><description>Comprehensive guide on crafting, using, and managing custom tools within the CrewAI framework, including new functionalities and error handling.</description></item><item><title>Create plugins</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/plugins/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/plugins/</guid><description>Create custom plugins to extend Claude Code with skills, agents, hooks, and MCP servers.</description></item><item><title>Create Run Batch</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/stateless-runs/create-run-batch/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/stateless-runs/create-run-batch/</guid><description>Create a batch of runs and return immediately.</description></item><item><title>Create Run, Stream Output</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/stateless-runs/create-run-stream-output/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/stateless-runs/create-run-stream-output/</guid><description>Create a run and stream the output.</description></item><item><title>Create Run, Stream Output</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/thread-runs/create-run-stream-output/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/thread-runs/create-run-stream-output/</guid><description>Create a run in existing thread. Stream the output.</description></item><item><title>Create Run, Wait for Output</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/stateless-runs/create-run-wait-for-output/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/stateless-runs/create-run-wait-for-output/</guid><description>Create a run, wait for the final output and then return it.</description></item><item><title>Create Run, Wait for Output</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/thread-runs/create-run-wait-for-output/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/thread-runs/create-run-wait-for-output/</guid><description>Create a run in existing thread. Wait for the final output and then return it.</description></item><item><title>Create Thread</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/create-thread/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/create-thread/</guid><description>Create a thread.</description></item><item><title>Create Thread Cron</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/crons/create-thread-cron/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/crons/create-thread-cron/</guid><description>Create a cron to schedule runs on a thread.</description></item><item><title>Crew Studio</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/features/crew-studio/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/features/crew-studio/</guid><description>Build new automations with AI assistance, a visual editor, and integrated testing.</description></item><item><title>CrewAI</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/crewai/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/crewai/</guid><description>Using CrewAI with Together</description></item><item><title>CrewAI</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/crewai/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/crewai/</guid><description>Integrate CrewAI with Weave for monitoring and tracing multi-agent applications</description></item><item><title>CrewAI AMP</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/introduction/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/introduction/</guid><description>Deploy, monitor, and scale your AI agent workflows</description></item><item><title>CrewAI Cookbooks</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/examples/cookbooks/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/examples/cookbooks/</guid><description>Feature-focused quickstarts and notebooks for learning patterns fast.</description></item><item><title>CrewAI Documentation</title><link>https://learn-ai.blindshot.kz/docs/crewai/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/_overview/</guid><description>Build collaborative AI agents, crews, and flows — production ready from day one.</description></item><item><title>CrewAI Examples</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/examples/example/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/examples/example/</guid><description>Explore curated examples organized by Crews, Flows, Integrations, and Notebooks.</description></item><item><title>CrewAI Run Automation Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/integration/crewaiautomationtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/integration/crewaiautomationtool/</guid><description>Enables CrewAI agents to invoke CrewAI Platform automations and leverage external crew services within your workflows.</description></item><item><title>CrewAI Tracing</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/observability/tracing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/observability/tracing/</guid><description>Built-in tracing for CrewAI Crews and Flows with the CrewAI AMP platform</description></item><item><title>CrewGPT</title><link>https://learn-ai.blindshot.kz/docs/crewai/g/g-qqtuuwsby-crewai-assistant/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/g/g-qqtuuwsby-crewai-assistant/</guid><description/></item><item><title>Crews</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/concepts/crews/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/concepts/crews/</guid><description>Understanding and utilizing crews in the crewAI framework with comprehensive attributes and functionalities.</description></item><item><title>CSV RAG Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/csvsearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/csvsearchtool/</guid><description>The &amp;lsquo;CSVSearchTool&amp;rsquo; is a powerful RAG (Retrieval-Augmented Generation) tool designed for semantic searches within a CSV file&amp;rsquo;s content.</description></item><item><title>Custom agents</title><link>https://learn-ai.blindshot.kz/docs/google/adk/agents/custom-agents/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/agents/custom-agents/_overview/</guid><description/></item><item><title>Custom LLM Implementation</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/learn/custom-llm/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/learn/custom-llm/</guid><description>Learn how to create custom LLM implementations in CrewAI.</description></item><item><title>Custom Manager Agent</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/learn/custom-manager-agent/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/learn/custom-manager-agent/</guid><description>Learn how to set a custom agent as the manager in CrewAI, providing more control over task management and coordination.</description></item><item><title>Custom MCP Servers</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/custom-mcp-server/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/custom-mcp-server/</guid><description>Connect your own MCP servers to CrewAI AMP with public access, API key authentication, or OAuth 2.0</description></item><item><title>Custom model providers</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/cli/providers/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/cli/providers/</guid><description>Configure any LangChain-compatible model provider for the Deep Agents CLI</description></item><item><title>Custom model providers</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/cli/providers/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/cli/providers/</guid><description>Configure any LangChain-compatible model provider for the Deep Agents CLI</description></item><item><title>Custom Tools</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/custom-tools/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/custom-tools/</guid><description>&lt;p&gt;Custom tools are how you give your agent the ability to take actions beyond conversation &amp;ndash; calling APIs, querying databases, executing code, or interacting with any external system. Focus on how the tool&amp;rsquo;s JSON schema definition directly affects the model&amp;rsquo;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.&lt;/p&gt;</description></item><item><title>Custom workflow</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/multi-agent/custom-workflow/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/multi-agent/custom-workflow/</guid><description/></item><item><title>Custom workflow</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/multi-agent/custom-workflow/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/multi-agent/custom-workflow/</guid><description/></item><item><title>Customer Support Chat</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/about-claude/use-case-guides/customer-support-chat/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/about-claude/use-case-guides/customer-support-chat/</guid><description>Building an AI-powered customer support chatbot with Claude, including architecture patterns and quality safeguards.</description></item><item><title>Customize Agents</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/learn/customizing-agents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/learn/customizing-agents/</guid><description>A comprehensive guide to tailoring agents for specific roles, tasks, and advanced customizations within the CrewAI framework.</description></item><item><title>Customize Deep Agents</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/customization/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/customization/</guid><description>Learn how to customize deep agents with system prompts, tools, subagents, and more</description></item><item><title>Customize Deep Agents</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/customization/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/customization/</guid><description>Learn how to customize deep agents with system prompts, tools, subagents, and more</description></item><item><title>Customizing Prompts</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/guides/advanced/customizing-prompts/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/guides/advanced/customizing-prompts/</guid><description>Dive deeper into low-level prompt customization for CrewAI, enabling super custom and complex use cases for different models and languages.</description></item><item><title>DALL-E Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/ai-ml/dalletool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/ai-ml/dalletool/</guid><description>The &amp;lsquo;DallETool&amp;rsquo; is a powerful tool designed for generating images from textual descriptions.</description></item><item><title>Databricks SQL Query Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/databricks-query-tool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/databricks-query-tool/</guid><description>The &amp;lsquo;DatabricksQueryTool&amp;rsquo; executes SQL queries against Databricks workspace tables.</description></item><item><title>Datadog Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/observability/datadog/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/observability/datadog/</guid><description>Learn how to integrate Datadog with CrewAI to submit LLM Observability traces to Datadog.</description></item><item><title>Debugging</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/tutorials/debugging/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/tutorials/debugging/</guid><description>A comprehensive guide to debugging Agent User Interaction Protocol (AG-UI) integrations</description></item><item><title>Deep Agents</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/reference/deepagents-javascript/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/reference/deepagents-javascript/</guid><description/></item><item><title>Deep Agents</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/reference/deepagents-python/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/reference/deepagents-python/</guid><description/></item><item><title>Deep Agents CLI</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/cli/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/cli/overview/</guid><description>Terminal coding agent built on the Deep Agents SDK</description></item><item><title>Deep Agents CLI</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/cli/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/cli/overview/</guid><description>Terminal coding agent built on the Deep Agents SDK</description></item><item><title>Deep Agents overview</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/overview/</guid><description>Build agents that can plan, use subagents, and leverage file systems for complex tasks</description></item><item><title>Deep Agents overview</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/overview/</guid><description>Build agents that can plan, use subagents, and leverage file systems for complex tasks</description></item><item><title>Deep research</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/deep-research/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/deep-research/</guid><description>Use deep research models for autonomous multi-step research tasks — the model browses the web, synthesizes information, and produces comprehensive reports.</description></item><item><title>Define Tools</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/define-tools/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/define-tools/</guid><description/></item><item><title>Delete an item.</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/store/delete-an-item/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/store/delete-an-item/</guid><description/></item><item><title>Delete Assistant</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/assistants/delete-assistant/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/assistants/delete-assistant/</guid><description>Delete an assistant by ID.</description></item><item><title>Delete Cron</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/crons/delete-cron/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/crons/delete-cron/</guid><description>Delete a cron by ID.</description></item><item><title>Delete Run</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/thread-runs/delete-run/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/thread-runs/delete-run/</guid><description>Delete a run by ID.</description></item><item><title>Delete Thread</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/delete-thread/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/delete-thread/</guid><description>Delete a thread by ID.</description></item><item><title>Deploy to AMP</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/deploy-to-amp/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/deploy-to-amp/</guid><description>Deploy your Crew or Flow to CrewAI AMP</description></item><item><title>Deploy to Vertex AI Agent Engine</title><link>https://learn-ai.blindshot.kz/docs/google/adk/deploy/agent-engine/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/deploy/agent-engine/_overview/</guid><description/></item><item><title>Deploying Your Agent</title><link>https://learn-ai.blindshot.kz/docs/google/adk/deploy/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/deploy/_overview/</guid><description/></item><item><title>Development</title><link>https://learn-ai.blindshot.kz/docs/deepeval/tutorials/rag-qa-agent/development/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/tutorials/rag-qa-agent/development/</guid><description/></item><item><title>Development</title><link>https://learn-ai.blindshot.kz/docs/deepeval/tutorials/summarization-agent/development/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/tutorials/summarization-agent/development/</guid><description/></item><item><title>Directory RAG Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/directorysearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/directorysearchtool/</guid><description>The &amp;lsquo;DirectorySearchTool&amp;rsquo; is a powerful RAG (Retrieval-Augmented Generation) tool designed for semantic searches within a directory&amp;rsquo;s content.</description></item><item><title>Directory Read</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/directoryreadtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/directoryreadtool/</guid><description>The &amp;lsquo;DirectoryReadTool&amp;rsquo; is a powerful utility designed to provide a comprehensive listing of directory contents.</description></item><item><title>Discover and install prebuilt plugins through marketplaces</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/discover-plugins/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/discover-plugins/</guid><description>Find and install plugins from marketplaces to extend Claude Code with new commands, agents, and capabilities.</description></item><item><title>Discover errors and usage patterns with the Insights Agent</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/insights/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/insights/</guid><description/></item><item><title>Distributed tracing with Agent Server</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-distributed-tracing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-distributed-tracing/</guid><description>Unify traces when calling your deployed Agent Server from another service using RemoteGraph or the SDK.</description></item><item><title>Document Library</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/agents/connectors/document_library/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/agents/connectors/document_library/</guid><description>Document Library enhances agents with uploaded documents via Mistral Cloud&amp;rsquo;s built-in RAG tool</description></item><item><title>DOCX RAG Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/docxsearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/docxsearchtool/</guid><description>The &amp;lsquo;DOCXSearchTool&amp;rsquo; is a RAG tool designed for semantic searching within DOCX documents.</description></item><item><title>Enable Crew Studio</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/enable-crew-studio/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/enable-crew-studio/</guid><description>Enabling Crew Studio on CrewAI AMP</description></item><item><title>Enterprise</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/agent-skills/enterprise/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/agent-skills/enterprise/</guid><description>&lt;p&gt;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&amp;rsquo;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.&lt;/p&gt;</description></item><item><title>enterprise-api.base</title><link>https://learn-ai.blindshot.kz/docs/crewai/enterprise-api.base/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/enterprise-api.base/</guid><description/></item><item><title>enterprise-api.en</title><link>https://learn-ai.blindshot.kz/docs/crewai/enterprise-api/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/enterprise-api/</guid><description/></item><item><title>enterprise-api.ko</title><link>https://learn-ai.blindshot.kz/docs/crewai/enterprise-api.ko/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/enterprise-api.ko/</guid><description/></item><item><title>enterprise-api.pt-BR</title><link>https://learn-ai.blindshot.kz/docs/crewai/enterprise-api.pt-br/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/enterprise-api.pt-br/</guid><description/></item><item><title>Essentials</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-essentials/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-essentials/</guid><description>Agent Builder&amp;rsquo;s core features</description></item><item><title>Evals</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/test/evals/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/test/evals/</guid><description>Evaluate agent trajectories using deterministic matching or LLM-as-judge evaluators with AgentEvals and LangSmith.</description></item><item><title>Evals</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/test/evals/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/test/evals/</guid><description>Evaluate agent trajectories using deterministic matching or LLM-as-judge evaluators with AgentEvals and LangSmith.</description></item><item><title>Evals In Prod</title><link>https://learn-ai.blindshot.kz/docs/deepeval/tutorials/rag-qa-agent/evals-in-prod/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/tutorials/rag-qa-agent/evals-in-prod/</guid><description/></item><item><title>Evals In Prod</title><link>https://learn-ai.blindshot.kz/docs/deepeval/tutorials/summarization-agent/evals-in-prod/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/tutorials/summarization-agent/evals-in-prod/</guid><description/></item><item><title>Evaluate a complex agent</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/evaluate-complex-agent/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/evaluate-complex-agent/</guid><description/></item><item><title>Evaluate a Text-to-SQL Agent</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/applications/text2sql/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/applications/text2sql/_overview/</guid><description/></item><item><title>Evaluate an AI Agent</title><link>https://learn-ai.blindshot.kz/docs/ragas/tutorials/agent/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/tutorials/agent/_overview/</guid><description/></item><item><title>Evaluating Use Cases for CrewAI</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/guides/concepts/evaluating-use-cases/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/guides/concepts/evaluating-use-cases/</guid><description>Learn how to assess your AI application needs and choose the right approach between Crews and Flows based on complexity and precision requirements.</description></item><item><title>Evaluation</title><link>https://learn-ai.blindshot.kz/docs/deepeval/tutorials/rag-qa-agent/evaluation/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/tutorials/rag-qa-agent/evaluation/</guid><description/></item><item><title>Evaluation</title><link>https://learn-ai.blindshot.kz/docs/deepeval/tutorials/summarization-agent/evaluation/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/tutorials/summarization-agent/evaluation/</guid><description/></item><item><title>Event Listeners</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/concepts/event-listener/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/concepts/event-listener/</guid><description>Tap into CrewAI events to build custom integrations and monitoring</description></item><item><title>Events</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/concepts/events/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/concepts/events/</guid><description>Understanding events in the Agent User Interaction Protocol</description></item><item><title>Events</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/js/core/events/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/js/core/events/</guid><description>Documentation for the events used in the Agent User Interaction Protocol SDK</description></item><item><title>Events</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/python/core/events/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/python/core/events/</guid><description>Documentation for the events used in the Agent User Interaction Protocol Python SDK</description></item><item><title>EXA Search Web Loader</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/exasearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/exasearchtool/</guid><description>The &amp;lsquo;EXASearchTool&amp;rsquo; is designed to perform a semantic search for a specified query from a text&amp;rsquo;s content across the internet.</description></item><item><title>Example Gallery</title><link>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/examples/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/examples/</guid><description>Task-oriented examples that demonstrate agent loops, tool usage, guardrails, and integration patterns.</description></item><item><title>Execution Hooks Overview</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/learn/execution-hooks/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/learn/execution-hooks/</guid><description>Understanding and using execution hooks in CrewAI for fine-grained control over agent operations</description></item><item><title>Explore the .claude directory</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/claude-directory/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/claude-directory/</guid><description>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.</description></item><item><title>Extend Claude Code</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/features-overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/features-overview/</guid><description>Understand when to use CLAUDE.md, Skills, subagents, hooks, MCP, and plugins.</description></item><item><title>FAQs</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/resources/frequently-asked-questions/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/resources/frequently-asked-questions/</guid><description>Frequently asked questions about CrewAI AMP</description></item><item><title>File Checkpointing</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/file-checkpointing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/file-checkpointing/</guid><description/></item><item><title>File Read</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/filereadtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/filereadtool/</guid><description>The &amp;lsquo;FileReadTool&amp;rsquo; is designed to read files from the local file system.</description></item><item><title>File Write</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/filewritetool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/filewritetool/</guid><description>The &amp;lsquo;FileWriterTool&amp;rsquo; is designed to write content to files.</description></item><item><title>Files</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/concepts/files/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/concepts/files/</guid><description>Pass images, PDFs, audio, video, and text files to your agents for multimodal processing.</description></item><item><title>Financial CSV Agent with Langchain</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/csv-agent/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/csv-agent/</guid><description>This page describes how to use Cohere&amp;rsquo;s models to build an agent able to work with CSV data.</description></item><item><title>Financial CSV Agent with Native Multi-Step Cohere API</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/csv-agent-native-api/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/csv-agent-native-api/</guid><description>This page describes how to use Cohere&amp;rsquo;s models and its native API to build an agent able to work with CSV data.</description></item><item><title>Fine Grained Tool Streaming</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/fine-grained-tool-streaming/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/fine-grained-tool-streaming/</guid><description>&lt;p&gt;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.&lt;/p&gt;</description></item><item><title>Finetuning Agents</title><link>https://learn-ai.blindshot.kz/docs/dspy/tutorials/games/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/dspy/tutorials/games/_overview/</guid><description/></item><item><title>Fingerprinting</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/guides/advanced/fingerprinting/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/guides/advanced/fingerprinting/</guid><description>Learn how to use CrewAI&amp;rsquo;s fingerprinting system to uniquely identify and track components throughout their lifecycle.</description></item><item><title>Fire Pass Setup</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/firepass/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/firepass/</guid><description>Kimi K2.6 Turbo for personal agentic coding — Fire Pass (Early Access), $49 / month</description></item><item><title>Firecrawl Crawl Website</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/firecrawlcrawlwebsitetool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/firecrawlcrawlwebsitetool/</guid><description>The &amp;lsquo;FirecrawlCrawlWebsiteTool&amp;rsquo; is designed to crawl and convert websites into clean markdown or structured data.</description></item><item><title>Firecrawl Scrape Website</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/firecrawlscrapewebsitetool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/firecrawlscrapewebsitetool/</guid><description>The &amp;lsquo;FirecrawlScrapeWebsiteTool&amp;rsquo; is designed to scrape websites and convert them into clean markdown or structured data.</description></item><item><title>Fireworks Agent Overview</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/agent/introduction/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/agent/introduction/</guid><description>Describe what you want, approve the plan and cost, get a deployed fine-tuned model.</description></item><item><title>Fireworks Agent: Classification</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/agent/classification/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/agent/classification/</guid><description>Benchmark base models, fine-tune on labeled data, and pick the best classifier — automatically.</description></item><item><title>Fireworks Agent: Evaluator Authoring</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/agent/evaluators/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/agent/evaluators/</guid><description>Have Fireworks Agent generate a reusable evaluator from your dataset — for scoring candidates in an SFT sweep, or for use with Managed RFT.</description></item><item><title>Fireworks Agent: Preference Learning (DPO/ORPO)</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/agent/dpo/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/agent/dpo/</guid><description>Run preference fine-tuning end-to-end with optional base-model sweep, automatic pair generation, and pairwise evaluation.</description></item><item><title>Fireworks Agent: Supervised Fine-Tuning</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/agent/sft/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/agent/sft/</guid><description>Run end-to-end SFT with Fireworks Agent — dataset inspection, hyperparameter sweep, evaluator-guided selection, and a deployed winner.</description></item><item><title>Fleet webhooks</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/webhooks/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/webhooks/</guid><description>Integrate agent publishing with external systems, CI/CD pipelines, or custom deployment workflows.</description></item><item><title>Flow HITL Management</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/features/flow-hitl-management/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/features/flow-hitl-management/</guid><description>Enterprise-grade human review for Flows with email-first notifications, routing rules, and auto-response capabilities</description></item><item><title>Flows</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/concepts/flows/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/concepts/flows/</guid><description>Learn how to create and manage AI workflows using CrewAI Flows.</description></item><item><title>Force Tool Output as Result</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/learn/force-tool-output-as-result/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/learn/force-tool-output-as-result/</guid><description>Learn how to force tool output as the result in an Agent&amp;rsquo;s task in CrewAI.</description></item><item><title>Frameworks, runtimes, and harnesses</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/concepts/products/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/concepts/products/</guid><description>Understand the differences between LangChain, LangGraph, and Deep Agents and when to use each one</description></item><item><title>Frameworks, runtimes, and harnesses</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/concepts/products/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/concepts/products/</guid><description>Understand the differences between LangChain, LangGraph, and Deep Agents and when to use each one</description></item><item><title>Frontend</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/streaming/frontend/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/streaming/frontend/</guid><description>Build React UIs that display real-time subagent streams from deep agents</description></item><item><title>Frontend</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/streaming/frontend/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/streaming/frontend/</guid><description>Build generative UIs with real-time streaming from LangChain agents, LangGraph graphs, and custom APIs</description></item><item><title>Frontend</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/streaming/frontend/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/streaming/frontend/</guid><description>Build React UIs that display real-time subagent streams from deep agents</description></item><item><title>Frontend</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/streaming/frontend/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/streaming/frontend/</guid><description>Build generative UIs with real-time streaming from LangChain agents, LangGraph graphs, and custom APIs</description></item><item><title>Function calling</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/function-calling/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/function-calling/</guid><description>Function calling with Mistral models — integrate external tools for dynamic, data-driven responses using JSON Schema tool definitions.</description></item><item><title>Galileo</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/observability/galileo/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/observability/galileo/</guid><description>Galileo integration for CrewAI tracing and evaluation</description></item><item><title>Gemini</title><link>https://learn-ai.blindshot.kz/docs/google/adk/agents/models/google-gemini/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/agents/models/google-gemini/_overview/</guid><description/></item><item><title>Gemma</title><link>https://learn-ai.blindshot.kz/docs/google/adk/agents/models/google-gemma/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/agents/models/google-gemma/_overview/</guid><description/></item><item><title>Generate Parallel Queries for Better RAG Retrieval</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/generating-parallel-queries/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/generating-parallel-queries/</guid><description>Build an agentic RAG system that can expand a user query into a more optimized set of queries for retrieval.</description></item><item><title>Get Assistant</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/assistants/get-assistant/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/assistants/get-assistant/</guid><description>Get an assistant by ID.</description></item><item><title>Get Assistant Graph</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/assistants/get-assistant-graph/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/assistants/get-assistant-graph/</guid><description>Get an assistant by ID.</description></item><item><title>Get Assistant Schemas</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/assistants/get-assistant-schemas/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/assistants/get-assistant-schemas/</guid><description>Get an assistant by ID.</description></item><item><title>Get Assistant Subgraphs</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/assistants/get-assistant-subgraphs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/assistants/get-assistant-subgraphs/</guid><description>Get an assistant&amp;rsquo;s subgraphs.</description></item><item><title>Get Assistant Subgraphs by Namespace</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/assistants/get-assistant-subgraphs-by-namespace/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/assistants/get-assistant-subgraphs-by-namespace/</guid><description>Get an assistant&amp;rsquo;s subgraphs filtered by namespace.</description></item><item><title>Get Assistant Versions</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/assistants/get-assistant-versions/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/assistants/get-assistant-versions/</guid><description>Get all versions of an assistant.</description></item><item><title>Get Run</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/thread-runs/get-run/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/thread-runs/get-run/</guid><description>Get a run by ID.</description></item><item><title>Get Thread</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/get-thread/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/get-thread/</guid><description>Get a thread by ID.</description></item><item><title>Get Thread History</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/get-thread-history/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/get-thread-history/</guid><description>Get all past states for a thread.</description></item><item><title>Get Thread History Post</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/get-thread-history-post/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/get-thread-history-post/</guid><description>Get all past states for a thread.</description></item><item><title>Get Thread State</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/get-thread-state/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/get-thread-state/</guid><description>Get state for a thread.</description></item><item><title>Get Thread State At Checkpoint</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/get-thread-state-at-checkpoint-1/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/get-thread-state-at-checkpoint-1/</guid><description>Get state for a thread at a specific checkpoint.</description></item><item><title>Get Thread State At Checkpoint</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/get-thread-state-at-checkpoint/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/get-thread-state-at-checkpoint/</guid><description>Get state for a thread at a specific checkpoint.</description></item><item><title>Getting Started Agents</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/getting-started-agents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/getting-started-agents/</guid><description/></item><item><title>GitHub Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/github/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/github/</guid><description>Repository and issue management with GitHub integration for CrewAI.</description></item><item><title>Github Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/githubsearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/githubsearchtool/</guid><description>The &amp;lsquo;GithubSearchTool&amp;rsquo; is designed to search websites and convert them into clean markdown or structured data.</description></item><item><title>GLM-5 Quickstart</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/glm-5-quickstart/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/glm-5-quickstart/</guid><description>How to get the most out of GLM-5 for reasoning and agentic tasks.</description></item><item><title>Gmail Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/gmail/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/gmail/</guid><description>Email and contact management with Gmail integration for CrewAI.</description></item><item><title>Gmail Trigger</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/gmail-trigger/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/gmail-trigger/</guid><description>Trigger automations when Gmail events occur (e.g., new emails, labels).</description></item><item><title>Going to production</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/going-to-production/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/going-to-production/</guid><description>Take your Deep Agent to production with persistent memory, sandboxes, resilience middleware, and deployment options</description></item><item><title>Going to production</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/going-to-production/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/going-to-production/</guid><description>Take your Deep Agent to production with persistent memory, sandboxes, resilience middleware, and deployment options</description></item><item><title>Google Agent Development Kit (ADK)</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/google_adk/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/google_adk/</guid><description>Trace Google Agent Development Kit (ADK) agent and tool calls in Weave using OpenTelemetry</description></item><item><title>Google Calendar Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/google_calendar/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/google_calendar/</guid><description>Event and schedule management with Google Calendar integration for CrewAI.</description></item><item><title>Google Calendar Trigger</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/google-calendar-trigger/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/google-calendar-trigger/</guid><description>Kick off crews when Google Calendar events are created, updated, or cancelled</description></item><item><title>Google Contacts Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/google_contacts/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/google_contacts/</guid><description>Contact and directory management with Google Contacts integration for CrewAI.</description></item><item><title>Google Docs Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/google_docs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/google_docs/</guid><description>Document creation and editing with Google Docs integration for CrewAI.</description></item><item><title>Google Drive Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/google_drive/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/google_drive/</guid><description>File storage and management with Google Drive integration for CrewAI.</description></item><item><title>Google Drive Trigger</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/google-drive-trigger/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/google-drive-trigger/</guid><description>Respond to Google Drive file events with automated crews</description></item><item><title>Google Serper Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/serperdevtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/serperdevtool/</guid><description>The &amp;lsquo;SerperDevTool&amp;rsquo; is designed to search the internet and return the most relevant results.</description></item><item><title>Google Sheets Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/google_sheets/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/google_sheets/</guid><description>Spreadsheet data synchronization with Google Sheets integration for CrewAI.</description></item><item><title>Google Slides Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/google_slides/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/google_slides/</guid><description>Presentation creation and management with Google Slides integration for CrewAI.</description></item><item><title>Graph-based agent workflows</title><link>https://learn-ai.blindshot.kz/docs/google/adk/workflows/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/workflows/_overview/</guid><description/></item><item><title>Grounding agents with data</title><link>https://learn-ai.blindshot.kz/docs/google/adk/grounding/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/grounding/_overview/</guid><description/></item><item><title>GroupChat Pattern</title><link>https://learn-ai.blindshot.kz/docs/microsoft/autogen/group-chat/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/microsoft/autogen/group-chat/</guid><description>AutoGen&amp;rsquo;s GroupChat coordinates multiple agents through managed conversation turns with configurable speaker selection strategies (round-robin, LLM-driven, or custom).</description></item><item><title>Guardrails</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/guardrails/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/guardrails/</guid><description>Implement safety checks and content filtering for your agents</description></item><item><title>Guardrails</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/guardrails/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/guardrails/</guid><description>Implement safety checks and content filtering for your agents</description></item><item><title>Guardrails</title><link>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/guardrails/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/guardrails/</guid><description>Define validators that run alongside the agent loop to enforce business and safety rules.</description></item><item><title>Guardrails and human review</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/agents/guardrails-approvals/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/agents/guardrails-approvals/</guid><description>Learn how to use guardrails and human review in the OpenAI Agents SDK for safer, more controlled workflows.</description></item><item><title>Guides Ai Agent Evaluation</title><link>https://learn-ai.blindshot.kz/docs/deepeval/guides/guides-ai-agent-evaluation/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/guides/guides-ai-agent-evaluation/</guid><description/></item><item><title>Guides Ai Agent Evaluation Metrics</title><link>https://learn-ai.blindshot.kz/docs/deepeval/guides/guides-ai-agent-evaluation-metrics/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/guides/guides-ai-agent-evaluation-metrics/</guid><description/></item><item><title>Guides Tracing Ai Agents</title><link>https://learn-ai.blindshot.kz/docs/deepeval/guides/guides-tracing-ai-agents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/guides/guides-tracing-ai-agents/</guid><description/></item><item><title>Hallucination Guardrail</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/features/hallucination-guardrail/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/features/hallucination-guardrail/</guid><description>Prevent and detect AI hallucinations in your CrewAI tasks</description></item><item><title>Handle Tool Calls</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/handle-tool-calls/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/handle-tool-calls/</guid><description/></item><item><title>Handoffs</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/multi-agent/handoffs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/multi-agent/handoffs/</guid><description/></item><item><title>Handoffs</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/multi-agent/handoffs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/multi-agent/handoffs/</guid><description>&lt;p&gt;LangChain&amp;rsquo;s handoff mechanism lets you transfer execution between agents in a multi-agent graph, and it is worth comparing directly with OpenAI&amp;rsquo;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 &amp;ldquo;Thinking in LangGraph&amp;rdquo; doc first, because handoffs only make sense once you understand LangGraph&amp;rsquo;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.&lt;/p&gt;</description></item><item><title>Handoffs</title><link>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/handoffs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/handoffs/</guid><description>Delegate tasks between agents with intent classification, argument passing, and return values.</description></item><item><title>Harness capabilities</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/harness/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/harness/</guid><description/></item><item><title>Harness capabilities</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/harness/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/harness/</guid><description/></item><item><title>Health Check</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/system/health-check/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/system/health-check/</guid><description>Check the health status of the server. Optionally check database connectivity.</description></item><item><title>Hierarchical Process</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/learn/hierarchical-process/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/learn/hierarchical-process/</guid><description>A comprehensive guide to understanding and applying the hierarchical process within your CrewAI projects, updated to reflect the latest coding practices and functionalities.</description></item><item><title>HITL Workflows</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/human-in-the-loop/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/human-in-the-loop/</guid><description>Learn how to implement Human-In-The-Loop workflows in CrewAI for enhanced decision-making</description></item><item><title>Hooks</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/hooks/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/hooks/</guid><description>&lt;p&gt;Hooks function similarly to middleware in web frameworks, giving you interception points at key stages of the agent&amp;rsquo;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.&lt;/p&gt;</description></item><item><title>Host Your Agent</title><link>https://learn-ai.blindshot.kz/docs/microsoft/agent-framework/hosting/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/microsoft/agent-framework/hosting/</guid><description>Deploy agents to Azure Functions, custom hosts, or local environments.</description></item><item><title>Hosting</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/hosting/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/hosting/</guid><description>&lt;p&gt;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.&lt;/p&gt;</description></item><item><title>How Claude Code works</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/how-claude-code-works/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/how-claude-code-works/</guid><description>Understand the agentic loop, built-in tools, and how Claude Code interacts with your project.</description></item><item><title>How to add semantic search to your agent deployment</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/semantic-search/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/semantic-search/</guid><description/></item><item><title>How to Build Coding Agents</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/how-to-build-coding-agents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/how-to-build-coding-agents/</guid><description>How to build your own simple code editing agent from scratch in 400 lines of code!</description></item><item><title>How to collect user feedback for Agent Server runs</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-feedback/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-feedback/</guid><description/></item><item><title>How to evaluate your agent with trajectory evaluations</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trajectory-evals/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trajectory-evals/</guid><description/></item><item><title>How to run multiple agents on the same thread</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/same-thread/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/same-thread/</guid><description/></item><item><title>How to use a custom checkpointer</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/custom-checkpointer/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/custom-checkpointer/</guid><description>Replace the built-in Postgres checkpointer with a custom BaseCheckpointSaver implementation in your agent deployment.</description></item><item><title>How to use a custom store</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/custom-store/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/custom-store/</guid><description>Replace the built-in Postgres store with a custom BaseStore implementation in your agent deployment.</description></item><item><title>How to use Cline with DeepSeek V3 to build faster</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/how-to-use-cline/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/how-to-use-cline/</guid><description>Use Cline (an AI coding agent) with DeepSeek V3 (a powerful open source model) to code faster.</description></item><item><title>How to use OpenCode with Together AI to build faster</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/how-to-use-opencode/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/how-to-use-opencode/</guid><description>Learn how to combine OpenCode, a powerful terminal-based AI coding agent, with Together AI models like DeepSeek V3 to supercharge your development workflow.</description></item><item><title>How Tool Use Works</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/how-tool-use-works/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/how-tool-use-works/</guid><description/></item><item><title>HttpAgent</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/js/client/http-agent/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/js/client/http-agent/</guid><description>HTTP-based agent for connecting to remote AI agents</description></item><item><title>HubSpot Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/hubspot/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/hubspot/</guid><description>Manage companies and contacts in HubSpot with CrewAI.</description></item><item><title>HubSpot Trigger</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/hubspot-trigger/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/hubspot-trigger/</guid><description>Trigger CrewAI crews directly from HubSpot Workflows</description></item><item><title>Human Feedback in Flows</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/learn/human-feedback-in-flows/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/learn/human-feedback-in-flows/</guid><description>Learn how to integrate human feedback directly into your CrewAI Flows using the @human_feedback decorator</description></item><item><title>Human Input on Execution</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/learn/human-input-on-execution/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/learn/human-input-on-execution/</guid><description>Integrating CrewAI with human input during execution in complex decision-making processes and leveraging the full capabilities of the agent&amp;rsquo;s attributes and tools.</description></item><item><title>Human-in-the-loop</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/human-in-the-loop/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/human-in-the-loop/</guid><description>Learn how to configure human approval for sensitive tool operations</description></item><item><title>Human-in-the-loop</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/human-in-the-loop/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/human-in-the-loop/</guid><description>Learn how to configure human approval for sensitive tool operations</description></item><item><title>Human-in-the-Loop (HITL) Workflows</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/learn/human-in-the-loop/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/learn/human-in-the-loop/</guid><description>Learn how to implement Human-in-the-Loop workflows in CrewAI for enhanced decision-making</description></item><item><title>Hyperbrowser Load Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/hyperbrowserloadtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/hyperbrowserloadtool/</guid><description>The &amp;lsquo;HyperbrowserLoadTool&amp;rsquo; enables web scraping and crawling using Hyperbrowser.</description></item><item><title>Image Generation</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/agents/connectors/image_generation/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/agents/connectors/image_generation/</guid><description>Built-in tool for agents to generate images on demand with detailed output handling and download options</description></item><item><title>Image Generation with DALL-E</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/learn/dalle-image-generation/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/learn/dalle-image-generation/</guid><description>Learn how to use DALL-E for AI-powered image generation in your CrewAI projects</description></item><item><title>Improvement</title><link>https://learn-ai.blindshot.kz/docs/deepeval/tutorials/rag-qa-agent/improvement/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/tutorials/rag-qa-agent/improvement/</guid><description/></item><item><title>Improvement</title><link>https://learn-ai.blindshot.kz/docs/deepeval/tutorials/summarization-agent/improvement/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/tutorials/summarization-agent/improvement/</guid><description/></item><item><title>Installation</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/installation/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/installation/</guid><description>Get started with CrewAI - Install, configure, and build your first AI crew</description></item><item><title>Integrate Slack with an agent</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-slack-app/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-slack-app/</guid><description>Connect the LangSmith Agent Builder to your Slack workspace to let your agents communicate with users in Slack.</description></item><item><title>Integrate Slack with an agent</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/slack-app/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/slack-app/</guid><description>Connect LangSmith Fleet to your Slack workspace to let your agents communicate with users in Slack.</description></item><item><title>Integrate Teams with an agent</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/teams-app/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/teams-app/</guid><description>Connect LangSmith Fleet to Microsoft Teams by bringing your own Azure Bot to let agents communicate with users in Teams.</description></item><item><title>Integration testing</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/test/integration-testing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/test/integration-testing/</guid><description>Test agents with real LLM APIs by organizing tests, managing keys, handling flakiness, and controlling costs.</description></item><item><title>Integration testing</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/test/integration-testing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/test/integration-testing/</guid><description>Test agents with real LLM APIs by organizing tests, managing keys, handling flakiness, and controlling costs.</description></item><item><title>Integrations and observability</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/agents/integrations-observability/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/agents/integrations-observability/</guid><description>Learn how to integrate MCP into Agents SDK workflows and how to trace and debug runs.</description></item><item><title>Introduction</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/introduction/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/introduction/</guid><description>Build AI agent teams that work together to tackle complex tasks</description></item><item><title>Introduction</title><link>https://learn-ai.blindshot.kz/docs/deepeval/tutorials/rag-qa-agent/introduction/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/tutorials/rag-qa-agent/introduction/</guid><description/></item><item><title>Introduction</title><link>https://learn-ai.blindshot.kz/docs/deepeval/tutorials/summarization-agent/introduction/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/tutorials/summarization-agent/introduction/</guid><description/></item><item><title>Japanese documentation</title><link>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/ja/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/ja/</guid><description>Localized overview and quickstart for Japanese-speaking developers.</description></item><item><title>Jira Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/jira/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/jira/</guid><description>Issue tracking and project management with Jira integration for CrewAI.</description></item><item><title>Join &amp; rejoin streams</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/frontend/join-rejoin/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/frontend/join-rejoin/</guid><description>Disconnect from and reconnect to running agent streams</description></item><item><title>Join &amp; rejoin streams</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/frontend/join-rejoin/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/frontend/join-rejoin/</guid><description>Disconnect from and reconnect to running agent streams</description></item><item><title>Join Run</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/thread-runs/join-run/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/thread-runs/join-run/</guid><description>Wait for a run to finish.</description></item><item><title>Join Run Stream</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/thread-runs/join-run-stream/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/thread-runs/join-run-stream/</guid><description>Join a run stream. This endpoint streams output in real-time from a run similar to the /threads/&lt;strong&gt;THREAD_ID&lt;/strong&gt;/runs/stream endpoint. If the run has been created with &amp;lsquo;stream_resumable=true&amp;rsquo;, the stream can be resumed from the last seen event ID.</description></item><item><title>Join Thread Stream</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/join-thread-stream/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/join-thread-stream/</guid><description>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.</description></item><item><title>JSON RAG Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/jsonsearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/jsonsearchtool/</guid><description>The &amp;lsquo;JSONSearchTool&amp;rsquo; is designed to search JSON files and return the most relevant results.</description></item><item><title>Kickoff Crew</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/kickoff-crew/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/kickoff-crew/</guid><description>Kickoff a Crew on CrewAI AMP</description></item><item><title>Kickoff Crew Asynchronously</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/learn/kickoff-async/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/learn/kickoff-async/</guid><description>Kickoff a Crew Asynchronously</description></item><item><title>Kickoff Crew for Each</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/learn/kickoff-for-each/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/learn/kickoff-for-each/</guid><description>Kickoff Crew for Each Item in a List</description></item><item><title>Kimi K2 family</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/models/kimi-k2/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/models/kimi-k2/</guid><description>Using Kimi K2 family models in agentic and tool-calling workflows on Fireworks.</description></item><item><title>Knowledge</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/concepts/knowledge/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/concepts/knowledge/</guid><description>What is knowledge in CrewAI and how to use it.</description></item><item><title>Koog</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/koog/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/koog/</guid><description>Trace Kotlin-based Koog agents with Weave&amp;rsquo;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.</description></item><item><title>LangChain overview</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/overview/</guid><description>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</description></item><item><title>LangChain overview</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/overview/</guid><description>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</description></item><item><title>LangChain Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/ai-ml/langchaintool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/ai-ml/langchaintool/</guid><description>The &amp;lsquo;LangChainTool&amp;rsquo; is a wrapper for LangChain tools and query engines.</description></item><item><title>LangDB Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/observability/langdb/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/observability/langdb/</guid><description>Govern, secure, and optimize your CrewAI workflows with LangDB AI Gateway—access 350+ models, automatic routing, cost optimization, and full observability.</description></item><item><title>Langfuse Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/observability/langfuse/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/observability/langfuse/</guid><description>Learn how to integrate Langfuse with CrewAI via OpenTelemetry using OpenLit</description></item><item><title>LangGraph</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/_langgraph_agent_evaluation/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/_langgraph_agent_evaluation/_overview/</guid><description/></item><item><title>LangGraph overview</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/overview/</guid><description>Gain control with LangGraph to design agents that reliably handle complex tasks</description></item><item><title>LangGraph overview</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/overview/</guid><description>Gain control with LangGraph to design agents that reliably handle complex tasks</description></item><item><title>LangSmith Agent Builder</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder/</guid><description>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.</description></item><item><title>LangSmith Deployment</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/deployment/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/deployment/</guid><description>Deploy and manage agents with durable execution, real-time streaming, and horizontal scaling.</description></item><item><title>LangSmith Deployment</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/deployments/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/deployments/</guid><description>Deploy and manage agents with durable execution, real-time streaming, and horizontal scaling.</description></item><item><title>LangSmith Fleet</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/_overview/</guid><description>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.</description></item><item><title>LangSmith skills</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/skills/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/skills/</guid><description>Use Agent Skills to work with LangSmith traces, datasets, and evaluators from your coding agent.</description></item><item><title>LangSmith Tool Server</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-mcp-framework/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-mcp-framework/</guid><description/></item><item><title>Langtrace Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/observability/langtrace/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/observability/langtrace/</guid><description>How to monitor cost, latency, and performance of CrewAI Agents using Langtrace, an external observability tool.</description></item><item><title>Legal Summarization</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/about-claude/use-case-guides/legal-summarization/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/about-claude/use-case-guides/legal-summarization/</guid><description>Using Claude to extract key information from legal documents and generate structured summaries.</description></item><item><title>Linear Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/linear/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/linear/</guid><description>Software project and bug tracking with Linear integration for CrewAI.</description></item><item><title>Linkup Search Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/linkupsearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/linkupsearchtool/</guid><description>The &amp;lsquo;LinkupSearchTool&amp;rsquo; enables querying the Linkup API for contextual information.</description></item><item><title>List namespaces with optional match conditions.</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/store/list-namespaces-with-optional-match-conditions/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/store/list-namespaces-with-optional-match-conditions/</guid><description/></item><item><title>List Runs</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/thread-runs/list-runs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/thread-runs/list-runs/</guid><description>List runs for a thread.</description></item><item><title>LiteLLM</title><link>https://learn-ai.blindshot.kz/docs/google/adk/agents/models/litellm/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/agents/models/litellm/_overview/</guid><description/></item><item><title>LiteLLM integration</title><link>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/models/litellm/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/models/litellm/</guid><description>Configure LiteLLM as a provider to fan out across multiple model backends.</description></item><item><title>LiteRT-LM</title><link>https://learn-ai.blindshot.kz/docs/google/adk/agents/models/litert-lm/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/agents/models/litert-lm/_overview/</guid><description/></item><item><title>LlamaIndex</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/llamaindex/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/llamaindex/</guid><description>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.</description></item><item><title>LlamaIndex Agent Evaluation Quickstart</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/cli/llamaindex_agent_evals/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/cli/llamaindex_agent_evals/_overview/</guid><description/></item><item><title>LlamaIndex Agents</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/llamaindex_agents/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/llamaindex_agents/_overview/</guid><description/></item><item><title>LlamaIndex Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/ai-ml/llamaindextool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/ai-ml/llamaindextool/</guid><description>The &amp;lsquo;LlamaIndexTool&amp;rsquo; is a wrapper for LlamaIndex tools and query engines.</description></item><item><title>LLM agents</title><link>https://learn-ai.blindshot.kz/docs/google/adk/agents/llm-agents/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/agents/llm-agents/_overview/</guid><description/></item><item><title>LLM Call Hooks</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/learn/llm-hooks/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/learn/llm-hooks/</guid><description>Learn how to use LLM call hooks to intercept, modify, and control language model interactions in CrewAI</description></item><item><title>LLMs</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/concepts/llms/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/concepts/llms/</guid><description>A comprehensive guide to configuring and using Large Language Models (LLMs) in your CrewAI projects</description></item><item><title>Local shell</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/tools-local-shell/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/tools-local-shell/</guid><description>Enable agents to run commands in a local shell.</description></item><item><title>Long-term memory</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/long-term-memory/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/long-term-memory/</guid><description>Learn how to extend deep agents with persistent memory across threads</description></item><item><title>Long-term memory</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/long-term-memory/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/long-term-memory/</guid><description>Learn how to extend deep agents with persistent memory across threads</description></item><item><title>Loop agents</title><link>https://learn-ai.blindshot.kz/docs/google/adk/agents/workflow-agents/loop-agents/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/agents/workflow-agents/loop-agents/_overview/</guid><description/></item><item><title>Manage Agent Builder</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-self-hosted/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-self-hosted/</guid><description/></item><item><title>Manage agent settings</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-manage-agent-settings/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-manage-agent-settings/</guid><description>Manage your agents in Agent Builder.</description></item><item><title>Manage agent settings</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/manage-agent-settings/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/manage-agent-settings/</guid><description>Manage your agents in Fleet.</description></item><item><title>Manage Tool Context</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/manage-tool-context/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/manage-tool-context/</guid><description/></item><item><title>Marketplace</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/features/marketplace/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/features/marketplace/</guid><description>Discover, install, and govern reusable assets for your enterprise crews.</description></item><item><title>Mastering Flow State Management</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/guides/flows/mastering-flow-state/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/guides/flows/mastering-flow-state/</guid><description>A comprehensive guide to managing, persisting, and leveraging state in CrewAI Flows for building robust AI applications.</description></item><item><title>Maxim Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/observability/maxim/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/observability/maxim/</guid><description>Start Agent monitoring, evaluation, and observability</description></item><item><title>Mcp</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/mcp/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/mcp/</guid><description>&lt;p&gt;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 &amp;ndash; servers that fail to start will silently remove tools from your agent&amp;rsquo;s available set. If you are already familiar with MCP from the protocol specification, this guide shows the practical integration points within the SDK&amp;rsquo;s agent framework.&lt;/p&gt;</description></item><item><title>MCP</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/agents/mcp/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/agents/mcp/</guid><description>MCP is an open standard protocol for seamless AI model integration with data sources and tools</description></item><item><title>Mcp Connector</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/mcp-connector/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/mcp-connector/</guid><description>&lt;p&gt;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&amp;rsquo;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.&lt;/p&gt;</description></item><item><title>MCP DSL Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/mcp/dsl-integration/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/mcp/dsl-integration/</guid><description>Learn how to use CrewAI&amp;rsquo;s simple DSL syntax to integrate MCP servers directly with your agents using the mcps field.</description></item><item><title>MCP endpoint in Agent Server</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/server-mcp/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/server-mcp/</guid><description/></item><item><title>MCP Get</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/mcp/mcp-get/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/mcp/mcp-get/</guid><description>Implemented according to the Streamable HTTP Transport specification.</description></item><item><title>MCP Post</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/mcp/mcp-post/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/mcp/mcp-post/</guid><description>Implemented according to the Streamable HTTP Transport specification.</description></item><item><title>MCP Security Considerations</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/mcp/security/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/mcp/security/</guid><description>Learn about important security best practices when integrating MCP servers with your CrewAI agents.</description></item><item><title>MCP Servers as Tools in CrewAI</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/mcp/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/mcp/overview/</guid><description>Learn how to integrate MCP servers as tools in your CrewAI agents using the crewai-tools library.</description></item><item><title>MCP Tools</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/cli/mcp-tools/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/cli/mcp-tools/</guid><description>Load additional tools from MCP (Model Context Protocol) servers</description></item><item><title>MCP, A2A, and AG-UI</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/agentic-protocols/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/agentic-protocols/</guid><description>Understanding how AG-UI complements and works with MCP and A2A</description></item><item><title>MDX RAG Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/mdxsearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/mdxsearchtool/</guid><description>The &amp;lsquo;MDXSearchTool&amp;rsquo; is designed to search MDX files and return the most relevant results.</description></item><item><title>Memory</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/concepts/memory/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/concepts/memory/</guid><description>Leveraging the unified memory system in CrewAI to enhance agent capabilities.</description></item><item><title>Memory</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/memory/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/memory/</guid><description>Add persistent memory to agents built with Deep Agents so they learn and improve across conversations</description></item><item><title>Memory</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/memory/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/memory/</guid><description>Add persistent memory to agents built with Deep Agents so they learn and improve across conversations</description></item><item><title>Memory Tool</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/memory-tool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/memory-tool/</guid><description>&lt;p&gt;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.&lt;/p&gt;</description></item><item><title>Memory-Enabled ReAct Agents</title><link>https://learn-ai.blindshot.kz/docs/dspy/tutorials/mem0_react_agent/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/dspy/tutorials/mem0_react_agent/_overview/</guid><description/></item><item><title>Merge Agent Handler Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/integration/mergeagenthandlertool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/integration/mergeagenthandlertool/</guid><description>Enables CrewAI agents to securely access third-party integrations like Linear, GitHub, Slack, and more through Merge&amp;rsquo;s Agent Handler platform</description></item><item><title>Message queues</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/frontend/message-queues/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/frontend/message-queues/</guid><description>Queue multiple messages and manage them while the agent processes sequentially</description></item><item><title>Message queues</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/frontend/message-queues/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/frontend/message-queues/</guid><description>Queue multiple messages and manage them while the agent processes sequentially</description></item><item><title>Meta Events</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/drafts/meta-events/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/drafts/meta-events/</guid><description>Annotations and signals independent of agent runs</description></item><item><title>Microsoft Excel Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/microsoft_excel/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/microsoft_excel/</guid><description>Workbook and data management with Microsoft Excel integration for CrewAI.</description></item><item><title>Microsoft OneDrive Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/microsoft_onedrive/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/microsoft_onedrive/</guid><description>File and folder management with Microsoft OneDrive integration for CrewAI.</description></item><item><title>Microsoft Outlook Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/microsoft_outlook/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/microsoft_outlook/</guid><description>Email, calendar, and contact management with Microsoft Outlook integration for CrewAI.</description></item><item><title>Microsoft SharePoint Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/microsoft_sharepoint/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/microsoft_sharepoint/</guid><description>Site, list, and document management with Microsoft SharePoint integration for CrewAI.</description></item><item><title>Microsoft Teams Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/microsoft_teams/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/microsoft_teams/</guid><description>Team collaboration and communication with Microsoft Teams integration for CrewAI.</description></item><item><title>Microsoft Teams Trigger</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/microsoft-teams-trigger/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/microsoft-teams-trigger/</guid><description>Kick off crews from Microsoft Teams chat activity</description></item><item><title>Microsoft Word Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/microsoft_word/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/microsoft_word/</guid><description>Document creation and management with Microsoft Word integration for CrewAI.</description></item><item><title>Middleware</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/concepts/middleware/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/concepts/middleware/</guid><description>Transform and intercept events in AG-UI agents</description></item><item><title>Middleware</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/quickstart/middleware/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/quickstart/middleware/</guid><description>Connect to existing protocols, in process agents or custom solutions via AG-UI</description></item><item><title>Middleware</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/js/client/middleware/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/js/client/middleware/</guid><description>Event stream transformation and filtering for AG-UI agents</description></item><item><title>Migrate from Agent Builder</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/agent-builder/migrate-from-agent-builder/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/agent-builder/migrate-from-agent-builder/</guid><description>Learn how to export an Agent Builder workflow and continue with ChatGPT Workspace Agents or the Agents SDK.</description></item><item><title>Migrating away from create_csv_agent in langchain-cohere</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/migrate-csv-agent/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/migrate-csv-agent/</guid><description>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.</description></item><item><title>Migration from AutoGen</title><link>https://learn-ai.blindshot.kz/docs/microsoft/agent-framework/migration-from-autogen/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/microsoft/agent-framework/migration-from-autogen/</guid><description>Migration guide from AutoGen to Microsoft Agent Framework: mapping AgentChat concepts, workflow migration, and new enterprise features.</description></item><item><title>Migration Guide</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/migration-guide/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/migration-guide/</guid><description>&lt;p&gt;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.&lt;/p&gt;</description></item><item><title>Migration to Agent Framework</title><link>https://learn-ai.blindshot.kz/docs/microsoft/autogen/migration-to-agent-framework/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/microsoft/autogen/migration-to-agent-framework/</guid><description>Migration guide from AutoGen to Microsoft Agent Framework: mapping AgentChat concepts to the unified framework.</description></item><item><title>MLflow Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/observability/mlflow/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/observability/mlflow/</guid><description>Quickly start monitoring your Agents with MLflow.</description></item><item><title>Model Context Protocol</title><link>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/mcp/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/mcp/</guid><description>Connect MCP servers so agents can request external data or actions through standardized tool APIs.</description></item><item><title>Models</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/models/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/models/</guid><description/></item><item><title>Models</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/models/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/models/</guid><description/></item><item><title>Models and providers</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/agents/models/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/agents/models/</guid><description>Learn how to choose models, set defaults, and think about providers and transport in the OpenAI Agents SDK.</description></item><item><title>Modifying System Prompts</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/modifying-system-prompts/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/modifying-system-prompts/</guid><description>&lt;p&gt;System prompt modification in the Agent SDK controls how you customize agent behavior, persona, and constraints without forking the SDK&amp;rsquo;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.&lt;/p&gt;</description></item><item><title>MongoDB Vector Search Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/database-data/mongodbvectorsearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/database-data/mongodbvectorsearchtool/</guid><description>The &amp;lsquo;MongoDBVectorSearchTool&amp;rsquo; performs vector search on MongoDB Atlas with optional indexing helpers.</description></item><item><title>Moving from LangGraph to CrewAI: A Practical Guide for Engineers</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/guides/migration/migrating-from-langgraph/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/guides/migration/migrating-from-langgraph/</guid><description>If you already have built with LangGraph, learn how to quickly port your projects to CrewAI</description></item><item><title>Multi Agent Structured Output</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/cookbooks/multi-agent-structured-output/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/cookbooks/multi-agent-structured-output/</guid><description>Learn how to use multi agent structured output with W&amp;amp;B Weave</description></item><item><title>Multi-agent</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/multi-agent/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/multi-agent/_overview/</guid><description/></item><item><title>Multi-agent</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/multi-agent/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/multi-agent/_overview/</guid><description/></item><item><title>Multi-agent patterns</title><link>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/multi_agent/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/multi_agent/</guid><description>Architect teams of agents that collaborate, escalate, or specialize by capability.</description></item><item><title>Multi-Agent Patterns</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/multi-agent-applications/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/multi-agent-applications/_overview/</guid><description/></item><item><title>Multi-agent systems</title><link>https://learn-ai.blindshot.kz/docs/google/adk/agents/multi-agents/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/agents/multi-agents/_overview/</guid><description>Build multi-agent systems in ADK by composing LLM agents and workflow agents into hierarchical teams with shared state and tool delegation.</description></item><item><title>Multi-Step Tool Use with Cohere</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/basic-multi-step/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/basic-multi-step/</guid><description>This page describes how to create a multi-step, tool-using AI agent with Cohere&amp;rsquo;s tool use functionality.</description></item><item><title>Multi-tool agent</title><link>https://learn-ai.blindshot.kz/docs/google/adk/tutorials/multi-tool-agent/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/tutorials/multi-tool-agent/_overview/</guid><description/></item><item><title>Multi-Turn Conversations</title><link>https://learn-ai.blindshot.kz/docs/microsoft/agent-framework/multi-turn/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/microsoft/agent-framework/multi-turn/</guid><description>Build agents that maintain conversation context across multiple turns with session-based state management.</description></item><item><title>MultiOn Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/automation/multiontool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/automation/multiontool/</guid><description>The &amp;lsquo;MultiOnTool&amp;rsquo; empowers CrewAI agents with the capability to navigate and interact with the web through natural language instructions.</description></item><item><title>MySQL RAG Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/database-data/mysqltool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/database-data/mysqltool/</guid><description>The &amp;lsquo;MySQLSearchTool&amp;rsquo; is designed to search MySQL databases and return the most relevant results.</description></item><item><title>Navigate the Weave Trace view</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tracking/trace-tree/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/tracking/trace-tree/</guid><description>Use Weave&amp;rsquo;s Trace view to make sense of complex execution paths in your LLM and agentic apps.</description></item><item><title>Neatlogs Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/observability/neatlogs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/observability/neatlogs/</guid><description>Understand, debug, and share your CrewAI agent runs</description></item><item><title>NL2SQL Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/database-data/nl2sqltool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/database-data/nl2sqltool/</guid><description>The &amp;lsquo;NL2SQLTool&amp;rsquo; is designed to convert natural language to SQL queries.</description></item><item><title>Node reference</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/node-reference/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/node-reference/</guid><description>Explore all available nodes for composing workflows in Agent Builder.</description></item><item><title>Notion Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/notion/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/notion/</guid><description>User management and commenting with Notion integration for CrewAI.</description></item><item><title>Observability for agents</title><link>https://learn-ai.blindshot.kz/docs/google/adk/observability/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/observability/_overview/</guid><description/></item><item><title>OCR Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/ocrtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/ocrtool/</guid><description>The &amp;lsquo;OCRTool&amp;rsquo; extracts text from local images or image URLs using an LLM with vision.</description></item><item><title>Ollama</title><link>https://learn-ai.blindshot.kz/docs/google/adk/agents/models/ollama/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/agents/models/ollama/_overview/</guid><description/></item><item><title>OneDrive Trigger</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/onedrive-trigger/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/onedrive-trigger/</guid><description>Automate responses to OneDrive file activity</description></item><item><title>Open Telemetry Logs</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/capture_telemetry_logs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/capture_telemetry_logs/</guid><description>Understand how to capture telemetry logs from your CrewAI AMP deployments</description></item><item><title>OpenAI Agents SDK</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/openai_agents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/openai_agents/</guid><description>Use W&amp;amp;B Weave with the OpenAI Agents SDK to track and monitor your agentic applications</description></item><item><title>OpenLIT Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/observability/openlit/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/observability/openlit/</guid><description>Quickly start monitoring your Agents in just a single line of code with OpenTelemetry.</description></item><item><title>Opik Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/observability/opik/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/observability/opik/</guid><description>Learn how to use Comet Opik to debug, evaluate, and monitor your CrewAI applications with comprehensive tracing, automated evaluations, and production-ready dashboards.</description></item><item><title>Orchestrate teams of Claude Code sessions</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/agent-teams/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/agent-teams/</guid><description>Coordinate multiple Claude Code instances working together as a team, with shared tasks, inter-agent messaging, and centralized management.</description></item><item><title>Orchestration and handoffs</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/agents/orchestration/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/agents/orchestration/</guid><description>Learn how to orchestrate multiple agents with handoffs and agents-as-tools in the OpenAI Agents SDK.</description></item><item><title>Outlook Trigger</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/outlook-trigger/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/outlook-trigger/</guid><description>Launch automations from Outlook emails and calendar updates</description></item><item><title>Overview</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/js/core/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/js/core/overview/</guid><description>Core concepts in the Agent User Interaction Protocol SDK</description></item><item><title>Overview</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/python/core/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/python/core/overview/</guid><description>Core concepts in the Agent User Interaction Protocol SDK</description></item><item><title>Overview</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/python/encoder/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/python/encoder/overview/</guid><description>Documentation for encoding Agent User Interaction Protocol events</description></item><item><title>Overview</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/about-claude/use-case-guides/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/about-claude/use-case-guides/overview/</guid><description>Anthropic&amp;rsquo;s taxonomy of proven AI use cases with implementation guidance for each.</description></item><item><title>Overview</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/agent-skills/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/agent-skills/overview/</guid><description>&lt;p&gt;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.&lt;/p&gt;</description></item><item><title>Overview</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/learn/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/learn/overview/</guid><description>Learn how to build, customize, and optimize your CrewAI applications with comprehensive guides and tutorials</description></item><item><title>Overview</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/observability/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/observability/overview/</guid><description>Monitor, evaluate, and optimize your CrewAI agents with comprehensive observability tools</description></item><item><title>Overview</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/ai-ml/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/ai-ml/overview/</guid><description>Leverage AI services, generate images, process vision, and build intelligent systems</description></item><item><title>Overview</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/automation/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/automation/overview/</guid><description>Automate workflows and integrate with external platforms and services</description></item><item><title>Overview</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/cloud-storage/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/cloud-storage/overview/</guid><description>Interact with cloud services, storage systems, and cloud-based AI platforms</description></item><item><title>Overview</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/database-data/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/database-data/overview/</guid><description>Connect to databases, vector stores, and data warehouses for comprehensive data access</description></item><item><title>Overview</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/overview/</guid><description>Read, write, and search through various file formats with CrewAI&amp;rsquo;s document processing tools</description></item><item><title>Overview</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/integration/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/integration/overview/</guid><description>Connect CrewAI agents with external automations and managed AI services</description></item><item><title>Overview</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/overview/</guid><description>Perform web searches, find repositories, and research information across the internet</description></item><item><title>Overview</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/overview/</guid><description>Extract data from websites and automate browser interactions with powerful scraping tools</description></item><item><title>Overview</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/frontend/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/frontend/overview/</guid><description>Build UIs that display real-time subagent streams, task progress, and sandbox for Deep Agents</description></item><item><title>Overview</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/streaming/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/streaming/overview/</guid><description>Stream real-time updates from deep agent runs and subagent execution</description></item><item><title>Overview</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/frontend/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/frontend/overview/</guid><description>Build generative UIs with real-time streaming from LangChain agents</description></item><item><title>Overview</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/middleware/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/middleware/overview/</guid><description>Control and customize agent execution at every step</description></item><item><title>Overview</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/streaming/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/streaming/overview/</guid><description>Stream real-time updates from agent runs</description></item><item><title>Overview</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/frontend/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/frontend/overview/</guid><description>Render LangGraph agents to the frontend</description></item><item><title>Overview</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/frontend/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/frontend/overview/</guid><description>Build UIs that display real-time subagent streams, task progress, and sandbox for Deep Agents</description></item><item><title>Overview</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/streaming/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/streaming/overview/</guid><description>Stream real-time updates from deep agent runs and subagent execution</description></item><item><title>Overview</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/frontend/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/frontend/overview/</guid><description>Build generative UIs with real-time streaming from LangChain agents</description></item><item><title>Overview</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/middleware/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/middleware/overview/</guid><description>Control and customize agent execution at every step</description></item><item><title>Overview</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/streaming/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/streaming/overview/</guid><description>Stream real-time updates from agent runs</description></item><item><title>Overview</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/frontend/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/frontend/overview/</guid><description>Render LangGraph agents to the frontend</description></item><item><title>Oxylabs Scrapers</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/oxylabsscraperstool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/oxylabsscraperstool/</guid><description>Oxylabs Scrapers allow to easily access the information from the respective sources. Please see the list of available sources below:</description></item><item><title>Parallel agents</title><link>https://learn-ai.blindshot.kz/docs/google/adk/agents/workflow-agents/parallel-agents/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/agents/workflow-agents/parallel-agents/_overview/</guid><description/></item><item><title>Parallel Tool Use</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/parallel-tool-use/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/parallel-tool-use/</guid><description/></item><item><title>Parallelize agents</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/sweeps/parallelize-agents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/sweeps/parallelize-agents/</guid><description>Parallelize W&amp;amp;B Sweep agents on multi-core or multi-GPU machine.</description></item><item><title>Patch Assistant</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/assistants/patch-assistant/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/assistants/patch-assistant/</guid><description>Update an assistant.</description></item><item><title>Patch Thread</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/patch-thread/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/patch-thread/</guid><description>Update a thread.</description></item><item><title>Patronus AI Evaluation</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/observability/patronus-evaluation/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/observability/patronus-evaluation/</guid><description>Monitor and evaluate CrewAI agent performance using Patronus AI&amp;rsquo;s comprehensive evaluation platform for LLM outputs and agent behaviors.</description></item><item><title>PDF Extractor with Native Multi Step Tool Use</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/pdf-extractor/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/pdf-extractor/</guid><description>This page describes how to create an AI agent able to extract information from PDFs.</description></item><item><title>PDF RAG Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/pdfsearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/pdfsearchtool/</guid><description>The &amp;lsquo;PDFSearchTool&amp;rsquo; is designed to search PDF files and return the most relevant results.</description></item><item><title>PDF Text Writing Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/pdf-text-writing-tool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/pdf-text-writing-tool/</guid><description>The &amp;lsquo;PDFTextWritingTool&amp;rsquo; writes text to specific positions in a PDF, supporting custom fonts.</description></item><item><title>Performing Tasks Sequentially with Cohere's RAG</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/performing-tasks-sequentially/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/performing-tasks-sequentially/</guid><description>Build an agentic RAG system that can handle user queries that require tasks to be performed in a sequence.</description></item><item><title>Permissions</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/permissions/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/permissions/</guid><description>&lt;p&gt;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.&lt;/p&gt;</description></item><item><title>PG RAG Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/database-data/pgsearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/database-data/pgsearchtool/</guid><description>The &amp;lsquo;PGSearchTool&amp;rsquo; is designed to search PostgreSQL databases and return the most relevant results.</description></item><item><title>PII Redaction for Traces</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/features/pii-trace-redactions/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/features/pii-trace-redactions/</guid><description>Automatically redact sensitive data from crew and flow execution traces</description></item><item><title>Pinecone Assistant</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/overview/</guid><description>Pinecone Assistant is a service that allow you to build production-grade chat and agent-based applications quickly.</description></item><item><title>Planning</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/concepts/planning/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/concepts/planning/</guid><description>Learn how to add planning to your CrewAI Crew and improve their performance.</description></item><item><title>Plugins</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/plugins/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/plugins/</guid><description>&lt;p&gt;Plugins extend the Agent SDK&amp;rsquo;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.&lt;/p&gt;</description></item><item><title>Portkey Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/observability/portkey/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/observability/portkey/</guid><description>How to use Portkey with CrewAI</description></item><item><title>Prebuilt middleware</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/middleware/built-in/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/middleware/built-in/</guid><description>Prebuilt middleware for common agent use cases</description></item><item><title>Prebuilt middleware</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/middleware/built-in/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/middleware/built-in/</guid><description>Prebuilt middleware for common agent use cases</description></item><item><title>Prepare for Deployment</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/prepare-for-deployment/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/prepare-for-deployment/</guid><description>Ensure your Crew or Flow is ready for deployment to CrewAI AMP</description></item><item><title>Price comparison vs Tinker</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/multi-turn-cost-comparison/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/multi-turn-cost-comparison/</guid><description>Estimate the cost of multi-turn agentic RL rollouts on Fireworks compared to Tinker&amp;rsquo;s per-token pricing</description></item><item><title>Pricing FAQ</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-pricing-faq/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-pricing-faq/</guid><description/></item><item><title>Private Package Registries</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/private-package-registry/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/private-package-registry/</guid><description>Install private Python packages from authenticated PyPI registries in CrewAI AMP</description></item><item><title>Processes</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/concepts/processes/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/concepts/processes/</guid><description>Detailed guide on workflow management through processes in CrewAI, with updated implementation details.</description></item><item><title>Production Architecture</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/concepts/production-architecture/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/concepts/production-architecture/</guid><description>Best practices for building production-ready AI applications with CrewAI</description></item><item><title>Programmatic Tool Calling</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/programmatic-tool-calling/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/programmatic-tool-calling/</guid><description>&lt;p&gt;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&amp;rsquo;s behavior around the rest of the response &amp;ndash; 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.&lt;/p&gt;</description></item><item><title>Prune Threads</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/prune-threads/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/prune-threads/</guid><description>Prune threads by ID. The &amp;lsquo;delete&amp;rsquo; strategy removes threads entirely. The &amp;lsquo;keep_latest&amp;rsquo; strategy prunes old checkpoints but keeps threads and their latest state.</description></item><item><title>Publish Custom Tools</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/guides/tools/publish-custom-tools/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/guides/tools/publish-custom-tools/</guid><description>How to build, package, and publish your own CrewAI-compatible tools to PyPI so any CrewAI user can install and use them.</description></item><item><title>PydanticAI</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/pydantic_ai/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/pydantic_ai/</guid><description>Trace PydanticAI agent and tool calls in Weave using OpenTelemetry</description></item><item><title>Python</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/python/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/python/</guid><description>&lt;p&gt;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 &amp;ndash; the SDK is built on asyncio, so understanding Python&amp;rsquo;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.&lt;/p&gt;</description></item><item><title>Qdrant Vector Search Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/database-data/qdrantvectorsearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/database-data/qdrantvectorsearchtool/</guid><description>Semantic search capabilities for CrewAI agents using Qdrant vector database</description></item><item><title>Querying Structured Data (SQL)</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/querying-structured-data-sql/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/querying-structured-data-sql/</guid><description>Build an agentic RAG system that can query structured data (SQL).</description></item><item><title>Querying Structured Data (Tables)</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/querying-structured-data-tables/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/querying-structured-data-tables/</guid><description>Build an agentic RAG system that can query structured data (tables).</description></item><item><title>Quickstart</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/quickstart/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/quickstart/</guid><description>&lt;p&gt;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 &amp;ndash; 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.&lt;/p&gt;</description></item><item><title>Quickstart</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/agent-skills/quickstart/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/agent-skills/quickstart/</guid><description>&lt;p&gt;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.&lt;/p&gt;</description></item><item><title>Quickstart</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/quickstart/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/quickstart/</guid><description>Build your first AI agent with CrewAI in under 5 minutes.</description></item><item><title>Quickstart</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-quickstart/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-quickstart/</guid><description>Build an agent from a template</description></item><item><title>Quickstart</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/quickstart/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/quickstart/</guid><description>Build an agent from a template</description></item><item><title>Quickstart</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/quickstart/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/quickstart/</guid><description>Build your first deep agent in minutes</description></item><item><title>Quickstart</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/quickstart/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/quickstart/</guid><description>Build your first deep agent in minutes</description></item><item><title>Quickstart</title><link>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/quickstart/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/quickstart/</guid><description>Step-by-step setup for installing the package, configuring API keys, and running your first agent locally.</description></item><item><title>Quickstart</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/agents/quickstart/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/agents/quickstart/</guid><description>Build your first agent with the OpenAI Agents SDK, add tools and handoffs, and understand where to go next.</description></item><item><title>Quickstart: How to Use OpenClaw with Together AI</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/how-to-use-openclaw/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/how-to-use-openclaw/</guid><description>Learn how to pair OpenClaw, a powerful autonomous agent, with frontier OSS models on Together AI like Kimi K2.5 and GLM 4.7.</description></item><item><title>RAG Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/ai-ml/ragtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/ai-ml/ragtool/</guid><description>The &amp;lsquo;RagTool&amp;rsquo; is a dynamic knowledge base tool for answering questions using Retrieval-Augmented Generation.</description></item><item><title>React Component Export</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/react-component-export/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/react-component-export/</guid><description>Learn how to export and integrate CrewAI AMP React components into your applications</description></item><item><title>Realtime guide</title><link>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/realtime/guide/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/realtime/guide/</guid><description>Deep dive into session lifecycle, event formats, and concurrency patterns.</description></item><item><title>Realtime quickstart</title><link>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/realtime/quickstart/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/realtime/quickstart/</guid><description>Stand up low-latency realtime agents with websocket transport (WebRTC is not available in the Python SDK).</description></item><item><title>Realtime transport</title><link>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/realtime/transport/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/realtime/transport/</guid><description>Decide between the default server-side WebSocket path and SIP attach flows, with the browser WebRTC boundary called out explicitly.</description></item><item><title>Reasoning</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/concepts/reasoning/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/concepts/reasoning/</guid><description>Learn how to enable and use agent reasoning to improve task execution.</description></item><item><title>Reasoning Capabilities</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/reasoning/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/reasoning/</guid><description>Reasoning models excel at tool use, agentic workflows, and complex problem-solving. This page provides a general overview of Cohere&amp;rsquo;s reasoning capalities.</description></item><item><title>Release notes</title><link>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/release/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/release/</guid><description>Track SDK changes, migration notes, and deprecations.</description></item><item><title>Remote Agent Quickstart</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/quickstart-svg-agent/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/quickstart-svg-agent/</guid><description>Train an SVG drawing agent running in a remote environment</description></item><item><title>Remote Mcp Servers</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/remote-mcp-servers/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/remote-mcp-servers/</guid><description>&lt;p&gt;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.&lt;/p&gt;</description></item><item><title>Remote MCP servers</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-remote-mcp-servers/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-remote-mcp-servers/</guid><description>Connect Agent Builder to popular remote MCP servers</description></item><item><title>REPL</title><link>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/repl/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/repl/</guid><description>Use the interactive runner to prototype agents and inspect execution step by step.</description></item><item><title>Replay Tasks from Latest Crew Kickoff</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/learn/replay-tasks-from-latest-crew-kickoff/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/learn/replay-tasks-from-latest-crew-kickoff/</guid><description>Replay tasks from the latest crew.kickoff(&amp;hellip;)</description></item><item><title>Repository on GitHub</title><link>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/openai/openai-agents-python/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/openai/openai-agents-python/</guid><description>Source code, issues, and contribution guidelines for the SDK.</description></item><item><title>Results</title><link>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/results/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/results/</guid><description>Inspect agent outputs, tool calls, follow-up actions, and metadata returned by the runner.</description></item><item><title>Results and state</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/agents/results/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/agents/results/</guid><description>Learn which result surfaces matter most in the OpenAI Agents SDK and how they connect to resumable workflow state.</description></item><item><title>Resume Agents</title><link>https://learn-ai.blindshot.kz/docs/google/adk/runtime/resume/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/runtime/resume/_overview/</guid><description/></item><item><title>Retrieve a single item.</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/store/retrieve-a-single-item/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/store/retrieve-a-single-item/</guid><description/></item><item><title>Roadmap</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/development/roadmap/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/development/roadmap/</guid><description>Our plans for evolving Agent User Interaction Protocol</description></item><item><title>Role-Based Access Control (RBAC)</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/features/rbac/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/features/rbac/</guid><description>Control access to crews, tools, and data with roles, scopes, and granular permissions.</description></item><item><title>Router</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/multi-agent/router/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/multi-agent/router/</guid><description/></item><item><title>Router</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/multi-agent/router/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/multi-agent/router/</guid><description/></item><item><title>Routing Queries to Data Sources</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/routing-queries-to-data-sources/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/routing-queries-to-data-sources/</guid><description>Build an agentic RAG system that routes queries to the most relevant tools based on the query&amp;rsquo;s nature.</description></item><item><title>Run backtests on a new version of an agent</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/run-backtests-new-agent/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/run-backtests-new-agent/</guid><description/></item><item><title>Run Claude Code programmatically</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/headless/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/headless/</guid><description>Use the Agent SDK to run Claude Code programmatically from the CLI, Python, or TypeScript.</description></item><item><title>Running agents</title><link>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/running_agents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/running_agents/</guid><description>Learn synchronous, asynchronous, and batched execution, plus cancellation and error handling.</description></item><item><title>Running agents</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/agents/running-agents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/agents/running-agents/</guid><description>Learn how to run agents, stream output, and choose the right conversation-state strategy in the OpenAI Agents SDK.</description></item><item><title>Runs</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/runs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/runs/</guid><description>An overview of runs in Agent Server, including how to kick off background runs, stateless runs, and cancel runs.</description></item><item><title>S3 Reader Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/cloud-storage/s3readertool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/cloud-storage/s3readertool/</guid><description>The &amp;lsquo;S3ReaderTool&amp;rsquo; enables CrewAI agents to read files from Amazon S3 buckets.</description></item><item><title>S3 Writer Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/cloud-storage/s3writertool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/cloud-storage/s3writertool/</guid><description>The &amp;lsquo;S3WriterTool&amp;rsquo; enables CrewAI agents to write content to files in Amazon S3 buckets.</description></item><item><title>Safety and Security for AI Agents</title><link>https://learn-ai.blindshot.kz/docs/google/adk/safety/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/safety/_overview/</guid><description/></item><item><title>Safety in building agents</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/agent-builder-safety/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/agent-builder-safety/</guid><description>Minimize prompt injections and other risks in agent workflows — covering input validation, tool call authorization, and sandboxing strategies specific to agentic systems.</description></item><item><title>Salesforce Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/salesforce/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/salesforce/</guid><description>CRM and sales automation with Salesforce integration for CrewAI.</description></item><item><title>Salesforce Trigger</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/salesforce-trigger/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/salesforce-trigger/</guid><description>Trigger CrewAI crews from Salesforce workflows for CRM automation</description></item><item><title>Sandbox</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/frontend/sandbox/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/frontend/sandbox/</guid><description>Build an IDE-like UI for a coding agent backed by a sandbox environment</description></item><item><title>Sandbox</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/frontend/sandbox/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/frontend/sandbox/</guid><description>Build an IDE-like UI for a coding agent backed by a sandbox environment</description></item><item><title>Sandbox Agents</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/agents/sandboxes/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/agents/sandboxes/</guid><description>Learn how sandboxes fit into Agents SDK workflows, when to use them, and how orchestration stays separate from execution.</description></item><item><title>Sandboxes</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/sandboxes/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/sandboxes/</guid><description>Execute code in isolated environments with sandbox backends</description></item><item><title>Sandboxes</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/sandboxes/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/sandboxes/</guid><description>Execute code in isolated environments with sandbox backends</description></item><item><title>Sandboxing</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/sandboxing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/sandboxing/</guid><description>Learn how Claude Code&amp;rsquo;s sandboxed bash tool provides filesystem and network isolation for safer, more autonomous agent execution.</description></item><item><title>Schedules</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/schedules/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/schedules/</guid><description>Configure schedules to run your Fleet agents on a recurring basis.</description></item><item><title>Scrape Element From Website Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/scrapeelementfromwebsitetool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/scrapeelementfromwebsitetool/</guid><description>The &amp;lsquo;ScrapeElementFromWebsiteTool&amp;rsquo; enables CrewAI agents to extract specific elements from websites using CSS selectors.</description></item><item><title>Scrape Website</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/scrapewebsitetool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/scrapewebsitetool/</guid><description>The &amp;lsquo;ScrapeWebsiteTool&amp;rsquo; is designed to extract and read the content of a specified website.</description></item><item><title>Scrapegraph Scrape Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/scrapegraphscrapetool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/scrapegraphscrapetool/</guid><description>The &amp;lsquo;ScrapegraphScrapeTool&amp;rsquo; leverages Scrapegraph AI&amp;rsquo;s SmartScraper API to intelligently extract content from websites.</description></item><item><title>Scrapfly Scrape Website Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/scrapflyscrapetool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/scrapflyscrapetool/</guid><description>The &amp;lsquo;ScrapflyScrapeWebsiteTool&amp;rsquo; leverages Scrapfly&amp;rsquo;s web scraping API to extract content from websites in various formats.</description></item><item><title>Search Assistants</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/assistants/search-assistants/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/assistants/search-assistants/</guid><description>Search for assistants.</description></item><item><title>Search Crons</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/crons/search-crons/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/crons/search-crons/</guid><description>Search all active crons</description></item><item><title>Search or list items within a namespace prefix.</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/store/search-or-list-items-within-a-namespace-prefix/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/store/search-or-list-items-within-a-namespace-prefix/</guid><description>Lists items ordered by last updated time. If a &amp;lsquo;query&amp;rsquo; is provided, performs a natural language search instead. Supports pagination via &amp;rsquo;limit&amp;rsquo; and &amp;lsquo;offset&amp;rsquo;, and filtering via &amp;lsquo;filter&amp;rsquo;.</description></item><item><title>Search Threads</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/search-threads/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/search-threads/</guid><description>Search for threads.</description></item><item><title>Secure Deployment</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/secure-deployment/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/secure-deployment/</guid><description>&lt;p&gt;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 &amp;ndash; you must account for the model&amp;rsquo;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.&lt;/p&gt;</description></item><item><title>Selenium Scraper</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/seleniumscrapingtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/seleniumscrapingtool/</guid><description>The &amp;lsquo;SeleniumScrapingTool&amp;rsquo; is designed to extract and read the content of a specified website using Selenium.</description></item><item><title>Sequential agents</title><link>https://learn-ai.blindshot.kz/docs/google/adk/agents/workflow-agents/sequential-agents/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/agents/workflow-agents/sequential-agents/_overview/</guid><description/></item><item><title>Sequential Processes</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/learn/sequential-process/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/learn/sequential-process/</guid><description>A comprehensive guide to utilizing the sequential processes for task execution in CrewAI projects.</description></item><item><title>Sequential Workflow</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/sequential-agent-workflow/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/sequential-agent-workflow/</guid><description>Coordinating a chain of LLM calls to solve a complex task.</description></item><item><title>SerpApi Google Search Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/serpapi-googlesearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/serpapi-googlesearchtool/</guid><description>The &amp;lsquo;SerpApiGoogleSearchTool&amp;rsquo; performs Google searches using the SerpApi service.</description></item><item><title>SerpApi Google Shopping Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/serpapi-googleshoppingtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/serpapi-googleshoppingtool/</guid><description>The &amp;lsquo;SerpApiGoogleShoppingTool&amp;rsquo; searches Google Shopping results using SerpApi.</description></item><item><title>Server Information</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/system/server-information/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/system/server-information/</guid><description>Get server version information, feature flags, and metadata.</description></item><item><title>Server Tools</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/server-tools/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/server-tools/</guid><description/></item><item><title>Sessions</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/sessions/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/sessions/</guid><description/></item><item><title>Sessions</title><link>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/sessions/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/sessions/</guid><description>Manage stateful conversations with automatic history persistence and memory controls.</description></item><item><title>Set Latest Assistant Version</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/assistants/set-latest-assistant-version/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/assistants/set-latest-assistant-version/</guid><description>Set the latest version for an assistant.</description></item><item><title>Set up Agent Auth (Beta)</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-auth/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-auth/</guid><description>Enable secure access from agents to any system using OAuth 2.0 credentials with Agent Auth.</description></item><item><title>Shopify Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/shopify/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/shopify/</guid><description>E-commerce and online store management with Shopify integration for CrewAI.</description></item><item><title>Short-Term Memory Handling for Agents</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/agent-short-term-memory/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/agent-short-term-memory/</guid><description>This page describes how to manage short-term memory in an agent built with Cohere models.</description></item><item><title>Single Sign-On (SSO)</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/features/sso/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/features/sso/</guid><description>Configure enterprise SSO authentication for CrewAI Platform — SaaS and Factory</description></item><item><title>SingleStore Search Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/database-data/singlestoresearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/database-data/singlestoresearchtool/</guid><description>The &amp;lsquo;SingleStoreSearchTool&amp;rsquo; safely executes SELECT/SHOW queries on SingleStore with pooling.</description></item><item><title>Skills</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/skills/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/skills/</guid><description>&lt;p&gt;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&amp;rsquo;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.&lt;/p&gt;</description></item><item><title>Skills</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/concepts/skills/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/concepts/skills/</guid><description>Filesystem-based skill packages that inject domain expertise and instructions into agent prompts.</description></item><item><title>Skills</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/skills/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/skills/</guid><description>Use skills to give your agents access to specific capabilities.</description></item><item><title>Skills</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/skills/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/skills/</guid><description>Learn how to extend your deep agent&amp;rsquo;s capabilities with skills</description></item><item><title>Skills</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/multi-agent/skills/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/multi-agent/skills/</guid><description/></item><item><title>Skills</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/skills/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/skills/</guid><description>Learn how to extend your deep agent&amp;rsquo;s capabilities with skills</description></item><item><title>Skills</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/multi-agent/skills/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/multi-agent/skills/</guid><description/></item><item><title>Skills for ADK agents</title><link>https://learn-ai.blindshot.kz/docs/google/adk/skills/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/skills/_overview/</guid><description/></item><item><title>Slack Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/slack/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/slack/</guid><description>Team communication and collaboration with Slack integration for CrewAI.</description></item><item><title>Slack Trigger</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/slack-trigger/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/slack-trigger/</guid><description>Trigger CrewAI crews directly from Slack using slash commands</description></item><item><title>Slash Commands</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/slash-commands/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/slash-commands/</guid><description/></item><item><title>Smolagents</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/smolagents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/smolagents/</guid><description>Track and analyze Smolagents agentic applications with Weave&amp;rsquo;s automatic tracing, capturing tool calls, model inferences, and multi-step workflows across OpenAI, Hugging Face, and Anthropic LLM providers.</description></item><item><title>Snowflake Search Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/database-data/snowflakesearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/database-data/snowflakesearchtool/</guid><description>The &amp;lsquo;SnowflakeSearchTool&amp;rsquo; enables CrewAI agents to execute SQL queries and perform semantic search on Snowflake data warehouses.</description></item><item><title>Speaker Selection Strategies</title><link>https://learn-ai.blindshot.kz/docs/microsoft/autogen/speaker-selection/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/microsoft/autogen/speaker-selection/</guid><description>Speaker selection determines which agent speaks next in a GroupChat: round-robin, random, manual, or auto-selection based on agent descriptions and conversation context.</description></item><item><title>Spider Scraper</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/spidertool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/spidertool/</guid><description>The &amp;lsquo;SpiderTool&amp;rsquo; is designed to extract and read the content of a specified website using Spider.</description></item><item><title>SQL Agent with Cohere and LangChain (i-5O Case Study)</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/sql-agent-cohere-langchain/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/sql-agent-cohere-langchain/</guid><description>This page contains a tutorial on how to build a SQL agent with Cohere and LangChain in the manufacturing industry.</description></item><item><title>SSE Transport</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/mcp/sse/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/mcp/sse/</guid><description>Learn how to connect CrewAI to remote MCP servers using Server-Sent Events (SSE) for real-time communication.</description></item><item><title>Stagehand Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/stagehandtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/stagehandtool/</guid><description>Web automation tool that integrates Stagehand with CrewAI for browser interaction and automation</description></item><item><title>Standard deployment</title><link>https://learn-ai.blindshot.kz/docs/google/adk/deploy/agent-engine/deploy/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/deploy/agent-engine/deploy/_overview/</guid><description/></item><item><title>Start a sweep agent</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/sweeps/start-sweep-agents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/sweeps/start-sweep-agents/</guid><description>Start or stop a W&amp;amp;B Sweep Agent on one or more machines.</description></item><item><title>State Management</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/concepts/state/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/concepts/state/</guid><description>Understanding state synchronization between agents and frontends in AG-UI</description></item><item><title>Stdio Transport</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/mcp/stdio/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/mcp/stdio/</guid><description>Learn how to connect CrewAI to local MCP servers using the Stdio (Standard Input/Output) transport mechanism.</description></item><item><title>Stop Reasons</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/stop-reasons/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/stop-reasons/</guid><description/></item><item><title>Store or update an item.</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/store/store-or-update-an-item/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/store/store-or-update-an-item/</guid><description/></item><item><title>Strategic LLM Selection Guide</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/learn/llm-selection-guide/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/learn/llm-selection-guide/</guid><description>Strategic framework for choosing the right LLM for your CrewAI AI agents and writing effective task and agent definitions</description></item><item><title>Streamable HTTP Transport</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/mcp/streamable-http/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/mcp/streamable-http/</guid><description>Learn how to connect CrewAI to remote MCP servers using the flexible Streamable HTTP transport.</description></item><item><title>Streaming</title><link>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/streaming/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/streaming/</guid><description>Stream intermediate tool usage and LLM responses for responsive UIs.</description></item><item><title>Streaming Output</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/streaming-output/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/streaming-output/</guid><description>&lt;p&gt;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 &amp;ndash; 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.&lt;/p&gt;</description></item><item><title>Streaming Vs Single Mode</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/streaming-vs-single-mode/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/streaming-vs-single-mode/</guid><description>&lt;p&gt;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.&lt;/p&gt;</description></item><item><title>Strict Tool Use</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/strict-tool-use/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/strict-tool-use/</guid><description/></item><item><title>Stripe Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/stripe/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/stripe/</guid><description>Payment processing and subscription management with Stripe integration for CrewAI.</description></item><item><title>Structured output</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/frontend/structured-output/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/frontend/structured-output/</guid><description>Render structured agent responses with custom UI components instead of plain text</description></item><item><title>Structured output</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/frontend/structured-output/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/frontend/structured-output/</guid><description>Render structured agent responses with custom UI components instead of plain text</description></item><item><title>Structured Output</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/structured-output/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/capabilities/structured-output/overview/</guid><description>Learn to generate structured outputs like JSON for LLM agents and pipelines, with custom and flexible formatting options</description></item><item><title>Structured Outputs</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/structured-outputs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/structured-outputs/</guid><description>&lt;p&gt;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&amp;rsquo;s structured outputs to understand the tradeoffs in schema expressiveness and enforcement guarantees.&lt;/p&gt;</description></item><item><title>Subagent streaming</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/frontend/subagent-streaming/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/frontend/subagent-streaming/</guid><description>Display specialist subagents with streaming content, progress tracking, and collapsible cards</description></item><item><title>Subagent streaming</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/frontend/subagent-streaming/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/frontend/subagent-streaming/</guid><description>Display specialist subagents with streaming content, progress tracking, and collapsible cards</description></item><item><title>Subagents</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/subagents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/subagents/</guid><description>&lt;p&gt;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&amp;rsquo;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 &amp;ndash; read this after understanding single-agent patterns and before designing multi-agent systems.&lt;/p&gt;</description></item><item><title>Subagents</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/subagents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/subagents/</guid><description>Learn how to use subagents to delegate work and keep context clean</description></item><item><title>Subagents</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/multi-agent/subagents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/multi-agent/subagents/</guid><description/></item><item><title>Subagents</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/subagents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/subagents/</guid><description>Learn how to use subagents to delegate work and keep context clean</description></item><item><title>Subagents</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/multi-agent/subagents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/multi-agent/subagents/</guid><description/></item><item><title>Swarm</title><link>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/swarm_agent_evaluation/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/howtos/integrations/swarm_agent_evaluation/_overview/</guid><description/></item><item><title>System Metrics</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/system/system-metrics/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/system/system-metrics/</guid><description>Get system metrics in Prometheus or JSON format for monitoring and observability.</description></item><item><title>Tasks</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/concepts/tasks/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/concepts/tasks/</guid><description>Detailed guide on managing and creating tasks within the CrewAI framework.</description></item><item><title>Tavily Extractor Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/tavilyextractortool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/tavilyextractortool/</guid><description>Extract structured content from web pages using the Tavily API</description></item><item><title>Tavily Search Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/tavilysearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/tavilysearchtool/</guid><description>Perform comprehensive web searches using the Tavily Search API</description></item><item><title>Team Management</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/team-management/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/team-management/</guid><description>Learn how to invite and manage team members in your CrewAI AMP organization</description></item><item><title>Telemetry</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/telemetry/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/telemetry/</guid><description>Understanding the telemetry data collected by CrewAI and how it contributes to the enhancement of the library.</description></item><item><title>Templates</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-templates/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-templates/</guid><description>Start faster with curated Agent Builder templates and customize tools, prompts, and triggers.</description></item><item><title>Terminate Session</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/mcp/terminate-session/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/mcp/terminate-session/</guid><description>Implemented according to the Streamable HTTP Transport specification.</description></item><item><title>Test</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/test/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/test/_overview/</guid><description>Strategies for testing LangChain agents, including unit tests, integration tests, and trajectory evaluations.</description></item><item><title>Test</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/test/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/test/_overview/</guid><description>Strategies for testing LangChain agents, including unit tests, integration tests, and trajectory evaluations.</description></item><item><title>Test a ReAct agent with Pytest/Vitest and LangSmith</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/test-react-agent-pytest/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/test-react-agent-pytest/</guid><description/></item><item><title>Test Agent Card</title><link>https://learn-ai.blindshot.kz/docs/a2a/a2a-protocol-validator/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/a2a/a2a-protocol-validator/</guid><description>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.</description></item><item><title>Test deployed agents</title><link>https://learn-ai.blindshot.kz/docs/google/adk/deploy/agent-engine/test/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/deploy/agent-engine/test/_overview/</guid><description/></item><item><title>Testing</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/concepts/testing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/concepts/testing/</guid><description>Learn how to test your CrewAI Crew and evaluate their performance.</description></item><item><title>Testset Generation for Agents or Tool use cases</title><link>https://learn-ai.blindshot.kz/docs/ragas/concepts/test_data_generation/agents/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ragas/concepts/test_data_generation/agents/_overview/</guid><description/></item><item><title>Text Editor Tool</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/text-editor-tool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/text-editor-tool/</guid><description>&lt;p&gt;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.&lt;/p&gt;</description></item><item><title>Thinking in LangGraph</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/thinking-in-langgraph/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/thinking-in-langgraph/</guid><description>Learn how to think about building agents with LangGraph</description></item><item><title>Thinking in LangGraph</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/thinking-in-langgraph/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/thinking-in-langgraph/</guid><description>Learn how to think about building agents with LangGraph</description></item><item><title>Ticket Routing</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/about-claude/use-case-guides/ticket-routing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/about-claude/use-case-guides/ticket-routing/</guid><description>Using Claude to automatically classify and route support tickets to the right team based on content analysis.</description></item><item><title>Todo list</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/frontend/todo-list/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/frontend/todo-list/</guid><description>Track agent progress with a real-time todo list synced from agent state</description></item><item><title>Todo list</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/frontend/todo-list/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/frontend/todo-list/</guid><description>Track agent progress with a real-time todo list synced from agent state</description></item><item><title>Todo Tracking</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/todo-tracking/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/todo-tracking/</guid><description/></item><item><title>Together AI Skills</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/agent-skills/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/agent-skills/</guid><description>Give your AI coding agent deep knowledge of the Together AI platform with ready-made skills for inference, training, images, video, audio, and infrastructure.</description></item><item><title>Together Mixture Of Agents (MoA)</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/mixture-of-agents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/mixture-of-agents/</guid><description/></item><item><title>Tool Call Hooks</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/learn/tool-hooks/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/learn/tool-hooks/</guid><description>Learn how to use tool call hooks to intercept, modify, and control tool execution in CrewAI</description></item><item><title>Tool calling</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/frontend/tool-calling/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/frontend/tool-calling/</guid><description>Display agent tool calls with rich, type-safe UI cards</description></item><item><title>Tool calling</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/frontend/tool-calling/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/frontend/tool-calling/</guid><description>Display agent tool calls with rich, type-safe UI cards</description></item><item><title>Tool Combinations</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/tool-combinations/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/tool-combinations/</guid><description/></item><item><title>Tool integrations</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-tools/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-tools/</guid><description>Give your agents access to a wide range of tools and services.</description></item><item><title>Tool integrations</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/tools/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/fleet/tools/</guid><description>Give your agents access to a wide range of tools and services.</description></item><item><title>Tool Reference</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/tool-reference/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/tool-reference/</guid><description/></item><item><title>Tool Repository</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/tool-repository/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/tool-repository/</guid><description>Using the Tool Repository to manage your tools</description></item><item><title>Tool Runner</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/tool-runner/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/tool-runner/</guid><description/></item><item><title>Tool Search</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/tool-search/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/tool-search/</guid><description/></item><item><title>Tool Search Tool</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/tool-search-tool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/tool-search-tool/</guid><description>&lt;p&gt;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.&lt;/p&gt;</description></item><item><title>Tool use &amp; agents - Cohere on Azure AI Foundry</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/cohere-on-azure/azure-ai-tool-use/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/cohere-on-azure/azure-ai-tool-use/</guid><description>A guide for using tool use and building agents with Cohere&amp;rsquo;s Command models on Azure AI Foundry (API v2).</description></item><item><title>Tool use &amp; agents - quickstart</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/tool-use-quickstart/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/tool-use-quickstart/</guid><description>A quickstart guide for using tool use and building agents with Cohere&amp;rsquo;s Command models (v2 API).</description></item><item><title>Tool Use With Prompt Caching</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/tool-use-with-prompt-caching/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/tool-use-with-prompt-caching/</guid><description/></item><item><title>Tools</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/concepts/tools/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/concepts/tools/</guid><description>Understanding and leveraging tools within the CrewAI framework for agent collaboration and task execution.</description></item><item><title>Tools</title><link>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/tools/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/tools/</guid><description>Register Python callables as structured tools, manage schemas, and work with tool contexts.</description></item><item><title>Tools &amp; Integrations</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/features/tools-and-integrations/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/features/tools-and-integrations/</guid><description>Connect external apps and manage internal tools your agents can use.</description></item><item><title>Tools Overview</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/overview/</guid><description>Discover CrewAI&amp;rsquo;s extensive library of 40+ tools to supercharge your AI agents</description></item><item><title>Trace Claude Agent SDK applications</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-claude-agent-sdk/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-claude-agent-sdk/</guid><description/></item><item><title>Trace CrewAI applications</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-with-crewai/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-with-crewai/</guid><description/></item><item><title>Trace Deep Agents applications</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-deep-agents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-deep-agents/</guid><description/></item><item><title>Trace Microsoft Agent Framework applications</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-with-microsoft-agent-framework/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-with-microsoft-agent-framework/</guid><description/></item><item><title>Trace OpenAI Agents SDK applications</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-with-openai-agents-sdk/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/trace-with-openai-agents-sdk/</guid><description/></item><item><title>Traces</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/features/traces/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/features/traces/</guid><description>Using Traces to monitor your Crews</description></item><item><title>Tracing</title><link>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/tracing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/tracing/</guid><description>Capture spans for every agent step, emit data to OpenAI traces, and integrate third-party processors.</description></item><item><title>Training</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/concepts/training/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/concepts/training/</guid><description>Learn how to train your CrewAI agents by giving them feedback early on and get consistent results.</description></item><item><title>Triggers</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-triggers/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-triggers/</guid><description>Configure triggers to start your Agent Builder agents automatically.</description></item><item><title>Triggers Overview</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/automation-triggers/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/automation-triggers/</guid><description>Understand how CrewAI AMP triggers work, how to manage them, and where to find integration-specific playbooks</description></item><item><title>Troubleshooting Tool Use</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/troubleshooting-tool-use/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/troubleshooting-tool-use/</guid><description/></item><item><title>TrueFoundry Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/observability/truefoundry/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/observability/truefoundry/</guid><description/></item><item><title>TXT RAG Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/txtsearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/txtsearchtool/</guid><description>The &amp;lsquo;TXTSearchTool&amp;rsquo; is designed to perform a RAG (Retrieval-Augmented Generation) search within the content of a text file.</description></item><item><title>Types</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/js/core/types/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/js/core/types/</guid><description>Documentation for the core types used in the Agent User Interaction Protocol SDK</description></item><item><title>Types</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/python/core/types/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/python/core/types/</guid><description>Documentation for the core types used in the Agent User Interaction Protocol Python SDK</description></item><item><title>Typescript</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/typescript/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/typescript/</guid><description>&lt;p&gt;The TypeScript SDK mirrors the Python SDK&amp;rsquo;s architecture but leverages TypeScript&amp;rsquo;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.&lt;/p&gt;</description></item><item><title>Typescript V2 Preview</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/typescript-v2-preview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/typescript-v2-preview/</guid><description/></item><item><title>Unit testing</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/test/unit-testing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/test/unit-testing/</guid><description>Test agent logic without API calls using fake chat models and in-memory persistence.</description></item><item><title>Unit testing</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/test/unit-testing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/test/unit-testing/</guid><description>Test agent logic without API calls using fake chat models and in-memory persistence.</description></item><item><title>Update Crew</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/update-crew/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/update-crew/</guid><description>Updating a Crew on CrewAI AMP</description></item><item><title>Update Cron</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/crons/update-cron/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/crons/update-cron/</guid><description>Update a cron job by ID.</description></item><item><title>Update Thread State</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/update-thread-state/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/threads/update-thread-state/</guid><description>Add state to a thread.</description></item><item><title>Usage and pricing</title><link>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/usage/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/usage/</guid><description>Understand token accounting, usage metrics, and cost estimation.</description></item><item><title>Use an Assistant MCP server</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/mcp-server/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/mcp-server/</guid><description>Connect AI agents to Pinecone Assistant via Model Context Protocol.</description></item><item><title>Use Fireworks Agent with Claude Code, Cursor, Codex, and other coding agents</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/agent/use-with-coding-agents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/agent/use-with-coding-agents/</guid><description>Install the Fireworks Agent skill file once and drive end-to-end fine-tuning from your coding agent.</description></item><item><title>Use server-side caching</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/caching/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/caching/</guid><description>Cache values server-side in your agent deployment using stale-while-revalidate and key-value cache APIs.</description></item><item><title>Use the Pinecone MCP server</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/operations/mcp-server/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/operations/mcp-server/</guid><description>Use Pinecone MCP server for AI agent integration.</description></item><item><title>Use W&amp;B Skills</title><link>https://learn-ai.blindshot.kz/docs/wandb/platform/wb-skills/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/platform/wb-skills/</guid><description>Install W&amp;amp;B Skills to teach your coding agent how to train models, build agents, and analyze experiments using W&amp;amp;B&amp;rsquo;s AI development platform.</description></item><item><title>User Input</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/user-input/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agent-sdk/user-input/</guid><description/></item><item><title>Using Annotations in crew.py</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/learn/using-annotations/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/learn/using-annotations/</guid><description>Learn how to use annotations to properly structure agents, tasks, and components in CrewAI</description></item><item><title>Using CrewAI Without LiteLLM</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/learn/litellm-removal-guide/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/learn/litellm-removal-guide/</guid><description>How to use CrewAI with native provider integrations and remove the LiteLLM dependency from your project.</description></item><item><title>Using Multimodal Agents</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/learn/multimodal-agents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/learn/multimodal-agents/</guid><description>Learn how to enable and use multimodal capabilities in your agents for processing images and other non-text content within the CrewAI framework.</description></item><item><title>Verifiers</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/verifiers/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/verifiers/</guid><description>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.</description></item><item><title>Vertex AI hosted</title><link>https://learn-ai.blindshot.kz/docs/google/adk/agents/models/vertex/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/agents/models/vertex/_overview/</guid><description/></item><item><title>Vision Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/ai-ml/visiontool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/ai-ml/visiontool/</guid><description>The &amp;lsquo;VisionTool&amp;rsquo; is designed to extract text from images.</description></item><item><title>Visualization</title><link>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/visualization/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/visualization/</guid><description>Embed tracing dashboards and visualize agent runs directly in notebooks and web apps.</description></item><item><title>vLLM</title><link>https://learn-ai.blindshot.kz/docs/google/adk/agents/models/vllm/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/agents/models/vllm/_overview/</guid><description/></item><item><title>Voice agents</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/voice-agents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/voice-agents/</guid><description>Learn how to build agents that can work with audio and speech.</description></item><item><title>Voice pipeline</title><link>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/voice/pipeline/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/voice/pipeline/</guid><description>Customize audio ingestion, tool execution, and response rendering.</description></item><item><title>Voice quickstart</title><link>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/voice/quickstart/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/voice/quickstart/</guid><description>Build speech-enabled agents with streaming transcription and TTS.</description></item><item><title>VoltAgent</title><link>https://learn-ai.blindshot.kz/docs/chroma/integrations/frameworks/voltagent/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/integrations/frameworks/voltagent/</guid><description/></item><item><title>VoltAgent</title><link>https://learn-ai.blindshot.kz/docs/pinecone/integrations/voltagent/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/integrations/voltagent/</guid><description/></item><item><title>Weather agent</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/examples/weather-agent/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/examples/weather-agent/_overview/</guid><description/></item><item><title>Weave Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/observability/weave/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/observability/weave/</guid><description>Learn how to use Weights &amp;amp; Biases (W&amp;amp;B) Weave to track, experiment with, evaluate, and improve your CrewAI applications.</description></item><item><title>Weaviate Vector Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/database-data/weaviatevectorsearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/database-data/weaviatevectorsearchtool/</guid><description>The &amp;lsquo;WeaviateVectorSearchTool&amp;rsquo; is designed to search a Weaviate vector database for semantically similar documents using hybrid search.</description></item><item><title>Web Fetch Tool</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/web-fetch-tool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/web-fetch-tool/</guid><description>&lt;p&gt;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.&lt;/p&gt;</description></item><item><title>Web Search Tool</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/web-search-tool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/agents-and-tools/tool-use/web-search-tool/</guid><description>&lt;p&gt;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 &amp;ndash; 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.&lt;/p&gt;</description></item><item><title>Webhook Automation</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/webhook-automation/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/webhook-automation/</guid><description>Automate CrewAI AMP workflows using webhooks with platforms like ActivePieces, Zapier, and Make.com</description></item><item><title>Webhook Streaming</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/features/webhook-streaming/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/features/webhook-streaming/</guid><description>Using Webhook Streaming to stream events to your webhook</description></item><item><title>Websearch</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/agents/connectors/websearch/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/agents/connectors/websearch/</guid><description>Websearch enables models to browse the web for real-time, up-to-date information and access specific websites</description></item><item><title>Website RAG Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/websitesearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/websitesearchtool/</guid><description>The &amp;lsquo;WebsiteSearchTool&amp;rsquo; is designed to perform a RAG (Retrieval-Augmented Generation) search within the content of a website.</description></item><item><title>Why Evaluate Agents</title><link>https://learn-ai.blindshot.kz/docs/google/adk/evaluate/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/evaluate/_overview/</guid><description/></item><item><title>Workflow Agents</title><link>https://learn-ai.blindshot.kz/docs/google/adk/agents/workflow-agents/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/agents/workflow-agents/_overview/</guid><description>Workflow agents provide deterministic orchestration without LLM overhead: sequential, parallel, and loop patterns for composing agent execution.</description></item><item><title>Workflow Edges</title><link>https://learn-ai.blindshot.kz/docs/microsoft/agent-framework/edges/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/microsoft/agent-framework/edges/</guid><description>Edge types for controlling workflow transitions: conditional routing, parallel fan-out, and convergence patterns.</description></item><item><title>Workflows and agents</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/workflows-agents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/workflows-agents/</guid><description/></item><item><title>Workflows and agents</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/workflows-agents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/workflows-agents/</guid><description>&lt;p&gt;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.&lt;/p&gt;</description></item><item><title>Workflows Overview</title><link>https://learn-ai.blindshot.kz/docs/microsoft/agent-framework/workflows-overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/microsoft/agent-framework/workflows-overview/</guid><description>Graph-based workflow orchestration: defining agents as nodes, transitions as edges, and execution strategies (sequential, parallel, conditional).</description></item><item><title>Workflows Tutorial</title><link>https://learn-ai.blindshot.kz/docs/microsoft/agent-framework/workflows/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/microsoft/agent-framework/workflows/</guid><description>Tutorial on defining graph-based multi-agent workflows with executors and edges.</description></item><item><title>Workspace setup</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-setup/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-builder-setup/</guid><description>Add required workspace secrets for models and tools used by Agent Builder.</description></item><item><title>XML RAG Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/xmlsearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/xmlsearchtool/</guid><description>The &amp;lsquo;XMLSearchTool&amp;rsquo; is designed to perform a RAG (Retrieval-Augmented Generation) search within the content of a XML file.</description></item><item><title>Your First Agent</title><link>https://learn-ai.blindshot.kz/docs/microsoft/agent-framework/your-first-agent/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/microsoft/agent-framework/your-first-agent/</guid><description>Step-by-step tutorial to build your first agent with the Microsoft Agent Framework.</description></item><item><title>YouTube Channel RAG Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/youtubechannelsearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/youtubechannelsearchtool/</guid><description>The &amp;lsquo;YoutubeChannelSearchTool&amp;rsquo; is designed to perform a RAG (Retrieval-Augmented Generation) search within the content of a Youtube channel.</description></item><item><title>YouTube Video RAG Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/youtubevideosearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/youtubevideosearchtool/</guid><description>The &amp;lsquo;YoutubeVideoSearchTool&amp;rsquo; is designed to perform a RAG (Retrieval-Augmented Generation) search within the content of a Youtube video.</description></item><item><title>Zapier Actions Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/automation/zapieractionstool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/automation/zapieractionstool/</guid><description>The &amp;lsquo;ZapierActionsAdapter&amp;rsquo; exposes Zapier actions as CrewAI tools for automation.</description></item><item><title>Zapier Trigger</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/zapier-trigger/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/guides/zapier-trigger/</guid><description>Trigger CrewAI crews from Zapier workflows to automate cross-app workflows</description></item><item><title>Zendesk Integration</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/zendesk/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/enterprise/integrations/zendesk/</guid><description>Customer support and helpdesk management with Zendesk integration for CrewAI.</description></item></channel></rss>