AI Knowledge Base

  • Catalog
  • Learning Paths
  • Courses
  • Search
  • Glossary
        • Understanding A2A
          • Build an MCP client
          • Build an MCP server
          • Connect to local MCP servers
          • Connect to remote MCP Servers
          • What is the Model Context Protocol (MCP)?
          • Architecture overview
          • Understanding MCP clients
          • Understanding MCP servers
          • MCP Inspector
            • Security Best Practices
            • Understanding Authorization in MCP
        • SDKs
          • Build an MCP App
        • Frequently Asked Questions
        • How to Authenticate When Publishing to the Official MCP Registry
        • How to Automate Publishing with GitHub Actions
        • MCP Registry Supported Package Types
        • Publishing Remote Servers
        • Quickstart: Publish an MCP Server to the MCP Registry
        • The MCP Registry
        • Versioning Published MCP Servers
              • Authorization
              • Lifecycle
              • Transports
              • Sampling
              • Prompts
              • Resources
              • Tools
        • Introduction to the Anthropic Platform
        • Get Started
            • Choosing A Model
            • Migration Guide
            • Overview
            • Content Moderation
            • Customer Support Chat
            • Legal Summarization
            • Overview
            • Ticket Routing
          • Pricing
          • Agent SDK — Overview
          • Cost Tracking
          • Custom Tools
          • Hooks
          • Hosting
          • Mcp
          • Migration Guide
          • Modifying System Prompts
          • Permissions
          • Plugins
          • Python
          • Quickstart
          • Secure Deployment
          • Skills
          • Streaming Output
          • Streaming Vs Single Mode
          • Structured Outputs
          • Subagents
          • Typescript
            • Best Practices
            • Enterprise
            • Overview
            • Quickstart
            • Tool Use — Overview
            • Implement Tool Use
            • Bash Tool
            • Code Execution Tool
            • Computer Use Tool
            • Fine Grained Tool Streaming
            • Memory Tool
            • Programmatic Tool Calling
            • Text Editor Tool
            • Tool Search Tool
            • Web Fetch Tool
            • Web Search Tool
          • Mcp Connector
          • Remote Mcp Servers
          • Build with Claude — Overview
          • Working With Messages
          • Streaming
          • Structured Outputs
          • Extended Thinking
            • Claude Prompting Best Practices
            • Overview
            • Prompting Tools
          • Vision
          • Prompt Caching
          • Batch Processing
          • Pdf Support
          • Skills Guide
          • Token Counting
            • Library
            • Handle Streaming Refusals
            • Increase Consistency
            • Mitigate Jailbreaks
            • Reduce Hallucinations
            • Reduce Latency
            • Reduce Prompt Leak
          • Best Practices for Claude Code
          • Claude Code overview
          • Claude Code settings
          • Common workflows
          • Configure permissions
          • Connect Claude Code to tools via MCP
          • Create custom subagents
          • Hooks reference
          • How Claude Code works
          • Manage Claude's memory
          • Quickstart
          • Run Claude Code programmatically
          • Core architecture
          • Events
          • Introduction
        • MCP, A2A, and AG-UI
                    • Agent definitions
                    • Guardrails and human review
                    • Integrations and observability
                    • Models and providers
                    • Orchestration and handoffs
                    • Quickstart
                    • Results and state
                    • Running agents
                    • Sandbox Agents
                      • Cybersecurity checks
                      • Under 18 API Guidance
                    • Agent evals
                    • API deployment checklist
                    • Audio and speech
                    • Batch API
                    • Computer use
                    • Connectors and MCP servers
                    • Conversation state
                    • Cost optimization
                    • Counting tokens
                    • Data controls in the OpenAI platform
                    • Deep research
                    • Evaluation best practices
                    • File search
                    • Fine-tuning best practices
                    • Function calling
                    • Getting started with datasets
                    • Image generation
                    • Image generation
                    • Images and vision
                    • Model selection
                    • Moderation
                    • Production best practices
                    • Prompt caching
                    • Prompt engineering
                    • Rate limits
                    • Reasoning best practices
                    • Reasoning models
                    • Red teaming
                    • Reinforcement fine-tuning
                    • Reinforcement fine-tuning use cases
                    • Retrieval
                    • Safety best practices
                    • Safety in building agents
                    • Streaming API responses
                    • Structured model outputs
                    • Supervised fine-tuning
                    • Text generation
                    • Trace grading
                    • Using realtime models
                    • Using tools
                    • Vector embeddings
                    • Web search
                    • Working with evals
                    • Developer quickstart
                    • Key concepts
                • Agents
                • Guardrails
                • Handoffs
                • Symphony Overview
                • Symphony Service Specification
                • Elixir Reference Implementation
                • WORKFLOW.md Configuration
                • Orchestration State Machine
                  • Agents Introduction
                    • Embeddings Overview
                  • Function calling
                  • Moderation
                  • Vision
                • A Guide to Streaming Responses
                • Basic usage of tool use (function calling)
                • Building Agentic RAG with Cohere
                • Deployment Options - Overview
                • How do Structured Outputs Work?
                • Introduction to Embeddings at Cohere
                • Master Reranking with Cohere Models
                • RAG Citations
                • Retrieval Augmented Generation (RAG)
                • Retrieval augmented generation (RAG) - quickstart
                • Safety Modes
                • Semantic search - quickstart
                • Semantic Search with Cohere Models
                • Tool use & agents - quickstart
                • Unlocking the Power of Multimodal Embeddings
                • Using Cohere's Models to Work with Image Inputs
                          • Build a multi-source knowledge base with routing
                          • Handoffs
                          • Build a RAG agent with LangChain
                          • Model Context Protocol (MCP)
                          • Retrieval
                            • Build a custom RAG agent with LangGraph
                            • LangSmith Deployment
                            • Memory
                            • Streaming
                            • Thinking in LangGraph
                            • Workflows and agents
                          • Agents
                          • Crews
                          • Production Architecture
                          • Tasks
                            • Programming Overview
                            • Multi-agent systems
                            • Workflow Agents
                    • DeepSeek
                      • Together AI
                            • Agent Framework Overview
                            • Workflows Overview
                            • GroupChat Pattern
                            • Spec-Driven Development
                            • SDD Tools: Kiro, Spec Kit, and Tessl
                            • SDD: Unpacking 2025's Key Engineering Practices
                            • SDD Overview
                            • Spec-Driven Development: When Architecture Becomes Executable
                            • The Rise of Spec-Driven Development
                            • SDD: From Code to Contract in the Age of AI Coding Assistants
                            • TDD vs BDD vs SDD
                            • Build What You Mean, Not What You Guess
                            • My LLM Coding Workflow Going into 2026
                            • How to Write a Good Spec for AI Agents
                            • Vibe Coding Is Not AI-Assisted Engineering
                            • Mastering SDD with AI Workflows
                            • SDD with AI: Open Source Toolkit
                            • Spec-Driven Development Guide
                            • SDD with Claude Code
                            • Getting Started with GitHub Spec Kit
                            • GitHub Spec Kit
                            • Tessl Spec-Driven Framework
                            • Awesome Spec-Driven Development
                            • What Product Managers Need to Know About LLMs
                            • 16 Changes to the Way Enterprises Are Building and Buying Generative AI
                            • Generative AI's Act Two
                            • The EU's AI Act and How Companies Can Achieve Compliance
                            • Designing a Responsible AI Program? Start with this Checklist
                            • Building LLM Applications for Production
                            • What Is an AI Agent?
                            • The Economic Potential of Generative AI: The Next Productivity Frontier
                            • Who Owns the Generative AI Platform?
                            • Generative AI Glossary for Business Leaders
                            • Emerging Architectures for LLM Applications
                            • How 100 Enterprise CIOs Are Building and Buying Gen AI in 2025
                            • The Rise of the AI Engineer
                              • Pinecone documentation
                        • Safetensors
                          • PEFT
                                    • LoRA
                                      • PEFT
                                  • TRL
                                      • SFT Trainer
                                      • TRL - Transformers Reinforcement Learning
                                  • Fireworks AI
                                                  • Training Overview
                                                  • Serverless Quickstart
                                                          • Pydantic AI
                                                                    • Instructor
                                                                        • Getting Started
                                                                        • Metrics Introduction
                                                                              • Chroma
                                                                                • RAGAS
                                                                                  • Weights & Biases
                                                                                    • Sources
                                                                                    • Topics
                                                                                    • Difficulty
                                                                                    • Content Types

                                                                                    Multi-agent patterns

                                                                                    Multi-agent patterns ↗

                                                                                    openai-agents spec intermediate agents
                                                                                    no
                                                                                    Summary: Architect teams of agents that collaborate, escalate, or specialize by capability.
                                                                                    Read Original Documentation ↗
                                                                                    Source: OpenAI Agents SDK
                                                                                    Link last verified: 2026-02-26
                                                                                    Sign out