Get Started
Guides
Core Concepts
MCP Integration
Tools
Observability
- CrewAI Tracing
- Overview
- Arize Phoenix
- Braintrust
- Datadog Integration
- Galileo
- LangDB Integration
- Langfuse Integration
- Langtrace Integration
- Maxim Integration
- MLflow Integration
- Neatlogs Integration
- OpenLIT Integration
- Opik Integration
- Patronus AI Evaluation
- Portkey Integration
- Weave Integration
- TrueFoundry Integration
Learn
- Overview
- Strategic LLM Selection Guide
- Conditional Tasks
- Coding Agents
- Create Custom Tools
- Custom LLM Implementation
- Custom Manager Agent
- Customize Agents
- Image Generation with DALL-E
- Force Tool Output as Result
- Hierarchical Process
- Human Input on Execution
- Human-in-the-Loop (HITL) Workflows
- Human Feedback in Flows
- Kickoff Crew Asynchronously
- Kickoff Crew for Each
- Connect to any LLM
- Using Multimodal Agents
- Replay Tasks from Latest Crew Kickoff
- Sequential Processes
- Using Annotations in crew.py
- Execution Hooks Overview
- LLM Call Hooks
- Tool Call Hooks
Telemetry
Learn
Strategic LLM Selection Guide
Strategic framework for choosing the right LLM for your CrewAI AI agents and writing effective task and agent definitions
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