* Added add_sources()
* Fixed the agent knowledge querying
* Added test cases
* Fixed linting issue
* Fixed logic
* Seems like a falky test case
* Minor changes
* Added knowledge attriute to the crew documentation
* Flaky test
* fixed spaces
* Flaky Test Case
* Seems like a flaky test case
---------
Co-authored-by: Lucas Gomide <lucaslg200@gmail.com>
* fix: correct code example language inconsistency in pt-BR docs
* fix: fix: fully standardize code example language and naming in pt-BR docs
* fix: fix: fully standardize code example language and naming in pt-BR docs fixed variables
* fix: fix: fully standardize code example language and naming in pt-BR docs fixed params
---------
Co-authored-by: Lucas Gomide <lucaslg200@gmail.com>
* Add Reo.dev tracking script to documentation
* Comprehensive docs improvements and development tools
- Add comprehensive .cursorrules with CrewAI and Flow development patterns
- Add redirect rules for old doc links without /en/ prefix
- Replace changelog pages with direct GitHub releases links
- Fix installation page directory tree rendering issue
- Fix broken Visual Studio Build Tools link formatting
- Remove obsolete changelog files to reduce maintenance overhead
These changes improve developer experience and ensure all old documentation links continue working.
* feat: add capability to track LLM calls by task and agent
This makes it possible to filter or scope LLM events by specific agents or tasks, which can be very useful for debugging or analytics in real-time application
* feat: add docs about LLM tracking by Agents and Tasks
* fix incompatible BaseLLM.call method signature
* feat: support to filter LLM Events from Lite Agent
* Adding Nebius to docs
Submitting this PR on behalf of Nebius AI Studio to add Nebius models to the CrewAI documentation.
I tested with the latest CrewAI + Nebius setup to ensure compatibility.
cc @tonykipkemboi
* updated LiteLLM page
---------
Co-authored-by: Lucas Gomide <lucaslg200@gmail.com>
* docs: add pt-br translations
Powered by a CrewAI Flow https://github.com/danielfsbarreto/docs_translator
* Update mcp/overview.mdx brazilian docs
Its en-US counterpart was updated after I did a pass,
so now it includes the new section about @CrewBase
- Introduced detailed documentation for integrations including Asana, Box, ClickUp, GitHub, Gmail, Google Calendar, Google Sheets, HubSpot, Jira, Linear, Notion, Salesforce, Shopify, Slack, Stripe, and Zendesk.
- Updated main docs.json to include a new "Integration Docs" section, organizing the documentation for easy access.
- Each integration includes setup instructions, available actions, and example tasks to streamline user onboarding and usage.
* test: fix structured tool tests
No tests were being executed from this file
* feat: support to run async tool
Some Tool requires async execution. This commit allow us to collect tool result from coroutines
* docs: add docs about asynchronous tool support
- Introduced a new documentation file for Integrations, detailing supported services and setup instructions.
- Updated the main docs.json to include the new "integrations" feature in the contextual options.
- Added several images related to integrations to enhance the documentation.
Co-authored-by: Tony Kipkemboi <iamtonykipkemboi@gmail.com>
* docs: add organization management in our CLI docs
* feat: improve user feedback when user is not authenticated
* feat: improve logging about current organization while publishing/install a Tool
* feat: improve logging when Agent repository is not found during fetch
* fix linter offences
* test: fix auth token error
* docs: added Maxim support for Agent Observability
* enhanced the maxim integration doc page as per the github PR reviewer bot suggestions
* Update maxim-observability.mdx
* Update maxim-observability.mdx
- Fixed Python version, >=3.10
- added expected_output field in Task
- Removed marketing links and added github link
* added maxim in observability
---------
Co-authored-by: Tony Kipkemboi <iamtonykipkemboi@gmail.com>
* ci: support python 3.13 on CI
* docs: update docs about support python version
* build: adds requires python <3.14
* build: explicit tokenizers dependency
Added explicit tokenizers dependency: Added tokenizers>=0.20.3 to ensure a version compatible with Python 3.13 is used.
* build: drop fastembed is not longer used
* build: attempt to build PyTorch on Python 3.13
* feat: upgrade fastavro, pyarrow and lancedb
* build: ensure tiktoken greather than 0.8.0 due Python 3.13 compatibility
This commit includes several enhancements to the MCP integration guide:
- Adds a section on connecting to multiple MCP servers with a runnable example.
- Ensures consistent mention and examples for Streamable HTTP transport.
- Adds a manual lifecycle example for Streamable HTTP.
- Clarifies Stdio command examples.
- Refines definitions of Stdio, SSE, and Streamable HTTP transports.
- Simplifies comments in code examples for clarity.
* docs: Fix major memory system documentation issues - Remove misleading deprecation warnings, fix confusing comments, clearly separate three memory approaches, provide accurate examples that match implementation
* fix: Correct broken image paths in README - Update crewai_logo.png and asset.png paths to point to docs/images/ directory instead of docs/ directly
* docs: Add system prompt transparency and customization guide - Add 'Understanding Default System Instructions' section to address black-box concerns - Document what CrewAI automatically injects into prompts - Provide code examples to inspect complete system prompts - Show 3 methods to override default instructions - Include observability integration examples with Langfuse - Add best practices for production prompt management
* docs: Fix implementation accuracy issues in memory documentation - Fix Ollama embedding URL parameter and remove unsupported Cohere input_type parameter
* docs: Reference observability docs instead of showing specific tool examples
* docs: Reorganize knowledge documentation for better developer experience - Move quickstart examples right after overview for immediate hands-on experience - Create logical learning progression: basics → configuration → advanced → troubleshooting - Add comprehensive agent vs crew knowledge guide with working examples - Consolidate debugging and troubleshooting in dedicated section - Organize best practices by topic in accordion format - Improve content flow from simple concepts to advanced features - Ensure all examples are grounded in actual codebase implementation
* docs: enhance custom LLM documentation with comprehensive examples and accurate imports
* docs: reorganize observability tools into dedicated section with comprehensive overview and improved navigation
* docs: rename how-to section to learn and add comprehensive overview page
* docs: finalize documentation reorganization and update navigation labels
* docs: enhance README with comprehensive badges, navigation links, and getting started video
* Add Common Room tracking to documentation - Script will track all documentation page views - Follows Mintlify custom JS implementation pattern - Enables comprehensive docs usage insights
* docs: move human-in-the-loop guide to enterprise section and update navigation - Move human-in-the-loop.mdx from learn to enterprise/guides - Update docs.json navigation to reflect new organization
* docs: Fix major memory system documentation issues - Remove misleading deprecation warnings, fix confusing comments, clearly separate three memory approaches, provide accurate examples that match implementation
* fix: Correct broken image paths in README - Update crewai_logo.png and asset.png paths to point to docs/images/ directory instead of docs/ directly
* docs: Add system prompt transparency and customization guide - Add 'Understanding Default System Instructions' section to address black-box concerns - Document what CrewAI automatically injects into prompts - Provide code examples to inspect complete system prompts - Show 3 methods to override default instructions - Include observability integration examples with Langfuse - Add best practices for production prompt management
* docs: Fix implementation accuracy issues in memory documentation - Fix Ollama embedding URL parameter and remove unsupported Cohere input_type parameter
* docs: Reference observability docs instead of showing specific tool examples
* docs: Reorganize knowledge documentation for better developer experience - Move quickstart examples right after overview for immediate hands-on experience - Create logical learning progression: basics → configuration → advanced → troubleshooting - Add comprehensive agent vs crew knowledge guide with working examples - Consolidate debugging and troubleshooting in dedicated section - Organize best practices by topic in accordion format - Improve content flow from simple concepts to advanced features - Ensure all examples are grounded in actual codebase implementation
* docs: enhance custom LLM documentation with comprehensive examples and accurate imports
* docs: reorganize observability tools into dedicated section with comprehensive overview and improved navigation
* docs: rename how-to section to learn and add comprehensive overview page
* docs: finalize documentation reorganization and update navigation labels
* docs: enhance README with comprehensive badges, navigation links, and getting started video
