- Add regex pattern validation for execution_image parameter
- Refactor get_code_execution_tools() to eliminate code duplication using tool_kwargs
- Add comprehensive tests for invalid Docker image format validation
- Add tests for various valid Docker image formats
- Update documentation with best practices section for custom Docker images
- Fix lint issues: remove unused imports and variables
Addresses feedback from joaomdmoura in PR #2934
Co-Authored-By: João <joao@crewai.com>
- Add execution_image field to Agent class for specifying custom Docker images
- Modify get_code_execution_tools() to pass custom image to CodeInterpreterTool
- Add comprehensive tests for the new functionality
- Update documentation with usage examples
- Fixes#2933: Allow customizing CrewAI code executor Docker image
Co-Authored-By: João <joao@crewai.com>
* 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
