0.148.0

What's Changed

Core Improvements & Fixes

• Used production WorkOS environment ID
• Added SQLite FTS5 support to test workflow
• Fixed agent knowledge handling
• Compared using BaseLLM class instead of LLM
• Fixed missing create_directory parameter in Task class

New Features & Enhancements

• Introduced Agent evaluation functionality
• Added Evaluator experiment and regression testing methods
• Implemented thread-safe AgentEvaluator
• Enabled event emission for Agent evaluation
• Supported evaluation of single Agent and LiteAgent
• Added integration with neatlogs
• Added crew context tracking for LLM guardrail events

Documentation & Guides

• Added documentation for guardrail attributes and usage examples
• Added integration guide for neatlogs
• Updated documentation for Agent repository and Agent.kickoff usage

0.141.0

What's Changed

Core Improvements & Fixes

• Sped up GitHub Actions tests through parallelization

New Features & Enhancements

• Added crew context tracking for LLM guardrail events

Documentation & Guides

• Added documentation for Agent repository usage
• Added documentation for Agent.kickoff method

0.140.0

What's Changed

Core Improvements & Fixes

• Fixed typo in test prompts
• Fixed project name normalization by stripping trailing slashes during crew creation
• Ensured environment variables are written in uppercase
• Updated LiteLLM dependency
• Refactored collection handling in RAGStorage
• Implemented PEP 621 dynamic versioning

New Features & Enhancements

• Added capability to track LLM calls by task and agent
• Introduced MemoryEvents to monitor memory usage
• Added console logging for memory system and LLM guardrail events
• Improved data training support for models up to 7B parameters
• Added Scarf and Reo.dev analytics tracking
• CLI workos login

Documentation & Guides

• Updated CLI LLM documentation
• Added Nebius integration to the docs
• Corrected typos in installation and pt-BR documentation
• Added docs about MemoryEvents
• Implemented docs redirects and included development tools

0.134.0

What's Changed

Core Improvements & Fixes

• Fixed tools parameter syntax
• Fixed type annotation in Task
• Fixed SSL error when retrieving LLM data from GitHub
• Ensured compatibility with Pydantic 2.7.x
• Removed mkdocs from project dependencies
• Upgraded Langfuse code examples to use Python SDK v3
• Added sanitize role feature in mem0 storage
• Improved Crew search during memory reset
• Improved console printer output

New Features & Enhancements

• Added support for initializing a tool from defined Tool attributes
• Added official way to use MCP Tools within a CrewBase
• Enhanced MCP tools support to allow selecting multiple tools per agent in CrewBase
• Added Oxylabs Web Scraping tools

Documentation & Guides

• Updated quickstart.mdx
• Added docs on LLMGuardrail events
• Updated documentation with comprehensive service integration details
• Updated recommendation filters for MCP and Enterprise tools
• Updated docs for Maxim observability
• Added pt-BR documentation translation
• General documentation improvements

0.130.0

What's Changed

Core Improvements & Fixes

• Removed duplicated message related to Tool result output
• Fixed missing manager_agent tokens in usage_metrics from kickoff
• Fixed telemetry singleton to respect dynamic environment variables
• Fixed issue where Flow status logs could hide human input
• Increased default X-axis spacing for flow plotting

New Features & Enhancements

• Added support for multi-org actions in the CLI
• Enabled async tool executions for more efficient workflows
• Introduced LiteAgent with Guardrail integration
• Upgraded LiteLLM to support latest OpenAI version

Documentation & Guides

• Documented minimum UV version for Tool repository
• Improved examples for Hallucination Guardrail
• Updated planning docs for LLM usage
• Added documentation for Maxim support in Agent observability
• Expanded integrations documentation with images for enterprise features
• Fixed guide on persistence
• Updated Python version support to support python 3.13.x

0.126.0

What’s Changed

Core Improvements & Fixes

• Added support for Python 3.13
• Fixed agent knowledge sources issue
• Persisted available tools from a Tool repository
• Enabled tools to be loaded from Agent repository via their own module
• Logged usage of tools when called by an LLM

New Features & Enhancements

• Added streamable-http transport support in MCP integration
• Added support for community analytics
• Expanded OpenAI-compatible section with a Gemini example
• Introduced transparency features for prompts and memory systems
• Minor enhancements for Tool publishing

Documentation & Guides

• Major restructuring of docs for better navigation
• Expanded MCP integration documentation
• Updated memory docs and README visuals
• Fixed missing await keywords in async kickoff examples
• Updated Portkey and Azure embeddings documentation
• Added enterprise testing image to the LLM guide
• General updates to the README

0.121.1

Bug fixes and better docs

0.121.0

What’s Changed

Core Improvements & Fixes

• Fixed encoding error when creating tools
• Fixed failing llama test
• Updated logging configuration for consistency
• Enhanced telemetry initialization and event handling

New Features & Enhancements

• Added markdown attribute to the Task class
• Added reasoning attribute to the Agent class
• Added inject_date flag to Agent for automatic date injection
• Implemented HallucinationGuardrail (no-op with test coverage)

Documentation & Guides

• Added documentation for StagehandTool and improved MDX structure
• Added documentation for MCP integration and updated enterprise docs
• Documented knowledge events and updated reasoning docs
• Added stop parameter documentation
• Fixed import references in doc examples (before_kickoff, after_kickoff)
• General docs updates and restructuring for clarity

0.120.1

Whats New

• Fixes Interpolation with hyphens

0.120.0

What’s Changed

Core Improvements & Fixes

•	Enabled full Ruff rule set by default for stricter linting
•	Addressed race condition in FilteredStream using context managers
•	Fixed agent knowledge reset issue
•	Refactored agent fetching logic into utility module

New Features & Enhancements

•	Added support for loading an Agent directly from a repository
•	Enabled setting an empty context for Task
•	Enhanced Agent repository feedback and fixed Tool auto-import behavior
•	Introduced direct initialization of knowledge (bypassing knowledge_sources)

Documentation & Guides

•	Updated security.md for current security practices
•	Cleaned up Google setup section for clarity
•	Added link to AI Studio when entering Gemini key
•	Updated Arize Phoenix observability guide
•	Refreshed flow documentation