Changelog

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Release Highlights

Core Improvements & Fixes

• Upgraded crewai-tools to latest version
• Upgraded liteLLM to latest version
• Fixed Mem0 OSS

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Release Highlights

New Features & Enhancements

• Added result_as_answer parameter support in @tool decorator.
• Introduced support for new language models: GPT-4.1, Gemini-2.0, and Gemini-2.5 Pro.
• Enhanced knowledge management capabilities.
• Added Huggingface provider option in CLI.
• Improved compatibility and CI support for Python 3.10+.

Core Improvements & Fixes

• Fixed issues with incorrect template parameters and missing inputs.
• Improved asynchronous flow handling with coroutine condition checks.
• Enhanced memory management with isolated configuration and correct memory object copying.
• Fixed initialization of lite agents with correct references.
• Addressed Python type hint issues and removed redundant imports.
• Updated event placement for improved tool usage tracking.
• Raised explicit exceptions when flows fail.
• Removed unused code and redundant comments from various modules.
• Updated GitHub App token action to v2.

Documentation & Guides

• Enhanced documentation structure, including enterprise deployment instructions.
• Automatically create output folders for documentation generation.
• Fixed broken link in WeaviateVectorSearchTool documentation.
• Fixed guardrail documentation usage and import paths for JSON search tools.
• Updated documentation for CodeInterpreterTool.
• Improved SEO, contextual navigation, and error handling for documentation pages.

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Release Highlights

New Features & Enhancements

• Agents as an atomic unit. (Agent(...).kickoff())
• Support for Custom LLM implementations.
• Integrated External Memory and Opik observability.
• Enhanced YAML extraction.
• Multimodal agent validation.
• Added Secure fingerprints for agents and crews.

Core Improvements & Fixes

• Improved serialization, agent copying, and Python compatibility.
• Added wildcard support to emit()
• Added support for additional router calls and context window adjustments.
• Fixed typing issues, validation, and import statements.
• Improved method performance.
• Enhanced agent task handling, event emissions, and memory management.
• Fixed CLI issues, conditional tasks, cloning behavior, and tool outputs.

Documentation & Guides

• Improved documentation structure, theme, and organization.
• Added guides for Local NVIDIA NIM with WSL2, W&B Weave, and Arize Phoenix.
• Updated tool configuration examples, prompts, and observability docs.
• Guide on using singular agents within Flows.

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Release Highlights

New Features & Enhancements

• Converted tabs to spaces in crew.py template
• Enhanced LLM Streaming Response Handling and Event System
• Included model_name
• Enhanced Event Listener with rich visualization and improved logging
• Added fingerprints

Bug Fixes

• Fixed Mistral issues
• Fixed a bug in documentation
• Fixed type check error in fingerprint property

Documentation Updates

• Improved tool documentation
• Updated installation guide for the uv tool package
• Added instructions for upgrading crewAI with the uv tool
• Added documentation for ApifyActorsTool

Core Improvements & Fixes

• Fixed issues with missing template variables and user memory configuration
• Improved async flow support and addressed agent response formatting
• Enhanced memory reset functionality and fixed CLI memory commands
• Fixed type issues, tool calling properties, and telemetry decoupling

New Features & Enhancements

• Added Flow state export and improved state utilities
• Enhanced agent knowledge setup with optional crew embedder
• Introduced event emitter for better observability and LLM call tracking
• Added support for Python 3.10 and ChatOllama from langchain_ollama
• Integrated context window size support for the o3-mini model
• Added support for multiple router calls

Documentation & Guides

• Improved documentation layout and hierarchical structure
• Added QdrantVectorSearchTool guide and clarified event listener usage
• Fixed typos in prompts and updated Amazon Bedrock model listings

Core Improvements & Fixes

• Enhanced LLM Support: Improved structured LLM output, parameter handling, and formatting for Anthropic models
• Crew & Agent Stability: Fixed issues with cloning agents/crews using knowledge sources, multiple task outputs in conditional tasks, and ignored Crew task callbacks
• Memory & Storage Fixes: Fixed short-term memory handling with Bedrock, ensured correct embedder initialization, and added a reset memories function in the crew class
• Training & Execution Reliability: Fixed broken training and interpolation issues with dict and list input types

New Features & Enhancements

• Advanced Knowledge Management: Improved naming conventions and enhanced embedding configuration with custom embedder support
• Expanded Logging & Observability: Added JSON format support for logging and integrated MLflow tracing documentation
• Data Handling Improvements: Updated excel_knowledge_source.py to process multi-tab files
• General Performance & Codebase Clean-Up: Streamlined enterprise code alignment and resolved linting issues
• Adding new tool: QdrantVectorSearchTool

Documentation & Guides

• Updated AI & Memory Docs: Improved Bedrock, Google AI, and long-term memory documentation
• Task & Workflow Clarity: Added “Human Input” row to Task Attributes, Langfuse guide, and FileWriterTool documentation
• Fixed Various Typos & Formatting Issues

Features

• Add Composio docs
• Add SageMaker as a LLM provider

Fixes

• Overall LLM connection issues
• Using safe accessors on training
• Add version check to crew_chat.py

Documentation

• New docs for crewai chat
• Improve formatting and clarity in CLI and Composio Tool docs

Features

• Conversation crew v1
• Add unique ID to flow states
• Add @persist decorator with FlowPersistence interface

Integrations

• Add SambaNova integration
• Add NVIDIA NIM provider in cli
• Introducing VoyageAI

Fixes

• Fix API Key Behavior and Entity Handling in Mem0 Integration
• Fixed core invoke loop logic and relevant tests
• Make tool inputs actual objects and not strings
• Add important missing parts to creating tools
• Drop litellm version to prevent windows issue
• Before kickoff if inputs are none
• Fixed typos, nested pydantic model issue, and docling issues

New Features

• Adding Multimodal Abilities to Crew
• Programatic Guardrails
• HITL multiple rounds
• Gemini 2.0 Support
• CrewAI Flows Improvements
• Add Workflow Permissions
• Add support for langfuse with litellm
• Portkey Integration with CrewAI
• Add interpolate_only method and improve error handling
• Docling Support
• Weviate Support

Fixes

• output_file not respecting system path
• disk I/O error when resetting short-term memory
• CrewJSONEncoder now accepts enums
• Python max version
• Interpolation for output_file in Task
• Handle coworker role name case/whitespace properly
• Add tiktoken as explicit dependency and document Rust requirement
• Include agent knowledge in planning process
• Change storage initialization to None for KnowledgeStorage
• Fix optional storage checks
• include event emitter in flows
• Docstring, Error Handling, and Type Hints Improvements
• Suppressed userWarnings from litellm pydantic issues

Changes

• Remove all references to pipeline and pipeline router
• Add Nvidia NIM as provider in Custom LLM
• Add knowledge demo + improve knowledge docs
• Add HITL multiple rounds of followup
• New docs about yaml crew with decorators
• Simplify template crew

Features

• Added knowledge to agent level
• Feat/remove langchain
• Improve typed task outputs
• Log in to Tool Repository on crewai login

Fixes

• Fixes issues with result as answer not properly exiting LLM loop
• Fix missing key name when running with ollama provider
• Fix spelling issue found

Documentation

• Update readme for running mypy
• Add knowledge to mint.json
• Update Github actions
• Update Agents docs to include two approaches for creating an agent
• Improvements to LLM Configuration and Usage

New Features

• New before_kickoff and after_kickoff crew callbacks
• Support to pre-seed agents with Knowledge
• Add support for retrieving user preferences and memories using Mem0

Fixes

• Fix Async Execution
• Upgrade chroma and adjust embedder function generator
• Update CLI Watson supported models + docs
• Reduce level for Bandit
• Fixing all tests

Documentation

• Update Docs

Fixes

• Fixing Tokens callback replacement bug
• Fixing Step callback issue
• Add cached prompt tokens info on usage metrics
• Fix crew_train_success test