​

v0.177.0

​

Core Improvements & Fixes

• Achieved parity between rag package and current implementation
• Enhanced LLM event handling with task and agent metadata
• Fixed mutable default arguments by replacing them with None
• Suppressed Pydantic deprecation warnings during initialization
• Fixed broken example link in README.md
• Removed Python 3.12+ only Ruff rules for compatibility
• Migrated CI workflows to use uv and updated dev tooling

​

New Features & Enhancements

• Added tracing improvements and cleanup
• Centralized event logic by moving events module to crewai.events

​

Documentation & Guides

• Updated Enterprise Action Auth Token section documentation
• Published documentation updates for v0.175.0 release

​

Cleanup & Refactoring

• Refactored parser into modular functions for better structure

​

v0.175.0

​

Core Improvements & Fixes

• Fixed migration of the tool section during crewai update
• Reverted OpenAI pin: now requires openai >=1.13.3 due to fixed import issues
• Fixed flaky tests and improved test stability
• Improved Flow listener resumability for HITL and cyclic flows
• Enhanced timeout handling in PlusAPI and TraceBatchManager
• Batched entity memory items to reduce redundant operations

​

New Features & Enhancements

• Added support for additional parameters in Flow.start() methods
• Displayed task names in verbose CLI output
• Added centralized embedding types and introduced a base embedding client
• Introduced generic clients for ChromaDB and Qdrant
• Added support for crewai config reset to clear tokens
• Enabled crewai_trigger_payload auto-injection
• Simplified RAG client initialization and introduced RAG configuration system
• Added Qdrant RAG provider support
• Improved tracing with better event data
• Added support to remove Auth0 and email entry on crewai login

​

Documentation & Guides

• Added documentation for automation triggers
• Fixed API Reference OpenAPI sources and redirects
• Added hybrid search alpha parameter to the docs

​

Cleanup & Deprecations

• Added deprecation notice for Task.max_retries
• Removed Auth0 dependency from login flow

​

v0.165.1

​

Core Improvements & Fixes

• Fixed compatibility in XMLSearchTool by converting config values to strings for configparser
• Fixed flaky Pytest test involving PytestUnraisableExceptionWarning
• Mocked telemetry in test suite for more stable CI runs
• Moved Chroma lockfile handling to db_storage_path
• Ignored deprecation warnings from chromadb
• Pinned OpenAI version <1.100.0 due to ResponseTextConfigParam import issue

​

New Features & Enhancements

• Included exchanged agent messages into ExternalMemory metadata
• Automatically injected crewai_trigger_payload
• Renamed internal flag inject_trigger_input to allow_crewai_trigger_context
• Continued tracing improvements and ephemeral tracing logic
• Consolidated tracing logic conditions
• Added support for agent_id-linked memory entries in Mem0

​

Documentation & Guides

• Added example to Tool Repository docs
• Updated Mem0 documentation for Short-Term and Entity Memory integration
• Revised Korean translations and improved sentence structures

​

Cleanup & Chores

• Removed deprecated AgentOps integration

​

v0.165.0

​

Core Improvements & Fixes

• Fixed compatibility in XMLSearchTool by converting config values to strings for configparser
• Fixed flaky Pytest test involving PytestUnraisableExceptionWarning
• Mocked telemetry in test suite for more stable CI runs
• Moved Chroma lockfile handling to db_storage_path
• Ignored deprecation warnings from chromadb
• Pinned OpenAI version <1.100.0 due to ResponseTextConfigParam import issue

​

New Features & Enhancements

• Included exchanged agent messages into ExternalMemory metadata
• Automatically injected crewai_trigger_payload
• Renamed internal flag inject_trigger_input to allow_crewai_trigger_context
• Continued tracing improvements and ephemeral tracing logic
• Consolidated tracing logic conditions
• Added support for agent_id-linked memory entries in Mem0

​

Documentation & Guides

• Added example to Tool Repository docs
• Updated Mem0 documentation for Short-Term and Entity Memory integration
• Revised Korean translations and improved sentence structures

​

Cleanup & Chores

• Removed deprecated AgentOps integration

​

v0.159.0

​

Core Improvements & Fixes

• Improved LLM message formatting performance for better runtime efficiency
• Fixed use of incorrect endpoint in enterprise configuration auth/parameters
• Commented out listener resumability check for stability during partial flow resumption

​

New Features & Enhancements

• Added enterprise configure command to CLI for streamlined enterprise setup
• Introduced partial flow resumability support

​

Documentation & Guides

• Added documentation for new tools
• Added Korean translations
• Updated documentation with TrueFoundry integration details
• Added RBAC documentation and general cleanup
• Fixed API reference and revamped examples/cookbooks across EN, PT-BR, and KO

​

v0.157.0

​

v0.157.0 What’s Changed

​

Core Improvements & Fixes

• Enabled word wrapping for long input tool
• Allowed persisting Flow state with BaseModel entries
• Optimized string operations using partition() for performance
• Dropped support for deprecated User Memory system
• Bumped LiteLLM version to 1.74.9
• Fixed CLI to show missing modules more clearly during import
• Supported device authorization with Okta

​

New Features & Enhancements

• Added crewai config CLI command group with tests
• Added default value support for crew.name
• Introduced initial tracing capabilities
• Added support for LangDB integration
• Added support for CLI configuration documentation

​

Documentation & Guides

• Updated MCP documentation with connect_timeout attribute
• Added LangDB integration documentation
• Added CLI config documentation
• General feature doc updates and cleanup

​

v0.152.0

​

Core Improvements & Fixes

• Removed crewai signup references and replaced them with crewai login
• Fixed support for adding memories to Mem0 using agent_id
• Changed the default value in Mem0 configuration
• Updated import error to show missing module files clearly
• Added timezone support to event timestamps

​

New Features & Enhancements

• Enhanced Flow class to support custom flow names
• Refactored RAG components into a dedicated top-level module

​

Documentation & Guides

• Fixed incorrect model naming in Google Vertex AI documentation

​

v0.150.0

​

Core Improvements & Fixes

• Used file lock around Chroma client initialization
• Removed workaround related to SQLite without FTS5
• Dropped unsupported stop parameter for LLM models automatically
• Fixed save method and updated related test cases
• Fixed message handling for Ollama models when last message is from assistant
• Removed duplicate print on LLM call error
• Added deprecation notice to UserMemory
• Upgraded LiteLLM to version 1.74.3

​

New Features & Enhancements

• Added support for ad-hoc tool calling via internal LLM class
• Updated Mem0 Storage from v1.1 to v2

​

Documentation & Guides

• Fixed neatlogs documentation
• Added Tavily Search & Extractor tools to the Search-Research suite
• Added documentation for SerperScrapeWebsiteTool and reorganized Serper section
• General documentation updates and improvements

​

crewai-tools v0.58.0

​

New Tools / Enhancements

• SerperScrapeWebsiteTool: Added a tool for extracting clean content from URLs
• Bedrock AgentCore: Integrated browser and code interpreter toolkits for Bedrock agents
• Stagehand Update: Refactored and updated Stagehand integration

​

Fixes & Cleanup

• FTS5 Support: Enabled SQLite FTS5 for improved text search in test workflows
• Test Speedups: Parallelized GitHub Actions test suite for faster CI runs
• Cleanup: Removed SQLite workaround due to FTS5 support being available
  MongoDBVectorSearchTool: Fixed serialization and schema handling

​

v0.148.0

​

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

​

v0.141.0

​

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

​

v0.140.0

​

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

​

v0.134.0

​

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

​

v0.130.0

​

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

​

v0.126.0

​

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

​

v0.121.1

​

v0.121.0

​

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

​

v0.120.1

​

Whats New

• Fixes Interpolation with hyphens

​

v0.120.0

​

Core Improvements & Fixes

​

New Features & Enhancements

​

Documentation & Guides

​

v0.119.0

​

Core Improvements & Fixes

• Improved test reliability by enhancing pytest handling for flaky tests
• Fixed memory reset crash when embedding dimensions mismatch
• Enabled parent flow identification for Crew and LiteAgent
• Prevented telemetry-related crashes when unavailable
• Upgraded LiteLLM version for better compatibility
• Fixed llama converter tests by removing skip_external_api

​

New Features & Enhancements

• Introduced knowledge retrieval prompt re-writting in Agent for improved tracking and debugging
• Made LLM setup and quickstart guides model-agnostic

​

Documentation & Guides

• Added advanced configuration docs for the RAG tool
• Updated Windows troubleshooting guide
• Refined documentation examples for better clarity
• Fixed typos across docs and config files

​

v0.118.0

​

Core Improvements & Fixes

• Fixed issues with missing prompt or system templates.
• Removed global logging configuration to avoid unintended overrides.
• Renamed TaskGuardrail to LLMGuardrail for improved clarity.
• Downgraded litellm to version 1.167.1 for compatibility.
• Added missing init.py files to ensure proper module initialization.

​

New Features & Enhancements

• Added support for no-code Guardrail creation to simplify AI behavior controls.

​

Documentation & Guides

• Removed CrewStructuredTool from public documentation to reflect internal usage.
• Updated enterprise documentation and YouTube embed for improved onboarding experience.

​

v0.117.1

• build: upgrade crewai-tools
• upgrade liteLLM to latest version
• Fix Mem0 OSS

​

v0.117.0

​

What’s Changed

​

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.

​

v0.114.0

​

What’s Changed

​

New Features & Enhancements

• Agents as an atomic unit. (Agent(...).kickoff())
• Support to 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

​

v0.108.0

​

Features

• Converted tabs to spaces in crew.py template in PR #2190
• Enhanced LLM Streaming Response Handling and Event System in PR #2266
• Included model_name in PR #2310
• Enhanced Event Listener with rich visualization and improved logging in PR #2321
• Added fingerprints in PR #2332

​

Bug Fixes

• Fixed Mistral issues in PR #2308
• Fixed a bug in documentation in PR #2370
• Fixed type check error in fingerprint property in PR #2369

​

Documentation Updates

• Improved tool documentation in PR #2259
• Updated installation guide for the uv tool package in PR #2196
• Added instructions for upgrading crewAI with the uv tool in PR #2363
• Added documentation for ApifyActorsTool in PR #2254

​

v0.105.0

• 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.

• 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.

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

​

v0.102.0

​

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.

​

Maintenance & Miscellaneous

• Refined Google Docs integrations and task handling for the current year.

​

v0.100.0

• Feat: Add Composio docs
• Feat: Add SageMaker as a LLM provider
• Fix: Overall LLM connection issues
• Fix: Using safe accessors on training
• Fix: Add version check to crew_chat.py
• Docs: New docs for crewai chat
• Docs: Improve formatting and clarity in CLI and Composio Tool docs

​

v0.98.0

• Feat: Conversation crew v1
• Feat: Add unique ID to flow states
• Feat: Add @persist decorator with FlowPersistence interface
• Integration: Add SambaNova integration
• Integration: Add NVIDIA NIM provider in cli
• Integration: Introducing VoyageAI
• Chore: Update date to current year in template
• Fix: Fix API Key Behavior and Entity Handling in Mem0 Integration
• Fix: Fixed core invoke loop logic and relevant tests
• Fix: Make tool inputs actual objects and not strings
• Fix: Add important missing parts to creating tools
• Fix: Drop litellm version to prevent windows issue
• Fix: Before kickoff if inputs are none
• Fix: TYPOS
• Fix: Nested pydantic model issue
• Fix: Docling issues
• Fix: union issue
• Docs updates

​

v0.95.0

• Feat: Adding Multimodal Abilities to Crew
• Feat: Programatic Guardrails
• Feat: HITL multiple rounds
• Feat: Gemini 2.0 Support
• Feat: CrewAI Flows Improvements
• Feat: Add Workflow Permissions
• Feat: Add support for langfuse with litellm
• Feat: Portkey Integration with CrewAI
• Feat: Add interpolate_only method and improve error handling
• Feat: Docling Support
• Feat: Weviate Support
• Fix: output_file not respecting system path
• Fix disk I/O error when resetting short-term memory.
• Fix: CrewJSONEncoder now accepts enums
• Fix: Python max version
• Fix: Interpolation for output_file in Task
• Fix: Handle coworker role name case/whitespace properly
• Fix: Add tiktoken as explicit dependency and document Rust requirement
• Fix: Include agent knowledge in planning process
• Fix: Change storage initialization to None for KnowledgeStorage
• Fix: Fix optional storage checks
• Fix: include event emitter in flows
• Fix: Docstring, Error Handling, and Type Hints Improvements
• Fix: Suppressed userWarnings from litellm pydantic issues

​

v0.86.0

• remove all references to pipeline and pipeline router
• docs: Add Nvidia NIM as provider in Custom LLM
• add knowledge demo + improve knowledge docs
• Brandon/cre 509 hitl multiple rounds of followup
• New docs about yaml crew with decorators. Simplify template crew

​

v0.85.0

• Added knowledge to agent level
• Feat/remove langchain
• Improve typed task outputs
• Log in to Tool Repository on crewai login
• Fixes issues with result as answer not properly exiting LLM loop
• fix: missing key name when running with ollama provider
• fix spelling issue found
• Update readme for running mypy
• Add knowledge to mint.json
• Update Github actions
• Docs Update Agents docs to include two approaches for creating an agent
• Documentation Improvements: LLM Configuration and Usage

​

v0.83.0

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

​

v0.80.0

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

​

v0.79.4

​

v0.79.0

• Add inputs to flows
• Enhance log storage to support more data types
• Add support to IBM memory
• Add Watson as an option in CLI
• Add security.md file
• Replace .netrc with uv environment variables
• Move BaseTool to main package and centralize tool description generation
• Raise an error if an LLM doesnt return a response
• Fix flows to support cycles and added in test
• Update how we name crews and fix missing config
• Update docs

​

v0.76.9

• Update plot command for flow to crewai flow plot
• Add tomli so we can support 3.10
• Forward install command options to uv sync
• Improve tool text description and args
• Improve tooling and flow docs
• Update flows cli to allow you to easily add additional crews to a flow with crewai flow add-crew
• Fixed flows bug when using multiple start and listen(and_(…, …, …))

​

v0.76.2

​

v0.76.0

• fix/fixed missing API prompt + CLI docs update
• chore(readme): fixing step for ‘running tests’ in the contribution
• support unsafe code execution. add in docker install and running checks
• Fix memory imports for embedding functions by

​

v0.75.1

​

v0.75.0

• Fixing test post training
• Simplify flows
• Adapt crewai tool install <tool>
• Ensure original embedding config works
• Fix bugs
• Update docs - Including adding Cerebras LLM example configuration to LLM docs
• Drop unnecessary tests

​

v0.74.2

• feat: add poetry.lock to uv migration
• fix tool calling issue

​

v0.74.0

• UV migration
• Adapt Tools CLI to UV
• Add warning from Poetry -> UV
• CLI to allow for model selection & submitting API keys
• New Memory Base
• Fix Linting and Warnings
• Update Docs
• Bug fixesh

​

v0.70.1

• New Flow feature
• Flow visualizer
• Create crewai create flow command
• Create crewai tool create <tool> command
• Add Git validations for publishing tools
• fix: JSON encoding date objects
• New Docs
• Update README
• Bug fixes

​

v0.65.2

• Adding experimental Flows feature
• Fixing order of tasks bug
• Updating templates

​

v0.64.0

• Ordering tasks properly
• Fixing summarization logic
• Fixing stop words logic
• Increases default max iterations to 20
• Fix crew’s key after input interpolation
• Fixing Training Feature
• Adding initial tools API
• TYPOS
• Updating Docs

​

v0.63.6

• Updating projects templates

​

v0.63.5

• Bringing support to o1 family back, and any model that don’t support stop words
• Updating dependencies
• Updating logs
• Updating docs

​

v0.63.2

• Adding OPENAI_BASE_URL as fallback
• Adding proper LLM import
• Updating docs

​

v0.63.1

• Small bug fix for support future CrewAI deploy

​

v0.63.0

• New LLM class to interact with LLMs (leveraging LiteLLM)
• Adding support to custom memory interfaces
• Bringing GPT-4o-mini as the default model
• Updates Docs
• Updating dependencies
• Bug fixes
  • Remove redundant task creation in kickoff_for_each_async

​

v0.61.0

• Updating dependencies
• Printing max rpm message in different color
• Updating all cassettes for tests
• Always ending on a user message - to better support certain models like bedrock ones
• Overall small bug fixes

​

v0.60.0

• Removing LangChain and Rebuilding Executor
• Get all of out tests back to green
• Adds the ability to not use system prompt use_system_prompt on the Agent
• Adds the ability to not use stop words (to support o1 models) use_stop_words on the Agent
• Sliding context window gets renamed to respect_context_window, and enable by default
• Delegation is now disabled by default
• Inner prompts were slightly changed as well
• Overall reliability and quality of results
• New support for:
  • Number of max requests per minute
  • A maximum number of iterations before giving a final answer
  • Proper take advantage of system prompts
  • Token calculation flow
  • New logging of the crew and agent execution

​

v0.55.2

• Adding ability for auto complete
• Add name and expected_output to TaskOutput
• New crewai install CLI
• New crewai deploy CLI
• Cleaning up of Pipeline feature
• Updated docs
• Dev experience improvements like bandit CI pipeline
• Fix bugs:
  • Ability to use planning_llm
  • Fix YAML based projects
  • Fix Azure support
  • Add support to Python 3.10
  • Moving away from Pydantic v1

​

v0.51.0

• crewAI Testing / Evaluation - https://docs.crewai.com/core-concepts/Testing/
• Adding new sliding context window
• Allowing all attributes on YAML - https://docs.crewai.com/getting-started/Start-a-New-CrewAI-Project-Template-Method/#customizing-your-project
• Adding initial Pipeline Structure - https://docs.crewai.com/core-concepts/Pipeline/
• Ability to set LLM for planning step - https://docs.crewai.com/core-concepts/Planning/
• New crew run command - https://docs.crewai.com/getting-started/Start-a-New-CrewAI-Project-Template-Method/#running-your-project
• Saving file now dumps dict into JSON - https://docs.crewai.com/core-concepts/Tasks/#creating-directories-when-saving-files
• Using verbose settings for tool outputs
• Added new Github Templates
• New Vision tool - https://docs.crewai.com/tools/VisionTool/
• New DALL-E Tool - https://docs.crewai.com/tools/DALL-ETool/
• New MySQL tool - https://docs.crewai.com/tools/MySQLTool/
• New NL2SQL Tool - https://docs.crewai.com/tools/NL2SQLTool.md
• Bug Fixes:
  • Bug with planning feature output
  • Async tasks for hierarchical process
  • Better pydantic output for non OAI models
  • JSON truncation issues
  • Fix logging types
  • Only import AgentOps if the Env Key is set
  • Sanitize agent roles to ensure valid directory names (Windows)
  • Tools name shouldn’t contain space for OpenAI
  • A bunch of minor issues

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v0.41.1

• Fix bug with planning feature

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v0.41.0

• [Breaking Change] Type Safe output
  • All crews and tasks now return a proper object TaskOuput and CrewOutput
• [Feature] New planning feature for crews (plan before act)
  • by adding planning=True to the Crew instance
• [Feature] Introduced Replay Feature
  • New CLI that allow you to list the tasks from last run and replay from a specific one
• [Feature] Ability to reset memory
  • You can clean your crew memory before running it again
• [Feature] Add retry feature for LLM calls
  • You can retry llm calls and not stop the crew execution
• [Feature] Added ability to customize converter
• [Tool] Enhanced tools with type hinting and new attributes
• [Tool] Added MultiON Tool
• [Tool] Fixed filecrawl tools
• [Tool] Fixed bug in Scraping tool
• [Tools] Bumped crewAI-tools dependency to version
• [Bugs] General bug fixes and improvements
• [Bugs] Telemetry fixes
• [Bugs] Spell check corrections
• [Docs] Updated documentation

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v0.36.0

• Bug fix
• Updating Docs
• Updating native prompts
• Fixing TYPOs on the prompts
• Adding AgentOps native support
• Adding Firecrawl Tools
• Adding new ability to return a tool results as an agent result
• Improving coding Interpreter tool
• Adding new option to create your own corveter class (docs pending)

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v0.35.8

• fixing embechain dependency issue

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v0.35.7

• New @composiohq integration is out
• Documentation update
• Custom GPT Updated
• Adjusting manager verbosity level
• Bug fixes

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v0.35.5

• Fix embedchain dependency

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v0.35.4

• Updating crewai create CLI to use the new version

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v0.35.3

• Code Execution Bug fixed
• Updating overall docs
• Bumping version of crewai-tools
• Bumping versions of many dependencies
• Overall bugfixes

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v0.35.0

• Your agents can now execute code
• Bring Any 3rd-party agent, LlamaIndex, LangChain and Autogen agents can all be part of your crew now!
• Train you crew before you execute it and get consistent results! New CLI crewai train -n X
• Bug fixes and docs updates (still missing some new docs updates coming soon)

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v0.32.2

• Updating crewai create CLI to use the new version
• Fixing delegation agent matching

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v0.32.0

• New kickoff_for_each, kickoff_async and kickoff_for_each_async methods for better control over the kickoff process
• Adding support for all LlamaIndex hub integrations
• Adding usage_metrics to full output or a crew
• Adding support to multiple crews on the new YAML format
• Updating dependencies
• Fixed Bugs and TYPOs
• Documentation updated
• Added search in docs
• Making gpt-4o the default model
• Adding new docs for LangTrace, Browserbase and Exa Search
• Adding timestamp to logging

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v0.30.11

• Updating project generation template

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v0.30.8

• Updating dependencies
• Small bug fixes on crewAI project structure
• Removing custom YAML parser for now

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v0.30.5

• Making agent delegation more versatile for smaller models

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v0.30.4

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v0.28.8

• updating version used on crewai CLI

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v0.28.7

• Bug fixes
• Updating crewAI tool version with bug fixes

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v0.28.5

• Major Long term memory interpolation issue
• Updating tools package dependency with fixes
• Removing unnecessary certificate

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v0.28.2

• Major long term memory fix

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v0.28.1

• Updating crewai-tools to 0.1.15

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v0.28.0

• Not overriding LLM callbacks
• Adding max_execution_time support
• Adding specific memory docs
• Moving tool usage logging color to purple from yellow
• Updating Docs

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v0.27.0

• 🧠 Memory (shared crew memory) - To enable it just add memory=True to your crew, it will work transparently and make outcomes better and more reliable, it’s disable by default for now
• 🤚🏼 Native Human Input Support: docs
• 🌐 Universal RAG Tools Support: Any models, beyond just OpenAI. Example
• 🔍 Enhanced Cache Control: Meet the ingenious cache_function attribute: docs
• 🔁 Updated crewai-tools Dependency: Always in sync with the latest and greatest.
• ⛓️ Cross Agent Delegation: Smoother cooperation between agents.
• 💠 Inner Prompt Improvements: A finer conversational flow.
• 📝 Improving tool usage with better parsing
• 🔒 Security improvements and updating dependencies
• 📄 Documentation improved
• 🐛 Bug fixes

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v0.22.5

• Other minor import issues on the new templates

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v0.22.4

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v0.22.2

• Fixing bug on the new cli template
• Guaranteeing tasks order on new cli template

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v0.22.0

• Adding initial CLI crewai create command
• Adding ability to agents and tasks to be defined using dictionaries
• Adding more clear agent logging
• Fixing bug Exceed maximum recursion depth bug
• Fixing docs
• Updating README

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v0.19.0

• Efficiency in tool usage +1023.21%
• Mean tools used +276%
• Tool errors slashed by 67%, more reliable than ever.
• Delegation capabilities enhanced
• Ability to fallback to function calling by setting function_calling_llm to Agent or Crew
• Ability to get crew execution metrics after kickoff with crew.usage_metrics
• Adding ability for inputs being passed in kickoff now crew.kickoff(inputs: {'key': 'value})
• Updating Docs

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v0.16.3

• Fixing overall bugs
• Making sure code is backwards compatible

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v0.16.0

• Removing lingering crewai_tools dependency
• Adding initial support for inputs interpolation (missing docs)
• Adding ability to track tools usage, tools error, formatting errors, tokens usage
• Updating README

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v0.14.4

• Updating timeouts
• Updating docs
• Removing crewai_tools as a mandatory
• Making agents memory-less by default for token count reduction (breaking change for people counting on this previously)

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v0.14.3

• Fixing broken docs link
• Adding support for agents without tools
• Avoid empty task outputs

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v0.14.0

• Support to export json and pydantic from opensource models

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v0.14.0rc

• Adding support to crewai-tools
• Adding support to format tasks output as Pydantic Objects Or JSON
• Adding support to save tasks ouput to a file
• Improved reliability for inter agent delegation
• Revamp tools usage logic to proper use function calling
• Updating internal prompts
• Supporting tools with no arguments
• Bug fixes

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v0.11.2

• Adding further error logging so users understand what is happening if a tool fails

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v0.11.1

• It fixes a bug on the tool usage logic that was early caching the result even if there was an error on the usage, preventing it from using the tool again.
• It will also print any error message in red allowing the user to understand what was the problem with the tool.

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v0.11.0

• Ability to set function_calling_llm on both the entire crew and individual agents
• Some early attempts on cost reduction
• Improving function calling for tools
• Updates docs

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v0.10.0

• Ability to get full_ouput from crew kickoff with all tasks outputs
• Ability to set step_callback function for both Agents and Crews so you can get all intermediate steps
• Remembering Agent of the expected format after certain number of tool usages.
• New tool usage internals now using json, unlocking tools with multiple arguments
• Refactoring overall delegation logic, now way more reliable
• Fixed max_inter bug now properly forcing llm to answer as it gets to that
• Rebuilt caching structure, making sure multiple agents can use the same cache
• Refactoring Task repeated usage prevention logic
• Removing now unnecessary CrewAgentOutputParser
• Opt-in to share complete crew related data with the crewAI team
• Overall Docs update

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v0.5.5

• Overall doc + readme improvements
• Fixing RPM controller being set unnecessarily
• Adding early stage anonymous telemetry for lib improvement

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v0.5.3

• quick Fix for hierarchical manager

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v0.5.2

• Adding manager_llm for hierarchical process
• Improving max_inter and max_rpm logic
• Updating README and Docs

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v0.5.0

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Features

• Adding Task Callbacks.
• Adding support for Hierarchical process.
• Adding ability to references specific tasks in another task.
• Adding ability to parallel task execution.

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Improvements

• Revamping Max Iterations and Max Requests per Minute.
• Developer experience improvements, docstrings and such.
• Small improvements and TYPOs.
• Fix static typing errors.
• Updated README and Docs.

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v0.1.32

• Moving to LangChain 0.1.0
• Improving Prompts
• Adding ability to limit maximum number of iterations for an agent
• Adding ability to Request Per Minute throttling for both Agents and Crews
• Adding initial support for translations
• Adding Greek translation
• Improve code readability
• Starting new documentation with mkdocs

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v0.1.23

• Many Reliability improvements
• Prompt changes
• Initial changes for supporting multiple languages
• Fixing bug on task repeated execution
• Better execution error handling
• Updating READMe

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v0.1.14

• Adding tool caching a loop execution prevention. (@joaomdmoura)
• Adding more guidelines for Agent delegation. (@joaomdmoura)
• Updating to use new openai lib version. (@joaomdmoura)
• Adding verbose levels to the logger. (@joaomdmoura)
• Removing WIP code. (@joaomdmoura)
• A lot of developer quality of life improvements (Special thanks to @greysonlalonde).
• Updating to pydantic v2 (Special thanks to @greysonlalonde as well).

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v0.1.2

• Adding ability to use other LLMs, not OpenAI

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v0.1.1

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CrewAI v0.1.1 Release Notes

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What’s New

• Crew Verbose Mode: Now allowing you to inspect a the tasks are being executed.
• README and Docs Updates: A series of minor updates on the docs

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v0.1.0

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CrewAI v0.1.0 Release Notes

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What’s New

• Initial Launch: CrewAI is now officially in the wild! This foundational release lays the groundwork for AI agents to work in tandem, each with its own specialized role and objectives.
• Role-Based Agent Design: Define and customize agents with specific roles, goals, and the tools they need to succeed.
• Inter-Agent Delegation: Agents are now equipped to autonomously delegate tasks, enabling dynamic distribution of workload among the team.
• Task Management: Create and assign tasks dynamically with the flexibility to specify the tools needed for each task.
• Sequential Processes: Set up your agents to tackle tasks one after the other, ensuring organized and predictable workflows.
• Documentation: Start exploring CrewAI with our initial documentation that guides you through the setup and use of the framework.

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Enhancements

• Detailed API documentation for the Agent, Task, Crew, and Process classes.
• Examples and tutorials to help you build your first CrewAI application.
• Basic setup for collaborative and delegation mechanisms among agents.

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Known Issues

• As this is the first release, there may be undiscovered bugs and areas for optimization. We encourage the community to report any issues found during use.

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Upcoming Features

• Advanced Process Management: In future releases, we will introduce more complex processes for task management including consensual and hierarchical workflows.