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Update documentation: Add changelog, fix formatting issues, replace mint.json with docs.json (#2400)

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Tony Kipkemboi
2025-03-20 11:44:21 -07:00
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docs/changelog.mdx Normal file
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---
title: Changelog
description: View the latest updates and changes to CrewAI
icon: timeline
---
<Update label="2024-03-17" description="v0.108.0">
**Features**
- 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`
</Update>
<Update label="2024-03-10" description="v0.105.0">
**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
</Update>
<Update label="2024-02-12" description="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
</Update>
<Update label="2024-01-28" description="v0.100.0">
**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
</Update>
<Update label="2024-01-20" description="v0.98.0">
**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
</Update>
<Update label="2024-01-04" description="v0.95.0">
**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
</Update>
<Update label="2023-12-05" description="v0.86.0">
**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
</Update>
<Update label="2023-12-04" description="v0.85.0">
**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
</Update>
<Update label="2023-11-25" description="v0.83.0">
**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
</Update>
<Update label="2023-11-13" description="v0.80.0">
**Fixes**
- Fixing Tokens callback replacement bug
- Fixing Step callback issue
- Add cached prompt tokens info on usage metrics
- Fix crew_train_success test
</Update>

4
docs/concepts/llms.mdx
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@@ -746,5 +746,5 @@ Learn how to get the most out of your LLM configuration:
<Tip> <Tip>
Use larger context models for extensive tasks Use larger context models for extensive tasks
</Tip> </Tip>
</Tab>
``` </Tabs>

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