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ca810076e8
* Setting up * Readme * Add redis tests path to all-tests * First pass integration * Keep provider convention * First pass integration * add redis integration tests * update README.md * Add basic sample for redis integration * Add partitioning, add partition-aware tests, improve sample script * Fix code quality check * Try to resolve pytest check * Try to identify if pytest is the cause of failed checks * Re-enable tests * Rename redis test file * Removing some tests to narrow down issue * Revert, no difference * Delete temp files * Starting refactor of RedisProvider * Build dynamic schema builder, still need to do dynamic embedding model config * Add scope control * Complete first pass functionality with OpenAI + HF vectors -> Tests, Samples, Demo to follow * Fix code quality * attempt to identify rootcause of failed test * attempt to identify rootcause of failed test * Attempt to resolve code quality fail * Update pyproject.toml for foundry to pin azure-ai-projects == 1.1.0b3,azure-ai-agents == 1.2.0b3 * Add tests for redisprovider * Remove invalid tests * Add API key handling for openai vectorizer * Update uv.locl * Use master uv.lock * Begin sample file, add lazy index creation, fix faulty override * Index drop and reinit depends on drop_redis_index not overwrite * Add samples, threading included, escaped queries, verify threading works, sample README.md * Refactor filters * Opinionated vars * Allow filter expression combination * Try inline stubs for mypy * Address mypy errors * Better docstrings, tweaks for feedback * Tweak example 3 in redis_threads.py sample * adjust confusing name * Enrich docstrings * Add descriptions and comments to samples, externalize vectorizer choice, remove nltk and sentencetransformers dependnecy * Add descriptions and comments to samples, externalize vectorizer choice, remove nltk and sentencetransformers dependnecy * Incorporate initial feedback from dmytrostruk * Fix uv.lock * Attempt to resolve conflict * Use remote .tomls * Sanity check * fix tests * Remove hardcoded API key from samples * Fix incorrect env var * Make add and redis_search private * Fix tests relying on private funcs * Expand tests * Explainer comments to each test * Add a 'get_conversation_history' function to RedisProvider - This just returns messages in sequential order. Added 'created_at_*' timestamps to facilitate sequential recovery. function has to be manually invoked by user * Add agent-framework-redis to python/pyproject.toml * Remove get_conversation_history * improve redis context provider with pydantic techniques and safe index handling patterns * add RedisChatMessageStore * remove integration test :( * fix mypy error * Remove unused params * Redo schema validation to be order-invariant, handle attrs (previously throwing errors due to strict ==) * Expand explanation * Add ChatMessageStore example * Fix comments in redis_conversation.py * Resolving uv.lock conflict, update to match main * Fix test in redis provider * Apply suggestion from @ekzhu * Update python/packages/main/pyproject.toml --------- Co-authored-by: Tyler Hutcherson <tyler.hutcherson@redis.com> Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
ca810076e8
·
2025-09-23 00:36:27 +00:00
379 Commits
Microsoft Agent Framework
Welcome to the Private Preview of Agent Framework!
You're getting early access to Microsoft's comprehensive multi-language framework for building, orchestrating, and deploying AI agents with support for both .NET and Python implementations. This framework provides everything from simple chat agents to complex multi-agent workflows with graph-based orchestration.
📋 Important Setup Information
Package Availability: Public PyPI and NuGet packages are not yet available. You have two options:
Option 1: Run samples directly from this repository (no package installation needed)
- Clone this repository
- For .NET: Run samples with
dotnet runfrom any sample directory (e.g.,dotnet/samples/GettingStarted/Agents/Agent_Step01_Running) - For Python: Run samples from any sample directory (e.g.,
python/samples/getting_started/minimal_sample.py) after setting up the local dev environment following this guide.
Option 2: Install packages in your own project
- .NET Getting Started Guide - Instructions for using nightly packages
- Python Package Installation Guide - Install packages directly from GitHub
Stay Updated: This is an active project - sync your local repository regularly to get the latest updates.
💬 We want your feedback!
- For bugs, please file a GitHub issue.
- For feedback and suggestions for the team, please fill out this survey.
✨ Highlights
- Flexible Agent Framework: build, orchestrate, and deploy AI agents and workflows
- Multi-Agent Orchestration: group chat, sequential, concurrent, and handoff patterns
- Graph-based Workflows: connect agents and deterministic functions using data flows with streaming, checkpointing, time-travel, and Human-in-the-loop.
- Plugin Ecosystem: extend with native functions, OpenAPI, Model Context Protocol (MCP), and more
- LLM Support: OpenAI, Azure OpenAI, Azure AI Foundry, and more
- Runtime Support: in-process and distributed agent execution
- Multimodal: text, vision, and function calling
- Cross-Platform: .NET and Python implementations
Below are the basics for each language implementation. For more details on python see here and for .NET see here.
More Examples & Samples
Python
- Getting Started with Agents: basic agent creation and tool usage
- Chat Client Examples: direct chat client usage patterns
- Azure Integration: Azure OpenAI and AI Foundry integration
- Getting Started with Workflows: basic workflow creation and integration with agents
.NET
- Getting Started with Agents: basic agent creation and tool usage
- Agent Provider Samples: samples showing different agent providers
- Orchestration Samples: advanced multi-agent patterns
Agent Framework Documentation
- Python documentation
- DotNet documentation
- Agent Framework Repository
- Design Documents
- Architectural Decision Records
- Learn docs are coming soon.