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Changelog
A programming framework for agentic AI
Last updated 3 days ago
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Stable Diffusion web UI
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
A feature-rich command-line audio/video downloader
Fixes
</think> tags from empty reasoning_content in streaming removedfinish_reason lo...OpenAIAgent supports all built-in toolsTeam as a participant in a TeamRedisMemoryMore helps from @copilot-swe-agent for this release.
GraphFlowNow it behaves the same way as RoundRobinGroupChat, SelectorGroupChat and others after termination condition hits -- it retains its execution state and can be resumed with a new task or empty task. Only when the graph finishes execution i.e., no more next available agent to choose from, t...
This release introduces streaming tools and updates AgentTool and TeamTool to support run_json_stream. The new interface exposes the inner events of tools when calling run_stream of agents and teams. AssistantAgent is also updated to use run_json_stream when the tool supports streaming. So, when using AgentTool or TeamTool with `AssistantAgen...
ToolCallSummaryMessage by @ekzhu in https://github.com/microsoft/autogen/pull/6626Full Changelog: https://github.com/mi...
BaseGroupChatManager.select_speaker and support for concurrent agents in GraphFlowWe made a type hint change to the select_speaker method of BaseGroupChatManager to allow for a list of agent names as a return value. This makes it possible to support concurrent agents in GraphFlow, such as in a fan-out-fan-in pattern.
# Original signature:...
AzureAISearchTool ImprovementsThe Azure AI Search Tool API now features unified methods:
create_full_text_search() (supporting "simple", "full", and "semantic" query types)create_vector_search() andcreate_hybrid_search()
We also added support for client-side embeddings, while defaults to service embeddings when client embeddings aren't provided....