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--------- Co-authored-by: Eric Zhu <[email protected]>
## Why are these changes needed? - To add support for code generation, execution and reflection to `CodeExecutorAgent`. ## Related issue number Closes microsoft#5824 ## Checks - [x] I've included any doc changes needed for <https://microsoft.github.io/autogen/>. See <https://github.com/microsoft/autogen/blob/main/CONTRIBUTING.md> to build and test documentation locally. - [x] I've added tests (if relevant) corresponding to the changes introduced in this PR. - [x] I've made sure all auto checks have passed. --------- Signed-off-by: Abhijeetsingh Meena <[email protected]> Co-authored-by: Eric Zhu <[email protected]>
minor grammatical fix in docs Co-authored-by: Victor Dibia <[email protected]> Co-authored-by: Eric Zhu <[email protected]>
## Description This PR pins opentelemetry-proto version to >=1.28.0, which uses protobuf > 5.0, < 6.0 to generate protobuf files. ## Related issue number Closes microsoft#6304
Add missing C# and F# kernels. These are needed to create a default kernel else it will return an empty kernel.
Added support for structured message component using the Json to Pydantic utility functions. Note: also adding the ability to use a format string for structured messages. Co-authored-by: Eric Zhu <[email protected]>
…crosoft#6303) Add an option emit_team_events to BaseGroupChat to emit events from group chat manager through run_stream. SpeakerSelectedEvent from group chat speaker selection. Closes microsoft#6161 Co-authored-by: Eric Zhu <[email protected]>
Resolves microsoft#6232, microsoft#6198 This PR introduces an optional parameter `session` to `mcp_server_tools` to support reuse of the same session. ```python import asyncio from autogen_agentchat.agents import AssistantAgent from autogen_agentchat.conditions import TextMentionTermination from autogen_agentchat.teams import RoundRobinGroupChat from autogen_agentchat.ui import Console from autogen_ext.models.openai import OpenAIChatCompletionClient from autogen_ext.tools.mcp import StdioServerParams, create_mcp_server_session, mcp_server_tools async def main() -> None: model_client = OpenAIChatCompletionClient(model="gpt-4o", parallel_tool_calls=False) # type: ignore params = StdioServerParams( command="npx", args=["@playwright/mcp@latest"], read_timeout_seconds=60, ) async with create_mcp_server_session(params) as session: await session.initialize() tools = await mcp_server_tools(server_params=params, session=session) print(f"Tools: {[tool.name for tool in tools]}") agent = AssistantAgent( name="Assistant", model_client=model_client, tools=tools, # type: ignore ) termination = TextMentionTermination("TERMINATE") team = RoundRobinGroupChat([agent], termination_condition=termination) await Console( team.run_stream( task="Go to https://ekzhu.com/, visit the first link in the page, then tell me about the linked page." ) ) asyncio.run(main()) ``` Based on discussion in this thread: microsoft#6284, we will consider serialization and deserialization of MCP server tools when used in this manner in a separate issue. This PR also replaces the `json_schema_to_pydantic` dependency with built-in utils.
## Why are these changes needed? This PR fixes a bug where the underlying azure `SearchClient` was being closed prematurely due to use of `async with client` : inside the tool's run method. this caused the users to encounter errors "HTTP transport has already been closed" ## Related issue number Closes microsoft#6308 " ## Checks - [ ] I've included any doc changes needed for <https://microsoft.github.io/autogen/>. See <https://github.com/microsoft/autogen/blob/main/CONTRIBUTING.md> to build and test documentation locally. - [ ] I've added tests (if relevant) corresponding to the changes introduced in this PR. - [X] I've made sure all auto checks have passed. --------- Co-authored-by: Eric Zhu <[email protected]>
) Resolves microsoft#6295 Ensure the thought content gets included in handoff message conetxt, when the only tool call was handoff tool call.
--------- Co-authored-by: Eric Zhu <[email protected]>
…oft#6231) This PR introduces a safer and more controllable execution environment for LLM code execution in version 0.4 by enabling the use of Jupyter inside a container. This enhancement addresses security concerns and provides a more robust execution context. In particular, it allows: Isolation of code execution via containerized Jupyter environments. Persistent memory of variables and their values throughout the conversation. Memory of code execution results to support more advanced reasoning and follow-up tasks. These improvements help build a more interactive and stateful LLM-agent programming experience, especially for iterative code generation and debugging scenarios. ## Related issue number Open microsoft#6153 ## Checks - [x] I've added tests (if relevant) corresponding to the changes introduced in this PR. - [x] I've made sure all auto checks have passed. --------- Co-authored-by: Eric Zhu <[email protected]>
## Why are these changes needed? `SocietyOfMindAgent` has multiple system message, however many client/model does not support it. ## Related issue number Related microsoft#6290 --------- Co-authored-by: Eric Zhu <[email protected]>
This PR adds an example of `parallel-agents` that runs multiple instances of Magentic-One in parallel, with support for early termination and final answer aggregation. --------- Co-authored-by: Eric Zhu <[email protected]>
peterj
approved these changes
Apr 20, 2025
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