## Why are these changes needed?
Simplified the azure ai search tool and fixed bugs in the code
## Related issue number
"Closes #6430 "
## 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.
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Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
## Why are these changes needed?
FIX/mistral could not recive name field, so add model transformer for
mistral
## Related issue number
Closes#6147
## Checks
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build and test documentation locally.
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introduced in this PR.
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Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
…ized properly
## Why are these changes needed?
The exceptions thrown by MCP server tools weren't being serialized
properly - the user would see `[{}, {}, ... {}]` instead of an actual
error/exception message.
## Related issue number
Fixes#6481
## Checks
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<https://microsoft.github.io/autogen/>. See
<https://github.com/microsoft/autogen/blob/main/CONTRIBUTING.md> to
build and test documentation locally.
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introduced in this PR.
- [x] I've made sure all auto checks have passed.
---------
Signed-off-by: Peter Jausovec <peter.jausovec@solo.io>
Co-authored-by: Victor Dibia <victordibia@microsoft.com>
Co-authored-by: Victor Dibia <victor.dibia@gmail.com>
<!-- Thank you for your contribution! Please review
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pull request. -->
<!-- Please add a reviewer to the assignee section when you create a PR.
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## Why are these changes needed?
Nice to have functionality
## Related issue number
Closes#6060
## Checks
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<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.
---------
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
<!-- Thank you for your contribution! Please review
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pull request. -->
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## Why are these changes needed?
As-is: Deleting `McpWorkbench` does not close the `McpSession`.
To-be: Deleting `McpWorkbench` now properly closes the `McpSession`.
<!-- Please give a short summary of the change and the problem this
solves. -->
## Related issue number
<!-- For example: "Closes #1234" -->
## Checks
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<https://microsoft.github.io/autogen/>. See
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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.
<!-- Thank you for your contribution! Please review
https://microsoft.github.io/autogen/docs/Contribute before opening a
pull request. -->
Some fixes with the AnthropicBedrockChatCompletionClient
- Ensure `AnthropicBedrockChatCompletionClient` exported and can be
imported.
- Update the BedrockInfo keys serialization - client argument can be
string (similar to api key in this ) but exported config should be
Secret
- Replace `AnthropicBedrock` with `AsyncAnthropicBedrock` : client
should be async to work with the ag stack and the BaseAnthropicClient it
inherits from
- Improve `AnthropicBedrockChatCompletionClient` docstring to use the
correct client arguments rather than serialized dict format.
Expect
```python
from autogen_ext.models.anthropic import AnthropicBedrockChatCompletionClient, BedrockInfo
from autogen_core.models import UserMessage, ModelInfo
async def main():
anthropic_client = AnthropicBedrockChatCompletionClient(
model="anthropic.claude-3-5-sonnet-20240620-v1:0",
temperature=0.1,
model_info=ModelInfo(vision=False, function_calling=True,
json_output=False, family="unknown", structured_output=True),
bedrock_info=BedrockInfo(
aws_access_key="<aws_access_key>",
aws_secret_key="<aws_secret_key>",
aws_session_token="<aws_session_token>",
aws_region="<aws_region>",
),
)
# type: ignore
result = await anthropic_client.create([UserMessage(content="What is the capital of France?", source="user")])
print(result)
await main()
```
<!-- Please add a reviewer to the assignee section when you create a PR.
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## Why are these changes needed?
<!-- Please give a short summary of the change and the problem this
solves. -->
## Related issue number
<!-- For example: "Closes #1234" -->
Closes#6483
## 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.
- [ ] I've made sure all auto checks have passed.
---------
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
## Why are these changes needed?
This PR improves keyboard accessibility by ensuring that header
links/icons have visual feedback (underline and color change) on both
hover and keyboard focus states. Also adds smooth scaling animation.
## Related issue number
Related issue: #6090
## 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.
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Co-authored-by: peterychang <49209570+peterychang@users.noreply.github.com>
<!-- Thank you for your contribution! Please review
https://microsoft.github.io/autogen/docs/Contribute before opening a
pull request. -->
Add gpt 4o search models to list of default models
```python
"gpt-4o-mini-search-preview-2025-03-11": {
"vision": False,
"function_calling": True,
"json_output": True,
"family": ModelFamily.GPT_4O,
"structured_output": True,
"multiple_system_messages": True,
},
"gpt-4o-search-preview-2025-03-11": {
"vision": False,
"function_calling": True,
"json_output": True,
"family": ModelFamily.GPT_4O,
"structured_output": True,
"multiple_system_messages": True,
},
```
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assign them to your PR. -->
## Why are these changes needed?
<!-- Please give a short summary of the change and the problem this
solves. -->
## Related issue number
<!-- For example: "Closes #1234" -->
Closes#6491
## 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.
- [ ] I've made sure all auto checks have passed.
## Why are these changes needed?
This pull request adds new samples that integrates the Autogen Core API
with Chainlit. It closely follows the structure of the
Agentchat+Chainlit sample and provides examples for using a single agent
and multiple agents in a groupchat.
## Related issue number
Closes: #5345
---------
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
## Why are these changes needed?
This PR enhances the `SelectorGroupChat` class by introducing a new
`model_context` parameter to support more context-aware speaker
selection.
### Changes
- Added a `model_context: ChatCompletionContext | None` parameter to
`SelectorGroupChat`.
- Defaulted to `UnboundedChatCompletionContext` when None is provided
like `AssistantAgent`.
- Updated `_select_speaker` to prepend context messages from
`model_context` to the main thread history.
- Refactored history construction into a helper method
`construct_message_history`.
## Related issue number
Closes [Issue #6301](https://github.com/org/repo/issues/6301), enabling
the group chat manager to utilize `model_context` for richer, more
informed speaker selection decisions.
## 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 <abhijeet040403@gmail.com>
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
## Why are these changes needed?
Our McpWorkbench required properties however mongodb-lens's some tools
do not has it. I will fix it from when properties is None, -> {}
Our McpWorkbench now does not have stop routine with without async with
McpWorkbench(params) as workbench: and lazy init. So, I will adding def
__del__: pass just insert that, It could show error.
## Related issue number
Closes#6425
## 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.
- [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.
## Why are these changes needed?
Multimodal message fill context with other routine. However current
`_set_empty_to_whitespace` is fill with context.
So, error occured.
And, I checked `multimodal_user_transformer_funcs` and I found it, in
this routine, context must not be empty.
Now remove the `_set_empty_to_whitespace` when multimodal message,
<!-- Please give a short summary of the change and the problem this
solves. -->
## Related issue number
Closes#6439
## 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.
- [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 <ekzhu@users.noreply.github.com>
Added `flush=True` to the `aprint` call when handling
`ModelClientStreamingChunkEvent` message to ensure each chunk is
immediately displayed as it arrives.
<!-- Thank you for your contribution! Please review
https://microsoft.github.io/autogen/docs/Contribute before opening a
pull request. -->
<!-- Please add a reviewer to the assignee section when you create a PR.
If you don't have the access to it, we will shortly find a reviewer and
assign them to your PR. -->
## Why are these changes needed?
When handling `ModelClientStreamingChunkEvent` message, streaming chunks
weren't guaranteed to be displayed immediately, as Python's stdout might
buffer output without an explicit flush instruction. This could cause
visual delays between when `chunk_event` objects are added to the
message queue and when users actually see the content rendered in the
console.
<!-- Please give a short summary of the change and the problem this
solves. -->
## Related issue number
None
<!-- For example: "Closes #1234" -->
## 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.
## Why are these changes needed?
Requesting to add a new example folder under Python samples so that
AutoGen(0.4+) users can easily find this comprehensive example of using
agents and Groupchats to build a multi-agent data management system for
Azure postgreSQL. Readme contains link to a repo with comprehensive
multiagent postgreSQL data management example
## Related issue number
N/A
## Checks
N/A (only a readme file)
- [ ] 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.
- [ ] I've made sure all auto checks have passed.
Co-authored-by: Mehrsa Golestaneh <mgolestaneh@microsoft.com>
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
## Why are these changes needed?
❗ Before
Previously, GraphFlow.__init__() modified the inner_chats and
termination_condition for internal execution logic (e.g., constructing
_StopAgent or composing OrTerminationCondition).
However, these modified values were also used during dump_component(),
meaning the serialized config no longer matched the original inputs.
As a result:
1. dump_component() → load_component() → dump_component() produced
non-idempotent configs.
2. Internal-only constructs like _StopAgent were mistakenly serialized,
even though they should only exist in runtime.
⸻
✅ After
This patch changes the behavior to:
• Store original inner_chats and termination_condition as-is at
initialization.
• During to_config(), serialize only the original unmodified versions.
• Avoid serializing _StopAgent or other dynamically built agents.
• Ensure deserialization (from_config) produces a logically equivalent
object without additional nesting or duplication.
This ensures that:
• GraphFlow.dump_component() → load_component() round-trip produces
consistent, minimal configs.
• Internal execution logic and serialized component structure are
properly separated.
<!-- Please give a short summary of the change and the problem this
solves. -->
## Related issue number
<!-- For example: "Closes #1234" -->
Closes#6431
## 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.
- [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.
## Why are these changes needed?
Current autogen-ext's test is too slow.
So, I will search slow test case and makes more fast.
[init docker executor function to module
180s->140s](a3cf70bcf8)
[reuse executor at some tests
140s->120s](ca15938afa)
[Remove unnecessary start of docker
120s->110s](61247611e0)
## Related issue number
<!-- For example: "Closes #1234" -->
Part of #6376
## Checks
- [ ] I've included any doc changes needed for
<https://microsoft.github.io/autogen/>. See
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build and test documentation locally.
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introduced in this PR.
- [x] I've made sure all auto checks have passed.
---------
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
Documentation for Graph based workflow. I kept this separate from pull
request #6333 so that you can just merge in the code without the
documentation changes if needed.
---------
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
Closes#4623
### Add Directed Graph-based Group Chat Execution Engine
(`DiGraphGroupChat`)
This PR introduces a new graph-based execution framework for Autogen
agent teams, located under `autogen_agentchat/teams/_group_chat/_graph`.
**Key Features:**
- **`DiGraphGroupChat`**: A new group chat implementation that executes
agents based on a user-defined directed graph (DAG or cyclic with exit
conditions).
- **`AGGraphBuilder`**: A fluent builder API to programmatically
construct graphs.
- **`MessageFilterAgent`**: A wrapper to restrict what messages an agent
sees before invocation, supporting per-source and per-position
filtering.
**Capabilities:**
- Supports sequential, parallel, conditional, and cyclic workflows.
- Enables fine-grained control over both execution order and message
context.
- Compatible with existing Autogen agents and runtime interfaces.
**Tests:**
- Located in `autogen_agentchat/tests/test_group_chat_graph.py`
- Includes unit and integration tests covering:
- Graph validation
- Execution paths
- Conditional routing
- Loops with exit conditions
- Message filtering
Let me know if anything needs refactoring or if you'd like the
components split further.
---------
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
Co-authored-by: Leonardo Pinheiro <leosantospinheiro@gmail.com>
## Why are these changes needed?
This PR fixes the issue of multiple `<h1>` headers in the Distributed
Agent Runtime documentation page. The page has more than one `<h1>`
which violates semantic HTML structure. This fix downgrades the inner
section headings (e.g., "Cross-Language Runtimes", "Next Steps") to
`<h2>`.
## Related issue number
Related issue: [#6090](https://github.com/microsoft/autogen/issues/6090)
## 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.
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
<!-- Thank you for your contribution! Please review
https://microsoft.github.io/autogen/docs/Contribute before opening a
pull request. -->
<!-- Please add a reviewer to the assignee section when you create a PR.
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## Why are these changes needed?
<!-- Please give a short summary of the change and the problem this
solves. -->
## Related issue number
Closes#6366
## 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.
- [ ] I've made sure all auto checks have passed.
Co-authored-by: Victor Dibia <victordibia@microsoft.com>
Adding support for Bing grounding citations to the AzureAIAgent.
<!-- Please add a reviewer to the assignee section when you create a PR.
If you don't have the access to it, we will shortly find a reviewer and
assign them to your PR. -->
## Why are these changes needed?
<!-- Please give a short summary of the change and the problem this
solves. -->
## Related issue number
<!-- For example: "Closes #1234" -->
## 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.
---------
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
Co-authored-by: Dheeraj Bandaru <BandaruDheeraj@users.noreply.github.com>
It clarifies the missing dependencies of all README.md in
python/samples/
- Added explicit mention of required dependencies
- Improved instructions for initial setup
<!-- Thank you for your contribution! Please review
https://microsoft.github.io/autogen/docs/Contribute before opening a
pull request. -->
<!-- Please add a reviewer to the assignee section when you create a PR.
If you don't have the access to it, we will shortly find a reviewer and
assign them to your PR. -->
## Why are these changes needed?
According to issue #6076, several dependencies were missing from the
requirements.txt and not mentioned in the README.md instructions.
This change adds the missing installation instructions to ensure that
users can run the demo smoothly.
## Related issue number
Closes#6076
<!-- For example: "Closes #1234" -->
## 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.
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
## Why are these changes needed?
Add missing dependency to tracing docs
<!-- Please give a short summary of the change and the problem this
solves. -->
## Related issue number
<!-- For example: "Closes #1234" -->
Closes#6419
## 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.
- [ ] I've made sure all auto checks have passed.
## Why are these changes needed?
Anthropic models are supported by AWS bedrock. ChatCompletionClient can
be created for anthropic bedrock models using this changes. This enables
the user to do the following
- Add any anthropic models and version from AWS bedrock
- Can use ChatCompletionClient for bedrock anthropic models
## Related issue number
Closes#5226
---------
Co-authored-by: harini.narasimhan <harini.narasimhan@eagleview.com>
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
## Why are these changes needed?
Starting from AutoGen v0.5.5, tools are internally managed through
`StaticWorkbench`.
However, both tools and workbench were being serialized and
deserialized, which caused conflicts during deserialization:
• When both are restored, the constructor raises:
```
ValueError: Tools cannot be used with a workbench.
```
The changes address this issue by:
1. Removing tools from serialization/deserialization:
• tools are now considered internal state of `StaticWorkbench`, and are
no longer serialized.
• Only workbench is serialized, ensuring consistency and avoiding
duplication.
2. Ensuring logical integrity:
• Since tools are not used directly after initialization, persisting
them separately serves no functional purpose.
• This avoids scenarios where both are populated, violating constructor
constraints.
Summary:
This change prevents tools/workbench conflicts by fully delegating tool
management to `StaticWorkbench` and avoiding unnecessary persistence of
tools themselves.
<!-- Please give a short summary of the change and the problem this
solves. -->
## Related issue number
Closes#6405
## 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.
- [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 <ekzhu@users.noreply.github.com>
## Why are these changes needed?
*Problem*
Previously, in `DockerCommandLineCodeExecutor`, cancellation tasks were
added directly to `self._cancellation_tasks` using
`asyncio.create_task()`:
```python
self._cancellation_tasks.append(asyncio.create_task(self._kill_running_command(command)))
```
This caused issues when cancellation tasks were created from multiple
event loops, leading to loop mismatch errors during executor shutdown.
*Solution*
This PR fixes the issue by introducing a dedicated internal event loop
for managing cancellation tasks.
Cancellation tasks are now scheduled in a fixed event loop using
`asyncio.run_coroutine_threadsafe()`:
```python
future: ConcurrentFuture[None] = asyncio.run_coroutine_threadsafe(
self._kill_running_command(command), self._loop
)
self._cancellation_futures.append(future)
```
*Additional Changes*
- Added detailed logging for easier debugging.
- Ensured clean shutdown of the internal event loop and associated
thread.
*Note*
This change ensures that all cancellation tasks are handled consistently
in a single loop, preventing cross-loop conflicts and improving executor
stability in multi-threaded environments.
## Related issue number
<!-- For example: "Closes #1234" -->
Closes#6395
## 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.
- [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 <ekzhu@users.noreply.github.com>
## Why are these changes needed?
- Add return_value_as_string for formating result from MCP tool
## Related issue number
- Opened Issue on #6368
## 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.
---------
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
## Why are these changes needed?
This PR adds an example which demonstrates how to build a streaming chat
API with multi-turn conversation history and a simple web UI for handoff
multi-agent design pattern.
---------
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
* Replace on_messages and on_messages_stream with run and run_stream to
unify interface documentation with teams
* Remove magentic-one-cli from homepage as it has not been maintained
and improved for a while.
Finishing up the work on workbench.
```python
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_agentchat.ui import Console
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import StdioServerParams, McpWorkbench
async def main() -> None:
params = StdioServerParams(
command="uvx",
args=["mcp-server-fetch"],
read_timeout_seconds=60,
)
# You can also use `start()` and `stop()` to manage the session.
async with McpWorkbench(server_params=params) as workbench:
model_client = OpenAIChatCompletionClient(model="gpt-4.1-nano")
assistant = AssistantAgent(
name="Assistant",
model_client=model_client,
workbench=workbench,
reflect_on_tool_use=True,
)
await Console(assistant.run_stream(task="Go to https://github.com/microsoft/autogen and tell me what you see."))
asyncio.run(main())
```
## Why are these changes needed?
> The pytest tests test_local_executor_with_custom_venv and
test_local_executor_with_custom_venv_in_local_relative_path located in
packages/autogen-ext/tests/code_executors/test_commandline_code_executor.py
fail when run on macOS (aarch64) using a Python interpreter managed by
uv (following the project's recommended development setup).
>
> The failure occurs during the creation of a nested virtual environment
using Python's standard venv.EnvBuilder. Specifically, the attempt to
run ensurepip inside the newly created venv fails immediately with a
SIGABRT signal. The root cause appears to be a dynamic library loading
error (dyld error) where the Python executable inside the newly created
venv cannot find its required libpythonX.Y.dylib shared library.
So, when MacOS + uv case, skipping that test.
And, adding uv-venv case
## Related issue number
Closes#6341
## 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.
- [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 <ekzhu@users.noreply.github.com>
This PR introduces `WorkBench`.
A workbench provides a group of tools that share the same resource and
state. For example, `McpWorkbench` provides the underlying tools on the
MCP server. A workbench allows tools to be managed together and abstract
away the lifecycle of individual tools under a single entity. This makes
it possible to create agents with stateful tools from serializable
configuration (component configs), and it also supports dynamic tools:
tools change after each execution.
Here is how a workbench may be used with AssistantAgent (not included in
this PR):
```python
workbench = McpWorkbench(server_params)
agent = AssistantAgent("assistant", tools=workbench)
result = await agent.run(task="do task...")
```
TODOs:
1. In a subsequent PR, update `AssistantAgent` to use workbench as an
alternative in the `tools` parameter. Use `StaticWorkbench` to manage
individual tools.
2. In another PR, add documentation on workbench.
---------
Co-authored-by: EeS <chiyoung.song@motov.co.kr>
Co-authored-by: Minh Đăng <74671798+perfogic@users.noreply.github.com>
## Why are these changes needed?
| Package | Test time-Origin (Sec) | Test time-Edited (Sec) |
|-------------------------|------------------|-----------------------------------------------|
| autogen-studio | 1.64 | 1.64 |
| autogen-core | 6.03 | 6.17 |
| autogen-ext | 387.15 | 373.40 |
| autogen-agentchat | 54.20 | 20.67 |
## Related issue number
Related #6361
## 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.
- [ ] I've made sure all auto checks have passed.
## Why are these changes needed?
This PR introduces a baseline self-debugging loop to the
`CodeExecutionAgent`.
The loop automatically retries code generation and execution up to a
configurable number of attempts (n) until the execution succeeds or the
retry limit is reached.
This enables the agent to recover from transient failures (e.g., syntax
errors, runtime errors) by using its own reasoning to iteratively
improve generated code—laying the foundation for more robust autonomous
behavior.
## Related issue number
Closes#6207
## 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 <abhijeet040403@gmail.com>
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
This PR fixes a bug where `model_context` was either ignored or
explicitly set to `None` during agent deserialization (`_from_config`)
in:
- `AssistantAgent`: `model_context` was serialized but not restored.
- `SocietyOfMindAgent`: `model_context` was neither serialized nor
restored.
- `CodeExecutorAgent`: `model_context` was serialized but not restored.
As a result, restoring an agent from its config silently dropped runtime
context settings, potentially affecting agent behavior.
This patch:
- Adds proper serialization/deserialization of `model_context` using
`.dump_component()` and `load_component(...)`.
- Ensures round-trip consistency when using declarative agent configs.
## Related issue number
Closes#6336
## 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.
- [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 <ekzhu@users.noreply.github.com>
- Added the support Azure AI Agent. The new agent is named AzureAIAgent.
- The agent supports Bing search, file search, and Azure search tools.
- Added a Jupiter notebook to demonstrate the usage of the AzureAIAgent.
## What's missing?
- AzureAIAgent support only text message responses
- Parallel execution for the custom functions.
## Related issue number
[5545](https://github.com/microsoft/autogen/issues/5545#event-16626859772)
---------
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
This change avoid re-registering a structured message already registered
to the team by a previous agent also included in the team.
This issue occurs when agents share Pydantic models as output format
## Related issue number
Closes#6353
---------
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
