DOC: add extentions - autogen-oaiapi and autogen-contextplus
the contextplus is user define autogen model_context.
It discussion in #6217 and #6160
---------
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
## Why are these changes needed?
I was getting the following exception when doing tool calls with
anthropic - the exception was coming form the `__str__` in
`LLMStreamStartEvent`.
```
('Object of type ToolUseBlock is not JSON serializable',)
```
The issue is that when creating the LLMStreamStartevent in the
`create_stream`, the messages weren't being serialized first.
## Related issue number
Signed-off-by: Peter Jausovec <peter.jausovec@solo.io>
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
The current implementation of consecutive `SystemMessage` merging
applies only to models where `model_info.family` starts with
`"gemini-"`.
Since PR #6327 introduced the `multiple_system_messages` field in
`model_info`, we can now generalize this logic by checking whether the
field is explicitly set to `False`.
This change replaces the hardcoded family check with a conditional that
merges consecutive `SystemMessage` blocks whenever
`multiple_system_messages` is set to `False`.
Test cases that previously depended on the `"gemini"` model family have
been updated to reflect this configuration flag, and renamed accordingly
for clarity.
In addition, for consistency across conditional logic, a follow-up PR is
planned to refactor the Claude-specific transformation condition
(currently implemented via `create_args.get("model",
"unknown").startswith("claude-")`)
to instead use the existing `is_claude()`.
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
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## Why are these changes needed?
This is an initial exploration of what could be a solution for #6214 .
It implements a simple text canvas using difflib and also a memory
component and a tool component for interacting with the canvas. Still in
early testing but would love feedback on the design.
## Related issue number
<!-- For example: "Closes #1234" -->
## Checks
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introduced in this PR.
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---------
Co-authored-by: Leonardo Pinheiro <lpinheiro@microsoft.com>
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
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 <ekzhu@users.noreply.github.com>
## Why are these changes needed?
`SocietyOfMindAgent` has multiple system message, however many
client/model does not support it.
## Related issue number
Related #6290
---------
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
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 #6153
## Checks
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---------
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
## 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#6308 "
## Checks
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---------
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Resolves#6232, #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: #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.
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#6161
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
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 <ekzhu@users.noreply.github.com>
## 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#6304
## Why are these changes needed?
- To add support for code generation, execution and reflection to
`CodeExecutorAgent`.
## Related issue number
Closes#5824
## Checks
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introduced in this PR.
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---------
Signed-off-by: Abhijeetsingh Meena <abhijeet040403@gmail.com>
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
adding email agent
## Why are these changes needed?
This PR introduces an AI-powered email assistant that can generate
images, attach files, draft reports, and send emails to multiple
recipients or specific users based on their queries. This feature is
highly beneficial for customer management and email marketing, enhancing
automation and improving efficiency.
## Related issue number
Open #6228
## Checks
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An app can pass untyped dicts to set configuration options of various
Task-Centric Memory classes. But tools like pyright can complain about
the loose typing. This PR exposes 4 TypedDict classes that apps can
optionally use.
<!-- Please give a short summary of the change and the problem this
solves. -->
## Related issue number
<!-- For example: "Closes #1234" -->
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introduced in this PR.
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## Related issue number
<!-- For example: "Closes #1234" -->
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introduced in this PR.
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Signed-off-by: zhanluxianshen <zhanluxianshen@163.com>
Co-authored-by: Victor Dibia <victordibia@microsoft.com>
Closes#6265
Convert the `Message` and `Resource` dataclasses to Pydantic models in
the `llamaindex-agent` cookbook.
* Replace `dataclass` with `BaseModel` for `Message` and `Resource`
classes.
* Update imports to use `BaseModel` from `pydantic`
Co-authored-by: Victor Dibia <victordibia@microsoft.com>
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## Why are these changes needed?
`IncludeEnum` was removed in ChromaDB when it was updated to `1.0.0`.
This caused issues when using `ChromaDBVectorMemory`. This PR fixes
those issues
## Related issue number
Closes#6241
## Checks
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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.
---------
Co-authored-by: Victor Dibia <victordibia@microsoft.com>
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## Why are these changes needed?
Add note on how to update modelinfo for new models.
<!-- Please give a short summary of the change and the problem this
solves. -->
## Related issue number
<!-- For example: "Closes #1234" -->
Closes#6258
## Checks
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introduced in this PR.
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## Why are these changes needed?
https://github.com/user-attachments/assets/e160f16d-f42d-49e2-a6c6-687e4e6786f4
Enable file upload/paste as a task in AGS. Enables tasks like
- Can you research and fact check the ideas in this screenshot?
- Summarize this file
Only text and images supported for now
Underneath, it constructs TextMessage and Multimodal messages as the
task.
<!-- Please give a short summary of the change and the problem this
solves. -->
## Related issue number
<!-- For example: "Closes #1234" -->
Closes#5773
## Checks
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introduced in this PR.
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---------
Co-authored-by: Jack Gerrits <jackgerrits@users.noreply.github.com>
## Why are these changes needed?
bug fix : add get_embedding() implementation
## Related issue number
"Closes #6240 " -->
## Checks
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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>
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## Why are these changes needed?
- Exposes a few optional memory controller parameters for more detailed
control and evaluation.
- Fixes a couple formatting issues in the documentation.
## Related issue number
None
## Checks
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<https://microsoft.github.io/autogen/>. See
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## Why are these changes needed?
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solves. -->
## Related issue number
<!-- For example: "Closes #1234" -->
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introduced in this PR.
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Fixes the sha256_hash docstring to refer to SHA-256 and not MD5.
## Why are these changes needed?
The docstring refers to (presumably) a previous implementation that was
using MD5.
## Related issue number
N/A
## Checks
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<!-- For example: "Closes #1234" -->
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Signed-off-by: zhanluxianshen <zhanluxianshen@163.com>
This pull request introduces a new feature to the
`DockerCommandLineCodeExecutor` class, which allows temporary files
generated by code execution to be deleted after code execution. The most
important changes include adding a new configuration option, updating
the class to handle this option, and adding tests to verify the new
functionality.
### New Feature: Temporary File Deletion
*
[`python/packages/autogen-ext/src/autogen_ext/code_executors/docker/_docker_code_executor.py`](diffhunk://#diff-8ef47c21141ed8b0a757b0e6f9d1491561fc31684756d22ed0253edbfcfcdf91R81):
Added `delete_tmp_files` attribute to the
`DockerCommandLineCodeExecutorConfig` class and updated the
`DockerCommandLineCodeExecutor` class to handle this attribute. This
includes initializing the attribute, adding it to the configuration
methods, and implementing the file deletion logic in the
`_execute_code_dont_check_setup` method.
[[1]](diffhunk://#diff-8ef47c21141ed8b0a757b0e6f9d1491561fc31684756d22ed0253edbfcfcdf91R81)
[[2]](diffhunk://#diff-8ef47c21141ed8b0a757b0e6f9d1491561fc31684756d22ed0253edbfcfcdf91R128)
[[3]](diffhunk://#diff-8ef47c21141ed8b0a757b0e6f9d1491561fc31684756d22ed0253edbfcfcdf91R177)
[[4]](diffhunk://#diff-8ef47c21141ed8b0a757b0e6f9d1491561fc31684756d22ed0253edbfcfcdf91R231)
[[5]](diffhunk://#diff-8ef47c21141ed8b0a757b0e6f9d1491561fc31684756d22ed0253edbfcfcdf91R318)
[[6]](diffhunk://#diff-8ef47c21141ed8b0a757b0e6f9d1491561fc31684756d22ed0253edbfcfcdf91R346-R352)
[[7]](diffhunk://#diff-8ef47c21141ed8b0a757b0e6f9d1491561fc31684756d22ed0253edbfcfcdf91R527)
[[8]](diffhunk://#diff-8ef47c21141ed8b0a757b0e6f9d1491561fc31684756d22ed0253edbfcfcdf91R547)
### Testing
*
[`python/packages/autogen-ext/tests/code_executors/test_docker_commandline_code_executor.py`](diffhunk://#diff-635dbdcdeca161e620283399d5cd43ca756ec0f88d4429f059ee4f6b346874e4R318-R363):
Added a new test `test_delete_tmp_files` to verify the behavior of the
`delete_tmp_files` attribute. This test checks that temporary files are
correctly deleted or retained based on the configuration.<!-- Thank you
for your contribution! Please review
https://microsoft.github.io/autogen/docs/Contribute before opening a
pull request. -->
This PR improves fallback safety when an invalid `model_family` is
supplied to `get_transformer()`. Previously, if a user passed an
arbitrary or incorrect `family` string in `model_info`, the lookup could
fail without falling back to `ModelFamily.UNKNOWN`.
Now, we explicitly check whether `model_family` is a valid value in
`ModelFamily.ANY`. If not, we fallback to `_find_model_family()` as
intended.
## Related issue number
Related #6011#issuecomment-2779957730
## Checks
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---------
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
Please refer to #6123 for full context.
That issue outlines several design and behavioral problems with
`SocietyOfMindAgent`.
This DRAFT PR focuses on resolving the most critical and broken
behaviors first.
Here is the error list
🔍 SocietyOfMindAgent: Design Issues and Historical Comparison (v0.2 vs
v0.4+)
### ✅ P1–P4 Regression Issue Table (Updated with Fixes in PR #6142)
| ID | Description | Current v0.4+ Issue | Resolution in PR #6142 | Was
it a problem in v0.2? | Notes |
|-----|-------------|----------------------|--------------------------|----------------------------|-------|
| **P1** | `inner_messages` leaks into outer team termination evaluation
| `Response.inner_messages` is appended to the outer team's
`_message_thread`, affecting termination conditions. Violates
encapsulation. | ✅ `inner_messages` is excluded from `_message_thread`,
avoiding contamination of outer termination logic. | ❌ No | Structural
boundary is now enforced |
| **P2** | Inner team does not execute when outer message history is
empty | In chained executions, if no new outer message exists, no task
is created and the inner team is skipped entirely | ✅ Detects absence of
new outer message and reuses the previous task, passing it via a handoff
message. This ensures the inner team always receives a valid task to
execute | ❌ No | The issue was silent task omission, not summary
failure. Summary succeeds as a downstream effect |
| **P3** | Summary LLM prompt is built from external input only | Prompt
is constructed using external message history, ignoring internal
reasoning | ✅ Prompt construction now uses
`final_response.inner_messages`, restoring internal reasoning as the
source of summarization | ❌ No | Matches v0.2 internal monologue
behavior |
| **P4** | External input is included in summary prompt (possibly
incorrectly) | Outer messages are used in the final LLM summarization
prompt | ✅ Resolved via the same fix as P3; outer messages are no longer
used for summary | ❌ No | Redundant with P3, now fully addressed |
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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
resolve#6123
Blocked #6168 (Sometimes SoMA send last whitespace message)
related #6187
<!-- For example: "Closes #1234" -->
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---------
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
This PR defines the missing `LLMCallEventMessage` class to resolve an
instantiation error that occurs when using custom messages (e.g., via
AgentStudio).
> **Discord Report**
> சravanaன் — 오후 6:40
> _“i updated agentchat and agentcore and tried running the config from
agentstudio and it is now not running the agent and is throwing error
`TypeError: Can't instantiate abstract class LLMCallEventMessage with
abstract methods to_model_message, to_model_text, to_text`”_
The issue stems from `LLMCallEventMessage` being an abstract class that
lacks required methods from `BaseChatMessage`.
This PR implements the missing methods.
Since `LLMCallEventMessage` is intended for **logging/UI use only**, and
not to be sent to LLMs, the `to_model_message()` method raises
`NotImplementedError` by design.
## Related issue number
Reported in Discord
Closes#6206