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## Why are these changes needed?
Adds ollama client documentation to the docs page
## Related issue number
https://github.com/microsoft/autogen/issues/5604
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## Why are these changes needed?
Initial commit's docstrings were incorrect, which would be confusing for
a user
## Related issue number
https://github.com/microsoft/autogen/issues/5595
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<img width="1560" alt="image"
src="https://github.com/user-attachments/assets/da3d781f-2572-4bd7-802d-1d3900f6c6d9"
/>
## Why are these changes needed?
Improves editing UI for tools in AGS
- add remove tools
- add/remove imports
- show source code section of FunctionTool in in code editor
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solves. -->
## Related issue number
<!-- For example: "Closes #1234" -->
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- Add a section on how to use model client with tools
- Replace the obsecure pattern of using ToolAgent with a simpler
implementation of calling tool within the agent itself.
* integration tests used to use the samples - now they are separate
* patch dictionary problem in serializer
* add Message Registry with dead letter queue that gets checked on new
subs.
This pull request includes a small change to the
`python/packages/magentic-one-cli/src/magentic_one_cli/_m1.py` file. The
change modifies the help message for the `--config` argument to remove
the part about leaving it empty to print a sample configuration. This is
already handled by `--sample-config`.
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
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## Why are these changes needed?
Make
[PythonCodeExecutionTool](https://github.com/microsoft/autogen/blob/main/python/packages/autogen-ext/src/autogen_ext/tools/code_execution/_code_execution.py)
declarative so it can be used in tools like AGS
Summary of changes
- Make CodeExecutor declarative (convert from Protocol to ABC, inherit
from ComponentBase)
- Make LocalCommandLineCodeExecutor, JupyterCodeExecutor and
DockerCommandLineCodeExecutor declarative , best effort. Not all fields
are serialized, warnings are shown where appropriate.
- Make PythonCodeExecutionTool declarative.
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solves. -->
## Related issue number
Closes#5526
<!-- For example: "Closes #1234" -->
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Pulls the .NET Docs a bit more into the documentation website proper:
* Add a link from the 0.4-series Python docs to
* Adds a transient redirect from /dotnet/ to /dotnet/dev/ to forward to
the dev docs until we do a non "-dev" release
This finishes the fix for the race condition between opening a
GrpcWorkerConnection and registering agent types on that worker. Now,
instead of failing to register, we return from the call (with the
expectation that we will finish registration as we set up the
connection)
Part 1: #5494
Part 2: #5514
---------
Co-authored-by: Ryan Sweet <rysweet@microsoft.com>
Fixed a wrong class name style in the document and removed trailing whitespace.
Co-authored-by: Wei Jen Lu <weijenlu@microsoft.com>
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
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Adds the following blurb to the model clients docs
## API Keys From Environment Variables
In the examples above, we show that you can provide the API key through
the `api_key` argument. Importantly, the OpenAI and Azure OpenAI clients
use the [openai
package](3f8d8205ae/src/openai/__init__.py (L260)),
which will automatically read an api key from the environment variable
if one is not provided.
- For OpenAI, you can set the `OPENAI_API_KEY` environment variable.
- For Azure OpenAI, you can set the `AZURE_OPENAI_API_KEY` environment
variable.
This is a good practice to explore, as it avoids including sensitive api
keys in your code.
## Why are these changes needed?
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solves. -->
## Related issue number
<!-- For example: "Closes #1234" -->
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Right now we rely on opening the channel to associate a ClientId with an
entry on the gateway side. This causes a race when the channel is being
opened in the background while an RPC (e.g. MyAgent.register()) is
invoked.
If the RPC is processed first, the gateway rejects it due to "invalid"
clientId.
This fix makes this condition less likely to trigger, but there is still
a piece of the puzzle that needs to be solved on the Gateway side.
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## Why are these changes needed?
It is useful to rapidly validate any changes to a team structure as
teams are built either via drag and drop or by modifying the underlying
spec
You can now “validate” your team. The key ideas are as follows
- Each team is based on some Component Config specification which is a
pedantic model underneath.
- Validation is 3 pronged based on a ValidatorService class
- Data model validation (validate component schema)
- Instantiation validation (validate component can be instantiated)
- Provider validation, component_type validation (validate that provider
exists and can be imported)
- UX: each time a component is **loaded or saved**, it is automatically
validated and any errors shown (via a server endpoint). This way, the
developer immediately knows if updates to the configuration is wrong or
has errors.
> Note: this is different from actually running the component against a
task. Currently you can run the entire team. In a separate PR we will
implement ability to run/test other components.
<img width="1360" alt="image"
src="https://github.com/user-attachments/assets/d61095b7-0b07-463a-b4b2-5c50ded750f6"
/>
<img width="1368" alt="image"
src="https://github.com/user-attachments/assets/09a1677e-76e8-44a4-9749-15c27457efbb"
/>
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solves. -->
## Related issue number
Closes#4616
<!-- For example: "Closes #1234" -->
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Closes#5297
---------
Co-authored-by: Ryan Sweet <rysweet@microsoft.com>
Co-authored-by: Jacob Alber <jaalber@microsoft.com>
Co-authored-by: Jacob Alber <jacob.alber@microsoft.com>
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
Add the following additional configuration options to
DockerCommandLineCodeExectutor:
- **extra_volumes** (Optional[Dict[str, Dict[str, str]]], optional): A
dictionary of extra volumes (beyond the work_dir) to mount to the
container. Defaults to None.
- **extra_hosts** (Optional[Dict[str, str]], optional): A dictionary of
host mappings to add to the container. (See Docker docs on extra_hosts)
Defaults to None.
- **init_command** (Optional[str], optional): A shell command to run
before each shell operation execution. Defaults to None.
## Why are these changes needed?
See linked issue below.
In summary: Enable the agents to:
- work with a richer set of sys admin tools on top of code execution
- add support for a 'project' directory the agents can interact on
that's accessible by bash tools and custom scripts
## Related issue number
Closes#5363
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introduced in this PR.
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This PR improves documentation on custom agents
- Shows example on how to create a custom agent that directly uses a
model client. In this case an example of a GeminiAssistantAgent that
directly uses the Gemini SDK model client.
- Shows that that CustomAgent can be easily added to any agentchat team
- Shows how the same CustomAgent can be made declarative by inheriting
the Component interface and implementing the required methods.
Closes#5450
## Why are these changes needed?
These changes are needed because currently there's no generic way to add
`tools` to autogen studio workflows using the existing DSL and schema
other than inline python.
This API will be quite verbose, and lacks a discovery mechanism, but it
unlocks a lot of programmatic use-cases.
## Related issue number
https://github.com/microsoft/autogen/issues/5170
Co-authored-by: Victor Dibia <victordibia@microsoft.com>
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
Have seen discussion on Discord regarding confusion about multi-modal
support in v0.4. This change adds a small note on how to use multi-modal
messages with agents.
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## Why are these changes needed?
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solves. -->
The current implementation tries to recreate the metadata but it does it
in an incomplete way. This PR uses SK built-in kernel from function
decorator to infer the callable from the `run_json` and makes better use
of the pydantic schemas for the input and output to infer the schema of
the kernel function.
## Related issue number
<!-- For example: "Closes #1234" -->
Closes#5458
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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>
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Add clear notes on how to specify api key and modifying specifications
in AGS.
Add diagrams explaining how to switch between visual builder and JSON
mode
## 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" -->
@nour-bouzid
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It is often helpful to inspect the raw request and response to/from an
LLM as agents act.
This PR, does the following:
- Updates TeamManager to yield LLMCallEvents from core library
- Run in an async background task to listen for LLMCallEvent JIT style
when a team is run
- Add events to an async queue and
- yield those events in addition to whatever actual agentchat
team.run_stream yields.
- Update the AGS UI to show those LLMCallEvents in the messages section
as a team runs
- Add settings panel to show/hide llm call events in messages.
- Minor updates to default team
<img width="1539" alt="image"
src="https://github.com/user-attachments/assets/bfbb19fe-3560-4faa-b600-7dd244e0e974"
/>
<img width="1554" alt="image"
src="https://github.com/user-attachments/assets/775624f5-ba83-46e8-81ff-512bfeed6bab"
/>
<img width="1538" alt="image"
src="https://github.com/user-attachments/assets/3becbf85-b75a-4506-adb7-e5575ebbaec4"
/>
## 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#5440
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## Why are these changes needed?
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solves. -->
The current stream processing of SK model adapter returns on the first
function call chunk but this behavior is incorrect end ends up returning
with an incomplete function call. The observed behavior is that the
function name and arguments are split into different chunks and this
update correctly processes the chunks in this way.
## Related issue number
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Fixes the reply in #5420
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---------
Co-authored-by: Leonardo Pinheiro <lpinheiro@microsoft.com>
Don't throw an exception when model makes a mistake. Use retries, and if
not succeeding after a fixed attempts, fall back to the previous sepaker
if available, or the first participant.
Resolves#5453
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## Why are these changes needed?
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solves. -->
Semantic kernel prepends the plugin name to the tool name when passing
the tools to model clients and this is causing a mismatch between tool
names in SK and the AssistantAgent. Since plugin names are optional, we
have opted to remove it.
## Related issue number
<!-- For example: "Closes #1234" -->
Closes#5420
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---------
Co-authored-by: Leonardo Pinheiro <lpinheiro@microsoft.com>
Restoring the grpc + Orleans server into the project
## Why are these changes needed?
This is the distributed agent runtime for .NET that can manage routing
messages amongst a fleet of grpc agent runtimes.
## Related issue number
## Checks
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introduced in this PR.
- [x] I've made sure all auto checks have passed.
---------
Co-authored-by: Jack Gerrits <jack@jackgerrits.com>
Co-authored-by: Jacob Alber <jaalber@microsoft.com>
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## Why are these changes needed?
- Add ability to test teams in Team Builder view
- Update Gallery (add deep research default team, fix bug with gallery
serialization)
- UI fixes
- improve drag drop component experience
- improve new session experience (single click rather than 3 clicks to
create a session)
- fix bug with stop reason not being shown in some cases
<img width="1738" alt="Image"
src="https://github.com/user-attachments/assets/4b895df2-3bad-474e-bec6-4fbcbf1c4346"
/>
<img width="1761" alt="Image"
src="https://github.com/user-attachments/assets/65f52eb9-e926-4168-88fb-d2496c159474"
/>
<!-- Please give a short summary of the change and the problem this
solves. -->
## Related issue number
Closes#5392
<!-- For example: "Closes #1234" -->
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Introduce a sample chat application using AgentChat and FastAPI,
demonstrating single-agent and team chat functionalities, along with
state persistence and conversation history management.
Resolves#5423
---------
Co-authored-by: Victor Dibia <victor.dibia@gmail.com>
Co-authored-by: Victor Dibia <victordibia@microsoft.com>
Presently MagenticOne and the m1 CLI use the LocalCommandLineExecutor
(presumably copied from the agbench code, which already runs in Docker).
This pr defaults m1 to Docker, and adds a code_executor parameter to
MagenticOne, which defaults to local for now to maintain backward
compatibility -- but this behavior is immediately deprecated.
- Updated HumanEval template to use AgentChat
- Update templates to use config.yaml for model and other configuration
- Read environment from ENV.yaml (ENV.json still supported but
deprecated)
- Temporarily removed WebArena and AssistantBench. Neither had viable
Templates after `autogen_magentic_one` was removed. Templates need to be
update to AgentChat (in a future PR, but this PR is getting big enough
already)
A series of changes to the
`python/packages/autogen-ext/src/autogen_ext/agents/web_surfer/_multimodal_web_surfer.py`
file have been made to better support smaller models.
This includes changes to the prompts, state descriptions, and ordering
of messages.
Regression tasks with OpenAI models shows no change in GAIA scores,
while scores for Llama are significantly improved.
Get's SelectorGroupChat working for llama by:
1. Using a UserMessage rather than a SystemMessage
2. Normalizing how roles are presented (one agent per line)
3. Normalizing how the transcript is constructed (a blank line between
every message)
This PR fixes:
A prompting bug when no control had focus.
Awkward prompt phrasing.
Renamed page_down to scroll_down to better match other prompting and
agent descriptions.
Some agent descriptions were split over multiple lines in the M1
orchestrator. This PR ensures that each description appears on one, and
only one, line. This makes it easier for smaller models to understand.
The Tuple class is never used in CountDownAgent class.
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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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Co-authored-by: Victor Dibia <victordibia@microsoft.com>
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## Why are these changes needed?
Currently the way to accomplish RAG behavior with agent chat,
specifically assistant agents is with the memory interface, however
there is no way to configure it via the declarative API.
<!-- 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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introduced in this PR.
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---------
Co-authored-by: Victor Dibia <chuvidi2003@gmail.com>
Just fix typo
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## Why are these changes needed?
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## Related issue number
<!-- For example: "Closes #1234" -->
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## Why are these changes needed?
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solves. -->
To allow serialization of OAI Assistant Agent.
## Related issue number
<!-- For example: "Closes #1234" -->
Closes#5130
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## Why are these changes needed?
Fix permission issue in ags windows (env files now stored in a user
directory)
<!-- Please give a short summary of the change and the problem this
solves. -->
## Related issue number
<!-- For example: "Closes #1234" -->
Closes#5355
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Allow AssistantAgent to drop images when not equipped with a multi-modal model.
Adds a corresponding utility function, which can be used in autogen-ext and teams, to accomplish the same.
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## Why are these changes needed?
Wrong file names in the README.md
## Related issue number
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Co-authored-by: Mohammad Mazraeh <Mazraeh.Mohammad@Gmail.com>
This PR does the following:
- Fix warning messages in AGS on launch.
- Improve Cli message to include app URL on startup from command line
- Minor improvements default gallery generator. (add more default tools)
- Improve new session behaviour.
## Related issue number
Closes#5097
## Checks
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https://microsoft.github.io/autogen/docs/Contribute before opening a
pull request. -->
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## Why are these changes needed?
Fix bug where the `model_info` field is not serialized for the
`OpenAIChatCompletionClient` class. This was because the `_raw_config`
field was based on a version of the args that had been sanitized
(model_info removed). We need the full model info field for non-openai
models
```python
from autogen_ext.agents.web_surfer import MultimodalWebSurfer
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_core.models import ModelInfo
mistral_vllm_model = OpenAIChatCompletionClient(
model="TheBloke/Mistral-7B-Instruct-v0.2-GGUF",
base_url="http://localhost:1234/v1",
api_key="empty",
model_info=ModelInfo(vision=False, function_calling=True, json_output=False, family="unkown"),
)
(mistral_vllm_model.dump_component().model_dump_json())
```
Before
```
{
"provider": "autogen_ext.models.openai.OpenAIChatCompletionClient",
"component_type": "model",
"version": 1,
"component_version": 1,
"description": "Chat completion client for OpenAI hosted models.",
"label": "OpenAIChatCompletionClient",
"config": {
"model": "TheBloke/Mistral-7B-Instruct-v0.2-GGUF",
"api_key": "empty",
"base_url": "http://localhost:1234/v1"
}
}
```
After
```
{
"provider": "autogen_ext.models.openai.OpenAIChatCompletionClient",
"component_type": "model",
"version": 1,
"component_version": 1,
"description": "Chat completion client for OpenAI hosted models.",
"label": "OpenAIChatCompletionClient",
"config": {
"model": "TheBloke/Mistral-7B-Instruct-v0.2-GGUF",
"api_key": "empty",
"model_info": {
"vision": false,
"function_calling": true,
"json_output": false,
"family": "unkown"
},
"base_url": "http://localhost:1234/v1"
}
}
```
<!-- Please give a short summary of the change and the problem this
solves. -->
## Related issue number
<!-- For example: "Closes #1234" -->
## Checks
- [ ] I've included any doc changes needed for
https://microsoft.github.io/autogen/. See
https://microsoft.github.io/autogen/docs/Contribute#documentation 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 introduces the 'o3' model family and adds support for
the 'o3-mini' model.
---------
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?
<!-- Please give a short summary of the change and the problem this
solves. -->
We are seeing this issue more often now, probably related to the load on
the API servers. Hence this PR:
1. Demotes the the `max_consecutive_empty_chunk_tolerance` parameter
from function to inline threshold
2. Change exception to a one time warning
## Related issue number
<!-- For example: "Closes #1234" -->
## Checks
- [x] I've included any doc changes needed for
https://microsoft.github.io/autogen/. See
https://microsoft.github.io/autogen/docs/Contribute#documentation to
build and test documentation locally.
- [x] I've added tests (if relevant) corresponding to the changes
introduced in this PR.
- [ ] I've made sure all auto checks have passed.
---------
Signed-off-by: Mohammad Mazraeh <mazraeh.mohammad@gmail.com>
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
This PR adds a method that approximately extracts the text visible in
the viewport of the web browser (as opposed to always printing the first
50 lines, or relying entirely on OCR).
This PR removes the older `autogen_magentic_one` package, and directs
people to use the new AgentChat implementation.
Hopefully this eases confusion.
---------
Co-authored-by: Jack Gerrits <jack@jackgerrits.com>
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
* New sample of chess playing showing R1's thought process in streaming
mode
* Modify existing samples to use `model_config.yml` instead of JSON
configs for better clarity.
---------
Co-authored-by: Mohammad Mazraeh <Mazraeh.Mohammad@Gmail.com>
* Separate agent and team examples
* Add streaming output
* Refactor to better use the chainlit API
* Removed the user proxy example -- this needs a bit more work to
improve the presentation on the ChainLit interface.
---------
Co-authored-by: Victor Dibia <victordibia@microsoft.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.
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?
This PR updates AGS to use the declarative config serialization native
to AgentChat.
The effect? You can build your teams/artifacts directly in python, run
`team.dump_component()` and immediately run it in AGS.
Some change details:
- Removes ComponentFactory. Instead TeamManager just loads team specs
directly using `Team.load_component`.
- Some fixes to the UI to simplify drag and drop experience.
- Improve layout of nodes...
<!-- Please give a short summary of the change and the problem this
solves. -->
## Related issue number
<!-- For example: "Closes #1234" -->
Closes#4439Closes#5172
## Checks
- [ ] I've included any doc changes needed for
https://microsoft.github.io/autogen/. See
https://microsoft.github.io/autogen/docs/Contribute#documentation 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.
cc @EItanya @nour-bouzid
Removed the TERMINATE clause from the system prompt since M1 handles
termination via the Orchestrator, and it is just ignored.
Removed the clause about saving to a particular file name, since tmp_
files are created in the current CodeExecutors.
This PR adds a `sources` optional parameter to CodeExecutorAgent
(similar to the termination conditions), that allows finer-grained
control on which agents can provide code for execution.
It also moves the `_extract_markdown_code_blocks` subroutine to a member
method, so that it can be overridden by subclasses. I've found this to
be very important to support benchmarks like HumanEval, where we need to
add a test harness around the implementation.
<!-- 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.
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?
FunctionTool supports passing in a partial
## Related issue number
Closes#5151
## Checks
- [x] I've included any doc changes needed for
https://microsoft.github.io/autogen/. See
https://microsoft.github.io/autogen/docs/Contribute#documentation 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.
Resolves#3983
* introduce `model_client_stream` parameter in `AssistantAgent` to
enable token-level streaming output.
* introduce `ModelClientStreamingChunkEvent` as a type of `AgentEvent`
to pass the streaming chunks to the application via `run_stream` and
`on_messages_stream`. Although this will not affect the inner messages
list in the final `Response` or `TaskResult`.
* handle this new message type in `Console`.
<!-- 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?
It is currently hard to add a description to a component (defaults to
None also) .. you have to call super.dump() modify and return. This PR
makes the experience better.
- allows you specify `component_description` and `component_label` as an
optional class var. label is an optional human readable name for the the
component.
- will use component_description if provided int he description field
when dumped if there is no description, will use the first line of class
docstring. Takes advantage of all the good practices we have in writing
good docstrings. label defaults to component type.
For example
```python
model_client=OpenAIChatCompletionClient( model="gpt-4o-2024-08-06" )
config = model_client.dump_component()
print(config.model_dump_json())
```
Note the description field below is no longer None and there is a label
```python
{
"provider": "autogen_ext.models.openai.OpenAIChatCompletionClient",
"component_type": "model",
"version": 1,
"component_version": 1,
"description": "Chat completion client for OpenAI hosted models.",
"label": "OpenAIChatCompletionClient",
"config": { "model": "gpt-4o-2024-08-06" }
}
```
<!-- Please give a short summary of the change and the problem this
solves. -->
## Related issue number
<!-- For example: "Closes #1234" -->
None, felt faster to fix.
## Checks
- [x] I've included any doc changes needed for
https://microsoft.github.io/autogen/. See
https://microsoft.github.io/autogen/docs/Contribute#documentation 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.
Partially resolves: #5118
Once the extension page is ready, update the tutorial pages to reduce
duplication.
---------
Co-authored-by: Victor Dibia <victordibia@microsoft.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.
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?
Make AssistantAgent and Handoff use BaseTool.
This ensures that they can be made declarative/serialized
<!-- Please give a short summary of the change and the problem this
solves. -->
## Related issue number
<!-- For example: "Closes #1234" -->
## Checks
- [ ] I've included any doc changes needed for
https://microsoft.github.io/autogen/. See
https://microsoft.github.io/autogen/docs/Contribute#documentation 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.
* Rebase to latest main branch
* Moved _azure module to azure
* Validate extra_create_args in and json response
* Added Support for Github Models
* Added normalize_name and assert_valid name
* Added Tests for AzureAIChatCompletionClient
* WIP: Azure AI Client
* Added: object-level usage data
* Added: doc string
* Added: check existing response_format value
* Added: _validate_config and _create_client
* lint
* merge dependencies
* add tests for img and function calling
* support actual tests through env vars
* address mypy errors
* doc example fix
* fmt
* fix doc fmt
* Update python/packages/autogen-ext/src/autogen_ext/models/azure/_azure_ai_client.py
---------
Co-authored-by: Rohan Thacker <thackerrohan4@gmail.com>
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
Co-authored-by: Leonardo Pinheiro <lpinheiro@microsoft.com>
* initial pass on making group chats declarative
* update group chat tests
* update impl to include participant serialization for all teams
* v1 making soc declarative
* update memory test
* update chatagent and team base classes
* update serialization doc notebook
* fomating updates
* vi1 for declarative tools
* make functtools declarative
* add tests
* update imports
* update formatting
* move tests, format fixes
* format updates
* update test
* add user warning to _from_config
* add warning on load_component to docs
---------
Co-authored-by: Ryan Sweet <rysweet@microsoft.com>
Update _magentic_one_orchestrator.py
In a Magentic Group Settting, if one of the Assitant Agents uses a tool it gives the following error, note this is under a FALSE reflect_on_tool variable.
Making it true, wont happen, though more tokens will be consumed and it will have a worst output and the philosophy of a tool as an answer is not followed...
* Pass context between AssistantAgent for handoffs
* Add parallel tool call test
---------
Co-authored-by: Jack Gerrits <jackgerrits@users.noreply.github.com>
* use caching to run tests and report coverage
* fix test step dep name
* try to fix cov fname
* add working dir to mv step
* update artifact download
* fmt
* reduce concurrency on ext test
---------
Co-authored-by: Leonardo Pinheiro <lpinheiro@microsoft.com>
* v1, make assistant agent declarative
* make head tail context declarative
* update and formatting
* update assistant, format updates
* make websurfer declarative
* update formatting
* move declarative docs to advanced section
* remove tools until implemented
* minor updates to termination conditions
* update docs
* Update tools.ipynb: concat system messages in the tool_agent_caller_loop session
* Fix type mismatch on list concatenation
---------
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
* Add ChatCompletionCache along with AbstractStore for caching completions
* Addressing comments
* Improve interface for cachestore
* Improve documentation & revert protocol
* Make cache store typed, and improve docs
* remove unnecessary casts
feat: Update gpt-4o-2024-11-20 version and model pointer
- Add version information for gpt-4o-2024-11-20
- Update model pointer
Signed-off-by: Hankyeol Kyung <kghnkl0103@gmail.com>
Co-authored-by: Ryan Sweet <rysweet@microsoft.com>
Co-authored-by: gagb <gagb@users.noreply.github.com>
* Add tiktoken as a dependency in pyproject.toml
Signed-off-by: Johan Forngren <johan.forngren@decerno.se>
Update uv.lock with tiktoken dependency from fbfdc9f652384b70f7461c90ada13f87e83677e0
Signed-off-by: Johan Forngren <johan.forngren@decerno.se>
* Updating autogen-ext dependencies per https://github.com/microsoft/autogen/pull/5008#issuecomment-2585383877
Signed-off-by: Johan Forngren <johan.forngren@decerno.se>
* PoC dev container
Signed-off-by: Johan Forngren <johan.forngren@decerno.se>
* Enhance devcontainer setup with post-create script for dependency installation and improved performance. Removed partial hot reload setup, as it required bigger changes to the project. Improved documentation, and fixed markdown lint issues.
Signed-off-by: Johan Forngren <johan.forngren@decerno.se>
* Update installation documentation for AutoGen Studio, clarifying installation methods and improving formatting. Adjusted notes for Windows users and corrected minor grammatical issues.
Signed-off-by: Johan Forngren <johan.forngren@decerno.se>
* Fixing typos. Restructuring text to avoid consecutive markdown quote blocks separated only by a blank line to avoid MD028 - Blank line inside blockquote.
Signed-off-by: Johan Forngren <johan.forngren@decerno.se>
* Include dev containers tutorial
Signed-off-by: Johan Forngren <johan.forngren@decerno.se>
* Update dev container installation instructions
Signed-off-by: Johan Forngren <johan.forngren@decerno.se>
---------
Signed-off-by: Johan Forngren <johan.forngren@decerno.se>
Co-authored-by: Victor Dibia <victordibia@microsoft.com>
* initial base memroy impl
* update, add example with chromadb
* include mimetype consideration
* add transform method
* update to address feedback, will update after 4681 is merged
* update memory impl,
* remove chroma db, typing fixes
* format, add test
* update uv lock
* update docs
* format updates
* update notebook
* add memoryqueryevent message, yield message for observability.
* minor fixes, make score optional/none
* Update python/packages/autogen-agentchat/src/autogen_agentchat/agents/_assistant_agent.py
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
* update tests to improve cov
* refactor, move memory to core.
* format fixxes
* format updates
* format updates
* fix azure notebook import, other fixes
* update notebook, support str query in Memory protocol
* update test
* update cells
* add specific extensible return types to memory query and update_context
---------
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
* make termination condition declarative
* make all term conditions declarative
* make And/OrTermination top level objects in base
* add basic tests
* add tutorial notebook
* update tests and formatting
* update tests
* update declarative config with updated api.
* Split apart component infra to allow for abstract class integration
* fix is_component_class check
* make is_ functions type guards
* Simplify component creation
* undo changes
* Format
* Add tiktoken as a dependency in pyproject.toml
Signed-off-by: Johan Forngren <johan.forngren@decerno.se>
Update uv.lock with tiktoken dependency from fbfdc9f652384b70f7461c90ada13f87e83677e0
Signed-off-by: Johan Forngren <johan.forngren@decerno.se>
* Updating autogen-ext dependencies per https://github.com/microsoft/autogen/pull/5008#issuecomment-2585383877
Signed-off-by: Johan Forngren <johan.forngren@decerno.se>
---------
Signed-off-by: Johan Forngren <johan.forngren@decerno.se>
Co-authored-by: Victor Dibia <victordibia@microsoft.com>
* Add lock for input and output management in m1
* Use event to signal it is time to prompt for input
* undo stop change
* undo changes
* Update python/packages/magentic-one-cli/src/magentic_one_cli/_m1.py
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
* reduce exported surface area
* fix
---------
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
Co-authored-by: Hussein Mozannar <hmozannar@microsoft.com>
* Add AGS to README.md
* Add appdir argument to avoid conflicting with older .autogenstudio home directory files.
---------
Co-authored-by: Victor Dibia <victordibia@microsoft.com>
* Fix: Properly await `agent.run()` in README `Hello World` example
- Updated the `Hello World` code sample to use `asyncio` for proper coroutine handling.
- Resolved `RuntimeWarning` caused by not awaiting the `agent.run()` method.
- Ensures the example executes correctly without errors or warnings.
* Add await to agent.run call in index.md
* Fix hello world
---------
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
* Make package readmes slightly less empty
* Update python/packages/autogen-ext/README.md
---------
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
* Instantiate and call activate/deactivate on agents
* autoformatting
* remove activate. Rename deactivate to close
* remove unneeded import
* create close fn in runtime
* change runtime close behavior
* uv.lock
---------
Co-authored-by: Jack Gerrits <jackgerrits@users.noreply.github.com>
* Add missing API doc for Python code execution tool
* wip
* Add API doc for the executor tool
---------
Co-authored-by: Jack Gerrits <jackgerrits@users.noreply.github.com>
* Update magentic-one.md
Add openai extra to the installation instructions
* Update python/packages/autogen-core/docs/src/user-guide/agentchat-user-guide/magentic-one.md
---------
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
* Minor fix for incorrect description of teams
* Add installation instructions
---------
Co-authored-by: Jack Gerrits <jackgerrits@users.noreply.github.com>
* Fix openai client token usage (#4769)
* Include actual_usage in add_usage function
* Make sure result is assigned
* remove method
---------
Co-authored-by: Jack Gerrits <jack@jackgerrits.com>
* Make register_factory a user facing API
* fix docstring
* Update python/packages/autogen-core/src/autogen_core/_agent_runtime.py
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
* formatting
---------
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
peterychang