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Author	SHA1	Message	Date
Eric Zhu	025490a1bd	Use class hierarchy to organize AgentChat message types and introduce StructuredMessage type (#5998 ) This PR refactored `AgentEvent` and `ChatMessage` union types to abstract base classes. This allows for user-defined message types that subclass one of the base classes to be used in AgentChat. To support a unified interface for working with the messages, the base classes added abstract methods for: - Convert content to string - Convert content to a `UserMessage` for model client - Convert content for rendering in console. - Dump into a dictionary - Load and create a new instance from a dictionary This way, all agents such as `AssistantAgent` and `SocietyOfMindAgent` can utilize the unified interface to work with any built-in and user-defined message type. This PR also introduces a new message type, `StructuredMessage` for AgentChat (Resolves #5131), which is a generic type that requires a user-specified content type. You can create a `StructuredMessage` as follow: ```python class MessageType(BaseModel): data: str references: List[str] message = StructuredMessage[MessageType](content=MessageType(data="data", references=["a", "b"]), source="user") # message.content is of type `MessageType`. ``` This PR addresses the receving side of this message type. To produce this message type from `AssistantAgent`, the work continue in #5934. Added unit tests to verify this message type works with agents and teams.	1 year ago
Eric Zhu	3cc9095f28	fix: type issues in streamlit sample and add streamlit to dev dependencies (#5309 )	1 year ago
Hussein Koprly	75968565a1	adding streamlit sample app (#5306 ) - New Streamlit sample app using autogen - README added on how to run it	1 year ago

Author

SHA1

Message

Date

Eric Zhu

025490a1bd

Use class hierarchy to organize AgentChat message types and introduce StructuredMessage type (#5998 )

This PR refactored `AgentEvent` and `ChatMessage` union types to
abstract base classes. This allows for user-defined message types that
subclass one of the base classes to be used in AgentChat.

To support a unified interface for working with the messages, the base
classes added abstract methods for:
- Convert content to string
- Convert content to a `UserMessage` for model client
- Convert content for rendering in console.
- Dump into a dictionary
- Load and create a new instance from a dictionary

This way, all agents such as `AssistantAgent` and `SocietyOfMindAgent`
can utilize the unified interface to work with any built-in and
user-defined message type.

This PR also introduces a new message type, `StructuredMessage` for
AgentChat (Resolves #5131), which is a generic type that requires a
user-specified content type.

You can create a `StructuredMessage` as follow:

```python

class MessageType(BaseModel):
  data: str
  references: List[str]

message = StructuredMessage[MessageType](content=MessageType(data="data", references=["a", "b"]), source="user")

# message.content is of type `MessageType`. 
```

This PR addresses the receving side of this message type. To produce
this message type from `AssistantAgent`, the work continue in #5934.

Added unit tests to verify this message type works with agents and
teams.

1 year ago

Eric Zhu

3cc9095f28

fix: type issues in streamlit sample and add streamlit to dev dependencies (#5309 )

1 year ago

Hussein Koprly

75968565a1

adding streamlit sample app (#5306 )

- New Streamlit sample app using autogen
- README added on how to run it

1 year ago

3 Commits (025490a1bd99c84564c2effde67f0ff3933595bd)