It clarifies the missing dependencies of all README.md in
python/samples/

- Added explicit mention of required dependencies
- Improved instructions for initial setup

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## 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>

Signed-off-by: zhanluxianshen <zhanluxianshen@163.com>
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>

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.

Fix outdated script references from chess_game.py to main.py

Closes #5873
---------

Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>

Because.

* 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>