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## Why are these changes needed?

Adds sidebar and breadcrumb selection and focus indicators to high
contrast modes.
Fixes (46), (55), (56)

## Related issue number

 #5633 

This change has no affect on normal color modes, but adds selection and
focus indicators to high contrast modes. I'm not sure how to get rid of
the double bars on nested links, but thats a minor issue

before:

![image](https://github.com/user-attachments/assets/62e7ce65-c3f0-4160-8260-b4153a4a2835)

after:

![image](https://github.com/user-attachments/assets/581ed2a2-5f7c-43c8-a675-2f6c57c6a251)

## Why are these changes needed?

Current webpage theme does not highlight code output boxes. Issues (5)
and (29)

## Related issue number

#5630 

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Resolves #5786

Also updated the termination tutorial to include an example of a custom
termination conditon.

Also added to guide about FunctionTool and MCP tools.

## Why are these changes needed?

The current installation command fails in certain shells (e.g., `zsh`,
`fish`) because brackets (`[]`) are interpreted as special characters.
Adding quotes ensures compatibility across different environments,
including Linux, macOS, and Windows.

## Related issue number

No related issue, but this fixes an installation issue encountered by
multiple users.

## Checks

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

## Why are these changes needed?

* `python3` to `python`: Windows uses `python` for Python 3 by default,
not `python3`.
* `bin` to `scripts`: Windows virtual environments use `Scripts` instead
of `bin`.

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

Correcting an error: If CodeReviewResult is not approved, the coder
agents sends a CodeReviewTask back to the reviewer agent, not a
CodeWritingTask.

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

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## Why are these changes needed?

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solves. -->

The PR introduces two changes.

The first change is adding a name attribute to
`FunctionExecutionResult`. The motivation is that semantic kernel
requires it for their function result interface and it seemed like a
easy modification as `FunctionExecutionResult` is always created in the
context of a `FunctionCall` which will contain the name. I'm unsure if
there was a motivation to keep it out but this change makes it easier to
trace which tool the result refers to and also increases api
compatibility with SK.

The second change is an update to how messages are mapped from autogen
to semantic kernel, which includes an update/fix in the processing of
function results.

## Related issue number

<!-- For example: "Closes #1234" -->

Related to #5675 but wont fix the underlying issue of anthropic
requiring tools during AssistantAgent reflection.

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introduced in this PR.
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---------

Co-authored-by: Leonardo Pinheiro <lpinheiro@microsoft.com>

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## Why are these changes needed?

Make FileSurfer and CodeExecAgent Declarative.
These agent presents are used as part of magentic one and having them
declarative is a precursor to their use in AGS.

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solves. -->

## Related issue number

<!-- For example: "Closes #1234" -->
Closes #5607

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## Why are these changes needed?

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solves. -->
Shows an example of how to use the `Memory` interface to implement a
just-in-time vector memory based on chromadb.

```python
import os
from pathlib import Path

from autogen_agentchat.agents import AssistantAgent
from autogen_agentchat.ui import Console
from autogen_core.memory import MemoryContent, MemoryMimeType
from autogen_ext.memory.chromadb import ChromaDBVectorMemory, PersistentChromaDBVectorMemoryConfig
from autogen_ext.models.openai import OpenAIChatCompletionClient

# Initialize ChromaDB memory with custom config
chroma_user_memory = ChromaDBVectorMemory(
    config=PersistentChromaDBVectorMemoryConfig(
        collection_name="preferences",
        persistence_path=os.path.join(str(Path.home()), ".chromadb_autogen"),
        k=2,  # Return top  k results
        score_threshold=0.4,  # Minimum similarity score
    )
)
# a HttpChromaDBVectorMemoryConfig is also supported for connecting to a remote ChromaDB server

# Add user preferences to memory
await chroma_user_memory.add(
    MemoryContent(
        content="The weather should be in metric units",
        mime_type=MemoryMimeType.TEXT,
        metadata={"category": "preferences", "type": "units"},
    )
)

await chroma_user_memory.add(
    MemoryContent(
        content="Meal recipe must be vegan",
        mime_type=MemoryMimeType.TEXT,
        metadata={"category": "preferences", "type": "dietary"},
    )
)


# Create assistant agent with ChromaDB memory
assistant_agent = AssistantAgent(
    name="assistant_agent",
    model_client=OpenAIChatCompletionClient(
        model="gpt-4o",
    ),
    tools=[get_weather],
    memory=[user_memory],
)

stream = assistant_agent.run_stream(task="What is the weather in New York?")
await Console(stream)

await user_memory.close()
```

```txt
 ---------- user ----------
What is the weather in New York?
---------- assistant_agent ----------
[MemoryContent(content='The weather should be in metric units', mime_type='MemoryMimeType.TEXT', metadata={'category': 'preferences', 'mime_type': 'MemoryMimeType.TEXT', 'type': 'units', 'score': 0.4342913043162201, 'id': '8a8d683c-5866-41e1-ac17-08c4fda6da86'}), MemoryContent(content='The weather should be in metric units', mime_type='MemoryMimeType.TEXT', metadata={'category': 'preferences', 'mime_type': 'MemoryMimeType.TEXT', 'type': 'units', 'score': 0.4342913043162201, 'id': 'f27af42c-cb63-46f0-b26b-ffcc09955ca1'})]
---------- assistant_agent ----------
[FunctionCall(id='call_a8U3YEj2dxA065vyzdfXDtNf', arguments='{"city":"New York","units":"metric"}', name='get_weather')]
---------- assistant_agent ----------
[FunctionExecutionResult(content='The weather in New York is 23 °C and Sunny.', call_id='call_a8U3YEj2dxA065vyzdfXDtNf', is_error=False)]
---------- assistant_agent ----------
The weather in New York is 23 °C and Sunny.
```

Note that MemoryContent object in the MemoryQuery events have useful
metadata like the score and id retrieved memories.

## Related issue number

<!-- For example: "Closes #1234" -->


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## Why are these changes needed?

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solves. -->
Typo in example text

## Related issue number

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## Why are these changes needed?

Fixes visual accessibility issues `(6) Luminosity contrast ratio of
focus indicator on 'Venv' control is less than 3:1.` and `(20) "Only
color is used to indicate the focus indicator on the 'Venv', and 'conda'
Tab controls."`

## Related issue number

#5633 

before:
<img width="162" alt="image"
src="https://github.com/user-attachments/assets/ac317e82-c82e-4d3b-910b-e9eb5d087340"
/>

![image](https://github.com/user-attachments/assets/2971043a-8b5b-4521-8135-c411c0ecab1f)

after:
<img width="160" alt="image"
src="https://github.com/user-attachments/assets/8053ae77-4d62-491b-9d78-657646ed71a6"
/>

![image](https://github.com/user-attachments/assets/5c3ac2c3-4813-461b-8958-4665860574a0)

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update human in the loop docs for agentchat  
..

> Outputs in docs are outdated as summary is not printed out by default
when using Console
[#5590](https://github.com/microsoft/autogen/issues/5590)

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## Why are these changes needed?

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solves. -->

## Related issue number

<!-- For example: "Closes #1234" -->
Closes #5590

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## Why are these changes needed?

Fixes `(14) Ensures the contrast between foreground and background
colors meets WCAG 2 AA minimum contrast ratio thresholds`

Note: the color values don't output at the exact values on the
stylesheet. For example, the value `#1774E5` evaluates to `#2274E0` by
the Accessibility Insights app.

## Related issue number

https://github.com/microsoft/autogen/issues/5633

## Checks

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This PR has 3 main improvements. 

- Token streaming 
- Adds support for environment variables in the app settings 
- Updates AGS to persist Gallery entry in db.

## Adds Token Streaming in AGS.  

Agentchat now supports streaming of tokens via
`ModelClientStreamingChunkEvent `. This PR is to track progress on
supporting that in the AutoGen Studio UI.

If `model_client_stream` is enabled in an assitant agent, then token
will be streamed in UI.

```python
streaming_assistant = AssistantAgent(
    name="assistant",
    model_client=model_client,
    system_message="You are a helpful assistant.",
    model_client_stream=True,  # Enable streaming tokens.
)

```

https://github.com/user-attachments/assets/74d43d78-6359-40c3-a78e-c84dcb5e02a1


## Env Variables 
Also adds support for env variables in AGS Settings

You can set env variables that are loaded just before a team is run.
Handy to set variable to be used by tools etc.

<img width="1291" alt="image"
src="https://github.com/user-attachments/assets/437b9d90-ccee-42f7-be5d-94ab191afd67"
/>


> Note: the set variables are available to the server process.

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## Why are these changes needed?

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solves. -->

## Related issue number

<!-- For example: "Closes #1234" -->
Closes #5627  
Closes #5662 
Closes #5619 

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Resolves #5408

Co-authored-by: Jack Gerrits <jackgerrits@users.noreply.github.com>

Resolves #5610

And address various questions regarding to how to use user proxy agent
and human-in-the-loop.

Replace the undefined `tools` variable with `tool_schema` parameter

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## Why are these changes needed?
This change keeps the documentation up to date :
https://microsoft.github.io/autogen/stable//user-guide/core-user-guide/components/tools.html

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## Related issue number

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Resolves #5640

## Why are these changes needed?

Fix minor issues in docs:
- probably editing left over
- typo
- code formatting inconsistency

## Related issue number

N/A

## Checks

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introduced in this PR.
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Co-authored-by: Jack Gerrits <jackgerrits@users.noreply.github.com>

Updates:
- added missing backtick for formatting class name
- typo in user response example

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

Fix typo in doc

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Fixing grammar issues

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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?

Just fixing a very minor typo I noticed while reading the docs.

`recpients` -> `recipients`

- 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.

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

Update AutoGen Studio link to stable page url

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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## Related issue number

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introduced in this PR.
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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.

Fix the installation instruction and add comments to the code.

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.

Some LLMs recieve an explicit signal about tool use failures. 

Closes #5273

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

Resolves #5358

---------

Co-authored-by: Ryan Sweet <rysweet@microsoft.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. -->


![teambuilder](https://github.com/user-attachments/assets/9eede334-7f60-4c87-bec6-cf41839ba231)


## Related issue number

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@nour-bouzid 

## Checks

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

Added a websocket example and link to the sample directory.

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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"
/>

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solves. -->

## Related issue number

Closes #5392

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

Fix typo in Swarm doc

The Tuple class is never used in CountDownAgent class.

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Co-authored-by: Victor Dibia <victordibia@microsoft.com>

Just fix typo

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Resolves #5322

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>