alfin06/swegent-issues-filtered huggingface dataset:
[Request] 請求支援最新 OpenAI o3-mini - 新增 "developer" 角色與 "reasoning_effort" 參數

### 🥰 Feature Description

過去 OpenAI 的 o1 模型與最新的 o3-mini 模型均已支援 developer 與 reasoning_effort 兩個參數，但目前 Lobechat 專案尚未納入這些改進。這項功能不僅在技術上具有前瞻性，也將對專案的推廣與市場影響產生深遠效益。因此，我們懇請將此功能整合進 Lobechat 專案，以提升整體效能與使用體驗。

### 🧐 Proposed Solution

為 o3-mini 模型 新增了 [reasoning_effort 參數](https://platform.openai.com/docs/api-reference/chat/create#chat-create-reasoning_effort)。

為 o3-mini 模型 新增了 [developer 訊息角色](https://platform.openai.com/docs/api-reference/chat/create#chat-create-messages)。

### 📝 Additional Information

[OpenAI o3-mini 公告](https://openai.com/index/openai-o3-mini/)

o3-mini Json 結構範例：
```json
{
  "model": "o3-mini",
  "messages": [
    {
      "role": "developer",
      "content": [
        {
          "type": "text",
          "text": "你是一位高度專業的程式碼分析大師。"
        }
      ]
    },
    {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "請給我 o3-mini 簡介。"
        }
      ]
    },
    {
      "role": "assistant",
      "content": [
        {
          "type": "text",
          "text": "o3-mini 為大型 O3 框架或系統的輕量化、精簡版本。它旨在提供完整 O3 套件的核心功能，同時保持簡潔與資源效率。由於其極低的佔用空間，o3-mini 使得在那些對低資源消耗與快速啟動時間要求極高的項目中，進行實驗、整合或部署變得更加容易。"
        }
      ]
    }
  ],
  "response_format": {
    "type": "text"
  },
  "reasoning_effort": "high"
}
```

Labels: released
State: closed
[Bug] Unsupported 'stream' Parameter Issue with o3-mini Model via GitHub Provider

### 📦 Environment

Docker

### 📌 Version

v1.49.5

### 💻 Operating System

macOS

### 🌐 Browser

Chrome

### 🐛 Bug Description

The error occurs when attempting to call the o3-mini model via the GitHub Provider, as the 'stream' parameter is set to true, which is unsupported for this model and must be set to false instead.

```json
{
  "error": {
    "code": "unsupported_value",
    "type": "invalid_request_error",
    "param": "stream",
    "message": "Unsupported value: 'stream' does not support true with this model. Supported values are: false.",
    "callstack": ""
  },
  "endpoint": "https://models.inference.ai.azure.com",
  "provider": "github"
}
```

### 📷 Recurrence Steps

_No response_

### 🚦 Expected Behavior

_No response_

### 📝 Additional Information

_No response_

Labels: released
State: closed
OllamaChatCompletionClient to support `thought` field in `CreateResult` for additional text in a tool call

Given #5500 has added support for the additional text produced by a model in a tool call in `OpenAIChatCompletionClient`, we should support the same for `OllamaChatCompletionClient` as well. 

Labels: help wanted, proj-extensions
State: closed
User Tool Confirmation Decision is not logged in Yolo, non interactive mode

### What happened?

User Tool Confirmation Decision is not logged in Yolo, non interactive mode. While these are the implicit accept mode and hence considered as Accept

### What did you expect to happen?

User Tool Confirmation Decision is not logged in Yolo, non interactive mode. While these are the implicit accept mode and hence considered as Accept

### Client information

<details>

```console
$ gemini /about
# paste output here
```

</details>


### Login information

_No response_

### Anything else we need to know?

_No response_

Labels: status/need-triage, priority/p0, area/platform
State: closed
[Bug] Fireworks API Fails to Connect

### 📦 Environment

Docker, Other

### 📌 Version

1.49.12 <local db - postgres version>

### 💻 Operating System

Windows, Ubuntu

### 🌐 Browser

Chrome, Edge, Firefox

### 🐛 Bug Description

The Fireworks.ai api does not work at all. Regardless of what API key is entered, the connection will fail. It appears the endpoint may be incorrect.

Have verified this on several machines on two different networks. Have verified no traffic is denied by firewall.

![Image](https://github.com/user-attachments/assets/d05fedaf-9cdc-4a6a-a986-19f30b104848)

### 📷 Recurrence Steps

Install and configure Lobe Chat Database Version.
Attempt to enter a Fireworks.ai api key and click the connection test button.

### 🚦 Expected Behavior

Entering the api key and clicking connect should allow use of the fireworks.ai provider.

### 📝 Additional Information

Have also attempted this on a regular base lobe-chat docker installation without the database with the same result.

Labels: released
State: closed
[Bug] 硅基流动的 R1 里面对于思维改成了reasoning_content 导致又没法显示深度思考内容

### 📦 部署环境

Docker

### 📌 软件版本

v1.49.12

### 💻 系统环境

macOS

### 🌐 浏览器

Edge

### 🐛 问题描述

昨晚硅基流动的 R1 里面对于思维改成了reasoning_content 导致又没法显示深度思考内容了，昨天调用他们接口还正常显示的。

### 📷 复现步骤

_No response_

### 🚦 期望结果

_No response_

### 📝 补充信息

_No response_

Labels: released
State: closed
Add Default Model Client in AGS

Add Default Model Client in AGS that can be used for several house keeping issues e.g,

- Automatically summarise the session title in playground #3515 
- Automatically generate components (future capability)

## How 

- Add as feature to app settings in DB 
- Allow users view/modify default model in settings 

Labels: proj-studio
State: closed
"Object of type MemoryMimeType is not JSON serializable" for TeamChat with Agent having memory

### What happened?

**Describe the bug**
In a RoundRobinGroupChat with Agent(s) with memory, the team save_state() is not Json serializable to save as Json file. Below is the error.

"Object of type MemoryMimeType is not JSON serializable".


**To Reproduce**
Create a RoundRobinGroupChat with an Agent having memory (not None), Execute it and save the team state in persistent json file.

**Expected behavior**
Should have been saved into the JSON file as Agents or RoundRobinGroupChat  without memory.




### Which packages was the bug in?

Python AgentChat (autogen-agentchat>=0.4.0), Python Core (autogen-core)

### AutoGen library version.

Python dev (main branch)

### Other library version.

_No response_

### Model used

_No response_

### Model provider

None

### Other model provider

_No response_

### Python version

None

### .NET version

None

### Operating system

None

State: closed
[Bug] 使用o3-mini出现Unsupported parameter: 'temperature' is not supported with this model."

### 📦 部署环境

Docker

### 📌 软件版本

1.49.12

### 💻 系统环境

Android

### 🌐 浏览器

Other

### 🐛 问题描述

使用o3-mini出现Unsupported parameter: 'temperature' is not supported with this model."

### 📷 复现步骤

使用o3-mini出现Unsupported parameter: 'temperature' is not supported with this model."

### 🚦 期望结果

如何正常使用o3-mini

### 📝 补充信息

无

Labels: released
State: closed
[Bug] 在服务商列表中删除再添加模型后无法自动识别模型能力

### 📦 Environment

Docker

### 📌 Version

1.49.16

### 💻 Operating System

Other Linux

### 🌐 Browser

Edge

### 🐛 Bug Description

我使用本地部署的newapi来转发所有的api。1.94.x版本中我在服务商页面中删除了所有的模型然后重新获取模型列表和添加模型，发现在首页模型能力等没有加载出来，创建一个新用户可以看到模型能力

![Image](https://github.com/user-attachments/assets/e642dd6e-b396-4e71-bac4-d1f047189fa2)

![Image](https://github.com/user-attachments/assets/5677f014-8724-438c-bf67-f5b1b6d51e96)
下面是新建用户的界面

![Image](https://github.com/user-attachments/assets/59e28691-a9bb-4b57-9928-0d04c3e02e49)

![Image](https://github.com/user-attachments/assets/06da7b2e-10ef-4262-a6c5-c8103be4bc89)
我尝试了重置选项依然没有变化

### 📷 Recurrence Steps

_No response_

### 🚦 Expected Behavior

_No response_

### 📝 Additional Information

_No response_

Labels: released, Model Provider
State: closed
[Request] hope support searxng live searching

### 🥰 需求描述

add Live web search and browsing baseon searxng API Base URL,
plugin on store only support google and bing,it's not fast and full configurable
searxng is a opensource project which can deploy on local docker.

### 🧐 解决方案

add built in plugin agent live searching skills like anything llm

### 📝 补充信息

<img width="1510" alt="Image" src="https://github.com/user-attachments/assets/ca9a8a79-88ef-46f8-8453-1cd2fd7811f5" />
<img width="1512" alt="Image" src="https://github.com/user-attachments/assets/e2f3f88a-dcdc-4c9f-992b-0a84c331638e" />

Labels: released, feature:plugin, feature:search
State: closed
[Bug] `Unsupported value: 'messages[0].role' does not support 'developer' with this model` for o1-preview in Tier 2

### 📦 Environment

Other

### 📌 Version

1.50.0 (self-hosted)

### 💻 Operating System

Windows

### 🌐 Browser

Other

### 🐛 Bug Description

When I try to send a new message to a conversation hosted by  "o1-preview" or "o1-mini", I got an error like below.

```json
{
  "error": {
    "code": "unsupported_value",
    "type": "invalid_request_error",
    "param": "messages[0].role",
    "message": "Unsupported value: 'messages[0].role' does not support 'developer' with this model."
  },
  "endpoint": "https://api.openai.com/v1",
  "provider": "openai"
}
```

![Image](https://github.com/user-attachments/assets/c83f310a-49b3-4a99-a465-4ee924202b87)

I assume that this is likely to be caused by the changes in https://github.com/lobehub/lobe-chat/pull/5657 .
I got no errors when I was trying the same in `v1.49.16`.

- Environment: self-hosted (I build my own image with https://github.com/MaySoMusician/lobe-msm-build)
- Browser: Brave `Version 1.74.51 Chromium: 132.0.6834.160 (Official Build) (64-bit)`



### 📷 Recurrence Steps

1. Select "o1-preview" or "o1-mini" as a model.
2. Start a conversation.


### 🚦 Expected Behavior

Got no errors.

### 📝 Additional Information

If you need to pull my image, run `docker pull ghcr.io/maysomusician/lobe-msm-build:1429495`, but I believe that this can be caused in the official image.

Labels: released
State: closed
Support Anthropic Client in AutoGen v0.4 and Studio


Support Anthropic Client in AutoGen v0.4 
Expected behaviour below

```python


from dotenv import load_dotenv
import os 

load_dotenv()

from autogen_agentchat.agents import AssistantAgent
from autogen_agentchat.ui import Console
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.models.anthropic import AnthropicChatCompletionClient 
model_client =   AnthropicChatCompletionClient(
        model="claude-3-7-sonnet-20250219" 
    )

async def get_weather(city: str) -> str:
    """Get the weather for a given city."""
    return f"The weather in {city} is 73 degrees and Sunny."

 
agent = AssistantAgent(
    name="weather_agent",
    model_client=model_client,
    tools=[get_weather],
    system_message="You are a helpful assistant.", 
    # model_client_stream=True,   
)

# Run the agent and stream the messages to the console.
async def main() -> None:
    await Console(agent.run_stream(task="What is the weather in New York?"))
await main()

```

Labels: proj-core, proj-agentchat
State: closed
[Bug] 百度千帆模型不支持 deepseek-r1、deepseek-v3

### 📦 部署环境

Vercel

### 📌 软件版本

v1.50.1

### 💻 系统环境

macOS

### 🌐 浏览器

Chrome

### 🐛 问题描述

```
{
  "error": {
    "headers": {
      "p3p": "CP=\" OTI DSP COR IVA OUR IND COM \"",
      "date": "Tue, 04 Feb 2025 05:32:48 GMT",
      "vary": "Accept-Encoding",
      "server": "Apache",
      "connection": "keep-alive",
      "set-cookie": "BAIDUID=169D19096D53EF76D:FG=1; expires=Thu, 31-Dec-37 23:55:55 GMT; max-age=2145916555; path=/; domain=.baidubce.com; version=1",
      "content-type": "application/json",
      "content-encoding": "gzip",
      "transfer-encoding": "chunked",
      "x-baidu-request-id": "7ec901503f30f7dc03600983c32872841000249",
      "x-openapi-server-timestamp": "1738647168"
    },
    "error_msg": "Unsupported openapi method",
    "error_code": 3
  },
  "provider": "wenxin"
}
```

自定义 添加 deepseek 模型

### 📷 复现步骤

_No response_

### 🚦 期望结果

_No response_

### 📝 补充信息

_No response_

Labels: released
State: closed
Ability to Test Model Components in AGS

We have a few valuable debugging capabilities  in AGS today
- Abilitity to test agent teams in teambuilder 
- Automatic validation of entire team 

However, validation only gives us static checks for agent behavior (e.g a spec is valid .. valid provider, etc), it tells us nothing about actual functional behaviour e.g., an agent  might have the right provider, but have missing required fields eg a model client, or a model client look good but its baseulr incorrect etc.

This could be useful in the Gallery where developers can create components , test them and then reliably reuse them. 
This PR is meant to add the ability to run a component as a form of live test. 

Currently will focus on the ability to test model clients. Others can be tested relatively easily (e.g., agents) by using the test teams already available.


## How 

- Extend /validate endpoint to validate/test/component= component 
- For each coponent determine how we will test
   - agent - task.run("what is x")
   - model - model.create ("hi there") 
   - tools - tool.run ...

Labels: proj-studio
State: closed
LLMStreamStartEvent and LLMStreamEndEvent for autogen_core.logging

### Confirmation

- [x] I confirm that I am a maintainer and so can use this template. If I am not, I understand this issue will be closed and I will be asked to use a different template.

### Issue body

We need to create new events:
- `LLMStreamStartEvent`
- `LLMStreamEndEvent`

in `autogen_core.logging`. 

Then, emit these events from model clients in their `create_stream` methods:
- `OpenAIChatCompletionClient` and `Azure...`
- `AzureAIChatCompletionClient`
- `OllamaChatCompletionClient`
- `AnthropicChatCompletionClient`
- `SKChatCompletionAdapter`



Labels: logging, proj-core, proj-extensions
State: closed
AssistantAgent should raise warning when reflection_on_tool_use=True and model family is Claude

In addition, the warning message should explain how to perform reflection on tool usage with anthropic model client. 

It should be based on the text termination condition: #5732, and point to the relevant part of the documentation. 

> @lspinheiro @victordibia I think it is possible in the future Anthropic will support `tool_choice=None` just like OpenAI, or support not requiring the tools field when there is tool usage in the message history. 
> 
> Before that happens, in `AssistantAgent` we can use `model_info` of the model client to determine if the model belongs to the Claude family. In that case, we raise an exception when `reflect_on_tool_use=True`, in the constructor. 
> 
> So basically an `AssistantAgent` won't support reflection on tool usage when the model is Claude.  

 _Originally posted by @ekzhu in [#5675](https://github.com/microsoft/autogen/issues/5675#issuecomment-2685983779)_

Labels: proj-agentchat
State: closed
`TextMessageTermination` Condition

### Confirmation

- [x] I confirm that I am a maintainer and so can use this template. If I am not, I understand this issue will be closed and I will be asked to use a different template.

### Issue body

A termination condition that stops the team when a `TextMessage` is emitted from a specific source, or any source.

For example, to terminate when a specific agent produced a `TextMessage`:

```python
TextMessageTermination(source="assistant")
```

To terminate when any agent produced a `TextMessage`

```python
TextMessageTermination()
```

- In `Swarm` group chat team, it is useful to terminate the team when an agent no longer hands off or producing tool call results. https://github.com/microsoft/autogen/issues/5611#issuecomment-2676776854
- In a single agent scenario, often useful to repeatedly call the same agent in a `RoundRobinGroupChat` until it stops producing tool call results. https://github.com/microsoft/autogen/issues/5621#issuecomment-2685121464


For example

```python
assistant = AssistantAgent(...)
team = RoundRobinGroupChat([assistant], termination_condition=TextMessageTermination())
result = team.run(...)
```


Labels: proj-agentchat
State: closed
NVIDIA Reranker component is nonfunctional without custom logic

### Feature Request

Allow the NVIDIA Reranker component to accept vector store search results as input.

### Motivation

The NVIDIA Reranker component does not work straight out-of-the-box. One must either edit the component to directly accept the search results from a vector database, or edit a vector database component to output a retriever. Retrievers were removed [as output from vector database components in this linked PR](https://github.com/langflow-ai/langflow/pull/4979). Reverting this change would go against current philosophy about composability; therefore, I will open a PR that allows the NVIDIA Reranker to accept Search Results from Vector Stores as input. This also allows us to change only one file, whereas reverting the change would require editing all vector store components.

Furthermore, the NVIDIA Reranker is marked as legacy but this should not be the case. There is veritable interest from various parties in keeping the Reranker updated and available for RAG applications.

### Your Contribution

[My fork.](https://github.com/brian-ogrady/langflow)

Labels: enhancement
State: closed
`streamText()` returns NaN for usage with @ai-sdk/xai

### Description

## Bug description
I encountered an issue while integrating the `xAI Grok provider`. When calling `streamText()`, the returned usage object has promptTokens, completionTokens, and totalTokens all set to `NaN`. Here is my code:
```ts
import { xai } from '@ai-sdk/xai';
import { streamText } from 'ai';

streamText({
    model: xai('grok-3-mini-beta'),
    messages: [{
        role: 'user',
        content: 'who are you'
    }],
    onFinish: async ({ usage }) => {
        console.log('Usage:', usage);
    },
}
```

Returns

``` 
Usage: {promptTokens: NaN, completionTokens: NaN, totalTokens: NaN}
```

## Info about my ai sdk version
```
"ai": "^4.3.5",
"@ai-sdk/xai": "^1.2.11",
```

Labels: ai/provider, support, provider/xai
State: closed
[Bug] 第三方渠道R1深度思考标签失效

### 📦 部署环境

Docker

### 📌 软件版本

1.49.9

### 💻 系统环境

Ubuntu

### 🌐 浏览器

Edge

### 🐛 问题描述

目前仅有Deepseek官方作为Provider的R1才会显示深度思考（其他自带的服务商获取模型后不显示，比如硅基流动），**且更新获取模型以后模型不自带Reasoning/functionCall标签，以及上下文长度标签（仅发生在Deepseek-R1/V3上，其他模型待证实，上下文标签仅于前台不显示）**，需要手动设置

### 📷 复现步骤

1.清空模型列表
2.更新模型列表
3.问题已复现

备注：服务商为硅基流动时稳定生效

### 🚦 期望结果

修复以上问题

### 📝 补充信息

_No response_

Labels: released, Model Provider
State: closed
[Bug] 火山引擎服务商不可用(火山引擎已接入Deepseek-R1)

### 📦 部署环境

Docker

### 📌 软件版本

1.49.9

### 💻 系统环境

Ubuntu

### 🌐 浏览器

Edge

### 🐛 问题描述

注：_豆包大模型_ 已经更改为 **火山引擎** ？


```
Route: [doubao] ProviderBizError: {
  code: 'InvalidEndpoint.NotFound',
  message: 'The request targeted an endpoint that does not exist or is invalid. Request id: 0217386810167267496f828e4b55008dbcbc157f9db9cedd9fe0c',
  param: '',
  type: 'NotFound'
}
```
```
Route: [doubao] 500: Error: 404 status code (no body)
    at C.generate (.next/server/edge-chunks/994.js:4:1795)
    at sX.makeStatusError (.next/server/edge-chunks/994.js:4:14952)
    at sX.makeRequest (.next/server/edge-chunks/994.js:4:15892)
    at async Object.models (.next/server/edge-chunks/85.js:9:4648)
    at async (.next/server/app/(backend)/webapi/chat/models/[provider]/route.js:1:795)
    at async el.do (.next/server/edge-chunks/864.js:5:10390)
    at async el.handle (.next/server/edge-chunks/864.js:5:12601)
    at async eT.handler (.next/server/edge-chunks/864.js:6:33522)
    at async U (.next/server/edge-chunks/864.js:6:4255) {
  status: 404,
  headers: {
  content-length: '0',
  date: 'Tue, 04 Feb 2025 15:16:15 GMT',
  server: 'istio-envoy'
},
  request_id: undefined,
  error: undefined,
  code: undefined,
  param: undefined,
  type: undefined
}
```

### 📷 复现步骤

是我的误解还是这俩其实是一个东西？
此外，豆包大模型不支持使用客户端请求模式

### 🚦 期望结果

修复以上问题

### 📝 补充信息

_No response_

Labels: released
State: closed
[Bug] 在模型管理器中点击更新Deepseek的模型列表后，模型列表中丢失Deepseek模型上下文长度与深度思考标志

### 📦 部署环境

Docker

### 📌 软件版本

v1.50.3 Docker 数据库版

### 💻 系统环境

Other Linux

### 🌐 浏览器

Chrome

### 🐛 问题描述

在启动env中设置的key，在此点击更新后，模型列表中**上下文数量**以及**深度思考**标志丢失，升级到v1.51.1依然无法解决问题。

![Image](https://github.com/user-attachments/assets/5d3c0d99-2f3e-492e-8d70-14c13e5d68f1)

![Image](https://github.com/user-attachments/assets/27847247-75f2-4d61-b952-d4f2f4d6c0e2)

---


### 📷 复现步骤

_No response_

### 🚦 期望结果

_No response_

### 📝 补充信息

_No response_

Labels: released
State: closed
Error when using Gemini : Unable to submit request because it has an empty text parameter

### What happened?

I am getting an error when using Open AI compatible API with Gemini model. The error is as follows: 
```openai.BadRequestError: Error code: 400 - [{'error': {'code': 400, 'message': 'Unable to submit request because it has an empty text parameter. Add a value to the parameter and try again. Learn more: https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/gemini', 'status': 'INVALID_ARGUMENT'}}]```

**Sample script to reproduce the error**
*API key needs to be updated in the following code for Gemini*
```from autogen_agentchat.teams import Swarm
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_agentchat.conditions import TextMentionTermination, HandoffTermination
from autogen_agentchat.agents import AssistantAgent
import asyncio
from autogen_agentchat.ui import Console

async def main() -> None:
    model_client = OpenAIChatCompletionClient(
        model="gemini-2.0-flash",
        base_url="https://generativelanguage.googleapis.com/v1beta/openai/",
        api_key=<API_KEY>,
        model_info={
            "vision": True,
            "function_calling": True,
            "json_output": True,
            "family": "unknown",
        },
    )

    calculator = AssistantAgent(
        name="calculator",
        description="Calculator agent whose task is to resolve mathematical expressions and give the output.",
        model_client=model_client,
        handoffs=["user"],
        reflect_on_tool_use=True,
        system_message="You are a calculator agent and your task is to solve mathematical expressions using BODMAS. Transfer to user if expression is not provided or is incorrect. Return `TERMINATE` once the calculation is done."
    )

    handoff_termination = HandoffTermination(target="user")
    text_termination = TextMentionTermination("TERMINATE")
    combined_termination = handoff_termination | text_termination

    team = Swarm(
        [calculator],
        termination_condition=combined_termination,
    )

    stream = team.run_stream(task="I need the output for the mathematical expression 2*3+6.")
    await Console(stream)
   
asyncio.run(main())
```

**The code is working fine with Open AI LLM but issue is occurring when integrating with Gemini. Following is the output obtained through GPT-4o for the same code:**
```---------- user ----------
I need the output for the mathematical expression 2*3+6.
---------- calculator ----------
To solve the expression \(2 \times 3 + 6\) using BODMAS (Brackets, Orders, Division and Multiplication, Addition and Subtraction), we first perform the multiplication, then the addition:

1. Multiply: \(2 \times 3 = 6\)
2. Add: \(6 + 6 = 12\)

So, the result is \(12\).

TERMINATE```


### Which packages was the bug in?

Python Extensions (autogen-ext)

### AutoGen library version.

Python 0.4.7

### Other library version.

_No response_

### Model used

gemini-2.0-flash

### Model provider

Google Gemini

### Other model provider

_No response_

### Python version

3.12

### .NET version

None

### Operating system

Windows

State: closed
[Request] 对于groq提供的deepseek模型,在对话时能否展开<深度思考>的标签按钮?

### 🥰 需求描述

1.在官网我看到了您的功能特性:
<实时思维链展示: 透明呈现 AI 的推理过程，让复杂问题的解决过程清晰可见>
![Image](https://github.com/user-attachments/assets/6cb10c89-9e63-4876-ad95-5f6c6134a5fd)
2.但是我部署的groq的deepseek的模型,在使用时,却没有深度思考的展示:

![Image](https://github.com/user-attachments/assets/3631b3da-e433-42d0-ad62-587ef5ab36a2)
回答过程,大量的深度思考的文字和时间都被折叠,让用户以为卡了,其实思考过程的详尽过程都无法展示.
要看到思考过程,还要点开这个<深度思考>标签:

![Image](https://github.com/user-attachments/assets/a9fc5752-c802-4a1e-a620-75d83659fb87)


### 🧐 解决方案

3.能否在部署时给出一个+extenddeepthink的选项,让模型在回答时,标签的深度思考展开并展现回答过程?也符合您官网所说的 <实时思维链展示: 透明呈现 AI 的推理过程，让复杂问题的解决过程清晰可见>特性

### 📝 补充信息

使用的模型:

![Image](https://github.com/user-attachments/assets/a66cd778-66ea-45d0-9ee8-6b603edc7a20)

Labels: released
State: closed