✨ feat: add o3-mini support for OpenAI & GitHub Models

[hezhijie0327]

💻 变更类型 | Change Type

• ✨ feat
• 🐛 fix
• ♻️ refactor
• 💄 style
• 👷 build
• ⚡️ perf
• 📝 docs
• 🔨 chore

🔀 变更说明 | Description of Change

1. 增加 o3-mini 模型
2. 补齐数据库模式下 o1 模型丢失的问题
3. 重命名 o1Models -> reasoningModels
4. 重命名 pruneO1Payload -> pruneReasoningPayload
5. GitHub Models 中 o3-mini 禁用流式输出
6. 更新 o1-mini 价格，同 o3-mini
7. 将 system role 从 user 改为 developer
8. 增加 reasoning_effort 控制，可在 Agent 设置中启用（默认为禁用即不引入参数），启用后可选择 low medium high（默认为 medium）
9. 增加 Discover 中对 reasoning_effort 的描述，补齐文档

📝 补充信息 | Additional Information

功能	截图
对话
工具调用
System Prompt
Reasoning Effort
Discover

---

ref: https://platform.openai.com/docs/api-reference/chat/create#chat-create-messages

---

close #5644
close #5649
close #5643
close #5690

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TestGru Assignment

Summary

Link	CommitId	Status	Reason
Detail	96a1996	✅ Finished

Files

File	Pull Request
src/libs/agent-runtime/openai/index.ts	❌ Failure (I failed to write the unit tests for the file.)

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Codecov Report

Attention: Patch coverage is 94.59459% with 4 lines in your changes missing coverage. Please review.

Project coverage is 92.12%. Comparing base (58a86fc) to head (e79fe29).
Report is 5 commits behind head on main.

Files with missing lines	Patch %	Lines
src/libs/agent-runtime/openai/index.ts	71.42%	2 Missing ⚠️
src/libs/agent-runtime/github/index.ts	66.66%	1 Missing ⚠️
...store/chat/slices/aiChat/actions/generateAIChat.ts	80.00%	1 Missing ⚠️

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- Misses       4559     4560      +1     

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[Sen-CaPoo]

似乎還沒有對 調整思考時間(reasoning_effort) 參數進行處理，但可以確保 o3-mini 模型的基本運作(Defaults to medium)。
（o1 正式版,o3-mini 兩種模型支援此參數）

參考 #5643

[hezhijie0327]

加了个 UI 设置，但是会让所有模型都加上 reasoning_effort 改动项会比较多，看看有没有其他解法

[hezhijie0327]

@Sen-CaPoo 已支持，默认禁用，启用后将引入 reasoning_effort 并提供下拉框选择推理强度

[lobehubbot]

Bot detected the issue body's language is not English, translate it automatically. 👯👭🏻🧑‍🤝‍🧑👫🧑🏿‍🤝‍🧑🏻👩🏾‍🤝‍👨🏿👬🏿

---

@Sen-CaPoo has been supported and disabled by default. After use, it will be introduced to reasoning_effort and provide a drop-down box to select the reasoning strength

[Sen-CaPoo]

加了个 UI 设置，但是会让所有模型都加上 reasoning_effort 改动项会比较多，看看有没有其他解法

暫時解決方案這樣似乎已經滿足，畢竟不太會每一次對話都調整思考時間的選項；最終理想可能會是遇到 OpenAI 的思考模型會在對話輸入框上方的工具列出現一個快速選擇思考時間的工具。

[lobehubbot]

Bot detected the issue body's language is not English, translate it automatically. 👯👭🏻🧑‍🤝‍🧑👫🧑🏿‍🤝‍🧑🏻👩🏾‍🤝‍👨🏿👬🏿

---

Add a UI settings, but it will add more models to Reasoning_effort to change more, see if there are other solutions! [Image] (https://private- user-githubusercontent.com/58100052 /408841484-82FBF33F-6715-4bb3-8C03-DB8A14200C75.png?jwt=eyjhbgcioiji1niisinr5cci6ikpxVCJ9..Hzzxc01bwituzx8yc8ai2VMGBHBHBH M_nzpkm5po)! [Image] (https://private- user-images.githubusercontent.com/58100052/408841513-3AFB0E96-0f46-4F33 -AD85-7D32A137DBF0.PNG? JWT = Eyjhbgcioijiu1niisinr5CCI6IKPXVCJ9..PSOM1NRUG3XHluskqnr6ehpov5twnxlz-PE_2M)

! [Image] (https://github.com/user-attachments/aSSETS/E3DB6262-1C6B-4352-9a62-1402795402B5))))))))

The temporary solution seems to be satisfied. After all, it is not very good to adjust the option of thinking time every time; in the end, the ideal may be that the thinking model of the OpenAI thinks will appear in the toolbar of the dialogue input box. Essence

[Sun-drenched]

加了个 UI 设置，但是会让所有模型都加上 reasoning_effort 改动项会比较多，看看有没有其他解法

在 #5556 我评论下的讨论中，xu似乎说过他们有模型层面绑定参数的路线。

[lobehubbot]

Bot detected the issue body's language is not English, translate it automatically. 👯👭🏻🧑‍🤝‍🧑👫🧑🏿‍🤝‍🧑🏻👩🏾‍🤝‍👨🏿👬🏿

---

Add a UI settings, but it will add more models to Reasoning_effort to change more, see if there are other solutions! [Image] (https://private- user-githubusercontent.com/58100052 /408841484-82FBF33F-6715-4BB3 -8C03-DB8A14200C75.png?jwt=eyjhbgcioiji1niisinr5CCI6IKPXVCJ9-ku6l9Sgan99jdawl-Zu8fpy6n_ 5YOHFVGFQW)! [Image] (https://private- user-images.githubusercontent.com/58100052/408841513-3AFB0E96-0F46 -4F33-AD85-7D32A137DBF0.PNG? JWT = Eyjhbgcioijiu1niisinr5CCI6IKPXVCJ9..Zmqc41ceigz-EMXXFPUS1RDDDVELBETN82D9YPNMVYIA)

In the discussion under #5556, XU seemed to say that they had the route of binding parameters at the model level.

[Sun-drenched]

似乎推理模型大多不接受temperature、top_p、presence_penalty、frequency_penalty等常规模型参数（比如R1），所以建议在这个PR中一并提供推理模型禁用上述参数设置（UI中也置于不可用）的路径
另外还有一些模型的temperature不推荐用户修改（比如腾讯混元“模型已有默认参数，不传值时使用各模型推荐值，不推荐用户修改”），建议一并给出不传temperature参数的设置

[lobehubbot]

Bot detected the issue body's language is not English, translate it automatically. 👯👭🏻🧑‍🤝‍🧑👫🧑🏿‍🤝‍🧑🏻👩🏾‍🤝‍👨🏿👬🏿

---

It seems that most of the reasoning models do not accept conventional model parameters such as Temperature, TOP_P, Presence_Penalty, Frequency_Penalty (such as R1). Therefore

[hezhijie0327]

似乎推理模型大多不接受temperature、top_p、presence_penalty、frequency_penalty等常规模型参数（比如R1），所以建议在这个PR中一并提供推理模型禁用上述参数设置（UI中也置于不可用）的路径

我看了下 R1 和 o1 目前的策略一致，在使用推理模型时直接忽略这些参数，UI 如何设置都不影响后续传参

lobe-chat/src/libs/agent-runtime/deepseek/index.ts

Lines 38 to 56 in 2bec876

	return {
	...payload,
	model,
	...(model === 'deepseek-reasoner'
	? {
	frequency_penalty: undefined,
	messages: filteredMessages,
	presence_penalty: undefined,
	temperature: undefined,
	top_p: undefined,
	}
	: {
	frequency_penalty,
	messages,
	presence_penalty,
	temperature,
	top_p,
	}),
	} as OpenAI.ChatCompletionCreateParamsStreaming;

lobe-chat/src/libs/agent-runtime/openai/index.ts

Lines 14 to 24 in 2bec876

	export const pruneO1Payload = (payload: ChatStreamPayload) => ({
	...payload,
	frequency_penalty: 0,
	messages: payload.messages.map((message: OpenAIChatMessage) => ({
	...message,
	role: message.role === 'system' ? 'user' : message.role,
	})),
	presence_penalty: 0,
	temperature: 1,
	top_p: 1,
	});

[lobehubbot]

Bot detected the issue body's language is not English, translate it automatically. 👯👭🏻🧑‍🤝‍🧑👫🧑🏿‍🤝‍🧑🏻👩🏾‍🤝‍👨🏿👬🏿

---

It seems that most of the derived models do not accept conventional model parameters such as TEMPERATURE, TOP_P, Presence_Penalty, Frequency_Penalty (such as R1), so it is recommended to provide a path for the above parameters (in the UI is not available) in this PR.

I looked at the current strategies of R1 and O1. When using the reasoning model, I ignored these parameters directly. How to set up UI will not affect subsequent pass parameters.

[Sun-drenched]

似乎推理模型大多不接受temperature、top_p、presence_penalty、frequency_penalty等常规模型参数（比如R1），所以建议在这个PR中一并提供推理模型禁用上述参数设置（UI中也置于不可用）的路径

我看了下 R1 和 o1 目前的策略一致，在使用推理模型时直接忽略这些参数，UI 如何设置都不影响后续传参

lobe-chat/src/libs/agent-runtime/deepseek/index.ts

Lines 38 to 56 in 2bec876

	return {
	...payload,
	model,
	...(model === 'deepseek-reasoner'
	? {
	frequency_penalty: undefined,
	messages: filteredMessages,
	presence_penalty: undefined,
	temperature: undefined,
	top_p: undefined,
	}
	: {
	frequency_penalty,
	messages,
	presence_penalty,
	temperature,
	top_p,
	}),
	} as OpenAI.ChatCompletionCreateParamsStreaming;

lobe-chat/src/libs/agent-runtime/openai/index.ts

Lines 14 to 24 in 2bec876

	export const pruneO1Payload = (payload: ChatStreamPayload) => ({
	...payload,
	frequency_penalty: 0,
	messages: payload.messages.map((message: OpenAIChatMessage) => ({
	...message,
	role: message.role === 'system' ? 'user' : message.role,
	})),
	presence_penalty: 0,
	temperature: 1,
	top_p: 1,
	});

emmm，其实我的意思是在UI中给予参数不可用的提示，比如温度设置项直接置于不可点击等方式

[lobehubbot]

Bot detected the issue body's language is not English, translate it automatically. 👯👭🏻🧑‍🤝‍🧑👫🧑🏿‍🤝‍🧑🏻👩🏾‍🤝‍👨🏿👬🏿

---

It seems that most of the derived models do not accept conventional model parameters such as Temperature, TOP_P, Presence_Penalty, Frequency_Penalty (such as R1).
"
I looked at the current strategies of R1 and O1. When using the reasoning model, they ignored these parameters directly. How to set up UI will not affect subsequent pass parameters.
"
https://github.com/lobehub/lobe- Chat/blob/2bec8766a5cb4F3223761756617C235B/Src/Libs/ager/deepseek/index.ts# L38-l56
"
https://github.com/lobehub/lobe- Chat/blob/2bec8766a5cb4F3223761756617C235B/SRC/Libs/ager/openai/index.ts#L14 -L24

EMMM, in fact, I mean that the parameters are not available in the UI, such as the temperature setting item is directly placed in the method of not clicking

[arvinxx]

ci 咋挂了

[lobehubbot]

Bot detected the issue body's language is not English, translate it automatically. 👯👭🏻🧑‍🤝‍🧑👫🧑🏿‍🤝‍🧑🏻👩🏾‍🤝‍👨🏿👬🏿

---

Ci hung up

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[hezhijie0327]

@arvinxx 重新拉了下主线就好了，看了下之前的报错好像是数据库测试超时

[lobehubbot]

❤️ Great PR @hezhijie0327 ❤️

The growth of project is inseparable from user feedback and contribution, thanks for your contribution! If you are interesting with the lobehub developer community, please join our discord and then dm @arvinxx or @canisminor1990. They will invite you to our private developer channel. We are talking about the lobe-chat development or sharing ai newsletter around the world.
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[lobehubbot]

🎉 This PR is included in version 1.50.0 🎉

The release is available on:

• npm package (@latest dist-tag)
• GitHub release

Your semantic-release bot 📦🚀

[SAnBlog]

v1.50.0 数据库版本镜像构建失败了

[hezhijie0327]

emmm 得点下重新构建

#27 343.8 Segmentation fault (core dumped)

[lobehubbot]

Bot detected the issue body's language is not English, translate it automatically. 👯👭🏻🧑‍🤝‍🧑👫🧑🏿‍🤝‍🧑🏻👩🏾‍🤝‍👨🏿👬🏿

---

EMMM has to be restarted down

` #27 343.8 segmentation fault (core dumped) `

[arvinxx]

callback 一下：o系列专有参数可以参考 claude 的交互设计来了：

#6515