💄 style: add o1-preview and o1-mini model to github model provider

src/config/modelProviders/github.ts

@@ -139,6 +139,26 @@ const Github: ModelProviderCard = {
       tokens: 128_000,
       vision: true,
     },
+    {
+      description: 'Focused on advanced reasoning and solving complex problems, including math and science tasks. Ideal for applications that require deep contextual understanding and agentic workflows.',
+      displayName: 'OpenAI o1-preview',
+      enabled: true,
+      functionCall: false,
+      id: 'o1-preview',
+      maxOutput: 32_768,
+      tokens: 128_000,
+      vision: true,
+    },
+    {
+      description: 'Smaller, faster, and 80% cheaper than o1-preview, performs well at code generation and small context operations.',
+      displayName: 'OpenAI o1-mini',
+      enabled: true,
+      functionCall: false,
+      id: 'o1-mini',
+      maxOutput: 65_536,
+      tokens: 128_000,
+      vision: true,
+    },
     {
       description:
         'Same Phi-3-medium model, but with a larger context size for RAG or few shot prompting.',

src/libs/agent-runtime/github/index.ts

@@ -1,9 +1,40 @@
 import { AgentRuntimeErrorType } from '../error';
-import { ModelProvider } from '../types';
+import { ChatStreamPayload, ModelProvider, OpenAIChatMessage } from '../types';
 import { LobeOpenAICompatibleFactory } from '../utils/openaiCompatibleFactory';
 
+// TODO: 临时写法，后续要重构成 model card 展示配置
+export const o1Models = new Set([
+  'o1-preview',
+  'o1-mini',
+]);
+
+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,
+  stream: false,
+  temperature: 1,
+  top_p: 1,
+});
+
+
 export const LobeGithubAI = LobeOpenAICompatibleFactory({
   baseURL: 'https://models.inference.ai.azure.com',
+  chatCompletion: {
+    handlePayload: (payload) => {
+      const { model } = payload;
+
+      if (o1Models.has(model)) {
+        return pruneO1Payload(payload) as any;
+      }
+
+      return { ...payload, stream: payload.stream ?? true };
+    },
+  },
   debug: {
     chatCompletion: () => process.env.DEBUG_GITHUB_CHAT_COMPLETION === '1',
   },