支持 OpenAI Chat 兼容协议 (#99)

* feat: 完成 openai 接口兼容

* feat: 完成 openai 协议兼容

* fix: 修复测试用例

src/services/api/openai/index.ts

@@ -0,0 +1,208 @@
+import type { BetaToolUnion } from '@anthropic-ai/sdk/resources/beta/messages/messages.mjs'
+import type { SystemPrompt } from '../../../utils/systemPromptType.js'
+import type { Message, StreamEvent, SystemAPIErrorMessage, AssistantMessage } from '../../../types/message.js'
+import type { Tools } from '../../../Tool.js'
+import { getOpenAIClient } from './client.js'
+import { anthropicMessagesToOpenAI } from './convertMessages.js'
+import { anthropicToolsToOpenAI, anthropicToolChoiceToOpenAI } from './convertTools.js'
+import { adaptOpenAIStreamToAnthropic } from './streamAdapter.js'
+import { resolveOpenAIModel } from './modelMapping.js'
+import { normalizeMessagesForAPI } from '../../../utils/messages.js'
+import { toolToAPISchema } from '../../../utils/api.js'
+import { getEmptyToolPermissionContext } from '../../../Tool.js'
+import { logForDebugging } from '../../../utils/debug.js'
+import type { Options } from '../claude.js'
+import { randomUUID } from 'crypto'
+import {
+  createAssistantAPIErrorMessage,
+  normalizeContentFromAPI,
+} from '../../../utils/messages.js'
+
+/**
+ * OpenAI-compatible query path. Converts Anthropic-format messages/tools to
+ * OpenAI format, calls the OpenAI-compatible endpoint, and converts the
+ * SSE stream back to Anthropic BetaRawMessageStreamEvent for consumption
+ * by the existing query pipeline.
+ */
+export async function* queryModelOpenAI(
+  messages: Message[],
+  systemPrompt: SystemPrompt,
+  tools: Tools,
+  signal: AbortSignal,
+  options: Options,
+): AsyncGenerator<
+  StreamEvent | AssistantMessage | SystemAPIErrorMessage,
+  void
+> {
+  try {
+    // 1. Resolve model name
+    const openaiModel = resolveOpenAIModel(options.model)
+
+    // 2. Normalize messages using shared preprocessing
+    const messagesForAPI = normalizeMessagesForAPI(messages, tools)
+
+    // 3. Build tool schemas
+    const toolSchemas = await Promise.all(
+      tools.map(tool =>
+        toolToAPISchema(tool, {
+          getToolPermissionContext: options.getToolPermissionContext,
+          tools,
+          agents: options.agents,
+          allowedAgentTypes: options.allowedAgentTypes,
+          model: options.model,
+        }),
+      ),
+    )
+    // Filter out non-standard tools (server tools like advisor)
+    const standardTools = toolSchemas.filter(
+      (t): t is BetaToolUnion & { type: string } => {
+        const anyT = t as Record<string, unknown>
+        return anyT.type !== 'advisor_20260301' && anyT.type !== 'computer_20250124'
+      },
+    )
+
+    // 4. Convert messages and tools to OpenAI format
+    const openaiMessages = anthropicMessagesToOpenAI(messagesForAPI, systemPrompt)
+    const openaiTools = anthropicToolsToOpenAI(standardTools)
+    const openaiToolChoice = anthropicToolChoiceToOpenAI(options.toolChoice)
+
+    // 5. Get client and make streaming request
+    const client = getOpenAIClient({
+      maxRetries: 0,
+      fetchOverride: options.fetchOverride,
+      source: options.querySource,
+    })
+
+    logForDebugging(`[OpenAI] Calling model=${openaiModel}, messages=${openaiMessages.length}, tools=${openaiTools.length}`)
+
+    // 6. Call OpenAI API with streaming
+    const stream = await client.chat.completions.create(
+      {
+        model: openaiModel,
+        messages: openaiMessages,
+        ...(openaiTools.length > 0 && {
+          tools: openaiTools,
+          ...(openaiToolChoice && { tool_choice: openaiToolChoice }),
+        }),
+        stream: true,
+        stream_options: { include_usage: true },
+        ...(options.temperatureOverride !== undefined && {
+          temperature: options.temperatureOverride,
+        }),
+      },
+      {
+        signal,
+      },
+    )
+
+    // 7. Convert OpenAI stream to Anthropic events, then process into
+    //    AssistantMessage + StreamEvent (matching the Anthropic path behavior)
+    const adaptedStream = adaptOpenAIStreamToAnthropic(stream, openaiModel)
+
+    // Accumulate content blocks and usage, same as the Anthropic path in claude.ts
+    const contentBlocks: Record<number, any> = {}
+    let partialMessage: any = undefined
+    let usage = {
+      input_tokens: 0,
+      output_tokens: 0,
+      cache_creation_input_tokens: 0,
+      cache_read_input_tokens: 0,
+    }
+    let ttftMs = 0
+    const start = Date.now()
+
+    for await (const event of adaptedStream) {
+      switch (event.type) {
+        case 'message_start': {
+          partialMessage = (event as any).message
+          ttftMs = Date.now() - start
+          if ((event as any).message?.usage) {
+            usage = {
+              ...usage,
+              ...((event as any).message.usage),
+            }
+          }
+          break
+        }
+        case 'content_block_start': {
+          const idx = (event as any).index
+          const cb = (event as any).content_block
+          if (cb.type === 'tool_use') {
+            contentBlocks[idx] = { ...cb, input: '' }
+          } else if (cb.type === 'text') {
+            contentBlocks[idx] = { ...cb, text: '' }
+          } else if (cb.type === 'thinking') {
+            contentBlocks[idx] = { ...cb, thinking: '', signature: '' }
+          } else {
+            contentBlocks[idx] = { ...cb }
+          }
+          break
+        }
+        case 'content_block_delta': {
+          const idx = (event as any).index
+          const delta = (event as any).delta
+          const block = contentBlocks[idx]
+          if (!block) break
+          if (delta.type === 'text_delta') {
+            block.text = (block.text || '') + delta.text
+          } else if (delta.type === 'input_json_delta') {
+            block.input = (block.input || '') + delta.partial_json
+          } else if (delta.type === 'thinking_delta') {
+            block.thinking = (block.thinking || '') + delta.thinking
+          } else if (delta.type === 'signature_delta') {
+            block.signature = delta.signature
+          }
+          break
+        }
+        case 'content_block_stop': {
+          const idx = (event as any).index
+          const block = contentBlocks[idx]
+          if (!block || !partialMessage) break
+
+          const m: AssistantMessage = {
+            message: {
+              ...partialMessage,
+              content: normalizeContentFromAPI(
+                [block],
+                tools,
+                options.agentId,
+              ),
+            },
+            requestId: undefined,
+            type: 'assistant',
+            uuid: randomUUID(),
+            timestamp: new Date().toISOString(),
+          }
+          yield m
+          break
+        }
+        case 'message_delta': {
+          const deltaUsage = (event as any).usage
+          if (deltaUsage) {
+            usage = { ...usage, ...deltaUsage }
+          }
+          // Update the stop_reason on the last yielded message
+          // (we don't have a reference here, but the consumer handles this)
+          break
+        }
+        case 'message_stop':
+          break
+      }
+
+      // Also yield as StreamEvent for real-time display (matching Anthropic path)
+      yield {
+        type: 'stream_event',
+        event,
+        ...(event.type === 'message_start' ? { ttftMs } : undefined),
+      } as StreamEvent
+    }
+  } catch (error) {
+    const errorMessage = error instanceof Error ? error.message : String(error)
+    logForDebugging(`[OpenAI] Error: ${errorMessage}`, { level: 'error' })
+    yield createAssistantAPIErrorMessage({
+      content: `API Error: ${errorMessage}`,
+      apiError: 'api_error',
+      error: error instanceof Error ? error : new Error(String(error)),
+    })
+  }
+}