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refactor: 提升 OpenAI 转换器和模型映射到 model-provider 包
- 搬入 OpenAI 消息转换(convertMessages)、工具转换(convertTools)、流适配(streamAdapter) - 搬入 OpenAI 和 Grok 模型映射(resolveOpenAIModel、resolveGrokModel) - 主项目文件改为 thin re-export proxy Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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import type { BetaToolUnion } from '@anthropic-ai/sdk/resources/beta/messages/messages.mjs'
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import type { ChatCompletionTool } from 'openai/resources/chat/completions/completions.mjs'
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/**
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* Convert Anthropic tool schemas to OpenAI function calling format.
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*
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* Anthropic: { name, description, input_schema }
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* OpenAI: { type: "function", function: { name, description, parameters } }
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*
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* Anthropic-specific fields (cache_control, defer_loading, etc.) are stripped.
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*/
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export function anthropicToolsToOpenAI(
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tools: BetaToolUnion[],
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): ChatCompletionTool[] {
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return tools
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.filter(tool => {
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// Only convert standard tools (skip server tools like computer_use, etc.)
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const toolType = (tool as unknown as { type?: string }).type
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return tool.type === 'custom' || !('type' in tool) || toolType !== 'server'
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})
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.map(tool => {
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// Handle the various tool shapes from Anthropic SDK
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const anyTool = tool as unknown as Record<string, unknown>
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const name = (anyTool.name as string) || ''
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const description = (anyTool.description as string) || ''
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const inputSchema = anyTool.input_schema as Record<string, unknown> | undefined
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return {
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type: 'function' as const,
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function: {
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name,
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description,
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parameters: sanitizeJsonSchema(inputSchema || { type: 'object', properties: {} }),
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},
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} satisfies ChatCompletionTool
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})
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}
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/**
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* Recursively sanitize a JSON Schema for OpenAI-compatible providers.
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*
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* Many OpenAI-compatible endpoints (Ollama, DeepSeek, vLLM, etc.) do not
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* support the `const` keyword in JSON Schema. Convert it to `enum` with a
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* single-element array, which is semantically equivalent.
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*/
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function sanitizeJsonSchema(schema: Record<string, unknown>): Record<string, unknown> {
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if (!schema || typeof schema !== 'object') return schema
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const result = { ...schema }
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// Convert `const` → `enum: [value]`
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if ('const' in result) {
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result.enum = [result.const]
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delete result.const
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}
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// Recursively process nested schemas
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const objectKeys = ['properties', 'definitions', '$defs', 'patternProperties'] as const
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for (const key of objectKeys) {
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const nested = result[key]
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if (nested && typeof nested === 'object') {
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const sanitized: Record<string, unknown> = {}
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for (const [k, v] of Object.entries(nested as Record<string, unknown>)) {
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sanitized[k] = v && typeof v === 'object' ? sanitizeJsonSchema(v as Record<string, unknown>) : v
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}
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result[key] = sanitized
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}
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}
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// Recursively process single-schema keys
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const singleKeys = ['items', 'additionalProperties', 'not', 'if', 'then', 'else', 'contains', 'propertyNames'] as const
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for (const key of singleKeys) {
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const nested = result[key]
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if (nested && typeof nested === 'object' && !Array.isArray(nested)) {
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result[key] = sanitizeJsonSchema(nested as Record<string, unknown>)
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}
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}
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// Recursively process array-of-schemas keys
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const arrayKeys = ['anyOf', 'oneOf', 'allOf'] as const
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for (const key of arrayKeys) {
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const nested = result[key]
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if (Array.isArray(nested)) {
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result[key] = nested.map(item =>
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item && typeof item === 'object' ? sanitizeJsonSchema(item as Record<string, unknown>) : item
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)
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}
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}
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return result
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}
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/**
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* Map Anthropic tool_choice to OpenAI tool_choice format.
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*
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* Anthropic → OpenAI:
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* - { type: "auto" } → "auto"
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* - { type: "any" } → "required"
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* - { type: "tool", name } → { type: "function", function: { name } }
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* - undefined → undefined (use provider default)
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*/
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export function anthropicToolChoiceToOpenAI(
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toolChoice: unknown,
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): string | { type: 'function'; function: { name: string } } | undefined {
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if (!toolChoice || typeof toolChoice !== 'object') return undefined
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const tc = toolChoice as Record<string, unknown>
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const type = tc.type as string
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switch (type) {
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case 'auto':
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return 'auto'
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case 'any':
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return 'required'
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case 'tool':
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return {
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type: 'function',
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function: { name: tc.name as string },
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}
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default:
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return undefined
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}
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}
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