Update jsconfig.json and package.json to correct open-sse path references from relative to local directory.
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@@ -0,0 +1,239 @@
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import { register } from "../index.js";
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import { FORMATS } from "../formats.js";
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import { adjustMaxTokens } from "../helpers/maxTokensHelper.js";
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// Convert Claude request to OpenAI format
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function claudeToOpenAI(model, body, stream) {
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const result = {
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model: model,
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messages: [],
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stream: stream
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};
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// Max tokens
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if (body.max_tokens) {
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result.max_tokens = adjustMaxTokens(body);
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}
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// Temperature
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if (body.temperature !== undefined) {
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result.temperature = body.temperature;
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}
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// System message
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if (body.system) {
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const systemContent = Array.isArray(body.system)
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? body.system.map(s => s.text || "").join("\n")
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: body.system;
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if (systemContent) {
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result.messages.push({
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role: "system",
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content: systemContent
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});
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}
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}
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// Convert messages
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if (body.messages && Array.isArray(body.messages)) {
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for (let i = 0; i < body.messages.length; i++) {
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const msg = body.messages[i];
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const converted = convertClaudeMessage(msg);
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if (converted) {
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// Handle array of messages (multiple tool results)
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if (Array.isArray(converted)) {
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result.messages.push(...converted);
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} else {
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result.messages.push(converted);
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}
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}
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}
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}
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// Fix missing tool responses - OpenAI requires every tool_call to have a response
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fixMissingToolResponses(result.messages);
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// Tools
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if (body.tools && Array.isArray(body.tools)) {
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result.tools = body.tools.map(tool => ({
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type: "function",
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function: {
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name: tool.name,
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description: tool.description,
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parameters: tool.input_schema || { type: "object", properties: {} }
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}
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}));
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}
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// Tool choice
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if (body.tool_choice) {
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result.tool_choice = convertToolChoice(body.tool_choice);
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}
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return result;
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}
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// Fix missing tool responses - add empty responses for tool_calls without responses
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function fixMissingToolResponses(messages) {
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for (let i = 0; i < messages.length; i++) {
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const msg = messages[i];
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if (msg.role === "assistant" && msg.tool_calls && msg.tool_calls.length > 0) {
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const toolCallIds = msg.tool_calls.map(tc => tc.id);
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// Collect all tool response IDs that IMMEDIATELY follow this assistant message
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// Stop at any non-tool message (user or assistant)
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const respondedIds = new Set();
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let insertPosition = i + 1;
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for (let j = i + 1; j < messages.length; j++) {
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const nextMsg = messages[j];
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if (nextMsg.role === "tool" && nextMsg.tool_call_id) {
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respondedIds.add(nextMsg.tool_call_id);
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insertPosition = j + 1;
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} else {
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// Stop at any non-tool message (user or assistant)
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break;
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}
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}
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// Find missing responses and insert them
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const missingIds = toolCallIds.filter(id => !respondedIds.has(id));
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if (missingIds.length > 0) {
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const missingResponses = missingIds.map(id => ({
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role: "tool",
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tool_call_id: id,
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content: "[No response received]"
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}));
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// Insert missing responses at the correct position
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messages.splice(insertPosition, 0, ...missingResponses);
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// Adjust index to skip inserted messages
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i = insertPosition + missingResponses.length - 1;
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}
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}
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}
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}
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// Convert single Claude message - returns single message or array of messages
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function convertClaudeMessage(msg) {
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const role = msg.role === "user" || msg.role === "tool" ? "user" : "assistant";
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// Simple string content
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if (typeof msg.content === "string") {
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return { role, content: msg.content };
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}
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// Array content
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if (Array.isArray(msg.content)) {
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const parts = [];
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const toolCalls = [];
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const toolResults = [];
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for (const block of msg.content) {
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switch (block.type) {
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case "text":
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parts.push({ type: "text", text: block.text });
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break;
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case "image":
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if (block.source?.type === "base64") {
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parts.push({
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type: "image_url",
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image_url: {
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url: `data:${block.source.media_type};base64,${block.source.data}`
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}
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});
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}
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break;
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case "tool_use":
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toolCalls.push({
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id: block.id,
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type: "function",
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function: {
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name: block.name,
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arguments: JSON.stringify(block.input || {})
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}
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});
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break;
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case "tool_result":
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// Extract actual content from tool_result
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let resultContent = "";
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if (typeof block.content === "string") {
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resultContent = block.content;
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} else if (Array.isArray(block.content)) {
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// Claude tool_result content can be array of text blocks
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resultContent = block.content
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.filter(c => c.type === "text")
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.map(c => c.text)
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.join("\n") || JSON.stringify(block.content);
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} else if (block.content) {
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resultContent = JSON.stringify(block.content);
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}
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toolResults.push({
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role: "tool",
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tool_call_id: block.tool_use_id,
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content: resultContent
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});
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break;
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}
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}
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// If has tool results, return array of tool messages
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if (toolResults.length > 0) {
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// Also include text parts as user message if any
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if (parts.length > 0) {
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const textContent = parts.length === 1 && parts[0].type === "text"
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? parts[0].text
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: parts;
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return [...toolResults, { role: "user", content: textContent }];
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}
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return toolResults;
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}
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// If has tool calls, return assistant message with tool_calls
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if (toolCalls.length > 0) {
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const result = { role: "assistant" };
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if (parts.length > 0) {
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result.content = parts.length === 1 && parts[0].type === "text"
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? parts[0].text
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: parts;
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}
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result.tool_calls = toolCalls;
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return result;
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}
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// Return content
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if (parts.length > 0) {
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return {
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role,
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content: parts.length === 1 && parts[0].type === "text" ? parts[0].text : parts
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};
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}
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// Empty content array - return empty string content to keep message in conversation
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if (msg.content.length === 0) {
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return { role, content: "" };
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}
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}
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return null;
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}
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// Convert tool choice
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function convertToolChoice(choice) {
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if (!choice) return "auto";
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if (typeof choice === "string") return choice;
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switch (choice.type) {
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case "auto": return "auto";
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case "any": return "required";
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case "tool": return { type: "function", function: { name: choice.name } };
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default: return "auto";
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}
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}
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// Register
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register(FORMATS.CLAUDE, FORMATS.OPENAI, claudeToOpenAI, null);
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@@ -0,0 +1,154 @@
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import { register } from "../index.js";
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import { FORMATS } from "../formats.js";
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import { adjustMaxTokens } from "../helpers/maxTokensHelper.js";
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// Convert Gemini request to OpenAI format
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function geminiToOpenAI(model, body, stream) {
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const result = {
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model: model,
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messages: [],
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stream: stream
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};
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// Generation config
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if (body.generationConfig) {
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const config = body.generationConfig;
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if (config.maxOutputTokens) {
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// Create temporary body object for adjustMaxTokens
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const tempBody = { max_tokens: config.maxOutputTokens, tools: body.tools };
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result.max_tokens = adjustMaxTokens(tempBody);
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}
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if (config.temperature !== undefined) {
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result.temperature = config.temperature;
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}
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if (config.topP !== undefined) {
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result.top_p = config.topP;
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}
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}
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// System instruction
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if (body.systemInstruction) {
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const systemText = extractGeminiText(body.systemInstruction);
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if (systemText) {
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result.messages.push({
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role: "system",
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content: systemText
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});
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}
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}
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// Convert contents to messages
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if (body.contents && Array.isArray(body.contents)) {
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for (const content of body.contents) {
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const converted = convertGeminiContent(content);
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if (converted) {
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result.messages.push(converted);
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}
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}
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}
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// Tools
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if (body.tools && Array.isArray(body.tools)) {
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result.tools = [];
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for (const tool of body.tools) {
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if (tool.functionDeclarations) {
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for (const func of tool.functionDeclarations) {
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result.tools.push({
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type: "function",
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function: {
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name: func.name,
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description: func.description || "",
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parameters: func.parameters || { type: "object", properties: {} }
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}
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});
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}
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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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// Convert Gemini content to OpenAI message
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function convertGeminiContent(content) {
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const role = content.role === "user" ? "user" : "assistant";
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if (!content.parts || !Array.isArray(content.parts)) {
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return null;
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}
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const parts = [];
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const toolCalls = [];
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for (const part of content.parts) {
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// Text
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if (part.text !== undefined) {
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parts.push({ type: "text", text: part.text });
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}
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// Image
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if (part.inlineData) {
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parts.push({
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type: "image_url",
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image_url: {
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url: `data:${part.inlineData.mimeType};base64,${part.inlineData.data}`
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}
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});
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}
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// Function call
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if (part.functionCall) {
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toolCalls.push({
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id: `call_${Date.now()}_${Math.random().toString(36).slice(2, 8)}`,
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type: "function",
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function: {
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name: part.functionCall.name,
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arguments: JSON.stringify(part.functionCall.args || {})
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}
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});
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}
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// Function response - use id if available, fallback to name
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if (part.functionResponse) {
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return {
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role: "tool",
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tool_call_id: part.functionResponse.id || part.functionResponse.name,
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content: JSON.stringify(part.functionResponse.response?.result || part.functionResponse.response || {})
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};
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}
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}
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// Has tool calls
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if (toolCalls.length > 0) {
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const result = { role: "assistant" };
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if (parts.length > 0) {
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result.content = parts.length === 1 ? parts[0].text : parts;
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}
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result.tool_calls = toolCalls;
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return result;
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}
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// Regular message
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if (parts.length > 0) {
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return {
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role,
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content: parts.length === 1 && parts[0].type === "text" ? parts[0].text : parts
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};
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}
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return null;
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}
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// Extract text from Gemini content
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function extractGeminiText(content) {
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if (typeof content === "string") return content;
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if (content.parts && Array.isArray(content.parts)) {
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return content.parts.map(p => p.text || "").join("");
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}
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return "";
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}
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// Register
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register(FORMATS.GEMINI, FORMATS.OPENAI, geminiToOpenAI, null);
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register(FORMATS.GEMINI_CLI, FORMATS.OPENAI, geminiToOpenAI, null);
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@@ -0,0 +1,140 @@
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/**
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* Translator: OpenAI Responses API → OpenAI Chat Completions
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*
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* Responses API uses: { input: [...], instructions: "..." }
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* Chat API uses: { messages: [...] }
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*/
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import { register } from "../index.js";
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import { FORMATS } from "../formats.js";
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/**
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* Convert OpenAI Responses API request to OpenAI Chat Completions format
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*/
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function translateRequest(model, body, stream, credentials) {
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if (!body.input) return body;
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const result = { ...body };
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result.messages = [];
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// Convert instructions to system message
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if (body.instructions) {
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result.messages.push({ role: "system", content: body.instructions });
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}
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// Group items by conversation turn
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let currentAssistantMsg = null;
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let pendingToolResults = [];
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for (const item of body.input) {
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if (item.type === "message") {
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// Flush any pending assistant message with tool calls
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if (currentAssistantMsg) {
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result.messages.push(currentAssistantMsg);
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currentAssistantMsg = null;
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}
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// Flush pending tool results
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if (pendingToolResults.length > 0) {
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for (const tr of pendingToolResults) {
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result.messages.push(tr);
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}
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pendingToolResults = [];
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}
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// Convert content: input_text → text, output_text → text
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const content = Array.isArray(item.content)
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? item.content.map(c => {
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if (c.type === "input_text") return { type: "text", text: c.text };
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if (c.type === "output_text") return { type: "text", text: c.text };
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return c;
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})
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: item.content;
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result.messages.push({ role: item.role, content });
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}
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else if (item.type === "function_call") {
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// Start or append to assistant message with tool_calls
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if (!currentAssistantMsg) {
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currentAssistantMsg = {
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role: "assistant",
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content: null,
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tool_calls: []
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};
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}
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currentAssistantMsg.tool_calls.push({
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id: item.call_id,
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type: "function",
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function: {
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name: item.name,
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arguments: item.arguments
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}
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});
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}
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else if (item.type === "function_call_output") {
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// Flush assistant message first if exists
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if (currentAssistantMsg) {
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result.messages.push(currentAssistantMsg);
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currentAssistantMsg = null;
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}
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// Flush any pending tool results first
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if (pendingToolResults.length > 0) {
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for (const tr of pendingToolResults) {
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result.messages.push(tr);
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}
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pendingToolResults = [];
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}
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// Add tool result immediately (not pending)
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result.messages.push({
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role: "tool",
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tool_call_id: item.call_id,
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content: typeof item.output === "string" ? item.output : JSON.stringify(item.output)
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});
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}
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else if (item.type === "reasoning") {
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// Skip reasoning items - they are for display only
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continue;
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}
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}
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// Flush remaining
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if (currentAssistantMsg) {
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result.messages.push(currentAssistantMsg);
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}
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if (pendingToolResults.length > 0) {
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for (const tr of pendingToolResults) {
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result.messages.push(tr);
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}
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}
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// Tools are already in OpenAI format, just keep them
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// Responses API tools: { type: "function", name, description, parameters }
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// OpenAI tools: { type: "function", function: { name, description, parameters } }
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if (body.tools && Array.isArray(body.tools)) {
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result.tools = body.tools.map(tool => {
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// Already has function wrapper
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if (tool.function) return tool;
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// Responses API format: flatten to OpenAI format
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return {
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type: "function",
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function: {
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name: tool.name,
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||||
description: tool.description,
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||||
parameters: tool.parameters,
|
||||
strict: tool.strict
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||||
}
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||||
};
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||||
});
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}
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||||
// Cleanup Responses API specific fields
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||||
delete result.input;
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delete result.instructions;
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delete result.include;
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delete result.prompt_cache_key;
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||||
delete result.store;
|
||||
delete result.reasoning;
|
||||
|
||||
return result;
|
||||
}
|
||||
|
||||
// Register translator
|
||||
register(FORMATS.OPENAI_RESPONSES, FORMATS.OPENAI, translateRequest, null);
|
||||
|
||||
@@ -0,0 +1,372 @@
|
||||
import { register } from "../index.js";
|
||||
import { FORMATS } from "../formats.js";
|
||||
import { CLAUDE_SYSTEM_PROMPT } from "../../config/constants.js";
|
||||
import { adjustMaxTokens } from "../helpers/maxTokensHelper.js";
|
||||
|
||||
// Convert OpenAI request to Claude format
|
||||
function openaiToClaude(model, body, stream) {
|
||||
const result = {
|
||||
model: model,
|
||||
max_tokens: adjustMaxTokens(body),
|
||||
stream: stream
|
||||
};
|
||||
|
||||
// Temperature
|
||||
if (body.temperature !== undefined) {
|
||||
result.temperature = body.temperature;
|
||||
}
|
||||
|
||||
// Messages
|
||||
result.messages = [];
|
||||
const systemParts = [];
|
||||
|
||||
if (body.messages && Array.isArray(body.messages)) {
|
||||
// Extract system messages
|
||||
for (const msg of body.messages) {
|
||||
if (msg.role === "system") {
|
||||
systemParts.push(typeof msg.content === "string" ? msg.content : extractTextContent(msg.content));
|
||||
}
|
||||
}
|
||||
|
||||
// Filter out system messages for separate processing
|
||||
const nonSystemMessages = body.messages.filter(m => m.role !== "system");
|
||||
|
||||
// Process messages with merging logic
|
||||
// CRITICAL: tool_result must be in separate message immediately after tool_use
|
||||
let currentRole = undefined;
|
||||
let currentParts = [];
|
||||
|
||||
const flushCurrentMessage = () => {
|
||||
if (currentRole && currentParts.length > 0) {
|
||||
result.messages.push({ role: currentRole, content: currentParts });
|
||||
currentParts = [];
|
||||
}
|
||||
};
|
||||
|
||||
for (const msg of nonSystemMessages) {
|
||||
const newRole = (msg.role === "user" || msg.role === "tool") ? "user" : "assistant";
|
||||
const blocks = getContentBlocksFromMessage(msg);
|
||||
const hasToolUse = blocks.some(b => b.type === "tool_use");
|
||||
const hasToolResult = blocks.some(b => b.type === "tool_result");
|
||||
|
||||
// Separate tool_result from other content
|
||||
if (hasToolResult) {
|
||||
const toolResultBlocks = blocks.filter(b => b.type === "tool_result");
|
||||
const otherBlocks = blocks.filter(b => b.type !== "tool_result");
|
||||
|
||||
// Flush current message first
|
||||
flushCurrentMessage();
|
||||
|
||||
// Add tool_result as separate user message
|
||||
if (toolResultBlocks.length > 0) {
|
||||
result.messages.push({ role: "user", content: toolResultBlocks });
|
||||
}
|
||||
|
||||
// Add other blocks to current parts for next message
|
||||
if (otherBlocks.length > 0) {
|
||||
currentRole = newRole;
|
||||
currentParts.push(...otherBlocks);
|
||||
}
|
||||
continue;
|
||||
}
|
||||
|
||||
if (currentRole !== newRole) {
|
||||
flushCurrentMessage();
|
||||
currentRole = newRole;
|
||||
}
|
||||
|
||||
currentParts.push(...blocks);
|
||||
|
||||
if (hasToolUse) {
|
||||
flushCurrentMessage();
|
||||
}
|
||||
}
|
||||
|
||||
flushCurrentMessage();
|
||||
|
||||
// Add cache_control to last assistant message (like worker.old)
|
||||
for (let i = result.messages.length - 1; i >= 0; i--) {
|
||||
const message = result.messages[i];
|
||||
if (message.role === "assistant" && Array.isArray(message.content) && message.content.length > 0) {
|
||||
const lastBlock = message.content[message.content.length - 1];
|
||||
if (lastBlock) {
|
||||
lastBlock.cache_control = { type: "ephemeral" };
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// System with Claude Code prompt and cache_control
|
||||
const claudeCodePrompt = { type: "text", text: CLAUDE_SYSTEM_PROMPT };
|
||||
|
||||
if (systemParts.length > 0) {
|
||||
const systemText = systemParts.join("\n");
|
||||
result.system = [
|
||||
claudeCodePrompt,
|
||||
{ type: "text", text: systemText, cache_control: { type: "ephemeral", ttl: "1h" } }
|
||||
];
|
||||
} else {
|
||||
result.system = [claudeCodePrompt];
|
||||
}
|
||||
|
||||
// Tools - convert from OpenAI format to Claude format
|
||||
if (body.tools && Array.isArray(body.tools)) {
|
||||
result.tools = body.tools.map(tool => {
|
||||
// Handle both OpenAI format {type: "function", function: {...}} and direct format
|
||||
const toolData = tool.type === "function" && tool.function ? tool.function : tool;
|
||||
return {
|
||||
name: toolData.name,
|
||||
description: toolData.description || "",
|
||||
input_schema: toolData.parameters || toolData.input_schema || { type: "object", properties: {}, required: [] }
|
||||
};
|
||||
});
|
||||
|
||||
// Add cache control to last tool (like worker.old)
|
||||
if (result.tools.length > 0) {
|
||||
result.tools[result.tools.length - 1].cache_control = { type: "ephemeral", ttl: "1h" };
|
||||
}
|
||||
|
||||
// console.log("[CLAUDE TOOLS DEBUG] Converted tools:", result.tools.map(t => t.name));
|
||||
}
|
||||
|
||||
// Tool choice
|
||||
if (body.tool_choice) {
|
||||
result.tool_choice = convertOpenAIToolChoice(body.tool_choice);
|
||||
}
|
||||
|
||||
return result;
|
||||
}
|
||||
|
||||
// Convert OpenAI request to Gemini format
|
||||
function openaiToGemini(model, body, stream) {
|
||||
const result = {
|
||||
contents: [],
|
||||
generationConfig: {}
|
||||
};
|
||||
|
||||
// Generation config
|
||||
if (body.max_tokens) {
|
||||
result.generationConfig.maxOutputTokens = body.max_tokens;
|
||||
}
|
||||
if (body.temperature !== undefined) {
|
||||
result.generationConfig.temperature = body.temperature;
|
||||
}
|
||||
if (body.top_p !== undefined) {
|
||||
result.generationConfig.topP = body.top_p;
|
||||
}
|
||||
|
||||
// Messages
|
||||
if (body.messages && Array.isArray(body.messages)) {
|
||||
for (const msg of body.messages) {
|
||||
if (msg.role === "system") {
|
||||
result.systemInstruction = {
|
||||
parts: [{ text: typeof msg.content === "string" ? msg.content : extractTextContent(msg.content) }]
|
||||
};
|
||||
} else if (msg.role === "tool") {
|
||||
result.contents.push({
|
||||
role: "function",
|
||||
parts: [{
|
||||
functionResponse: {
|
||||
name: msg.tool_call_id,
|
||||
response: tryParseJSON(msg.content)
|
||||
}
|
||||
}]
|
||||
});
|
||||
} else {
|
||||
const converted = convertOpenAIToGeminiContent(msg);
|
||||
if (converted) {
|
||||
result.contents.push(converted);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Tools
|
||||
if (body.tools && Array.isArray(body.tools)) {
|
||||
const validTools = body.tools.filter(tool => tool && tool.function && tool.function.name);
|
||||
if (validTools.length > 0) {
|
||||
result.tools = [{
|
||||
functionDeclarations: validTools.map(tool => ({
|
||||
name: tool.function.name,
|
||||
description: tool.function.description || "",
|
||||
parameters: tool.function.parameters || { type: "object", properties: {} }
|
||||
}))
|
||||
}];
|
||||
}
|
||||
}
|
||||
|
||||
return result;
|
||||
}
|
||||
|
||||
// Get content blocks from single message (like src.cc getContentBlocksFromMessage)
|
||||
function getContentBlocksFromMessage(msg) {
|
||||
const blocks = [];
|
||||
|
||||
if (msg.role === "tool") {
|
||||
blocks.push({
|
||||
type: "tool_result",
|
||||
tool_use_id: msg.tool_call_id,
|
||||
content: msg.content
|
||||
});
|
||||
} else if (msg.role === "user") {
|
||||
if (typeof msg.content === "string") {
|
||||
if (msg.content) {
|
||||
blocks.push({ type: "text", text: msg.content });
|
||||
}
|
||||
} else if (Array.isArray(msg.content)) {
|
||||
for (const part of msg.content) {
|
||||
if (part.type === "text" && part.text) {
|
||||
blocks.push({ type: "text", text: part.text });
|
||||
} else if (part.type === "tool_result") {
|
||||
blocks.push({
|
||||
type: "tool_result",
|
||||
tool_use_id: part.tool_use_id,
|
||||
content: part.content,
|
||||
...(part.is_error && { is_error: part.is_error })
|
||||
});
|
||||
} else if (part.type === "image_url") {
|
||||
const url = part.image_url.url;
|
||||
const match = url.match(/^data:([^;]+);base64,(.+)$/);
|
||||
if (match) {
|
||||
blocks.push({
|
||||
type: "image",
|
||||
source: { type: "base64", media_type: match[1], data: match[2] }
|
||||
});
|
||||
}
|
||||
} else if (part.type === "image" && part.source) {
|
||||
blocks.push({ type: "image", source: part.source });
|
||||
}
|
||||
}
|
||||
}
|
||||
} else if (msg.role === "assistant") {
|
||||
// Handle Anthropic format: content is array with tool_use blocks
|
||||
if (Array.isArray(msg.content)) {
|
||||
for (const part of msg.content) {
|
||||
if (part.type === "text" && part.text) {
|
||||
blocks.push({ type: "text", text: part.text });
|
||||
} else if (part.type === "tool_use") {
|
||||
blocks.push({ type: "tool_use", id: part.id, name: part.name, input: part.input });
|
||||
}
|
||||
}
|
||||
} else if (msg.content) {
|
||||
const text = typeof msg.content === "string" ? msg.content : extractTextContent(msg.content);
|
||||
if (text) {
|
||||
blocks.push({ type: "text", text });
|
||||
}
|
||||
}
|
||||
|
||||
// Handle OpenAI format: tool_calls array
|
||||
if (msg.tool_calls && Array.isArray(msg.tool_calls)) {
|
||||
for (const tc of msg.tool_calls) {
|
||||
if (tc.type === "function") {
|
||||
blocks.push({
|
||||
type: "tool_use",
|
||||
id: tc.id,
|
||||
name: tc.function.name,
|
||||
input: tryParseJSON(tc.function.arguments)
|
||||
});
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return blocks;
|
||||
}
|
||||
|
||||
// Convert single OpenAI message to Claude format (for backward compatibility)
|
||||
function convertOpenAIMessage(msg) {
|
||||
const role = msg.role === "assistant" ? "assistant" : "user";
|
||||
const content = convertOpenAIMessageContent(msg);
|
||||
|
||||
if (content.length === 0) return null;
|
||||
|
||||
return { role, content };
|
||||
}
|
||||
|
||||
// Convert OpenAI message to Gemini content
|
||||
function convertOpenAIToGeminiContent(msg) {
|
||||
const role = msg.role === "assistant" ? "model" : "user";
|
||||
const parts = [];
|
||||
|
||||
// Text content
|
||||
if (typeof msg.content === "string") {
|
||||
if (msg.content) {
|
||||
parts.push({ text: msg.content });
|
||||
}
|
||||
} else if (Array.isArray(msg.content)) {
|
||||
for (const part of msg.content) {
|
||||
if (part.type === "text") {
|
||||
parts.push({ text: part.text });
|
||||
} else if (part.type === "image_url") {
|
||||
const url = part.image_url.url;
|
||||
if (url.startsWith("data:")) {
|
||||
const match = url.match(/^data:([^;]+);base64,(.+)$/);
|
||||
if (match) {
|
||||
parts.push({
|
||||
inlineData: {
|
||||
mimeType: match[1],
|
||||
data: match[2]
|
||||
}
|
||||
});
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Tool calls
|
||||
if (msg.tool_calls && Array.isArray(msg.tool_calls)) {
|
||||
for (const tc of msg.tool_calls) {
|
||||
parts.push({
|
||||
functionCall: {
|
||||
name: tc.function.name,
|
||||
args: tryParseJSON(tc.function.arguments)
|
||||
}
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
if (parts.length === 0) return null;
|
||||
|
||||
return { role, parts };
|
||||
}
|
||||
|
||||
// Convert tool choice
|
||||
function convertOpenAIToolChoice(choice) {
|
||||
if (!choice) return { type: "auto" };
|
||||
// Passthrough if already Claude format
|
||||
if (typeof choice === "object" && choice.type) return choice;
|
||||
if (choice === "auto" || choice === "none") return { type: "auto" };
|
||||
if (choice === "required") return { type: "any" };
|
||||
if (typeof choice === "object" && choice.function) {
|
||||
return { type: "tool", name: choice.function.name };
|
||||
}
|
||||
return { type: "auto" };
|
||||
}
|
||||
|
||||
// Extract text from content
|
||||
function extractTextContent(content) {
|
||||
if (typeof content === "string") return content;
|
||||
if (Array.isArray(content)) {
|
||||
return content.filter(c => c.type === "text").map(c => c.text).join("\n");
|
||||
}
|
||||
return "";
|
||||
}
|
||||
|
||||
// Try parse JSON
|
||||
function tryParseJSON(str) {
|
||||
if (typeof str !== "string") return str;
|
||||
try {
|
||||
return JSON.parse(str);
|
||||
} catch {
|
||||
return str;
|
||||
}
|
||||
}
|
||||
|
||||
// Register
|
||||
register(FORMATS.OPENAI, FORMATS.CLAUDE, openaiToClaude, null);
|
||||
register(FORMATS.OPENAI, FORMATS.GEMINI, openaiToGemini, null);
|
||||
register(FORMATS.OPENAI, FORMATS.GEMINI_CLI, openaiToGemini, null);
|
||||
|
||||
|
||||
Reference in new issue
Block a user