Files
9router/open-sse/translator/to-openai/claude.js

240 lines
6.8 KiB
JavaScript

import { register } from "../index.js";
import { FORMATS } from "../formats.js";
import { adjustMaxTokens } from "../helpers/maxTokensHelper.js";
// Convert Claude request to OpenAI format
function claudeToOpenAI(model, body, stream) {
const result = {
model: model,
messages: [],
stream: stream
};
// Max tokens
if (body.max_tokens) {
result.max_tokens = adjustMaxTokens(body);
}
// Temperature
if (body.temperature !== undefined) {
result.temperature = body.temperature;
}
// System message
if (body.system) {
const systemContent = Array.isArray(body.system)
? body.system.map(s => s.text || "").join("\n")
: body.system;
if (systemContent) {
result.messages.push({
role: "system",
content: systemContent
});
}
}
// Convert messages
if (body.messages && Array.isArray(body.messages)) {
for (let i = 0; i < body.messages.length; i++) {
const msg = body.messages[i];
const converted = convertClaudeMessage(msg);
if (converted) {
// Handle array of messages (multiple tool results)
if (Array.isArray(converted)) {
result.messages.push(...converted);
} else {
result.messages.push(converted);
}
}
}
}
// Fix missing tool responses - OpenAI requires every tool_call to have a response
fixMissingToolResponses(result.messages);
// Tools
if (body.tools && Array.isArray(body.tools)) {
result.tools = body.tools.map(tool => ({
type: "function",
function: {
name: tool.name,
description: tool.description,
parameters: tool.input_schema || { type: "object", properties: {} }
}
}));
}
// Tool choice
if (body.tool_choice) {
result.tool_choice = convertToolChoice(body.tool_choice);
}
return result;
}
// Fix missing tool responses - add empty responses for tool_calls without responses
function fixMissingToolResponses(messages) {
for (let i = 0; i < messages.length; i++) {
const msg = messages[i];
if (msg.role === "assistant" && msg.tool_calls && msg.tool_calls.length > 0) {
const toolCallIds = msg.tool_calls.map(tc => tc.id);
// Collect all tool response IDs that IMMEDIATELY follow this assistant message
// Stop at any non-tool message (user or assistant)
const respondedIds = new Set();
let insertPosition = i + 1;
for (let j = i + 1; j < messages.length; j++) {
const nextMsg = messages[j];
if (nextMsg.role === "tool" && nextMsg.tool_call_id) {
respondedIds.add(nextMsg.tool_call_id);
insertPosition = j + 1;
} else {
// Stop at any non-tool message (user or assistant)
break;
}
}
// Find missing responses and insert them
const missingIds = toolCallIds.filter(id => !respondedIds.has(id));
if (missingIds.length > 0) {
const missingResponses = missingIds.map(id => ({
role: "tool",
tool_call_id: id,
content: "[No response received]"
}));
// Insert missing responses at the correct position
messages.splice(insertPosition, 0, ...missingResponses);
// Adjust index to skip inserted messages
i = insertPosition + missingResponses.length - 1;
}
}
}
}
// Convert single Claude message - returns single message or array of messages
function convertClaudeMessage(msg) {
const role = msg.role === "user" || msg.role === "tool" ? "user" : "assistant";
// Simple string content
if (typeof msg.content === "string") {
return { role, content: msg.content };
}
// Array content
if (Array.isArray(msg.content)) {
const parts = [];
const toolCalls = [];
const toolResults = [];
for (const block of msg.content) {
switch (block.type) {
case "text":
parts.push({ type: "text", text: block.text });
break;
case "image":
if (block.source?.type === "base64") {
parts.push({
type: "image_url",
image_url: {
url: `data:${block.source.media_type};base64,${block.source.data}`
}
});
}
break;
case "tool_use":
toolCalls.push({
id: block.id,
type: "function",
function: {
name: block.name,
arguments: JSON.stringify(block.input || {})
}
});
break;
case "tool_result":
// Extract actual content from tool_result
let resultContent = "";
if (typeof block.content === "string") {
resultContent = block.content;
} else if (Array.isArray(block.content)) {
// Claude tool_result content can be array of text blocks
resultContent = block.content
.filter(c => c.type === "text")
.map(c => c.text)
.join("\n") || JSON.stringify(block.content);
} else if (block.content) {
resultContent = JSON.stringify(block.content);
}
toolResults.push({
role: "tool",
tool_call_id: block.tool_use_id,
content: resultContent
});
break;
}
}
// If has tool results, return array of tool messages
if (toolResults.length > 0) {
// Also include text parts as user message if any
if (parts.length > 0) {
const textContent = parts.length === 1 && parts[0].type === "text"
? parts[0].text
: parts;
return [...toolResults, { role: "user", content: textContent }];
}
return toolResults;
}
// If has tool calls, return assistant message with tool_calls
if (toolCalls.length > 0) {
const result = { role: "assistant" };
if (parts.length > 0) {
result.content = parts.length === 1 && parts[0].type === "text"
? parts[0].text
: parts;
}
result.tool_calls = toolCalls;
return result;
}
// Return content
if (parts.length > 0) {
return {
role,
content: parts.length === 1 && parts[0].type === "text" ? parts[0].text : parts
};
}
// Empty content array - return empty string content to keep message in conversation
if (msg.content.length === 0) {
return { role, content: "" };
}
}
return null;
}
// Convert tool choice
function convertToolChoice(choice) {
if (!choice) return "auto";
if (typeof choice === "string") return choice;
switch (choice.type) {
case "auto": return "auto";
case "any": return "required";
case "tool": return { type: "function", function: { name: choice.name } };
default: return "auto";
}
}
// Register
register(FORMATS.CLAUDE, FORMATS.OPENAI, claudeToOpenAI, null);