initiale version

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2026-05-10 10:46:41 +02:00
commit deb0d5de9d
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// proxy.js - KOMPLETT, mit Tool-Call-Deduplizierung
const express = require('express');
const app = express();
const colors = {
reset: '\x1b[0m',
cyan: '\x1b[36m',
green: '\x1b[32m',
magenta: '\x1b[35m',
yellow: '\x1b[33m',
blue: '\x1b[34m',
red: '\x1b[31m'
};
app.use(express.json({ limit: '50mb' }));
function sanitizeToolSchema(schema) {
if (!schema || typeof schema !== 'object') {
return { type: 'object', properties: {} };
}
const clean = JSON.parse(JSON.stringify(schema));
if (!clean.type) clean.type = 'object';
if (!clean.properties) clean.properties = {};
return clean;
}
function convertAnthropicTools(anthropicTools) {
if (!anthropicTools || anthropicTools.length === 0) return [];
const validTools = [];
for (const tool of anthropicTools) {
try {
const ollamaTool = {
type: 'function',
function: {
name: tool.name,
description: (tool.description || '').substring(0, 500),
parameters: sanitizeToolSchema(tool.input_schema)
}
};
JSON.stringify(ollamaTool);
validTools.push(ollamaTool);
} catch (e) {
console.error(`${colors.red}[Tool Schema Error] ${e.message}${colors.reset}`);
}
}
return validTools;
}
function stringifyToolResultContent(content) {
if (Array.isArray(content)) {
return content
.map(c => {
if (typeof c === 'string') return c;
if (c?.text) return c.text;
return JSON.stringify(c);
})
.join('\n');
}
if (typeof content === 'string') return content;
return JSON.stringify(content);
}
// BUG 3 FIX: tool_use → Ollama tool_calls, tool_result → role:tool
function convertAnthropicToOllama(anthropicBody) {
const ollamaMessages = [];
if (anthropicBody.system) {
ollamaMessages.push({
role: 'system',
content:
typeof anthropicBody.system === 'string'
? anthropicBody.system
: JSON.stringify(anthropicBody.system)
});
}
for (const msg of anthropicBody.messages || []) {
if (typeof msg.content === 'string') {
ollamaMessages.push({ role: msg.role, content: msg.content });
continue;
}
if (!Array.isArray(msg.content)) continue;
if (msg.role === 'assistant') {
const textParts = [];
const toolCalls = [];
for (const item of msg.content) {
if (item.type === 'text') {
textParts.push(item.text || '');
} else if (item.type === 'tool_use') {
toolCalls.push({
function: {
name: item.name,
arguments: item.input || {}
}
});
}
}
const assistantMsg = { role: 'assistant', content: textParts.join('\n\n') };
if (toolCalls.length > 0) {
assistantMsg.tool_calls = toolCalls;
}
ollamaMessages.push(assistantMsg);
} else {
// user messages: text bleibt als user, tool_result wird zu role:tool
const pendingText = [];
for (const item of msg.content) {
if (item.type === 'text') {
pendingText.push(item.text || '');
} else if (item.type === 'tool_result') {
if (pendingText.length > 0) {
ollamaMessages.push({ role: 'user', content: pendingText.join('\n\n') });
pendingText.length = 0;
}
const resultText = stringifyToolResultContent(item.content);
console.log(`${colors.blue}📥 Tool Result ${item.tool_use_id}:${colors.reset}`);
console.log(`${colors.blue}${resultText}${colors.reset}`);
console.log('');
ollamaMessages.push({ role: 'tool', content: resultText });
}
}
if (pendingText.length > 0) {
ollamaMessages.push({ role: 'user', content: pendingText.join('\n\n') });
}
}
}
const ollamaBody = {
model: anthropicBody.model,
messages: ollamaMessages,
stream: anthropicBody.stream !== false,
think: false,
options: {
temperature: 0.7,
num_predict: anthropicBody.max_tokens || 4096,
num_ctx: 262144
}
};
if (anthropicBody.tools && anthropicBody.tools.length > 0) {
const validTools = convertAnthropicTools(anthropicBody.tools);
if (validTools.length > 0) {
ollamaBody.tools = validTools;
}
}
return ollamaBody;
}
function parseToolArguments(args) {
if (!args) return {};
if (typeof args === 'string') {
try {
return JSON.parse(args);
} catch (e) {
console.error(`${colors.red}[Tool Args Parse Error] ${e.message}${colors.reset}`);
return {};
}
}
if (typeof args === 'object') {
return args;
}
return {};
}
function makeToolDedupeKey(tc) {
const name = tc.function?.name || '';
const args = tc.function?.arguments || {};
const argsString = typeof args === 'string' ? args : JSON.stringify(args);
return `${name}:${argsString}`;
}
async function handleResponse(response, anthropicBody, res, requestNum) {
res.setHeader('Content-Type', 'text/event-stream');
res.setHeader('Cache-Control', 'no-cache');
res.setHeader('Connection', 'keep-alive');
const messageId = 'msg_' + requestNum;
// BUG 2 FIX: usage.input_tokens und stop_reason hinzugefügt
res.write(`event: message_start\ndata: ${JSON.stringify({
type: 'message_start',
message: {
id: messageId,
type: 'message',
role: 'assistant',
content: [],
model: anthropicBody.model,
stop_reason: null,
stop_sequence: null,
usage: { input_tokens: 0, output_tokens: 0 }
}
})}\n\n`);
const reader = response.body.getReader();
const decoder = new TextDecoder();
let contentBlocks = [];
let currentBlockIndex = 0;
const seenToolCalls = new Set();
let emittedToolUse = false;
let messageFinished = false;
let buffer = '';
// BUG 1 FIX: Chunk-Verarbeitung als Funktion, damit final buffer ebenfalls verarbeitet wird
function processChunk(data) {
if (messageFinished) return;
if (data.message?.tool_calls && data.message.tool_calls.length > 0) {
for (const tc of data.message.tool_calls) {
const dedupeKey = makeToolDedupeKey(tc);
if (seenToolCalls.has(dedupeKey)) {
console.log(`${colors.yellow}[Duplicate Tool Call skipped] ${dedupeKey}${colors.reset}`);
continue;
}
seenToolCalls.add(dedupeKey);
emittedToolUse = true;
const toolName = tc.function?.name;
const toolInput = parseToolArguments(tc.function?.arguments);
const toolUseId = `toolu_${requestNum}_${currentBlockIndex}`;
console.log(`${colors.yellow}[Raw Tool Call] ${JSON.stringify(tc)}${colors.reset}`);
console.log(`${colors.magenta}[Sending Tool Use: ${toolName}]${colors.reset}`);
console.log(`${colors.magenta}Input: ${JSON.stringify(toolInput)}${colors.reset}`);
res.write(`event: content_block_start\ndata: ${JSON.stringify({
type: 'content_block_start',
index: currentBlockIndex,
content_block: {
type: 'tool_use',
id: toolUseId,
name: toolName,
input: {}
}
})}\n\n`);
res.write(`event: content_block_delta\ndata: ${JSON.stringify({
type: 'content_block_delta',
index: currentBlockIndex,
delta: {
type: 'input_json_delta',
partial_json: JSON.stringify(toolInput)
}
})}\n\n`);
res.write(`event: content_block_stop\ndata: ${JSON.stringify({
type: 'content_block_stop',
index: currentBlockIndex
})}\n\n`);
currentBlockIndex++;
}
}
if (data.message?.content) {
const text = data.message.content;
if (contentBlocks[currentBlockIndex] === undefined) {
res.write(`event: content_block_start\ndata: ${JSON.stringify({
type: 'content_block_start',
index: currentBlockIndex,
content_block: {
type: 'text',
text: ''
}
})}\n\n`);
contentBlocks[currentBlockIndex] = '';
}
process.stdout.write(`${colors.green}${text}${colors.reset}`);
res.write(`event: content_block_delta\ndata: ${JSON.stringify({
type: 'content_block_delta',
index: currentBlockIndex,
delta: {
type: 'text_delta',
text
}
})}\n\n`);
contentBlocks[currentBlockIndex] += text;
}
if (data.done) {
messageFinished = true;
if (contentBlocks[currentBlockIndex] !== undefined) {
res.write(`event: content_block_stop\ndata: ${JSON.stringify({
type: 'content_block_stop',
index: currentBlockIndex
})}\n\n`);
}
res.write(`event: message_delta\ndata: ${JSON.stringify({
type: 'message_delta',
delta: {
stop_reason: emittedToolUse ? 'tool_use' : 'end_turn'
},
usage: {
output_tokens: data.eval_count || 0
}
})}\n\n`);
res.write(`event: message_stop\ndata: ${JSON.stringify({
type: 'message_stop'
})}\n\n`);
console.log(`${colors.green}${colors.reset}\n`);
}
}
while (true) {
const { done, value } = await reader.read();
if (done) break;
buffer += decoder.decode(value, { stream: true });
const lines = buffer.split('\n');
buffer = lines.pop() || '';
for (const line of lines) {
const trimmed = line.trim();
if (!trimmed) continue;
try {
processChunk(JSON.parse(trimmed));
} catch (e) {
console.error(`${colors.red}[Stream Parse Error] ${e.message}${colors.reset}`);
console.error(`${colors.red}${line}${colors.reset}`);
}
}
}
// BUG 1 FIX: letzten gepufferten Chunk verarbeiten (kein \n am Ende)
if (buffer.trim()) {
try {
processChunk(JSON.parse(buffer.trim()));
} catch (e) {
console.error(`${colors.red}[Final Buffer Parse Error] ${e.message}${colors.reset}`);
console.error(buffer);
}
}
if (!messageFinished) {
if (contentBlocks[currentBlockIndex] !== undefined) {
res.write(`event: content_block_stop\ndata: ${JSON.stringify({
type: 'content_block_stop',
index: currentBlockIndex
})}\n\n`);
}
res.write(`event: message_delta\ndata: ${JSON.stringify({
type: 'message_delta',
delta: {
stop_reason: emittedToolUse ? 'tool_use' : 'end_turn'
},
usage: {
output_tokens: 0
}
})}\n\n`);
res.write(`event: message_stop\ndata: ${JSON.stringify({
type: 'message_stop'
})}\n\n`);
}
res.end();
}
app.post('/v1/messages', async (req, res) => {
const requestNum = Date.now();
console.log(`${colors.magenta}━━━ #${requestNum} ━━━${colors.reset}`);
try {
const anthropicBody = req.body;
if (anthropicBody.model?.startsWith('claude-')) {
anthropicBody.model = 'qwen3.6:35b-a3b-q4_K_M';
}
const ollamaBody = convertAnthropicToOllama(anthropicBody);
console.log(
`${colors.magenta}[msgs=${ollamaBody.messages.length}, tools=${ollamaBody.tools?.length || 0}, ctx=256k, think=false]${colors.reset}`
);
const response = await fetch('https://ollama.aquantico.de/api/chat', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'Authorization': 'Bearer 324GF44-50AA-4B57-9386-K435DLJ764DFR'
},
body: JSON.stringify(ollamaBody)
});
if (!response.ok) {
const errorText = await response.text();
console.error(`${colors.red}${errorText}${colors.reset}`);
throw new Error(`Ollama: ${response.status}`);
}
return handleResponse(response, anthropicBody, res, requestNum);
} catch (error) {
console.error(`${colors.red}${error.message}${colors.reset}`);
if (!res.headersSent) {
res.status(500).json({
type: 'error',
error: {
type: 'api_error',
message: error.message
}
});
} else {
res.end();
}
}
});
app.listen(11435, () => {
console.log(`${colors.magenta}Proxy: localhost:11435 (256k ctx, think=false)${colors.reset}\n`);
});