Update jsconfig.json and package.json to correct open-sse path references from relative to local directory.

This commit is contained in:
decolua
2026-01-05 10:37:09 +07:00
parent 3857598de4
commit e35421beb1
39 changed files with 6846 additions and 6 deletions

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// Claude helper functions for translator
import { DEFAULT_THINKING_CLAUDE_SIGNATURE } from "../../config/defaultThinkingSignature.js";
// Check if message has valid non-empty content
export function hasValidContent(msg) {
if (typeof msg.content === "string" && msg.content.trim()) return true;
if (Array.isArray(msg.content)) {
return msg.content.some(block =>
(block.type === "text" && block.text?.trim()) ||
block.type === "tool_use" ||
block.type === "tool_result"
);
}
return false;
}
// Fix tool_use/tool_result ordering for Claude API
// 1. Assistant message with tool_use: remove text AFTER tool_use (Claude doesn't allow)
// 2. Merge consecutive same-role messages
export function fixToolUseOrdering(messages) {
if (messages.length <= 1) return messages;
// Pass 1: Fix assistant messages with tool_use - remove text after tool_use
for (const msg of messages) {
if (msg.role === "assistant" && Array.isArray(msg.content)) {
const hasToolUse = msg.content.some(b => b.type === "tool_use");
if (hasToolUse) {
// Keep only: thinking blocks + tool_use blocks (remove text blocks after tool_use)
const newContent = [];
let foundToolUse = false;
for (const block of msg.content) {
if (block.type === "tool_use") {
foundToolUse = true;
newContent.push(block);
} else if (block.type === "thinking" || block.type === "redacted_thinking") {
newContent.push(block);
} else if (!foundToolUse) {
// Keep text blocks BEFORE tool_use
newContent.push(block);
}
// Skip text blocks AFTER tool_use
}
msg.content = newContent;
}
}
}
// Pass 2: Merge consecutive same-role messages
const merged = [];
for (const msg of messages) {
const last = merged[merged.length - 1];
if (last && last.role === msg.role) {
// Merge content arrays
const lastContent = Array.isArray(last.content) ? last.content : [{ type: "text", text: last.content }];
const msgContent = Array.isArray(msg.content) ? msg.content : [{ type: "text", text: msg.content }];
// Put tool_result first, then other content
const toolResults = [...lastContent.filter(b => b.type === "tool_result"), ...msgContent.filter(b => b.type === "tool_result")];
const otherContent = [...lastContent.filter(b => b.type !== "tool_result"), ...msgContent.filter(b => b.type !== "tool_result")];
last.content = [...toolResults, ...otherContent];
} else {
// Ensure content is array
const content = Array.isArray(msg.content) ? msg.content : [{ type: "text", text: msg.content }];
merged.push({ role: msg.role, content: [...content] });
}
}
return merged;
}
// Prepare request for Claude format endpoints
// - Cleanup cache_control
// - Filter empty messages
// - Add thinking block for Anthropic endpoint (provider === "claude")
// - Fix tool_use/tool_result ordering
export function prepareClaudeRequest(body, provider = null) {
// 1. System: remove all cache_control, add only to last block with ttl 1h
if (body.system && Array.isArray(body.system)) {
body.system = body.system.map((block, i) => {
const { cache_control, ...rest } = block;
if (i === body.system.length - 1) {
return { ...rest, cache_control: { type: "ephemeral", ttl: "1h" } };
}
return rest;
});
}
// 2. Messages: process in optimized passes
if (body.messages && Array.isArray(body.messages)) {
const len = body.messages.length;
let filtered = [];
// Pass 1: remove cache_control + filter empty messages
for (let i = 0; i < len; i++) {
const msg = body.messages[i];
// Remove cache_control from content blocks
if (Array.isArray(msg.content)) {
for (const block of msg.content) {
delete block.cache_control;
}
}
// Keep final assistant even if empty, otherwise check valid content
const isFinalAssistant = i === len - 1 && msg.role === "assistant";
if (isFinalAssistant || hasValidContent(msg)) {
filtered.push(msg);
}
}
// Pass 1.5: Fix tool_use/tool_result ordering
// Each tool_use must have tool_result in the NEXT message (not same message with other content)
filtered = fixToolUseOrdering(filtered);
body.messages = filtered;
// Check if thinking is enabled AND last message is from user
const lastMessage = filtered[filtered.length - 1];
const lastMessageIsUser = lastMessage?.role === "user";
const thinkingEnabled = body.thinking?.type === "enabled" && lastMessageIsUser;
// Pass 2 (reverse): add cache_control to last assistant + handle thinking for Anthropic
let lastAssistantProcessed = false;
for (let i = filtered.length - 1; i >= 0; i--) {
const msg = filtered[i];
if (msg.role === "assistant" && Array.isArray(msg.content)) {
// Add cache_control to last block of first (from end) assistant with content
if (!lastAssistantProcessed && msg.content.length > 0) {
msg.content[msg.content.length - 1].cache_control = { type: "ephemeral" };
lastAssistantProcessed = true;
}
// Handle thinking blocks for Anthropic endpoint only
if (provider === "claude") {
let hasToolUse = false;
let hasThinking = false;
// Always replace signature for all thinking blocks
for (const block of msg.content) {
if (block.type === "thinking" || block.type === "redacted_thinking") {
block.signature = DEFAULT_THINKING_CLAUDE_SIGNATURE;
hasThinking = true;
}
if (block.type === "tool_use") hasToolUse = true;
}
// Add thinking block if thinking enabled + has tool_use but no thinking
if (thinkingEnabled && !hasThinking && hasToolUse) {
msg.content.unshift({
type: "thinking",
thinking: ".",
signature: DEFAULT_THINKING_CLAUDE_SIGNATURE
});
}
}
}
}
}
// 3. Tools: remove all cache_control, add only to last tool with ttl 1h
if (body.tools && Array.isArray(body.tools)) {
body.tools = body.tools.map((tool, i) => {
const { cache_control, ...rest } = tool;
if (i === body.tools.length - 1) {
return { ...rest, cache_control: { type: "ephemeral", ttl: "1h" } };
}
return rest;
});
}
return body;
}

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// Gemini helper functions for translator
// Unsupported JSON Schema constraints that should be removed for Antigravity
export const UNSUPPORTED_SCHEMA_CONSTRAINTS = [
"minLength", "maxLength", "exclusiveMinimum", "exclusiveMaximum",
"pattern", "minItems", "maxItems", "format",
"default", "examples", "$schema", "const"
];
// Default safety settings
export const DEFAULT_SAFETY_SETTINGS = [
{ category: "HARM_CATEGORY_HATE_SPEECH", threshold: "OFF" },
{ category: "HARM_CATEGORY_DANGEROUS_CONTENT", threshold: "OFF" },
{ category: "HARM_CATEGORY_SEXUALLY_EXPLICIT", threshold: "OFF" },
{ category: "HARM_CATEGORY_HARASSMENT", threshold: "OFF" },
{ category: "HARM_CATEGORY_CIVIC_INTEGRITY", threshold: "OFF" }
];
// Convert OpenAI content to Gemini parts
export function convertOpenAIContentToParts(content) {
const parts = [];
if (typeof content === "string") {
parts.push({ text: content });
} else if (Array.isArray(content)) {
for (const item of content) {
if (item.type === "text") {
parts.push({ text: item.text });
} else if (item.type === "image_url" && item.image_url?.url?.startsWith("data:")) {
const match = item.image_url.url.match(/^data:([^;]+);base64,(.+)$/);
if (match) {
parts.push({
inlineData: { mime_type: match[1], data: match[2] }
});
}
}
}
}
return parts;
}
// Extract text content from OpenAI content
export 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("");
}
return "";
}
// Try parse JSON safely
export function tryParseJSON(str) {
if (typeof str !== "string") return str;
try {
return JSON.parse(str);
} catch {
return null;
}
}
// Generate request ID
export function generateRequestId() {
return `agent-${crypto.randomUUID()}`;
}
// Generate session ID
export function generateSessionId() {
return `-${Math.floor(Math.random() * 9000000000000000000)}`;
}
// Generate project ID
export function generateProjectId() {
const adjectives = ["useful", "bright", "swift", "calm", "bold"];
const nouns = ["fuze", "wave", "spark", "flow", "core"];
const adj = adjectives[Math.floor(Math.random() * adjectives.length)];
const noun = nouns[Math.floor(Math.random() * nouns.length)];
return `${adj}-${noun}-${crypto.randomUUID().slice(0, 5)}`;
}
// Clean JSON Schema for Antigravity API compatibility - removes unsupported keywords recursively
export function cleanJSONSchemaForAntigravity(schema) {
if (!schema || typeof schema !== "object") return schema;
const cleaned = Array.isArray(schema) ? [] : {};
for (const [key, value] of Object.entries(schema)) {
if (UNSUPPORTED_SCHEMA_CONSTRAINTS.includes(key)) continue;
// Handle type array like ["string", "null"] - Gemini only supports single type
if (key === "type" && Array.isArray(value)) {
const nonNullType = value.find(t => t !== "null") || "string";
cleaned[key] = nonNullType;
continue;
}
if (value && typeof value === "object") {
cleaned[key] = cleanJSONSchemaForAntigravity(value);
} else {
cleaned[key] = value;
}
}
// Cleanup required fields - only keep fields that exist in properties
if (cleaned.required && Array.isArray(cleaned.required) && cleaned.properties) {
const validRequired = cleaned.required.filter(field =>
Object.prototype.hasOwnProperty.call(cleaned.properties, field)
);
if (validRequired.length === 0) {
delete cleaned.required;
} else {
cleaned.required = validRequired;
}
}
// Add placeholder for empty object schemas (Antigravity requirement)
if (cleaned.type === "object") {
if (!cleaned.properties || Object.keys(cleaned.properties).length === 0) {
cleaned.properties = {
reason: {
type: "string",
description: "Brief explanation of why you are calling this tool"
}
};
cleaned.required = ["reason"];
}
}
return cleaned;
}

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import { DEFAULT_MAX_TOKENS, DEFAULT_MIN_TOKENS } from "../../config/constants.js";
/**
* Adjust max_tokens based on request context
* @param {object} body - Request body
* @returns {number} Adjusted max_tokens
*/
export function adjustMaxTokens(body) {
let maxTokens = body.max_tokens || DEFAULT_MAX_TOKENS;
// Auto-increase for tool calling to prevent truncated arguments
// Tool calls with large content (like writing files) need more tokens
if (body.tools && Array.isArray(body.tools) && body.tools.length > 0) {
if (maxTokens < DEFAULT_MIN_TOKENS) {
console.log(`[AUTO-ADJUST] max_tokens: ${maxTokens} → ${DEFAULT_MIN_TOKENS} (tool calling detected)`);
maxTokens = DEFAULT_MIN_TOKENS;
}
}
return maxTokens;
}

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// OpenAI helper functions for translator
// Valid OpenAI content block types
export const VALID_OPENAI_CONTENT_TYPES = ["text", "image_url", "image"];
export const VALID_OPENAI_MESSAGE_TYPES = ["text", "image_url", "image", "tool_calls", "tool_result"];
// Filter messages to OpenAI standard format
// Remove: thinking, redacted_thinking, signature, and other non-OpenAI blocks
export function filterToOpenAIFormat(body) {
if (!body.messages || !Array.isArray(body.messages)) return body;
body.messages = body.messages.map(msg => {
// Keep tool messages as-is (OpenAI format)
if (msg.role === "tool") return msg;
// Keep assistant messages with tool_calls as-is
if (msg.role === "assistant" && msg.tool_calls) return msg;
// Handle string content
if (typeof msg.content === "string") return msg;
// Handle array content
if (Array.isArray(msg.content)) {
const filteredContent = [];
for (const block of msg.content) {
// Skip thinking blocks
if (block.type === "thinking" || block.type === "redacted_thinking") continue;
// Only keep valid OpenAI content types
if (VALID_OPENAI_CONTENT_TYPES.includes(block.type)) {
// Remove signature field if exists
const { signature, cache_control, ...cleanBlock } = block;
filteredContent.push(cleanBlock);
} else if (block.type === "tool_use") {
// Convert tool_use to tool_calls format (handled separately)
continue;
} else if (block.type === "tool_result") {
// Keep tool_result but clean it
const { signature, cache_control, ...cleanBlock } = block;
filteredContent.push(cleanBlock);
}
}
// If all content was filtered, add empty text
if (filteredContent.length === 0) {
filteredContent.push({ type: "text", text: "" });
}
return { ...msg, content: filteredContent };
}
return msg;
});
// Filter out messages with only empty text (but NEVER filter tool messages)
body.messages = body.messages.filter(msg => {
// Always keep tool messages
if (msg.role === "tool") return true;
// Always keep assistant messages with tool_calls
if (msg.role === "assistant" && msg.tool_calls) return true;
if (typeof msg.content === "string") return msg.content.trim() !== "";
if (Array.isArray(msg.content)) {
return msg.content.some(b =>
(b.type === "text" && b.text?.trim()) ||
b.type !== "text"
);
}
return true;
});
// Remove empty tools array (some providers like QWEN reject it)
if (body.tools && Array.isArray(body.tools) && body.tools.length === 0) {
delete body.tools;
}
return body;
}

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/**
* Convert OpenAI Responses API format to standard chat completions format
* Responses API uses: { input: [...], instructions: "..." }
* Chat API uses: { messages: [...] }
*/
export function convertResponsesApiFormat(body) {
if (!body.input) return body;
const result = { ...body };
result.messages = [];
// Convert instructions to system message
if (body.instructions) {
result.messages.push({ role: "system", content: body.instructions });
}
// Group items by conversation turn
let currentAssistantMsg = null;
let pendingToolCalls = [];
let pendingToolResults = [];
for (const item of body.input) {
if (item.type === "message") {
// Flush any pending assistant message with tool calls
if (currentAssistantMsg) {
result.messages.push(currentAssistantMsg);
currentAssistantMsg = null;
}
// Flush pending tool results
if (pendingToolResults.length > 0) {
for (const tr of pendingToolResults) {
result.messages.push(tr);
}
pendingToolResults = [];
}
// Convert content: input_text → text, output_text → text
const content = Array.isArray(item.content)
? item.content.map(c => {
if (c.type === "input_text") return { type: "text", text: c.text };
if (c.type === "output_text") return { type: "text", text: c.text };
return c;
})
: item.content;
result.messages.push({ role: item.role, content });
}
else if (item.type === "function_call") {
// Start or append to assistant message with tool_calls
if (!currentAssistantMsg) {
currentAssistantMsg = {
role: "assistant",
content: null,
tool_calls: []
};
}
currentAssistantMsg.tool_calls.push({
id: item.call_id,
type: "function",
function: {
name: item.name,
arguments: item.arguments
}
});
}
else if (item.type === "function_call_output") {
// Flush assistant message first if exists
if (currentAssistantMsg) {
result.messages.push(currentAssistantMsg);
currentAssistantMsg = null;
}
// Add tool result
pendingToolResults.push({
role: "tool",
tool_call_id: item.call_id,
content: typeof item.output === "string" ? item.output : JSON.stringify(item.output)
});
}
else if (item.type === "reasoning") {
// Skip reasoning items - they are for display only
continue;
}
}
// Flush remaining
if (currentAssistantMsg) {
result.messages.push(currentAssistantMsg);
}
if (pendingToolResults.length > 0) {
for (const tr of pendingToolResults) {
result.messages.push(tr);
}
}
// Cleanup Responses API specific fields
delete result.input;
delete result.instructions;
delete result.include;
delete result.prompt_cache_key;
delete result.store;
delete result.reasoning;
return result;
}

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// Tool call helper functions for translator
// Generate unique tool call ID
export function generateToolCallId() {
return `call_${Date.now().toString(36)}_${Math.random().toString(36).slice(2, 9)}`;
}
// Ensure all tool_calls have id field and arguments is string (some providers require it)
export function ensureToolCallIds(body) {
if (!body.messages || !Array.isArray(body.messages)) return body;
for (const msg of body.messages) {
if (msg.role === "assistant" && msg.tool_calls && Array.isArray(msg.tool_calls)) {
for (const tc of msg.tool_calls) {
if (!tc.id) {
tc.id = generateToolCallId();
}
if (!tc.type) {
tc.type = "function";
}
// Ensure arguments is JSON string, not object
if (tc.function?.arguments && typeof tc.function.arguments !== "string") {
tc.function.arguments = JSON.stringify(tc.function.arguments);
}
}
}
}
return body;
}
// Get tool_call ids from assistant message (OpenAI format: tool_calls, Claude format: tool_use in content)
export function getToolCallIds(msg) {
if (msg.role !== "assistant") return [];
const ids = [];
// OpenAI format: tool_calls array
if (msg.tool_calls && Array.isArray(msg.tool_calls)) {
for (const tc of msg.tool_calls) {
if (tc.id) ids.push(tc.id);
}
}
// Claude format: tool_use blocks in content
if (Array.isArray(msg.content)) {
for (const block of msg.content) {
if (block.type === "tool_use" && block.id) {
ids.push(block.id);
}
}
}
return ids;
}
// Check if user message has tool_result for given ids (OpenAI format: role=tool, Claude format: tool_result in content)
export function hasToolResults(msg, toolCallIds) {
if (!msg || !toolCallIds.length) return false;
// OpenAI format: role = "tool" with tool_call_id
if (msg.role === "tool" && msg.tool_call_id) {
return toolCallIds.includes(msg.tool_call_id);
}
// Claude format: tool_result blocks in user message content
if (msg.role === "user" && Array.isArray(msg.content)) {
for (const block of msg.content) {
if (block.type === "tool_result" && toolCallIds.includes(block.tool_use_id)) {
return true;
}
}
}
return false;
}
// Fix missing tool responses - insert empty tool_result if assistant has tool_use but next message has no tool_result
export function fixMissingToolResponses(body) {
if (!body.messages || !Array.isArray(body.messages)) return body;
const newMessages = [];
for (let i = 0; i < body.messages.length; i++) {
const msg = body.messages[i];
const nextMsg = body.messages[i + 1];
newMessages.push(msg);
// Check if this is assistant with tool_calls/tool_use
const toolCallIds = getToolCallIds(msg);
if (toolCallIds.length === 0) continue;
// Check if next message has tool_result
if (nextMsg && !hasToolResults(nextMsg, toolCallIds)) {
// Insert tool responses for each tool_call
for (const id of toolCallIds) {
// OpenAI format: role = "tool"
newMessages.push({
role: "tool",
tool_call_id: id,
content: ""
});
}
}
}
body.messages = newMessages;
return body;
}