d7ad321176
This comprehensive implementation includes: - FastAPI backend with MCP server integration - React/TypeScript frontend with Vite - PostgreSQL database with Redis caching - Grafana/Prometheus monitoring stack - Docker Compose orchestration - Full MCP protocol support for Claude Code integration Features: - Agent discovery and management across network - Visual workflow editor and execution engine - Real-time task coordination and monitoring - Multi-model support with specialized agents - Distributed development task allocation 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
37 lines
1.1 KiB
JavaScript
37 lines
1.1 KiB
JavaScript
"use strict";
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Object.defineProperty(exports, "__esModule", { value: true });
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exports.ReadBuffer = void 0;
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exports.deserializeMessage = deserializeMessage;
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exports.serializeMessage = serializeMessage;
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const types_js_1 = require("../types.js");
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/**
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* Buffers a continuous stdio stream into discrete JSON-RPC messages.
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*/
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class ReadBuffer {
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append(chunk) {
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this._buffer = this._buffer ? Buffer.concat([this._buffer, chunk]) : chunk;
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}
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readMessage() {
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if (!this._buffer) {
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return null;
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}
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const index = this._buffer.indexOf("\n");
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if (index === -1) {
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return null;
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}
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const line = this._buffer.toString("utf8", 0, index).replace(/\r$/, '');
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this._buffer = this._buffer.subarray(index + 1);
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return deserializeMessage(line);
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}
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clear() {
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this._buffer = undefined;
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}
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}
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exports.ReadBuffer = ReadBuffer;
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function deserializeMessage(line) {
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return types_js_1.JSONRPCMessageSchema.parse(JSON.parse(line));
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}
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function serializeMessage(message) {
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return JSON.stringify(message) + "\n";
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}
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//# sourceMappingURL=stdio.js.map
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