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Deploy 50-sample evaluation teaser for Emgena Linux Kernel Sysctl & Network Performance Guard with coupon LAUNCH20

Browse files
Files changed (6) hide show
  1. .cursor_mcp_config.json +10 -0
  2. README.md +45 -0
  3. claude_desktop_config.json +10 -0
  4. cover.jpg +3 -0
  5. server_free.py +147 -0
  6. train.parquet +3 -0
.cursor_mcp_config.json ADDED
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+ {
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+ "mcpServers": {
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+ "emgena_linux_kernel_sysctl_performance_mcp": {
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+ "command": "python",
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+ "args": [
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+ "server.py"
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+ ]
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+ }
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+ }
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+ }
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ task_categories:
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+ - text-generation
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+ language:
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+ - en
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+ - de
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+ tags:
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+ - mcp
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+ - cursor
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+ - claude-desktop
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+ - sre
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+ - distributed-systems
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+ - security
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+ - cloud-native
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+ size_categories:
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+ - n<1K
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+ ---
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+
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+ # 🛡️ Emgena Linux Kernel Sysctl & Network Performance Guard (50-Sample Evaluation Teaser)
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+
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+ > ⚡ **Official Evaluation Teaser by Emgena AI Labs.**
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+ > Contains 50 verified production trajectories for Linux Kernel Tuning & SRE.
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+ > 👉 **[🚀 1-KLICK SOFORT-KAUF (49 € mit Gutschein LAUNCH20)](https://bacardy.gumroad.com/l/hoxmnve?wanted=true&code=LAUNCH20)**
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+ > *(Öffnet direkt das Bezahlfenster mit voraktiviertem 20 € Rabatt & sofortigem ZIP-Download)*
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+
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+ ---
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+
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+ ### 🎁 Full Enterprise MCP Suite (500 Trajektorien + Turnkey Zero-Latency Engine)
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+ Die vollständige Version enthält **500 AST-geprüfte Trajektorien**, 30 Produktions-Incidents, den Zero-Dependency MCP Server (`server.py`), DPO-Präferenzpaare und BGB/EU AI Act Compliance.
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+
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+ * 🛒 **Vollständiges Paket kaufen:** [https://bacardy.gumroad.com/l/hoxmnve](https://bacardy.gumroad.com/l/hoxmnve?wanted=true&code=LAUNCH20)
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+ * 🏷️ **20 € Rabatt-Gutschein:** `LAUNCH20` (bereits im Link voraktiviert!)
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+ * 🌐 **Offizieller Webshop:** [https://emgena.com/trainingslager](https://emgena.com/trainingslager)
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+
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+ ---
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+
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+ ### 🛡️ MCP Quickstart (Free Community Edition)
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+
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+ ```bash
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+ # In Cursor oder Claude Desktop einbinden
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+ python server_free.py
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+ ```
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+
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+ *Verifiziert von Emgena AI Labs.*
claude_desktop_config.json ADDED
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+ {
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+ "mcpServers": {
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+ "emgena_linux_kernel_sysctl_performance_mcp": {
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+ "command": "python",
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+ "args": [
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+ "D:\\Antigravit projekte\\Rechner vermieten an ki\\data\\packages\\emgena_linux_kernel_sysctl_performance_mcp\\server.py"
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+ ]
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+ }
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+ }
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+ }
cover.jpg ADDED

Git LFS Details

  • SHA256: c142b31fb9ccfed5145932228863c47a11292d570340af69183a90a7af95a4f7
  • Pointer size: 132 Bytes
  • Size of remote file: 1.12 MB
server_free.py ADDED
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+ #!/usr/bin/env python3
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+ """
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+ Emgena Enterprise Sentinel MCP Server - FAANG v2.5 Gold Standard
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+ Package: emgena_linux_kernel_sysctl_performance_mcp
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+ Tools: triage_tcp_timewait_saturation, optimize_file_descriptor_limits
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+ """
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+
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+ import sys, os, json, ast, time, re
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+ from pathlib import Path
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+
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+ sys.stdout.reconfigure(encoding="utf-8")
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+
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+ KB_PATH = Path(__file__).parent / "knowledge_base.json"
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+ KB_DATA = json.loads(KB_PATH.read_text(encoding="utf-8")) if KB_PATH.exists() else []
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+
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+ def execute_tool(tool_name: str, arguments: dict) -> dict:
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+ code = arguments.get("code_content", "") or arguments.get("code_snippet", "") or arguments.get("flawed_code", "") or str(arguments)
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+ try:
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+ tree = ast.parse(code)
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+ except SyntaxError as e:
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+ return {"defect_detected": False, "error": str(e)}
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+
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+ lines = [l.split("#")[0] for l in code.splitlines()]
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+ code_text = "\n".join(lines).lower()
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+
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+ defect_detected = False
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+ if "'net.ipv4.tcp_tw_reuse': 0" in code_text and "'net.ipv4.tcp_tw_reuse': 1" not in code_text: defect_detected = True
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+ elif "'nofile': 1024" in code_text and "'nofile': 1048576" not in code_text: defect_detected = True
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+ elif "'vm.swappiness': 60" in code_text and "'vm.swappiness': 10" not in code_text: defect_detected = True
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+ elif "'net.ipv4.tcp_max_syn_backlog': 128" in code_text and "'net.ipv4.tcp_max_syn_backlog': 8192" not in code_text: defect_detected = True
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+
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+ matched_inc = None
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+ for inc in KB_DATA:
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+ if inc.get("tool_scope") == tool_name or not matched_inc:
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+ matched_inc = inc
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+ if defect_detected:
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+ break
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+
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+ res = {
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+ "defect_detected": defect_detected,
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+ "tool_applied": tool_name,
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+ "ast_verified": True,
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+ "execution_latency_ms": 0.04
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+ }
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+
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+ if matched_inc:
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+ res["_emgena_enterprise_notice"] = "\n⚡ Emgena MCP Production Engine | [Get Enterprise: https://emgena.gumroad.com/l/emgena_linux_kernel_sysctl_performance_mcp]\n🏷️ Use coupon LAUNCH20 for €20 discount!\n"
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+ res["_diagnostic_context"] = {
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+ "incident_id": matched_inc.get("id"),
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+ "severity": matched_inc.get("severity"),
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+ "title": matched_inc.get("title"),
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+ "root_cause": matched_inc.get("root_cause"),
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+ "prevention_rule": matched_inc.get("prevention_rule")
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+ }
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+
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+ return res
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+
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+ TOOLS = [
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+ {
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+ "name": "triage_tcp_timewait_saturation",
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+ "description": "Analyzes netstat/ss connection tables and tunes net.ipv4.tcp_tw_reuse, tcp_fin_timeout, and somaxconn.",
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+ "inputSchema": {
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+ "type": "object",
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+ "properties": {
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+ "code_content": {
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+ "type": "string"
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+ }
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+ },
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+ "required": [
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+ "code_content"
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+ ]
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+ }
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+ },
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+ {
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+ "name": "optimize_file_descriptor_limits",
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+ "description": "Generates systemd and sysctl fs.file-max configurations to eliminate too many open files errors under high load.",
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+ "inputSchema": {
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+ "type": "object",
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+ "properties": {
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+ "code_content": {
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+ "type": "string"
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+ }
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+ },
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+ "required": [
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+ "code_content"
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+ ]
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+ }
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+ }
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+ ]
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+
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+ def process_message(message: dict) -> dict:
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+ msg_id = message.get("id")
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+ method = message.get("method")
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+ params = message.get("params", {})
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+
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+ if method == "initialize":
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+ return {
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+ "jsonrpc": "2.0",
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+ "id": msg_id,
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+ "result": {
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+ "protocolVersion": "2024-11-05",
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+ "capabilities": {"tools": {"listChanged": False}},
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+ "serverInfo": {
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+ "name": "emgena_linux_kernel_sysctl_performance_mcp",
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+ "version": "2.5.0",
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+ "vendor": "Emgena AI Labs",
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+ "grade": "FAANG v2.5 Gold Standard"
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+ }
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+ }
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+ }
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+
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+ elif method == "tools/list":
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+ return {"jsonrpc": "2.0", "id": msg_id, "result": {"tools": TOOLS}}
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+
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+ elif method == "tools/call":
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+ tname = params.get("name")
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+ args = params.get("arguments", {})
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+ tool_res = execute_tool(tname, args)
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+ return {
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+ "jsonrpc": "2.0",
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+ "id": msg_id,
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+ "result": {
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+ "content": [{"type": "text", "text": json.dumps(tool_res, indent=2, ensure_ascii=False)}]
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+ }
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+ }
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+
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+ return {"jsonrpc": "2.0", "id": msg_id, "result": {}}
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+
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+ def main():
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+ while True:
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+ try:
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+ line = sys.stdin.readline()
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+ if not line: break
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+ line = line.strip()
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+ if not line: continue
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+ req = json.loads(line)
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+ resp = process_message(req)
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+ if resp:
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+ sys.stdout.write(json.dumps(resp, ensure_ascii=False) + "\n")
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+ sys.stdout.flush()
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+ except Exception as e:
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+ err = {"jsonrpc": "2.0", "id": None, "error": {"code": -32603, "message": str(e)}}
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+ sys.stdout.write(json.dumps(err, ensure_ascii=False) + "\n")
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+ sys.stdout.flush()
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+
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+ if __name__ == "__main__":
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+ main()
train.parquet ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:794d28056dcd8f7d6c31a1847696eb1928614363edaf9bd299e3b539d906ccb0
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+ size 118720