feat(2.0): Phase 2 — System/OS + Connect

System: services/system.py (psutil CPU/RAM/Disk, sysfs GPU/Temp guarded), routers/system.py GET status + restart (Whitelist) + self-update (systemd- USER, sudo-frei). Connect: services/connect.py (Cline/OpenCode/Zed/Continue/ Claude Code/Memory-MCP → Gateway model:auto, LAN-IP-Override), routers/ connect.py. Frontend: SystemView (Metrik-Bars) + ConnectView (Tool-Tabs, Copy, IP-Override). Lokal verifiziert: Backend-Smoke + Frontend-Build + Browser (System-Bars, Connect-Snippets). Docs aktualisiert (README/STATUS/Plan). Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-25 08:08:43 +02:00
parent cff3f0b1a8
commit 6c8b6d81fe
17 changed files with 617 additions and 150 deletions
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+"""
+Connect: erzeugt saubere, getestete Konfig-Snippets für IDEs/Agenten auf dem
+LOKALEN PC (separate Maschine im LAN). Alle zeigen auf den **Gateway** der Box
+(`model: auto`, LiteLLM :4000) + den **Shared-Memory-MCP** (MC :9000).
+
+Wichtig: Host ist die LAN-IP der Box (NICHT eine Proxy-Domain) — das war in v1
+die häufigste Fehlerquelle. Der Aufrufer übergibt den Host explizit.
+"""
+
+import json
+
+DEFAULT_HOST = "192.168.178.151"
+GATEWAY_PORT = 4000
+MC_PORT = 9000
+
+# Modelle, die der Gateway anbietet (model:auto = Standard).
+GATEWAY_MODELS = ["auto", "fast", "heavy", "coder", "vision"]
+
+
+def _gw(host: str) -> str:
+    return f"http://{host}:{GATEWAY_PORT}/v1"
+
+
+def build_snippets(host: str = DEFAULT_HOST,
+                   mcp_script_path: str = r"C:\\Users\\TobisPC\\mission-control-v2\\mcp\\mcp_memory.py",
+                   mcp_python: str = "python") -> dict:
+    gw = _gw(host)
+    mc_url = f"http://{host}:{MC_PORT}"
+
+    cline = json.dumps({
+        "apiProvider": "openai",
+        "openAiBaseUrl": gw,
+        "openAiApiKey": "local",
+        "openAiModelId": "auto",
+    }, indent=2)
+
+    opencode = json.dumps({
+        "providers": {
+            "litellm": {
+                "npm": "@ai-sdk/openai-compatible",
+                "name": "Bosgame Gateway",
+                "options": {"baseURL": gw, "apiKey": "local"},
+                "models": {m: {"name": m} for m in GATEWAY_MODELS},
+            }
+        }
+    }, indent=2)
+
+    zed = json.dumps({
+        "language_models": {
+            "openai_compatible": {
+                "bosgame": {
+                    "api_url": gw,
+                    "available_models": [
+                        {"name": m, "display_name": m, "max_tokens": 131072,
+                         "capabilities": {"tools": True}} for m in GATEWAY_MODELS
+                    ],
+                }
+            }
+        }
+    }, indent=2)
+
+    cont = json.dumps({
+        "models": [
+            {"title": f"Bosgame / {m}", "provider": "openai", "model": m,
+             "apiBase": gw, "apiKey": "local"} for m in ("auto", "coder", "heavy")
+        ]
+    }, indent=2)
+
+    # Claude Code: Anthropic-Format → LiteLLM kann /v1/messages anbieten.
+    claude_code = (
+        f'# Claude Code gegen den lokalen Gateway (Anthropic-kompatibel via LiteLLM):\n'
+        f'export ANTHROPIC_BASE_URL="http://{host}:{GATEWAY_PORT}"\n'
+        f'export ANTHROPIC_API_KEY="local"\n'
+        f'export ANTHROPIC_MODEL="auto"\n'
+        f'# (LiteLLM muss den Anthropic-/v1/messages-Endpunkt aktiviert haben — auf der Box prüfen.)'
+    )
+
+    memory_mcp = json.dumps({
+        "mcpServers": {
+            "mission-control-memory": {
+                "command": mcp_python,
+                "args": [mcp_script_path],
+                "env": {"MC_URL": mc_url},
+            }
+        }
+    }, indent=2)
+
+    return {
+        "host": host,
+        "gateway_url": gw,
+        "tools": {
+            "cline": {"label": "Cline (VS Code)", "lang": "json", "snippet": cline,
+                      "note": "OpenAI-Provider → Gateway. Modell 'auto' (schnell, eskaliert bei Bedarf)."},
+            "opencode": {"label": "OpenCode", "lang": "jsonc", "snippet": opencode,
+                         "note": "Datei opencode.jsonc, Key 'providers'."},
+            "zed": {"label": "Zed", "lang": "json", "snippet": zed,
+                    "note": "settings.json → language_models.openai_compatible."},
+            "continue": {"label": "Continue", "lang": "json", "snippet": cont,
+                         "note": "~/.continue/config.json."},
+            "claude_code": {"label": "Claude Code", "lang": "bash", "snippet": claude_code,
+                            "note": "Anthropic-Format über LiteLLM /v1/messages."},
+            "memory_mcp": {"label": "Shared Memory (MCP)", "lang": "json", "snippet": memory_mcp,
+                           "note": "Für jedes MCP-fähige Tool. mcp_memory.py muss lokal liegen."},
+        },
+    }