- Fixed /api/stream/requests endpoint HTTP/2 INTERNAL_ERROR
- Use reply.raw.writeHead() instead of Fastify headers API for SSE
- Added 30s heartbeat to keep connection alive
- Proper event format with 'event:' and 'data:' fields
- Comprehensive error handling and cleanup on disconnect
- Mirrors working pattern from /api/stream/costs endpoint
- Resolves dashboard perpetual 'Loading...' state
The LLM Gateway is configured to run on port 3103 in ecosystem.config.cjs,
but the Cloudflare tunnel configuration and setup script were referencing port
3100, causing 502 Bad Gateway errors.
Updates:
- cloudflare-tunnel.md: Changed tunnel ingress from localhost:3100 to localhost:3103
- setup-erik.sh: Updated health check URL and output messages to port 3103
- This fixes the Cloudflare tunnel connection that was causing public HTTPS access to fail
Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
The @shieldx/core dependency was referenced at an invalid file path and is
not actually used in the codebase (import is commented as TODO). Removing
this dependency resolves npm installation failures on deployment.
The learning process was failing to communicate with the gateway because:
1. Gateway was sending 'Strict-Transport-Security' header on HTTP responses
2. Node.js fetch respects HSTS and upgrades subsequent requests to HTTPS
3. Gateway only has HTTP listener (localhost:3103), no HTTPS
4. Result: SSL 'packet length too long' error on second request attempt
Solution: Modified registerHSTSMiddleware to only send HSTS header when
the connection is already secure (HTTPS or x-forwarded-proto: https).
HTTP connections will not get the HSTS header, preventing the forced upgrade.
- ensure-bridges.sh: Idempotent startup script that deploys openai-bridge if not present
- DEPLOYMENT-BRIDGES.md: Complete deployment guide with setup, configuration, verification, and troubleshooting steps
- Enables autonomous deployment of ChatGPT/Codex bridge service on Erik
- Supports both automatic and manual setup workflows
- Add openai-bridge service (port 3251) for ChatGPT and Codex integration
- Update external-providers.ts with openai and chatgpt provider definitions
- Add GPT-4 Turbo, GPT-4, and GPT-3.5 Turbo models to provider registry
- Modify getApiKey() to handle bridge provider authentication
- Modify getBaseUrl() to construct URLs from env vars
- Update ecosystem.config.cjs with OPENAI_BRIDGE_URL and OPENAI_API_KEY config
- Add openai-bridge PM2 service configuration (port 3251)
- Support both claude-bridge (port 3250) and openai-bridge (port 3251) as subscription services
- Extend fallback chain: claude → openai/chatgpt → cerebras → groq → mistral → nvidia → cloudflare
Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
- CLAUDE_BRIDGE_URL: http://localhost:3250
- CLAUDE_BRIDGE_ENABLED: true
- OLLAMA_URL: http://192.168.178.213:11434 (direct IP instead of HTTPS tunnel)
- LLM_PROVIDERS: claude,cerebras,groq,mistral,nvidia
- Add free LLM API keys (empty, to be filled with actual keys)
HTTP server providing OpenAI API compatibility for LLM Gateway.
- OpenAI client SDK drop-in replacement (baseURL only change)
- POST /v1/chat/completions endpoint with streaming support
- GET /v1/models for client library discovery
- Automatic model mapping: gpt-4 → qwen2.5:32b, etc.
- Server-Sent Events (SSE) streaming implementation
- Full TypeScript types and comprehensive test suite
- Graceful shutdown handling (SIGTERM/SIGINT)
- Health check endpoint with gateway status
- Performance: Same as gateway (100-500ms with fallback to Ollama)
Language Server Protocol bridge for GitHub Copilot and Copilot-compatible editors.
- Implements LSP transport layer (vscode-languageserver)
- Completion with trigger characters: '.', ' ', '('
- Hover documentation with model/confidence metadata
- Code action placeholders for explain/refactor/test/fix
- Automatic fallback to local Ollama (192.168.178.213:11434)
- Full TypeScript types and test coverage
- CLI entry point: codex-lsp (stdio transport)
- Performance: Gateway 100-500ms, Ollama 200-2000ms
- Create @llm-gateway/claude-code-bridge package
- Support explain, refactor, test, document, fix commands
- Automatic fallback to local Ollama when gateway unavailable
- Health monitoring and confidence tracking
- Comprehensive test suite covering all completion methods
- Follows ADR-0005 agent integration protocol
- Define three-layer integration stack (transport, adapters, protocol)
- JSON-RPC 2.0 over HTTP for unified agent communication
- Support for Claude Code, Codex/Copilot, ChatGPT, Ollama fallback
- Establishes foundation for Phase 2G multi-agent integration
- Decision on authentication, rate limiting, streaming TBD in implementation
- Add SSH-based health check for pvestatd D-state detection on Proxmox host
(heal via cgroup move + lock file removal + reset-failed)
- Add SSH-based disk check for OPNsense VM (threshold 75%, auto-cleanup)
- knowledge/fixes.json: add 48 training fixes including post-reboot DNS
recovery (fix-046), cloudflared DNS-wait boot fix (fix-047), and
vzdump load-crash scenario with recovery steps (fix-048)
Two-stage LLM pipeline for Flexoptix-style blog generation:
- tip_blog_angle: identifies the real production situation as article angle (JSON)
- tip_blog_draft: writes continuous prose article — no headers, no bullets,
no AI filler. Gold article included as few-shot reference. v2.0.0 with
absolute format rules, DR4 wavelength correction (1310nm), fiber scope
vs OPM distinction, no invented firmware versions.
New package @llm-gateway/ctx-health (packages/ctx-health/) — a TypeScript
infrastructure monitoring and auto-healing daemon. Monitors 8 subsystems
every 60s (PM2, PostgreSQL, Ollama, Cloudflare tunnel, disk, memory,
network, WireGuard), gets AI-powered root cause analysis via the gateway
(ctxhealer caller / ctx_health_diagnose task_type), executes healing
actions with cooldown (5min) and escalation guards (3+ failures → human
escalation), persists all incidents to ctx_health_incidents and
ctx_health_status tables. Dry-run mode via CTX_HEALTH_DRY_RUN=true.
Runs as ctx-health PM2 process on Erik server.
- completion.ts now uses taskType directly for resolvePrompt (not decision.prompt_template)
so tip_transceiver_enrich.yaml is used instead of generic_qa fallback template
- routing-rules.yaml: +40 task type entries for TIP (8), EO Pulse (8), SwitchBlade (9),
PeerCortex (6), NOGnet (9), internal (2) — all with correct model tier assignments
- qwen2.5:3b for fast tasks (classify, short outputs)
- qwen2.5:14b for medium (most analysis tasks)
- qwen2.5:32b for large (blog posts, detailed reports, CSRD)
