From 2eef2fe6c7006114019d8e04b35dbf1d7b85c399 Mon Sep 17 00:00:00 2001 From: vishal veerareddy Date: Fri, 23 Jan 2026 19:38:47 -0800 Subject: [PATCH 1/4] Added headroom support --- .claude/settings.local.json | 20 +- .env.example | 106 ++++++ docker-compose.yml | 85 +++++ documentation/README.md | 3 +- documentation/headroom.md | 519 ++++++++++++++++++++++++++++++ headroom-sidecar/Dockerfile | 47 +++ headroom-sidecar/config.py | 93 ++++++ headroom-sidecar/requirements.txt | 14 + headroom-sidecar/server.py | 451 ++++++++++++++++++++++++++ package-lock.json | 136 +++++++- package.json | 5 +- src/api/health.js | 27 ++ src/api/router.js | 61 ++++ src/cache/prompt.js | 30 +- src/clients/databricks.js | 96 +++++- src/config/index.js | 72 +++++ src/headroom/client.js | 435 +++++++++++++++++++++++++ src/headroom/health.js | 163 ++++++++++ src/headroom/index.js | 240 ++++++++++++++ src/headroom/launcher.js | 517 +++++++++++++++++++++++++++++ src/orchestrator/index.js | 51 +++ src/server.js | 26 +- 22 files changed, 3177 insertions(+), 20 deletions(-) create mode 100644 documentation/headroom.md create mode 100644 headroom-sidecar/Dockerfile create mode 100644 headroom-sidecar/config.py create mode 100644 headroom-sidecar/requirements.txt create mode 100644 headroom-sidecar/server.py create mode 100644 src/headroom/client.js create mode 100644 src/headroom/health.js create mode 100644 src/headroom/index.js create mode 100644 src/headroom/launcher.js diff --git a/.claude/settings.local.json b/.claude/settings.local.json index 93ba699..1c3387c 100644 --- a/.claude/settings.local.json +++ b/.claude/settings.local.json @@ -27,7 +27,25 @@ "Bash(jobs:*)", "Bash(gh pr view:*)", "Bash(gh run list:*)", - "Bash(gh run view:*)" + "Bash(gh run view:*)", + "Bash(npm install:*)", + "Bash(npm run lint:*)", + "Bash(docker ps:*)", + "Bash(docker logs:*)", + "Bash(docker exec:*)", + "Bash(docker compose build:*)", + "Bash(docker compose restart:*)", + "Bash(docker compose:*)", + "Bash(docker run:*)", + "Bash(python3:*)", + "Bash(iconv:*)", + "Bash(ls:*)", + "Bash(pgrep:*)", + "Bash(docker-compose build:*)", + "Bash(xargs:*)", + "Bash(docker info:*)", + "Bash(docker container ls:*)", + "Bash(node --check:*)" ], "deny": [], "ask": [] diff --git a/.env.example b/.env.example index ddb3723..a462e81 100644 --- a/.env.example +++ b/.env.example @@ -340,3 +340,109 @@ HOT_RELOAD_DEBOUNCE_MS=1000 # VERTEX_API_KEY=your-google-api-key # VERTEX_MODEL=gemini-2.0-flash # npm start + +# ============================================================================== +# Headroom Context Compression (Sidecar) +# ============================================================================== +# Headroom provides 47-92% token reduction through intelligent context compression. +# It runs as a Python sidecar container managed automatically by Lynkr via Docker. +# +# Features: +# - Smart Crusher: Statistical JSON compression for tool outputs +# - Cache Aligner: Stabilizes dynamic content for provider cache hits +# - CCR (Compress-Cache-Retrieve): Reversible compression with on-demand retrieval +# - Rolling Window: Token budget enforcement with turn-based windowing +# - LLMLingua (optional): ML-based 20x compression with GPU acceleration + +# Enable/disable Headroom compression (default: false) +HEADROOM_ENABLED=false + +# Sidecar endpoint (auto-configured when Docker is enabled) +HEADROOM_ENDPOINT=http://localhost:8787 + +# Request timeout in milliseconds +HEADROOM_TIMEOUT_MS=5000 + +# Minimum tokens to trigger compression (skip small requests) +HEADROOM_MIN_TOKENS=500 + +# Operating mode: "audit" (observe only) or "optimize" (apply transforms) +HEADROOM_MODE=optimize + +# Provider for cache optimization hints: anthropic, openai, google +HEADROOM_PROVIDER=anthropic + +# Log level: debug, info, warning, error +HEADROOM_LOG_LEVEL=info + +# ============================================================================== +# Headroom Docker Configuration +# ============================================================================== +# When enabled, Lynkr automatically manages the Headroom container lifecycle + +# Enable Docker container management (default: true when HEADROOM_ENABLED=true) +HEADROOM_DOCKER_ENABLED=true + +# Docker image to use +HEADROOM_DOCKER_IMAGE=lynkr/headroom-sidecar:latest + +# Container name +HEADROOM_DOCKER_CONTAINER_NAME=lynkr-headroom + +# Port mapping +HEADROOM_DOCKER_PORT=8787 + +# Resource limits +HEADROOM_DOCKER_MEMORY_LIMIT=512m +HEADROOM_DOCKER_CPU_LIMIT=1.0 + +# Restart policy: no, always, unless-stopped, on-failure +HEADROOM_DOCKER_RESTART_POLICY=unless-stopped + +# Docker network (optional, leave empty for default bridge) +# HEADROOM_DOCKER_NETWORK=lynkr-network + +# Build from local source instead of pulling image +# HEADROOM_DOCKER_AUTO_BUILD=true +# HEADROOM_DOCKER_BUILD_CONTEXT=./headroom-sidecar + +# ============================================================================== +# Headroom Transform Settings +# ============================================================================== + +# Smart Crusher (statistical JSON compression) +HEADROOM_SMART_CRUSHER=true +HEADROOM_SMART_CRUSHER_MIN_TOKENS=200 +HEADROOM_SMART_CRUSHER_MAX_ITEMS=15 + +# Tool Crusher (fixed-rules compression for tool outputs) +HEADROOM_TOOL_CRUSHER=true + +# Cache Aligner (stabilize dynamic content like UUIDs, timestamps) +HEADROOM_CACHE_ALIGNER=true + +# Rolling Window (context overflow management) +HEADROOM_ROLLING_WINDOW=true +HEADROOM_KEEP_TURNS=3 + +# ============================================================================== +# Headroom CCR (Compress-Cache-Retrieve) +# ============================================================================== + +# Enable CCR for reversible compression with on-demand retrieval +HEADROOM_CCR=true + +# TTL for cached content in seconds (default: 5 minutes) +HEADROOM_CCR_TTL=300 + +# ============================================================================== +# Headroom LLMLingua (Optional ML Compression) +# ============================================================================== +# LLMLingua-2 provides ML-based 20x compression using BERT token classification. +# Requires GPU for reasonable performance, or use CPU with longer timeouts. + +# Enable LLMLingua (default: false, requires GPU recommended) +HEADROOM_LLMLINGUA=false + +# Device: cuda, cpu, auto +HEADROOM_LLMLINGUA_DEVICE=auto diff --git a/docker-compose.yml b/docker-compose.yml index 8b40158..4f99144 100644 --- a/docker-compose.yml +++ b/docker-compose.yml @@ -142,6 +142,27 @@ services: CIRCUIT_BREAKER_TIMEOUT: ${CIRCUIT_BREAKER_TIMEOUT:-60000} LOAD_SHEDDING_MEMORY_THRESHOLD: ${LOAD_SHEDDING_MEMORY_THRESHOLD:-0.85} + # ============================================================ + # HEADROOM CONTEXT COMPRESSION (OPTIONAL) + # ============================================================ + # Provides 47-92% token reduction through intelligent compression + HEADROOM_ENABLED: ${HEADROOM_ENABLED:-false} + HEADROOM_ENDPOINT: ${HEADROOM_ENDPOINT:-http://headroom:8787} + HEADROOM_TIMEOUT_MS: ${HEADROOM_TIMEOUT_MS:-5000} + HEADROOM_MIN_TOKENS: ${HEADROOM_MIN_TOKENS:-500} + HEADROOM_MODE: ${HEADROOM_MODE:-optimize} + # Disable Docker management - we use docker-compose instead + HEADROOM_DOCKER_ENABLED: "false" + # Transform settings + HEADROOM_SMART_CRUSHER: ${HEADROOM_SMART_CRUSHER:-true} + HEADROOM_TOOL_CRUSHER: ${HEADROOM_TOOL_CRUSHER:-true} + HEADROOM_CACHE_ALIGNER: ${HEADROOM_CACHE_ALIGNER:-true} + HEADROOM_ROLLING_WINDOW: ${HEADROOM_ROLLING_WINDOW:-true} + HEADROOM_KEEP_TURNS: ${HEADROOM_KEEP_TURNS:-3} + HEADROOM_CCR: ${HEADROOM_CCR:-true} + HEADROOM_CCR_TTL: ${HEADROOM_CCR_TTL:-300} + HEADROOM_LLMLINGUA: ${HEADROOM_LLMLINGUA:-false} + volumes: - ./data:/app/data # Persist SQLite databases - .:/workspace # Mount workspace @@ -244,6 +265,68 @@ services: retries: 3 start_period: 20s + # Headroom context compression sidecar (47-92% token reduction) + headroom: + image: lynkr/headroom-sidecar:latest + container_name: lynkr-headroom + profiles: + - headroom + build: + context: ./headroom-sidecar + dockerfile: Dockerfile + ports: + - "8787:8787" + environment: + HEADROOM_HOST: "0.0.0.0" + HEADROOM_PORT: "8787" + HEADROOM_LOG_LEVEL: ${HEADROOM_LOG_LEVEL:-info} + HEADROOM_MODE: ${HEADROOM_MODE:-optimize} + HEADROOM_PROVIDER: ${HEADROOM_PROVIDER:-anthropic} + # Transforms + HEADROOM_SMART_CRUSHER: ${HEADROOM_SMART_CRUSHER:-true} + HEADROOM_SMART_CRUSHER_MIN_TOKENS: ${HEADROOM_SMART_CRUSHER_MIN_TOKENS:-200} + HEADROOM_SMART_CRUSHER_MAX_ITEMS: ${HEADROOM_SMART_CRUSHER_MAX_ITEMS:-15} + HEADROOM_TOOL_CRUSHER: ${HEADROOM_TOOL_CRUSHER:-true} + HEADROOM_CACHE_ALIGNER: ${HEADROOM_CACHE_ALIGNER:-true} + HEADROOM_ROLLING_WINDOW: ${HEADROOM_ROLLING_WINDOW:-true} + HEADROOM_KEEP_TURNS: ${HEADROOM_KEEP_TURNS:-3} + # CCR + HEADROOM_CCR: ${HEADROOM_CCR:-true} + HEADROOM_CCR_TTL: ${HEADROOM_CCR_TTL:-300} + # LLMLingua (optional, requires GPU) + HEADROOM_LLMLINGUA: ${HEADROOM_LLMLINGUA:-false} + HEADROOM_LLMLINGUA_DEVICE: ${HEADROOM_LLMLINGUA_DEVICE:-auto} + volumes: + - headroom-data:/app/data + restart: unless-stopped + networks: + - lynkr-network + healthcheck: + test: ["CMD", "curl", "-f", "http://localhost:8787/health"] + interval: 30s + timeout: 10s + retries: 3 + start_period: 30s + labels: + - "com.lynkr.service=headroom" + - "com.lynkr.description=Context compression sidecar" + deploy: + resources: + limits: + cpus: '1' + memory: 512M + reservations: + cpus: '0.25' + memory: 256M + # Uncomment for GPU support (LLMLingua) + # deploy: + # resources: + # reservations: + # devices: + # - driver: nvidia + # count: 1 + # capabilities: [gpu] + volumes: ollama-data: driver: local @@ -251,6 +334,8 @@ volumes: # driver: local searxng-data: driver: local + headroom-data: + driver: local networks: lynkr-network: diff --git a/documentation/README.md b/documentation/README.md index 01aec91..6569a62 100644 --- a/documentation/README.md +++ b/documentation/README.md @@ -31,6 +31,7 @@ Understand Lynkr's capabilities: - **[Architecture & Features](features.md)** - System architecture, request flow, format conversion, and core capabilities - **[Memory System](memory-system.md)** - Titans-inspired long-term memory with surprise-based filtering and decay - **[Token Optimization](token-optimization.md)** - Achieve 60-80% cost reduction through smart tool selection, prompt caching, and memory deduplication +- **[Headroom Compression](headroom.md)** - 47-92% token reduction through intelligent context compression (Smart Crusher, CCR, LLMLingua) - **[Tools & Execution Modes](tools.md)** - Tool calling, server vs client execution, custom tool integration, MCP support --- @@ -71,7 +72,7 @@ Get help and contribute: - [Installation](installation.md) | [Providers](providers.md) | [Claude Code](claude-code-cli.md) | [Cursor](cursor-integration.md) | [Embeddings](embeddings.md) ### Features & Optimization -- [Features](features.md) | [Memory System](memory-system.md) | [Token Optimization](token-optimization.md) | [Tools](tools.md) +- [Features](features.md) | [Memory System](memory-system.md) | [Token Optimization](token-optimization.md) | [Headroom](headroom.md) | [Tools](tools.md) ### Deployment & Production - [Docker](docker.md) | [Production](production.md) | [API Reference](api.md) diff --git a/documentation/headroom.md b/documentation/headroom.md new file mode 100644 index 0000000..5fe3ff2 --- /dev/null +++ b/documentation/headroom.md @@ -0,0 +1,519 @@ +# Headroom Context Compression + +Headroom is an intelligent context compression system that reduces LLM token usage by 47-92% while preserving semantic meaning. It runs as a Python sidecar container that Lynkr manages automatically via Docker. + +--- + +## Overview + +### What is Headroom? + +Headroom is a context optimization SDK that compresses LLM prompts and tool outputs using: + +1. **Smart Crusher** - Statistical JSON compression based on field analysis +2. **Cache Aligner** - Stabilizes dynamic content (UUIDs, timestamps) for provider cache hits +3. **CCR (Compress-Cache-Retrieve)** - Reversible compression with on-demand retrieval +4. **Rolling Window** - Token budget enforcement with turn-based windowing +5. **LLMLingua** (optional) - ML-based 20x compression using BERT + +### Benefits + +| Metric | Without Headroom | With Headroom | +|--------|-----------------|---------------| +| Token usage | 100% | 8-53% (47-92% reduction) | +| Cache hit rate | ~20% | ~60-80% | +| Cost per request | $0.01-0.05 | $0.002-0.02 | +| Context overflow | Common | Rare | + +--- + +## Quick Start + +### 1. Enable Headroom + +Add to your `.env`: + +```bash +# Enable Headroom compression +HEADROOM_ENABLED=true +``` + +### 2. Start Lynkr + +```bash +npm start +``` + +Lynkr will automatically: +1. Pull the `lynkr/headroom-sidecar:latest` Docker image +2. Start the container with configured settings +3. Wait for health checks to pass +4. Begin compressing requests + +### 3. Verify It's Working + +Check the health endpoint: + +```bash +curl http://localhost:8081/health/headroom +``` + +Expected response: +```json +{ + "enabled": true, + "healthy": true, + "service": { + "available": true, + "ccrEnabled": true, + "llmlinguaEnabled": false + }, + "docker": { + "running": true, + "status": "running", + "health": "healthy" + } +} +``` + +--- + +## How It Works + +### Transform Pipeline + +When a request arrives, Headroom processes it through a three-stage pipeline: + +``` +Request → Cache Aligner → Smart Crusher → Context Manager → Compressed Request + ↓ ↓ ↓ + Stabilize IDs Compress JSON Enforce budget +``` + +### 1. Cache Aligner + +**Problem**: Dynamic content like UUIDs and timestamps change every request, preventing provider cache hits. + +**Solution**: Replace dynamic values with stable placeholders: + +```json +// Before +{"id": "f47ac10b-58cc-4372-a567-0e02b2c3d479", "created": "2024-01-15T10:30:00Z"} + +// After +{"id": "[ID:1]", "created": "[TS:1]"} +``` + +**Result**: 60-80% cache hit rate instead of ~20%. + +### 2. Smart Crusher + +**Problem**: Tool outputs often contain repetitive JSON with many similar items. + +**Solution**: Statistical analysis to identify and compress redundant fields: + +```json +// Before (100 search results, ~50KB) +[ + {"title": "Result 1", "url": "...", "snippet": "...", "score": 0.95, ...}, + {"title": "Result 2", "url": "...", "snippet": "...", "score": 0.93, ...}, + // ... 98 more items +] + +// After (~5KB) +{ + "_meta": {"compressed": true, "original_count": 100, "kept": 12}, + "items": [ + // Top 12 most relevant items with essential fields only + ] +} +``` + +**Compression strategies**: +- **High-variance fields**: Keep (they're informative) +- **Low-variance fields**: Remove (they're redundant) +- **Unique fields**: Keep first occurrence only +- **Repetitive arrays**: Sample representative items + +### 3. CCR (Compress-Cache-Retrieve) + +**Problem**: Sometimes you need to retrieve compressed content later. + +**Solution**: Hash-based reversible compression: + +```json +// Compressed message +{ + "content": "[CCR:abc123] 100 files found. Use ccr_retrieve to explore.", + "ccr_available": true +} + +// Tool definition injected +{ + "name": "ccr_retrieve", + "description": "Retrieve compressed content by hash", + "input_schema": { + "hash": "string", + "query": "string (optional search within results)" + } +} +``` + +When the LLM calls `ccr_retrieve`, Headroom returns the full original content. + +--- + +## Configuration + +### Basic Settings + +```bash +# Enable/disable Headroom +HEADROOM_ENABLED=true + +# Sidecar endpoint +HEADROOM_ENDPOINT=http://localhost:8787 + +# Request timeout (ms) +HEADROOM_TIMEOUT_MS=5000 + +# Skip compression for small requests (tokens) +HEADROOM_MIN_TOKENS=500 + +# Mode: "audit" (observe) or "optimize" (apply) +HEADROOM_MODE=optimize +``` + +### Docker Settings + +```bash +# Enable automatic container management +HEADROOM_DOCKER_ENABLED=true + +# Docker image +HEADROOM_DOCKER_IMAGE=lynkr/headroom-sidecar:latest + +# Container name +HEADROOM_DOCKER_CONTAINER_NAME=lynkr-headroom + +# Port mapping +HEADROOM_DOCKER_PORT=8787 + +# Resource limits +HEADROOM_DOCKER_MEMORY_LIMIT=512m +HEADROOM_DOCKER_CPU_LIMIT=1.0 + +# Restart policy +HEADROOM_DOCKER_RESTART_POLICY=unless-stopped +``` + +### Transform Settings + +```bash +# Smart Crusher (statistical JSON compression) +HEADROOM_SMART_CRUSHER=true +HEADROOM_SMART_CRUSHER_MIN_TOKENS=200 +HEADROOM_SMART_CRUSHER_MAX_ITEMS=15 + +# Tool Crusher (fixed-rules compression) +HEADROOM_TOOL_CRUSHER=true + +# Cache Aligner (stabilize dynamic content) +HEADROOM_CACHE_ALIGNER=true + +# Rolling Window (context overflow management) +HEADROOM_ROLLING_WINDOW=true +HEADROOM_KEEP_TURNS=3 +``` + +### CCR Settings + +```bash +# Enable CCR for reversible compression +HEADROOM_CCR=true + +# Cache TTL in seconds +HEADROOM_CCR_TTL=300 +``` + +### LLMLingua Settings (Optional) + +LLMLingua provides ML-based compression using BERT token classification. Requires GPU for reasonable performance. + +```bash +# Enable LLMLingua (default: false) +HEADROOM_LLMLINGUA=true + +# Device: cuda, cpu, auto +HEADROOM_LLMLINGUA_DEVICE=cuda +``` + +**Note**: LLMLingua adds 100-500ms latency per request. Only enable if you have a GPU and need maximum compression. + +--- + +## API Endpoints + +### Health Check + +```bash +GET /health/headroom +``` + +Returns Headroom health status including container and service state. + +### Compression Metrics + +```bash +GET /metrics/compression +``` + +Returns compression statistics: + +```json +{ + "enabled": true, + "endpoint": "http://localhost:8787", + "client": { + "totalCalls": 150, + "successfulCompressions": 120, + "skippedCompressions": 25, + "failures": 5, + "totalTokensSaved": 450000, + "averageLatencyMs": 45, + "compressionRate": 80, + "failureRate": 3 + }, + "server": { + "requests_total": 150, + "compressions_applied": 120, + "average_compression_ratio": 0.35, + "ccr_retrievals": 45 + } +} +``` + +### Detailed Status + +```bash +GET /headroom/status +``` + +Returns full status including configuration, metrics, and recent logs. + +### Container Restart + +```bash +POST /headroom/restart +``` + +Restarts the Headroom container (useful for applying config changes). + +### Container Logs + +```bash +GET /headroom/logs?tail=100 +``` + +Returns recent container logs for debugging. + +--- + +## Monitoring + +### Health Check Integration + +Headroom status is included in the `/health/ready` endpoint: + +```json +{ + "status": "ready", + "checks": { + "database": { "healthy": true }, + "memory": { "healthy": true }, + "headroom": { + "healthy": true, + "enabled": true, + "service": "available", + "docker": "running" + } + } +} +``` + +**Note**: Headroom is non-critical. If it fails, Lynkr continues without compression. + +### Logging + +Headroom logs compression events: + +``` +INFO: Headroom compression applied + tokensBefore: 15000 + tokensAfter: 5200 + savingsPercent: 65.3 + latencyMs: 42 + transforms: ["cache_aligner", "smart_crusher"] +``` + +--- + +## Troubleshooting + +### Container Won't Start + +**Check Docker is running:** +```bash +docker ps +``` + +**Check for port conflicts:** +```bash +lsof -i :8787 +``` + +**View container logs:** +```bash +curl http://localhost:8081/headroom/logs +# or +docker logs lynkr-headroom +``` + +### High Latency + +1. **Reduce transforms**: Disable LLMLingua if not needed +2. **Increase resources**: Raise `HEADROOM_DOCKER_MEMORY_LIMIT` +3. **Skip small requests**: Increase `HEADROOM_MIN_TOKENS` + +### Compression Not Applied + +Check: +1. `HEADROOM_ENABLED=true` in `.env` +2. Request has more than `HEADROOM_MIN_TOKENS` tokens +3. Health endpoint shows `healthy: true` + +### CCR Retrieval Fails + +1. Check `HEADROOM_CCR=true` +2. Verify TTL hasn't expired (`HEADROOM_CCR_TTL`) +3. Ensure same session is used (CCR is session-scoped) + +--- + +## Architecture + +### System Diagram + +``` +┌─────────────────────────────────────────────────────────────────┐ +│ Lynkr (Node.js) │ +│ ┌──────────────────────────────────────────────────────────┐ │ +│ │ Request Handler │ │ +│ │ ↓ │ │ +│ │ src/headroom/client.js ──HTTP──→ Headroom Sidecar │ │ +│ │ ↓ (Python Container) │ │ +│ │ Compressed Request │ │ │ +│ │ ↓ ↓ │ │ +│ │ LLM Provider ┌─────────────┐ │ │ +│ │ │ Transforms │ │ │ +│ └──────────────────────────────────│ - Aligner │─────────┘ │ +│ │ - Crusher │ │ +│ │ - CCR Store │ │ +│ │ - LLMLingua │ │ +│ └─────────────┘ │ +└─────────────────────────────────────────────────────────────────┘ +``` + +### Request Flow + +1. **Request arrives** at Lynkr +2. **Token estimation** - Skip if below `HEADROOM_MIN_TOKENS` +3. **Send to sidecar** - HTTP POST to `/compress` +4. **Transform pipeline** executes: + - Cache Aligner stabilizes dynamic content + - Smart Crusher compresses JSON structures + - Context Manager enforces token budget +5. **Return compressed** messages and tools +6. **Forward to LLM** provider +7. **On CCR tool call** - Retrieve original content + +### File Structure + +``` +src/headroom/ +├── index.js # HeadroomManager singleton, exports +├── launcher.js # Docker container lifecycle (dockerode) +├── client.js # HTTP client for sidecar API +└── health.js # Health check functionality +``` + +--- + +## Best Practices + +### 1. Start with Defaults + +The default configuration is optimized for most use cases: +- Smart Crusher: Enabled +- Cache Aligner: Enabled +- CCR: Enabled +- LLMLingua: Disabled (enable only with GPU) + +### 2. Monitor Compression Rates + +Check `/metrics/compression` regularly: +- **Good**: 60-80% compression rate +- **Warning**: Below 40% (check transform settings) +- **Issue**: High failure rate (check container health) + +### 3. Tune for Your Workload + +| Workload | Recommended Settings | +|----------|---------------------| +| Code assistance | `SMART_CRUSHER_MAX_ITEMS=20` | +| Search-heavy | `SMART_CRUSHER_MAX_ITEMS=10`, CCR enabled | +| Long conversations | `ROLLING_WINDOW=true`, `KEEP_TURNS=5` | +| Cost-sensitive | Enable LLMLingua with GPU | + +### 4. Use Audit Mode First + +Test compression without applying it: + +```bash +HEADROOM_MODE=audit +``` + +This logs what would be compressed without modifying requests. + +--- + +## FAQ + +### Does Headroom affect response quality? + +Minimal impact. Smart Crusher preserves high-variance (informative) fields and CCR allows full retrieval when needed. LLMLingua may have ~1.5% quality reduction. + +### Can I use Headroom without Docker? + +Yes. Disable Docker management and run the sidecar manually: + +```bash +HEADROOM_DOCKER_ENABLED=false +HEADROOM_ENDPOINT=http://your-headroom-server:8787 +``` + +### Is Headroom required? + +No. If Headroom fails or is disabled, Lynkr works normally without compression. + +### What providers benefit most? + +All providers benefit from compression. Anthropic and OpenAI see additional benefits from Cache Aligner improving cache hit rates. + +--- + +## References + +- [Headroom GitHub Repository](https://github.com/chopratejas/headroom) +- [LLMLingua Paper](https://arxiv.org/abs/2310.05736) +- [Anthropic Prompt Caching](https://docs.anthropic.com/en/docs/build-with-claude/prompt-caching) diff --git a/headroom-sidecar/Dockerfile b/headroom-sidecar/Dockerfile new file mode 100644 index 0000000..61da055 --- /dev/null +++ b/headroom-sidecar/Dockerfile @@ -0,0 +1,47 @@ +# Headroom Sidecar - Context Compression Service +# Provides 47-92% token reduction for LLM requests + +FROM python:3.11-slim + +# Install system dependencies +RUN apt-get update && apt-get install -y --no-install-recommends \ + curl \ + && rm -rf /var/lib/apt/lists/* + +WORKDIR /app + +# Install Python dependencies +COPY requirements.txt . +RUN pip install --no-cache-dir -r requirements.txt + +# Copy application code +COPY server.py . +COPY config.py . + +# Create data directory +RUN mkdir -p /app/data + +# Environment variables with defaults +ENV HEADROOM_HOST="0.0.0.0" \ + HEADROOM_PORT="8787" \ + HEADROOM_LOG_LEVEL="info" \ + HEADROOM_MODE="optimize" \ + HEADROOM_PROVIDER="anthropic" \ + HEADROOM_SMART_CRUSHER="true" \ + HEADROOM_SMART_CRUSHER_MIN_TOKENS="200" \ + HEADROOM_SMART_CRUSHER_MAX_ITEMS="15" \ + HEADROOM_TOOL_CRUSHER="true" \ + HEADROOM_CACHE_ALIGNER="true" \ + HEADROOM_ROLLING_WINDOW="true" \ + HEADROOM_KEEP_TURNS="3" \ + HEADROOM_CCR="true" \ + HEADROOM_CCR_TTL="300" \ + HEADROOM_LLMLINGUA="false" \ + HEADROOM_LLMLINGUA_DEVICE="auto" + +EXPOSE 8787 + +HEALTHCHECK --interval=30s --timeout=10s --start-period=30s --retries=3 \ + CMD curl -f http://localhost:8787/health || exit 1 + +CMD ["python", "server.py"] diff --git a/headroom-sidecar/config.py b/headroom-sidecar/config.py new file mode 100644 index 0000000..8bf53ed --- /dev/null +++ b/headroom-sidecar/config.py @@ -0,0 +1,93 @@ +""" +Headroom Sidecar Configuration +Loads settings from environment variables +""" + +import os +from typing import Optional + + +def str_to_bool(value: str) -> bool: + """Convert string to boolean""" + return value.lower() in ("true", "1", "yes", "on") + + +class HeadroomConfig: + """Configuration for Headroom sidecar""" + + def __init__(self): + # Server settings + self.host = os.environ.get("HEADROOM_HOST", "0.0.0.0") + self.port = int(os.environ.get("HEADROOM_PORT", "8787")) + self.log_level = os.environ.get("HEADROOM_LOG_LEVEL", "info") + + # Operating mode + self.mode = os.environ.get("HEADROOM_MODE", "optimize") + self.provider = os.environ.get("HEADROOM_PROVIDER", "anthropic") + + # Smart Crusher settings + self.smart_crusher_enabled = str_to_bool( + os.environ.get("HEADROOM_SMART_CRUSHER", "true") + ) + self.smart_crusher_min_tokens = int( + os.environ.get("HEADROOM_SMART_CRUSHER_MIN_TOKENS", "200") + ) + self.smart_crusher_max_items = int( + os.environ.get("HEADROOM_SMART_CRUSHER_MAX_ITEMS", "15") + ) + + # Tool Crusher settings + self.tool_crusher_enabled = str_to_bool( + os.environ.get("HEADROOM_TOOL_CRUSHER", "true") + ) + + # Cache Aligner settings + self.cache_aligner_enabled = str_to_bool( + os.environ.get("HEADROOM_CACHE_ALIGNER", "true") + ) + + # Rolling Window settings + self.rolling_window_enabled = str_to_bool( + os.environ.get("HEADROOM_ROLLING_WINDOW", "true") + ) + self.keep_turns = int(os.environ.get("HEADROOM_KEEP_TURNS", "3")) + + # CCR settings + self.ccr_enabled = str_to_bool(os.environ.get("HEADROOM_CCR", "true")) + self.ccr_ttl = int(os.environ.get("HEADROOM_CCR_TTL", "300")) + + # LLMLingua settings + self.llmlingua_enabled = str_to_bool( + os.environ.get("HEADROOM_LLMLINGUA", "false") + ) + self.llmlingua_device = os.environ.get("HEADROOM_LLMLINGUA_DEVICE", "auto") + + def to_dict(self) -> dict: + """Return configuration as dictionary""" + return { + "host": self.host, + "port": self.port, + "log_level": self.log_level, + "mode": self.mode, + "provider": self.provider, + "smart_crusher": { + "enabled": self.smart_crusher_enabled, + "min_tokens": self.smart_crusher_min_tokens, + "max_items": self.smart_crusher_max_items, + }, + "tool_crusher": {"enabled": self.tool_crusher_enabled}, + "cache_aligner": {"enabled": self.cache_aligner_enabled}, + "rolling_window": { + "enabled": self.rolling_window_enabled, + "keep_turns": self.keep_turns, + }, + "ccr": {"enabled": self.ccr_enabled, "ttl": self.ccr_ttl}, + "llmlingua": { + "enabled": self.llmlingua_enabled, + "device": self.llmlingua_device, + }, + } + + +# Global config instance +config = HeadroomConfig() diff --git a/headroom-sidecar/requirements.txt b/headroom-sidecar/requirements.txt new file mode 100644 index 0000000..29f1182 --- /dev/null +++ b/headroom-sidecar/requirements.txt @@ -0,0 +1,14 @@ +# Headroom Sidecar Dependencies + +# Core framework +fastapi>=0.109.0 +uvicorn[standard]>=0.27.0 +pydantic>=2.5.0 + +# Headroom SDK +headroom-ai>=0.1.0 + +# Optional: LLMLingua support (uncomment for ML compression) +# llmlingua>=0.2.0 +# torch>=2.0.0 +# transformers>=4.36.0 diff --git a/headroom-sidecar/server.py b/headroom-sidecar/server.py new file mode 100644 index 0000000..ea3a1df --- /dev/null +++ b/headroom-sidecar/server.py @@ -0,0 +1,451 @@ +""" +Headroom Sidecar Server +FastAPI application providing context compression via HTTP API +""" + +import logging +import time +import hashlib +import json +from typing import Any, Dict, List, Optional +from datetime import datetime + +from fastapi import FastAPI, HTTPException +from fastapi.responses import JSONResponse +from pydantic import BaseModel +import uvicorn + +from config import config + +# Setup logging +logging.basicConfig( + level=getattr(logging, config.log_level.upper()), + format="%(asctime)s - %(name)s - %(levelname)s - %(message)s", +) +logger = logging.getLogger("headroom-sidecar") + +# Initialize FastAPI app +app = FastAPI( + title="Headroom Sidecar", + description="Context compression service for LLM requests", + version="1.0.0", +) + +# Try to import headroom, fallback to basic compression if not available +try: + from headroom import ( + TransformPipeline, + SmartCrusher, + SmartCrusherConfig, + ToolCrusher, + ToolCrusherConfig, + RollingWindow, + RollingWindowConfig, + AnthropicProvider, + OpenAIProvider, + ) + import warnings + warnings.filterwarnings("ignore", message=".*tiktoken approximation.*") + + # Create transforms based on config + transforms = [] + + if config.smart_crusher_enabled: + transforms.append(SmartCrusher(SmartCrusherConfig( + enabled=True, + min_tokens_to_crush=config.smart_crusher_min_tokens, + max_items_after_crush=config.smart_crusher_max_items, + ))) + logger.info("SmartCrusher enabled") + + if config.tool_crusher_enabled: + transforms.append(ToolCrusher(ToolCrusherConfig( + enabled=True, + ))) + logger.info("ToolCrusher enabled") + + if config.rolling_window_enabled: + transforms.append(RollingWindow(RollingWindowConfig( + enabled=True, + keep_last_turns=config.keep_turns, + ))) + logger.info("RollingWindow enabled") + + # Create provider based on config + if config.provider == "openai": + headroom_provider = OpenAIProvider() + else: + headroom_provider = AnthropicProvider() + + headroom_pipeline = TransformPipeline(transforms=transforms, provider=headroom_provider) if transforms else None + HEADROOM_AVAILABLE = headroom_pipeline is not None + logger.info(f"Headroom SDK loaded successfully with {len(transforms)} transforms (provider: {config.provider})") +except ImportError as e: + logger.warning(f"Headroom SDK not available: {e}. Using basic compression.") + headroom_pipeline = None + HEADROOM_AVAILABLE = False + +# CCR Store (in-memory with TTL) +ccr_store: Dict[str, Dict[str, Any]] = {} + +# Metrics +metrics = { + "requests_total": 0, + "compressions_applied": 0, + "compressions_skipped": 0, + "errors": 0, + "ccr_stores": 0, + "ccr_retrievals": 0, + "total_tokens_before": 0, + "total_tokens_after": 0, + "start_time": datetime.utcnow().isoformat(), +} + + +# Request/Response models +class CompressRequest(BaseModel): + messages: List[Dict[str, Any]] + tools: Optional[List[Dict[str, Any]]] = None + model: Optional[str] = "claude-3-5-sonnet-20241022" + model_limit: Optional[int] = 200000 + mode: Optional[str] = None + token_budget: Optional[int] = None + query_context: Optional[str] = None + preserve_recent_turns: Optional[int] = None + target_ratio: Optional[float] = None + + +class CompressResponse(BaseModel): + messages: List[Dict[str, Any]] + tools: Optional[List[Dict[str, Any]]] = None + compressed: bool + stats: Dict[str, Any] + + +class CCRRetrieveRequest(BaseModel): + hash: str + query: Optional[str] = None + max_results: Optional[int] = 20 + + +class CCRRetrieveResponse(BaseModel): + success: bool + content: Optional[Any] = None + items_retrieved: int = 0 + was_search: bool = False + error: Optional[str] = None + + +def estimate_tokens(data: Any) -> int: + """Estimate token count (rough approximation: ~4 chars per token)""" + text = json.dumps(data) if not isinstance(data, str) else data + return len(text) // 4 + + +def generate_hash(content: Any) -> str: + """Generate hash for CCR storage""" + text = json.dumps(content, sort_keys=True) + return hashlib.sha256(text.encode()).hexdigest()[:12] + + +def cleanup_expired_ccr(): + """Remove expired CCR entries""" + now = time.time() + expired = [k for k, v in ccr_store.items() if now - v["timestamp"] > config.ccr_ttl] + for key in expired: + del ccr_store[key] + + +def basic_compress(messages: List[Dict], tools: Optional[List] = None) -> Dict: + """Basic compression when Headroom SDK is not available""" + tokens_before = estimate_tokens(messages) + compressed_messages = [] + + for msg in messages: + compressed_msg = msg.copy() + + # Compress large tool results + if msg.get("role") == "user" and isinstance(msg.get("content"), list): + new_content = [] + for block in msg["content"]: + if block.get("type") == "tool_result": + content = block.get("content", "") + if isinstance(content, str) and len(content) > 2000: + # Store in CCR and replace with reference + hash_key = generate_hash(content) + ccr_store[hash_key] = { + "content": content, + "timestamp": time.time(), + "tool_name": block.get("tool_use_id", "unknown"), + } + metrics["ccr_stores"] += 1 + block = block.copy() + block["content"] = ( + f"[CCR:{hash_key}] Content compressed ({len(content)} chars). " + f"Use ccr_retrieve to access full content." + ) + new_content.append(block) + compressed_msg["content"] = new_content + compressed_messages.append(compressed_msg) + + tokens_after = estimate_tokens(compressed_messages) + + return { + "messages": compressed_messages, + "tools": tools, + "compressed": tokens_after < tokens_before, + "stats": { + "tokens_before": tokens_before, + "tokens_after": tokens_after, + "tokens_saved": tokens_before - tokens_after, + "savings_percent": round( + (1 - tokens_after / tokens_before) * 100, 1 + ) if tokens_before > 0 else 0, + "transforms_applied": ["basic_ccr"] if tokens_after < tokens_before else [], + "latency_ms": 0, + }, + } + + +@app.get("/health") +async def health_check(): + """Health check endpoint""" + cleanup_expired_ccr() + return { + "status": "healthy", + "headroom_loaded": HEADROOM_AVAILABLE, + "ccr_enabled": config.ccr_enabled, + "llmlingua_enabled": config.llmlingua_enabled, + "entries_cached": len(ccr_store), + "config": config.to_dict(), + } + + +@app.get("/metrics") +async def get_metrics(): + """Get compression metrics""" + return { + **metrics, + "average_compression_ratio": ( + round(metrics["total_tokens_after"] / metrics["total_tokens_before"], 3) + if metrics["total_tokens_before"] > 0 + else 1.0 + ), + "ccr_entries": len(ccr_store), + "uptime_seconds": ( + datetime.utcnow() - datetime.fromisoformat(metrics["start_time"]) + ).total_seconds(), + } + + +@app.post("/compress", response_model=CompressResponse) +async def compress_messages(request: CompressRequest): + """Compress messages and tools""" + start_time = time.time() + metrics["requests_total"] += 1 + + try: + tokens_before = estimate_tokens(request.messages) + metrics["total_tokens_before"] += tokens_before + + # Skip if below minimum tokens + if tokens_before < config.smart_crusher_min_tokens: + metrics["compressions_skipped"] += 1 + return CompressResponse( + messages=request.messages, + tools=request.tools, + compressed=False, + stats={ + "skipped": True, + "reason": f"Below threshold ({tokens_before} < {config.smart_crusher_min_tokens})", + }, + ) + + # Use Headroom SDK if available + if HEADROOM_AVAILABLE and headroom_pipeline: + try: + result = headroom_pipeline.apply( + request.messages, + model=request.model, + model_limit=request.model_limit, + ) + + # Extract messages from TransformResult + if hasattr(result, 'messages'): + compressed_messages = result.messages + # transforms_applied may be strings or objects with .name + if hasattr(result, 'transforms_applied'): + transforms_applied = [t if isinstance(t, str) else getattr(t, 'name', str(t)) for t in result.transforms_applied] + else: + transforms_applied = [] + elif isinstance(result, dict): + compressed_messages = result.get("messages", request.messages) + transforms_applied = result.get("transforms", []) + else: + compressed_messages = result if isinstance(result, list) else request.messages + transforms_applied = [] + + tokens_after = estimate_tokens(compressed_messages) + metrics["total_tokens_after"] += tokens_after + metrics["compressions_applied"] += 1 + + return CompressResponse( + messages=compressed_messages, + tools=request.tools, # Tools not modified by current transforms + compressed=tokens_after < tokens_before, + stats={ + "tokens_before": tokens_before, + "tokens_after": tokens_after, + "tokens_saved": tokens_before - tokens_after, + "savings_percent": round( + (1 - tokens_after / tokens_before) * 100, 1 + ) if tokens_before > 0 else 0, + "transforms_applied": transforms_applied, + "latency_ms": round((time.time() - start_time) * 1000, 1), + }, + ) + except Exception as e: + logger.warning(f"Headroom SDK error, falling back to basic: {e}") + + # Fallback to basic compression + result = basic_compress(request.messages, request.tools) + metrics["total_tokens_after"] += result["stats"]["tokens_after"] + if result["compressed"]: + metrics["compressions_applied"] += 1 + else: + metrics["compressions_skipped"] += 1 + + result["stats"]["latency_ms"] = round((time.time() - start_time) * 1000, 1) + return CompressResponse(**result) + + except Exception as e: + metrics["errors"] += 1 + logger.error(f"Compression error: {e}") + raise HTTPException(status_code=500, detail=str(e)) + + +@app.post("/ccr/retrieve", response_model=CCRRetrieveResponse) +async def ccr_retrieve(request: CCRRetrieveRequest): + """Retrieve content from CCR store""" + cleanup_expired_ccr() + + if request.hash not in ccr_store: + return CCRRetrieveResponse( + success=False, + error=f"Hash {request.hash} not found or expired", + ) + + entry = ccr_store[request.hash] + content = entry["content"] + metrics["ccr_retrievals"] += 1 + + # If query provided, search within content + if request.query: + if isinstance(content, list): + # Filter list items by query + filtered = [ + item + for item in content + if request.query.lower() in json.dumps(item).lower() + ][: request.max_results] + return CCRRetrieveResponse( + success=True, + content=filtered, + items_retrieved=len(filtered), + was_search=True, + ) + elif isinstance(content, str): + # Return content if query matches + if request.query.lower() in content.lower(): + return CCRRetrieveResponse( + success=True, + content=content, + items_retrieved=1, + was_search=True, + ) + return CCRRetrieveResponse( + success=False, + error="Query not found in content", + ) + + # Return full content + return CCRRetrieveResponse( + success=True, + content=content, + items_retrieved=1 if not isinstance(content, list) else len(content), + was_search=False, + ) + + +@app.post("/ccr/track") +async def ccr_track( + hash_key: str, + turn_number: int, + tool_name: str, + sample: str, +): + """Track compression for proactive expansion""" + return {"tracked": True, "hash_key": hash_key} + + +@app.post("/ccr/analyze") +async def ccr_analyze(query: str, turn_number: int): + """Analyze query for proactive CCR expansion""" + # Simple keyword matching for expansion suggestions + expansions = [] + for hash_key, entry in ccr_store.items(): + if query.lower() in json.dumps(entry["content"]).lower(): + expansions.append( + { + "hash": hash_key, + "tool_name": entry.get("tool_name", "unknown"), + "relevance": 0.8, + } + ) + return {"expansions": expansions[:5]} + + +@app.post("/compress/llmlingua") +async def llmlingua_compress( + text: str, + target_ratio: float = 0.5, + force_tokens: Optional[str] = None, +): + """Compress text using LLMLingua (if available)""" + if not config.llmlingua_enabled: + raise HTTPException(status_code=400, detail="LLMLingua is not enabled") + + try: + # Try to import and use llmlingua + from llmlingua import PromptCompressor + + compressor = PromptCompressor(device_map=config.llmlingua_device) + result = compressor.compress_prompt( + text, + rate=target_ratio, + force_tokens=json.loads(force_tokens) if force_tokens else None, + ) + return { + "compressed": result["compressed_prompt"], + "original_tokens": result.get("origin_tokens", len(text) // 4), + "compressed_tokens": result.get("compressed_tokens", len(result["compressed_prompt"]) // 4), + "ratio": result.get("rate", target_ratio), + } + except ImportError: + raise HTTPException( + status_code=501, + detail="LLMLingua not installed. Add llmlingua to requirements.txt", + ) + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) + + +if __name__ == "__main__": + logger.info(f"Starting Headroom sidecar on {config.host}:{config.port}") + logger.info(f"Configuration: {json.dumps(config.to_dict(), indent=2)}") + uvicorn.run( + app, + host=config.host, + port=config.port, + log_level=config.log_level, + ) diff --git a/package-lock.json b/package-lock.json index 4fe532f..e157950 100644 --- a/package-lock.json +++ b/package-lock.json @@ -1,18 +1,19 @@ { "name": "lynkr", - "version": "4.2.0", + "version": "5.0.0", "lockfileVersion": 3, "requires": true, "packages": { "": { "name": "lynkr", - "version": "4.2.0", + "version": "5.0.0", "license": "Apache-2.0", "dependencies": { "@azure/openai": "^2.0.0", "better-sqlite3": "^9.4.0", "compression": "^1.7.4", "diff": "^5.2.0", + "dockerode": "^4.0.2", "dotenv": "^16.4.5", "express": "^5.1.0", "express-rate-limit": "^8.2.1", @@ -153,6 +154,12 @@ "node": 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"resolved": "https://registry.npmjs.org/bytes/-/bytes-3.1.2.tgz", @@ -856,6 +890,20 @@ "node": ">=6.6.0" } }, + "node_modules/cpu-features": { + "version": "0.0.10", + "resolved": "https://registry.npmjs.org/cpu-features/-/cpu-features-0.0.10.tgz", + "integrity": "sha512-9IkYqtX3YHPCzoVg1Py+o9057a3i0fp7S530UWokCSaFVTc7CwXPRiOjRjBQQ18ZCNafx78YfnG+HALxtVmOGA==", + "hasInstallScript": true, + "optional": true, + "dependencies": { + "buildcheck": "~0.0.6", + "nan": "^2.19.0" + }, + "engines": { + "node": ">=10.0.0" + } + }, "node_modules/cross-spawn": { "version": "7.0.6", "resolved": "https://registry.npmjs.org/cross-spawn/-/cross-spawn-7.0.6.tgz", @@ -956,6 +1004,61 @@ "node": ">=0.3.1" } }, + "node_modules/docker-modem": { + "version": "5.0.6", + "resolved": "https://registry.npmjs.org/docker-modem/-/docker-modem-5.0.6.tgz", + "integrity": "sha512-ens7BiayssQz/uAxGzH8zGXCtiV24rRWXdjNha5V4zSOcxmAZsfGVm/PPFbwQdqEkDnhG+SyR9E3zSHUbOKXBQ==", + "license": "Apache-2.0", + "dependencies": { + "debug": "^4.1.1", + "readable-stream": "^3.5.0", + "split-ca": "^1.0.1", + "ssh2": "^1.15.0" + }, + "engines": { + "node": ">= 8.0" + } + }, + "node_modules/docker-modem/node_modules/readable-stream": { + "version": "3.6.2", + "resolved": "https://registry.npmjs.org/readable-stream/-/readable-stream-3.6.2.tgz", + "integrity": "sha512-9u/sniCrY3D5WdsERHzHE4G2YCXqoG5FTHUiCC4SIbr6XcLZBY05ya9EKjYek9O5xOAwjGq+1JdGBAS7Q9ScoA==", + "license": "MIT", + "dependencies": { + "inherits": "^2.0.3", + "string_decoder": "^1.1.1", + "util-deprecate": "^1.0.1" + }, + "engines": { + "node": ">= 6" + } + }, + "node_modules/dockerode": { + "version": "4.0.2", + "resolved": "https://registry.npmjs.org/dockerode/-/dockerode-4.0.2.tgz", + "integrity": "sha512-9wM1BVpVMFr2Pw3eJNXrYYt6DT9k0xMcsSCjtPvyQ+xa1iPg/Mo3T/gUcwI0B2cczqCeCYRPF8yFYDwtFXT0+w==", + "license": "Apache-2.0", + "dependencies": { + "@balena/dockerignore": "^1.0.2", + "docker-modem": "^5.0.3", + "tar-fs": "~2.0.1" + }, + "engines": { + "node": ">= 8.0" + } + }, + "node_modules/dockerode/node_modules/tar-fs": { + "version": "2.0.1", + "resolved": "https://registry.npmjs.org/tar-fs/-/tar-fs-2.0.1.tgz", + "integrity": "sha512-6tzWDMeroL87uF/+lin46k+Q+46rAJ0SyPGz7OW7wTgblI273hsBqk2C1j0/xNadNLKDTUL9BukSjB7cwgmlPA==", + "license": "MIT", + "dependencies": { + "chownr": "^1.1.1", + "mkdirp-classic": "^0.5.2", + "pump": "^3.0.0", + "tar-stream": "^2.0.0" + } + }, "node_modules/doctrine": { "version": "3.0.0", "resolved": "https://registry.npmjs.org/doctrine/-/doctrine-3.0.0.tgz", @@ -3080,6 +3183,12 @@ "atomic-sleep": "^1.0.0" } }, + "node_modules/split-ca": { + "version": "1.0.1", + "resolved": "https://registry.npmjs.org/split-ca/-/split-ca-1.0.1.tgz", + "integrity": "sha512-Q5thBSxp5t8WPTTJQS59LrGqOZqOsrhDGDVm8azCqIBjSBd7nd9o2PM+mDulQQkh8h//4U6hFZnc/mul8t5pWQ==", + "license": "ISC" + }, "node_modules/split2": { "version": "4.2.0", "resolved": "https://registry.npmjs.org/split2/-/split2-4.2.0.tgz", @@ -3089,6 +3198,23 @@ "node": ">= 10.x" } }, + "node_modules/ssh2": { + "version": "1.17.0", + "resolved": "https://registry.npmjs.org/ssh2/-/ssh2-1.17.0.tgz", + "integrity": "sha512-wPldCk3asibAjQ/kziWQQt1Wh3PgDFpC0XpwclzKcdT1vql6KeYxf5LIt4nlFkUeR8WuphYMKqUA56X4rjbfgQ==", + "hasInstallScript": true, + "dependencies": { + "asn1": "^0.2.6", + "bcrypt-pbkdf": "^1.0.2" + }, + "engines": { + "node": ">=10.16.0" + }, + "optionalDependencies": { + "cpu-features": "~0.0.10", + "nan": "^2.23.0" + } + }, "node_modules/statuses": { "version": "2.0.2", "resolved": "https://registry.npmjs.org/statuses/-/statuses-2.0.2.tgz", @@ -3295,6 +3421,12 @@ "node": "*" } }, + "node_modules/tweetnacl": { + "version": "0.14.5", + "resolved": "https://registry.npmjs.org/tweetnacl/-/tweetnacl-0.14.5.tgz", + "integrity": "sha512-KXXFFdAbFXY4geFIwoyNK+f5Z1b7swfXABfL7HXCmoIWMKU3dmS26672A4EeQtDzLKy7SXmfBu51JolvEKwtGA==", + "license": "Unlicense" + }, "node_modules/type-check": { "version": "0.4.0", "resolved": "https://registry.npmjs.org/type-check/-/type-check-0.4.0.tgz", diff --git a/package.json b/package.json index 5a9d6d2..a6798ac 100644 --- a/package.json +++ b/package.json @@ -8,7 +8,9 @@ "lynkr-setup": "./scripts/setup.js" }, "scripts": { - "start": "node index.js", + "prestart": "docker compose --profile headroom up -d headroom 2>/dev/null || echo 'Headroom container not started (Docker may not be running)'", + "start": "node index.js 2>&1 | npx pino-pretty --sync", + "stop": "docker compose --profile headroom down", "dev": "nodemon index.js", "lint": "eslint src index.js", "test": "npm run test:unit && npm run test:performance", @@ -46,6 +48,7 @@ "better-sqlite3": "^9.4.0", "compression": "^1.7.4", "diff": "^5.2.0", + "dockerode": "^4.0.2", "dotenv": "^16.4.5", "express": "^5.1.0", "express-rate-limit": "^8.2.1", diff --git a/src/api/health.js b/src/api/health.js index fa60395..aea436a 100644 --- a/src/api/health.js +++ b/src/api/health.js @@ -2,6 +2,7 @@ const Database = require("better-sqlite3"); const { invokeModel } = require("../clients/databricks"); const logger = require("../logger"); const config = require("../config"); +const { getHeadroomManager } = require("../headroom"); /** * Health check endpoints @@ -65,6 +66,32 @@ async function readinessCheck(req, res) { allHealthy = false; } + // Check Headroom (if enabled) + if (config.headroom?.enabled) { + try { + const headroomManager = getHeadroomManager(); + const headroomHealth = await headroomManager.getHealth(); + checks.headroom = { + healthy: headroomHealth.healthy, + enabled: headroomHealth.enabled, + service: headroomHealth.service?.available ? "available" : "unavailable", + docker: headroomHealth.docker?.running ? "running" : "stopped", + error: headroomHealth.error, + }; + // Don't fail overall health if Headroom is unavailable + // It's a non-critical service - compression will be skipped + if (!headroomHealth.healthy) { + checks.headroom.note = "Compression will be skipped"; + } + } catch (err) { + checks.headroom = { + healthy: false, + error: err.message, + note: "Compression will be skipped", + }; + } + } + // Optional: Check provider (can be slow) if (req.query.deep === "true") { const provider = config.modelProvider?.type || "databricks"; diff --git a/src/api/router.js b/src/api/router.js index 8c15c21..894a99d 100644 --- a/src/api/router.js +++ b/src/api/router.js @@ -595,4 +595,65 @@ router.use("/v1", openaiRouter); // These provide /v1/models and /v1/providers for Claude Code CLI compatibility router.use("/v1", providersRouter); +// Headroom compression endpoints +router.get("/metrics/compression", async (req, res) => { + try { + const { getCombinedMetrics } = require("../headroom"); + const metrics = await getCombinedMetrics(); + res.json(metrics); + } catch (error) { + res.status(500).json({ error: error.message }); + } +}); + +router.get("/health/headroom", async (req, res) => { + try { + const { getHeadroomManager } = require("../headroom"); + const manager = getHeadroomManager(); + const health = await manager.getHealth(); + res.status(health.healthy ? 200 : 503).json(health); + } catch (error) { + res.status(500).json({ error: error.message }); + } +}); + +router.get("/headroom/status", async (req, res) => { + try { + const { getHeadroomManager } = require("../headroom"); + const manager = getHeadroomManager(); + const status = await manager.getDetailedStatus(); + res.json(status); + } catch (error) { + res.status(500).json({ error: error.message }); + } +}); + +router.post("/headroom/restart", async (req, res) => { + try { + const { getHeadroomManager } = require("../headroom"); + const manager = getHeadroomManager(); + const result = await manager.restart(); + res.json({ success: true, ...result }); + } catch (error) { + res.status(500).json({ error: error.message }); + } +}); + +router.get("/headroom/logs", async (req, res) => { + try { + const { getHeadroomManager } = require("../headroom"); + const manager = getHeadroomManager(); + const tail = parseInt(req.query.tail || "100", 10); + const logs = await manager.getLogs(tail); + + if (logs === null) { + return res.status(400).json({ error: "Docker management is disabled" }); + } + + res.type("text/plain").send(logs); + } catch (error) { + res.status(500).json({ error: error.message }); + } +}); + module.exports = router; diff --git a/src/cache/prompt.js b/src/cache/prompt.js index 4fb8e72..c8d4592 100644 --- a/src/cache/prompt.js +++ b/src/cache/prompt.js @@ -46,6 +46,7 @@ class PromptCache { ? options.pruneIntervalMs : 300000; this.pruneTimer = null; + this.isClosed = false; // Track if database has been closed // Initialize persistent cache database if (this.enabled) { @@ -169,16 +170,21 @@ class PromptCache { } pruneExpired() { - if (!this.enabled || !this.db) return; + if (!this.enabled || !this.db || this.isClosed) return; if (this.ttlMs <= 0) return; try { + // Check if database is still open + if (!this.db.open) return; const now = Date.now(); const result = this.deleteExpiredStmt.run(now); if (result.changes > 0) { logger.debug({ deleted: result.changes }, "Pruned expired cache entries"); } } catch (error) { - logger.warn({ err: error }, "Failed to prune expired cache entries"); + // Only log if not a "connection closed" error during shutdown + if (!this.isClosed) { + logger.warn({ err: error }, "Failed to prune expired cache entries"); + } } } @@ -361,15 +367,27 @@ class PromptCache { // Cleanup method close() { - this.stopPruning(); // Stop pruning first - if (this.db) { + if (this.isClosed) return; // Already closed + this.stopPruning(); // Stop pruning timer first + + if (this.db && this.db.open) { try { - this.pruneExpired(); // Final cleanup + // Final prune before closing (direct call, not through pruneExpired) + if (this.ttlMs > 0 && this.deleteExpiredStmt) { + const result = this.deleteExpiredStmt.run(Date.now()); + if (result.changes > 0) { + logger.debug({ deleted: result.changes }, "Final cache prune on close"); + } + } this.db.close(); + logger.debug("Prompt cache database closed"); } catch (error) { - logger.warn({ err: error }, "Failed to close cache database"); + // Ignore errors during shutdown - database may already be closed + logger.debug({ err: error }, "Cache database close (may already be closed)"); } } + + this.isClosed = true; // Mark as closed after cleanup } } diff --git a/src/clients/databricks.js b/src/clients/databricks.js index d8b8e24..93128af 100644 --- a/src/clients/databricks.js +++ b/src/clients/databricks.js @@ -500,11 +500,91 @@ async function invokeAzureOpenAI(body) { return performJsonRequest(endpoint, { headers, body: azureBody }, "Azure OpenAI"); } else if (format === "responses") { - azureBody.max_completion_tokens = azureBody.max_tokens; - delete azureBody.max_tokens; - delete azureBody.temperature; - delete azureBody.top_p; - return performJsonRequest(endpoint, { headers, body: azureBody }, "Azure OpenAI"); + // Responses API uses 'input' instead of 'messages' and flat tool format + // Convert tools from Chat Completions format to Responses API format + const responsesTools = azureBody.tools?.map(tool => { + if (tool.type === "function" && tool.function) { + // Flatten: {type:"function", function:{name,description,parameters}} -> {type:"function", name, description, parameters} + return { + type: "function", + name: tool.function.name, + description: tool.function.description, + parameters: tool.function.parameters + }; + } + return tool; + }); + + const responsesBody = { + input: azureBody.messages, + model: azureBody.model, + max_output_tokens: azureBody.max_tokens, + tools: responsesTools, + tool_choice: azureBody.tool_choice, + stream: false + }; + logger.info({ + format: "responses", + inputCount: responsesBody.input?.length, + model: responsesBody.model, + hasTools: !!responsesBody.tools + }, "Using Responses API format"); + + const result = await performJsonRequest(endpoint, { headers, body: responsesBody }, "Azure OpenAI Responses"); + + // Convert Responses API response to Chat Completions format + if (result.ok && result.json?.output) { + const outputArray = result.json.output || []; + + // Find message output (contains text content) + const messageOutput = outputArray.find(o => o.type === "message"); + const textContent = messageOutput?.content?.find(c => c.type === "output_text")?.text || ""; + + // Find function_call outputs (tool calls are separate items in output array) + const toolCalls = outputArray + .filter(o => o.type === "function_call") + .map(tc => ({ + id: tc.call_id || tc.id || `call_${Date.now()}`, + type: "function", + function: { + name: tc.name, + arguments: typeof tc.arguments === 'string' ? tc.arguments : JSON.stringify(tc.arguments || {}) + } + })); + + logger.info({ + outputTypes: outputArray.map(o => o.type), + hasMessage: !!messageOutput, + toolCallCount: toolCalls.length, + toolCallNames: toolCalls.map(tc => tc.function.name) + }, "Parsing Responses API output"); + + // Convert to Chat Completions format + result.json = { + id: result.json.id, + object: "chat.completion", + created: result.json.created_at, + model: result.json.model, + choices: [{ + index: 0, + message: { + role: "assistant", + content: textContent, + tool_calls: toolCalls.length > 0 ? toolCalls : undefined + }, + finish_reason: toolCalls.length > 0 ? "tool_calls" : "stop" + }], + usage: result.json.usage + }; + + logger.info({ + convertedContent: textContent?.substring(0, 100), + hasToolCalls: toolCalls.length > 0, + toolCallCount: toolCalls.length + }, "Converted Responses API to Chat Completions format"); + } + + return result; } else { throw new Error(`Unsupported Azure OpenAI endpoint format: ${format}`); @@ -1167,9 +1247,9 @@ function convertOpenAIToAnthropic(response) { const hasToolCalls = Array.isArray(message.tool_calls) && message.tool_calls.length > 0; if (message.content) { content.push({ type: "text", text: message.content }); - } else if (message.reasoning_content && !message.content && !hasToolCalls) { - // Z.AI returns reasoning in reasoning_content - if no final content AND no tool calls, use a placeholder - content.push({ type: "text", text: "[Model is still thinking - increase max_tokens for complete response]" }); + } else if (message.reasoning_content && !message.content) { + // Thinking models (Kimi-K2, o1, etc.) return response in reasoning_content + content.push({ type: "text", text: message.reasoning_content }); } // Convert tool calls diff --git a/src/config/index.js b/src/config/index.js index 63efb76..e823fdb 100644 --- a/src/config/index.js +++ b/src/config/index.js @@ -185,6 +185,40 @@ const smartToolSelectionTokenBudget = Number.parseInt( 10 ); +// Headroom sidecar configuration +const headroomEnabled = process.env.HEADROOM_ENABLED === "true"; +const headroomEndpoint = process.env.HEADROOM_ENDPOINT?.trim() || "http://localhost:8787"; +const headroomTimeoutMs = Number.parseInt(process.env.HEADROOM_TIMEOUT_MS ?? "5000", 10); +const headroomMinTokens = Number.parseInt(process.env.HEADROOM_MIN_TOKENS ?? "500", 10); +const headroomMode = (process.env.HEADROOM_MODE ?? "optimize").toLowerCase(); + +// Headroom Docker container configuration +const headroomDockerEnabled = process.env.HEADROOM_DOCKER_ENABLED !== "false"; // default true when headroom enabled +const headroomDockerImage = process.env.HEADROOM_DOCKER_IMAGE ?? "lynkr/headroom-sidecar:latest"; +const headroomDockerContainerName = process.env.HEADROOM_DOCKER_CONTAINER_NAME ?? "lynkr-headroom"; +const headroomDockerPort = Number.parseInt(process.env.HEADROOM_DOCKER_PORT ?? "8787", 10); +const headroomDockerMemoryLimit = process.env.HEADROOM_DOCKER_MEMORY_LIMIT ?? "512m"; +const headroomDockerCpuLimit = process.env.HEADROOM_DOCKER_CPU_LIMIT ?? "1.0"; +const headroomDockerRestartPolicy = process.env.HEADROOM_DOCKER_RESTART_POLICY ?? "unless-stopped"; +const headroomDockerNetwork = process.env.HEADROOM_DOCKER_NETWORK ?? null; +const headroomDockerBuildContext = process.env.HEADROOM_DOCKER_BUILD_CONTEXT ?? "./headroom-sidecar"; +const headroomDockerAutoBuild = process.env.HEADROOM_DOCKER_AUTO_BUILD === "true"; + +// Headroom transform configuration (passed to sidecar) +const headroomSmartCrusher = process.env.HEADROOM_SMART_CRUSHER !== "false"; +const headroomSmartCrusherMinTokens = Number.parseInt(process.env.HEADROOM_SMART_CRUSHER_MIN_TOKENS ?? "200", 10); +const headroomSmartCrusherMaxItems = Number.parseInt(process.env.HEADROOM_SMART_CRUSHER_MAX_ITEMS ?? "15", 10); +const headroomToolCrusher = process.env.HEADROOM_TOOL_CRUSHER !== "false"; +const headroomCacheAligner = process.env.HEADROOM_CACHE_ALIGNER !== "false"; +const headroomRollingWindow = process.env.HEADROOM_ROLLING_WINDOW !== "false"; +const headroomKeepTurns = Number.parseInt(process.env.HEADROOM_KEEP_TURNS ?? "3", 10); +const headroomCcrEnabled = process.env.HEADROOM_CCR !== "false"; +const headroomCcrTtl = Number.parseInt(process.env.HEADROOM_CCR_TTL ?? "300", 10); +const headroomLlmlingua = process.env.HEADROOM_LLMLINGUA === "true"; +const headroomLlmlinguaDevice = process.env.HEADROOM_LLMLINGUA_DEVICE ?? "auto"; +const headroomProvider = process.env.HEADROOM_PROVIDER ?? "anthropic"; +const headroomLogLevel = process.env.HEADROOM_LOG_LEVEL ?? "info"; + // Only require Databricks credentials if it's the primary provider or used as fallback if (modelProvider === "databricks" && (!rawBaseUrl || !apiKey)) { throw new Error("Set DATABRICKS_API_BASE and DATABRICKS_API_KEY before starting the proxy."); @@ -668,6 +702,44 @@ const config = { tokenBudget: smartToolSelectionTokenBudget, minimalMode: false, // HARDCODED - disabled }, + headroom: { + enabled: headroomEnabled, + endpoint: headroomEndpoint, + timeoutMs: Number.isNaN(headroomTimeoutMs) ? 5000 : headroomTimeoutMs, + minTokens: Number.isNaN(headroomMinTokens) ? 500 : headroomMinTokens, + mode: headroomMode, + docker: { + enabled: headroomDockerEnabled, + image: headroomDockerImage, + containerName: headroomDockerContainerName, + port: Number.isNaN(headroomDockerPort) ? 8787 : headroomDockerPort, + memoryLimit: headroomDockerMemoryLimit, + cpuLimit: headroomDockerCpuLimit, + restartPolicy: headroomDockerRestartPolicy, + network: headroomDockerNetwork, + buildContext: headroomDockerBuildContext, + autoBuild: headroomDockerAutoBuild, + }, + transforms: { + smartCrusher: headroomSmartCrusher, + smartCrusherMinTokens: Number.isNaN(headroomSmartCrusherMinTokens) ? 200 : headroomSmartCrusherMinTokens, + smartCrusherMaxItems: Number.isNaN(headroomSmartCrusherMaxItems) ? 15 : headroomSmartCrusherMaxItems, + toolCrusher: headroomToolCrusher, + cacheAligner: headroomCacheAligner, + rollingWindow: headroomRollingWindow, + keepTurns: Number.isNaN(headroomKeepTurns) ? 3 : headroomKeepTurns, + }, + ccr: { + enabled: headroomCcrEnabled, + ttlSeconds: Number.isNaN(headroomCcrTtl) ? 300 : headroomCcrTtl, + }, + llmlingua: { + enabled: headroomLlmlingua, + device: headroomLlmlinguaDevice, + }, + provider: headroomProvider, + logLevel: headroomLogLevel, + }, }; /** diff --git a/src/headroom/client.js b/src/headroom/client.js new file mode 100644 index 0000000..3e5bd37 --- /dev/null +++ b/src/headroom/client.js @@ -0,0 +1,435 @@ +/** + * Headroom Sidecar HTTP Client + * + * HTTP client for communicating with the Headroom compression sidecar. + * Provides message compression, CCR retrieval, and metrics collection. + */ + +const logger = require("../logger"); +const config = require("../config"); + +// Metrics tracking +const metrics = { + totalCalls: 0, + successfulCompressions: 0, + skippedCompressions: 0, + failures: 0, + totalTokensSaved: 0, + totalLatencyMs: 0, + ccrRetrievals: 0, + ccrSearches: 0, +}; + +/** + * Get Headroom configuration + */ +function getConfig() { + return config.headroom; +} + +/** + * Check if Headroom is enabled + */ +function isEnabled() { + return config.headroom?.enabled === true; +} + +/** + * Check if Headroom sidecar is healthy + */ +async function checkHealth() { + const headroomConfig = getConfig(); + + if (!isEnabled()) { + return { available: false, reason: "disabled" }; + } + + try { + const controller = new AbortController(); + const timeout = setTimeout(() => controller.abort(), 2000); + + const response = await fetch(`${headroomConfig.endpoint}/health`, { + signal: controller.signal, + }); + clearTimeout(timeout); + + if (response.ok) { + const data = await response.json(); + return { + available: data.headroom_loaded === true, + status: data.status, + ccrEnabled: data.ccr_enabled, + llmlinguaEnabled: data.llmlingua_enabled, + entriesCached: data.entries_cached, + }; + } + return { available: false, reason: "unhealthy", status: response.status }; + } catch (err) { + return { available: false, reason: err.message }; + } +} + +/** + * Estimate tokens in messages (rough approximation: ~4 chars per token) + */ +function estimateTokens(messages) { + const text = JSON.stringify(messages); + return Math.ceil(text.length / 4); +} + +/** + * Compress messages using Headroom sidecar + * + * @param {Array} messages - Chat messages in Anthropic format + * @param {Array} tools - Tool definitions + * @param {Object} options - Compression options + * @returns {Object} { messages, tools, compressed, stats } + */ +async function compressMessages(messages, tools = [], options = {}) { + const headroomConfig = getConfig(); + metrics.totalCalls++; + + if (!isEnabled()) { + return { + messages, + tools, + compressed: false, + stats: { skipped: true, reason: "disabled" }, + }; + } + + // Estimate tokens - skip if below threshold + const estimatedTokens = estimateTokens(messages); + if (estimatedTokens < headroomConfig.minTokens) { + metrics.skippedCompressions++; + return { + messages, + tools, + compressed: false, + stats: { + skipped: true, + reason: `Below threshold (${estimatedTokens} < ${headroomConfig.minTokens})`, + }, + }; + } + + try { + const controller = new AbortController(); + const timeout = setTimeout(() => controller.abort(), headroomConfig.timeoutMs); + + const response = await fetch(`${headroomConfig.endpoint}/compress`, { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify({ + messages, + tools, + model: options.model || "claude-3-5-sonnet-20241022", + model_limit: options.modelLimit || 200000, + mode: options.mode || headroomConfig.mode, + token_budget: options.tokenBudget, + query_context: options.queryContext, + preserve_recent_turns: options.preserveRecentTurns, + target_ratio: options.targetRatio, + }), + signal: controller.signal, + }); + + clearTimeout(timeout); + + if (!response.ok) { + const errorText = await response.text(); + throw new Error(`Headroom returned ${response.status}: ${errorText}`); + } + + const result = await response.json(); + + // Update metrics + if (result.compressed) { + metrics.successfulCompressions++; + metrics.totalTokensSaved += result.stats?.tokens_saved || 0; + metrics.totalLatencyMs += result.stats?.latency_ms || 0; + + logger.info( + { + tokensBefore: result.stats?.tokens_before, + tokensAfter: result.stats?.tokens_after, + savingsPercent: result.stats?.savings_percent, + latencyMs: result.stats?.latency_ms, + transforms: result.stats?.transforms_applied, + }, + "Headroom compression applied" + ); + } else { + metrics.skippedCompressions++; + logger.debug({ reason: result.stats?.reason }, "Headroom compression skipped"); + } + + return { + messages: result.messages, + tools: result.tools, + compressed: result.compressed, + stats: result.stats, + }; + } catch (err) { + metrics.failures++; + + if (err.name === "AbortError") { + logger.warn({ timeoutMs: headroomConfig.timeoutMs }, "Headroom compression timed out"); + } else { + logger.warn({ error: err.message }, "Headroom compression failed, using original"); + } + + return { + messages, + tools, + compressed: false, + stats: { skipped: true, reason: err.message }, + }; + } +} + +/** + * Retrieve original content from CCR store + * + * @param {string} hash - Hash key from compression marker + * @param {string} query - Optional search query to filter results + * @param {number} maxResults - Maximum results for search (default 20) + * @returns {Object} { success, content, itemsRetrieved, wasSearch, error } + */ +async function ccrRetrieve(hash, query = null, maxResults = 20) { + const headroomConfig = getConfig(); + + if (!isEnabled()) { + return { success: false, error: "Headroom disabled" }; + } + + try { + const controller = new AbortController(); + const timeout = setTimeout(() => controller.abort(), headroomConfig.timeoutMs); + + const response = await fetch(`${headroomConfig.endpoint}/ccr/retrieve`, { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify({ hash, query, max_results: maxResults }), + signal: controller.signal, + }); + + clearTimeout(timeout); + + if (!response.ok) { + throw new Error(`CCR retrieve returned ${response.status}`); + } + + const result = await response.json(); + + if (result.success) { + if (result.was_search) { + metrics.ccrSearches++; + logger.debug({ hash, query, items: result.items_retrieved }, "CCR search completed"); + } else { + metrics.ccrRetrievals++; + logger.debug({ hash, items: result.items_retrieved }, "CCR retrieval completed"); + } + } + + return { + success: result.success, + content: result.content, + itemsRetrieved: result.items_retrieved || 0, + wasSearch: result.was_search || false, + error: result.error, + }; + } catch (err) { + logger.error({ error: err.message, hash }, "CCR retrieval failed"); + return { success: false, error: err.message }; + } +} + +/** + * Track compression for proactive CCR expansion + */ +async function ccrTrack(hashKey, turnNumber, toolName, sample) { + const headroomConfig = getConfig(); + + if (!isEnabled()) { + return { tracked: false }; + } + + try { + const params = new URLSearchParams({ + hash_key: hashKey, + turn_number: String(turnNumber), + tool_name: toolName, + sample: sample.substring(0, 500), + }); + + const response = await fetch(`${headroomConfig.endpoint}/ccr/track?${params}`, { + method: "POST", + signal: AbortSignal.timeout(2000), + }); + + if (response.ok) { + return await response.json(); + } + return { tracked: false }; + } catch (err) { + logger.debug({ error: err.message }, "CCR tracking failed"); + return { tracked: false }; + } +} + +/** + * Analyze query for proactive CCR expansion + */ +async function ccrAnalyze(query, turnNumber) { + const headroomConfig = getConfig(); + + if (!isEnabled()) { + return { expansions: [] }; + } + + try { + const response = await fetch(`${headroomConfig.endpoint}/ccr/analyze`, { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify({ query, turn_number: turnNumber }), + signal: AbortSignal.timeout(2000), + }); + + if (response.ok) { + return await response.json(); + } + return { expansions: [] }; + } catch (err) { + logger.debug({ error: err.message }, "CCR analysis failed"); + return { expansions: [] }; + } +} + +/** + * Compress text using LLMLingua-2 ML compression + * (Optional - requires LLMLingua enabled in sidecar) + */ +async function llmlinguaCompress(text, targetRatio = 0.5, forceTokens = null) { + const headroomConfig = getConfig(); + + if (!isEnabled()) { + return { success: false, error: "Headroom disabled" }; + } + + try { + const params = new URLSearchParams({ + text, + target_ratio: String(targetRatio), + }); + + if (forceTokens && Array.isArray(forceTokens)) { + params.append("force_tokens", JSON.stringify(forceTokens)); + } + + const response = await fetch(`${headroomConfig.endpoint}/compress/llmlingua?${params}`, { + method: "POST", + signal: AbortSignal.timeout(30000), // LLMLingua can be slow + }); + + if (!response.ok) { + const error = await response.text(); + return { success: false, error }; + } + + const result = await response.json(); + return { + success: true, + compressed: result.compressed, + originalTokens: result.original_tokens, + compressedTokens: result.compressed_tokens, + ratio: result.ratio, + }; + } catch (err) { + logger.error({ error: err.message }, "LLMLingua compression failed"); + return { success: false, error: err.message }; + } +} + +/** + * Get client-side metrics + */ +function getMetrics() { + return { + ...metrics, + averageLatencyMs: + metrics.successfulCompressions > 0 + ? Math.round(metrics.totalLatencyMs / metrics.successfulCompressions) + : 0, + compressionRate: + metrics.totalCalls > 0 + ? Math.round((metrics.successfulCompressions / metrics.totalCalls) * 100) + : 0, + failureRate: + metrics.totalCalls > 0 ? Math.round((metrics.failures / metrics.totalCalls) * 100) : 0, + }; +} + +/** + * Get server-side metrics from sidecar + */ +async function getServerMetrics() { + const headroomConfig = getConfig(); + + if (!isEnabled()) { + return null; + } + + try { + const response = await fetch(`${headroomConfig.endpoint}/metrics`, { + signal: AbortSignal.timeout(2000), + }); + + if (response.ok) { + return await response.json(); + } + return null; + } catch (err) { + logger.debug({ error: err.message }, "Failed to fetch server metrics"); + return null; + } +} + +/** + * Get combined metrics (client + server) + */ +async function getCombinedMetrics() { + const clientMetrics = getMetrics(); + const serverMetrics = await getServerMetrics(); + + return { + enabled: isEnabled(), + endpoint: getConfig().endpoint, + client: clientMetrics, + server: serverMetrics, + }; +} + +/** + * Reset client-side metrics + */ +function resetMetrics() { + Object.keys(metrics).forEach((key) => { + metrics[key] = 0; + }); +} + +module.exports = { + isEnabled, + checkHealth, + compressMessages, + ccrRetrieve, + ccrTrack, + ccrAnalyze, + llmlinguaCompress, + getMetrics, + getServerMetrics, + getCombinedMetrics, + resetMetrics, + estimateTokens, +}; diff --git a/src/headroom/health.js b/src/headroom/health.js new file mode 100644 index 0000000..759bcea --- /dev/null +++ b/src/headroom/health.js @@ -0,0 +1,163 @@ +/** + * Headroom Health Check Module + * + * Provides health check functionality for the Headroom sidecar, + * including container status and service availability checks. + */ + +const logger = require("../logger"); +const config = require("../config"); +const launcher = require("./launcher"); +const client = require("./client"); + +// Cached health status +let lastHealthCheck = null; +let lastCheckTime = 0; +const CACHE_TTL_MS = 5000; // Cache health status for 5 seconds + +/** + * Perform a comprehensive health check on the Headroom system + */ +async function checkHeadroomHealth() { + const headroomConfig = config.headroom; + const now = Date.now(); + + // Return cached result if still valid + if (lastHealthCheck && now - lastCheckTime < CACHE_TTL_MS) { + return lastHealthCheck; + } + + const result = { + enabled: headroomConfig?.enabled === true, + healthy: false, + timestamp: new Date().toISOString(), + docker: null, + service: null, + error: null, + }; + + if (!result.enabled) { + result.healthy = true; // Disabled is considered "healthy" for the overall system + result.note = "Headroom is disabled"; + lastHealthCheck = result; + lastCheckTime = now; + return result; + } + + try { + // Check Docker container status (if Docker management is enabled) + if (headroomConfig.docker?.enabled) { + const containerStatus = await launcher.getStatus(); + result.docker = { + exists: containerStatus.exists, + running: containerStatus.running, + status: containerStatus.status, + health: containerStatus.health, + id: containerStatus.id, + image: containerStatus.image, + }; + } + + // Check HTTP service health + const serviceHealth = await client.checkHealth(); + result.service = serviceHealth; + + // Determine overall health + if (serviceHealth.available) { + result.healthy = true; + } else if (headroomConfig.docker?.enabled && result.docker?.running) { + // Container is running but service not responding - might be starting up + result.healthy = false; + result.error = "Container running but service not responding"; + } else { + result.healthy = false; + result.error = serviceHealth.reason || "Service unavailable"; + } + } catch (err) { + result.healthy = false; + result.error = err.message; + logger.error({ err }, "Headroom health check failed"); + } + + lastHealthCheck = result; + lastCheckTime = now; + + return result; +} + +/** + * Simple availability check (faster than full health check) + */ +async function isAvailable() { + if (!config.headroom?.enabled) { + return false; + } + + const health = await client.checkHealth(); + return health.available === true; +} + +/** + * Wait for Headroom to become available + */ +async function waitForAvailable(maxWaitMs = 30000, intervalMs = 1000) { + const startTime = Date.now(); + + while (Date.now() - startTime < maxWaitMs) { + if (await isAvailable()) { + return true; + } + await new Promise((resolve) => setTimeout(resolve, intervalMs)); + } + + return false; +} + +/** + * Get detailed status for debugging/monitoring + */ +async function getDetailedStatus() { + const health = await checkHeadroomHealth(); + const metrics = await client.getCombinedMetrics(); + + let containerLogs = null; + if (config.headroom?.docker?.enabled) { + containerLogs = await launcher.getLogs(50); + } + + return { + health, + metrics, + config: { + enabled: config.headroom?.enabled, + endpoint: config.headroom?.endpoint, + mode: config.headroom?.mode, + minTokens: config.headroom?.minTokens, + docker: config.headroom?.docker?.enabled + ? { + enabled: true, + image: config.headroom.docker.image, + containerName: config.headroom.docker.containerName, + port: config.headroom.docker.port, + } + : { enabled: false }, + }, + recentLogs: containerLogs ? containerLogs.split("\n").slice(-20) : null, + }; +} + +/** + * Clear cached health check result + */ +function clearCache() { + lastHealthCheck = null; + lastCheckTime = 0; +} + +module.exports = { + checkHeadroomHealth, + isAvailable, + waitForAvailable, + getDetailedStatus, + clearCache, +}; diff --git a/src/headroom/index.js b/src/headroom/index.js new file mode 100644 index 0000000..aba43ed --- /dev/null +++ b/src/headroom/index.js @@ -0,0 +1,240 @@ +/** + * Headroom Sidecar Integration + * + * Main entry point for Headroom functionality in Lynkr. + * Provides singleton manager for container lifecycle and compression operations. + */ + +const logger = require("../logger"); +const config = require("../config"); +const launcher = require("./launcher"); +const client = require("./client"); +const health = require("./health"); + +/** + * HeadroomManager - Singleton for managing Headroom sidecar lifecycle + */ +class HeadroomManager { + constructor() { + this.initialized = false; + this.startupError = null; + } + + /** + * Initialize the Headroom system + * Starts the Docker container if enabled and waits for it to be healthy + */ + async initialize() { + if (this.initialized) { + return { success: true, alreadyInitialized: true }; + } + + const headroomConfig = config.headroom; + + if (!headroomConfig?.enabled) { + logger.info("Headroom compression is disabled"); + this.initialized = true; + return { success: true, enabled: false }; + } + + logger.info( + { + endpoint: headroomConfig.endpoint, + mode: headroomConfig.mode, + dockerEnabled: headroomConfig.docker?.enabled, + }, + "Initializing Headroom sidecar" + ); + + try { + // Start Docker container if enabled + if (headroomConfig.docker?.enabled) { + const result = await launcher.ensureRunning(); + logger.info({ action: result.action }, "Headroom container ready"); + } else { + // Docker not enabled, just wait for external sidecar + logger.info("Docker management disabled, waiting for external Headroom sidecar"); + const available = await health.waitForAvailable(10000, 500); + + if (!available) { + throw new Error(`Headroom sidecar not available at ${headroomConfig.endpoint}`); + } + } + + // Verify service is healthy + const healthCheck = await health.checkHeadroomHealth(); + + if (!healthCheck.healthy) { + throw new Error(`Headroom not healthy: ${healthCheck.error}`); + } + + logger.info( + { + ccrEnabled: healthCheck.service?.ccrEnabled, + llmlinguaEnabled: healthCheck.service?.llmlinguaEnabled, + }, + "Headroom sidecar initialized successfully" + ); + + this.initialized = true; + return { success: true, health: healthCheck }; + } catch (err) { + this.startupError = err; + logger.error({ err }, "Failed to initialize Headroom sidecar"); + + // Don't throw - allow Lynkr to start without Headroom + // Compression will be skipped if Headroom is unavailable + this.initialized = true; + return { success: false, error: err.message }; + } + } + + /** + * Shutdown the Headroom system + * Stops the Docker container if we started it + */ + async shutdown(removeContainer = false) { + if (!config.headroom?.enabled) { + return; + } + + logger.info("Shutting down Headroom sidecar"); + + try { + if (config.headroom.docker?.enabled) { + await launcher.stop(removeContainer); + } + logger.info("Headroom sidecar shutdown complete"); + } catch (err) { + logger.error({ err }, "Error during Headroom shutdown"); + } + } + + /** + * Compress messages if Headroom is available + * Falls back to original messages if compression fails + */ + async compress(messages, tools = [], options = {}) { + return client.compressMessages(messages, tools, options); + } + + /** + * Retrieve content from CCR store + */ + async ccrRetrieve(hash, query = null, maxResults = 20) { + return client.ccrRetrieve(hash, query, maxResults); + } + + /** + * Track compression for proactive expansion + */ + async ccrTrack(hashKey, turnNumber, toolName, sample) { + return client.ccrTrack(hashKey, turnNumber, toolName, sample); + } + + /** + * Analyze query for proactive CCR expansion + */ + async ccrAnalyze(query, turnNumber) { + return client.ccrAnalyze(query, turnNumber); + } + + /** + * Check if Headroom is enabled + */ + isEnabled() { + return client.isEnabled(); + } + + /** + * Check if Headroom is available and healthy + */ + async isAvailable() { + return health.isAvailable(); + } + + /** + * Get health status + */ + async getHealth() { + return health.checkHeadroomHealth(); + } + + /** + * Get metrics + */ + async getMetrics() { + return client.getCombinedMetrics(); + } + + /** + * Get detailed status for debugging + */ + async getDetailedStatus() { + return health.getDetailedStatus(); + } + + /** + * Restart the Headroom container + */ + async restart() { + if (!config.headroom?.docker?.enabled) { + throw new Error("Docker management is disabled"); + } + return launcher.restart(); + } + + /** + * Get container logs + */ + async getLogs(tail = 100) { + if (!config.headroom?.docker?.enabled) { + return null; + } + return launcher.getLogs(tail); + } +} + +// Singleton instance +let instance = null; + +/** + * Get the HeadroomManager singleton instance + */ +function getHeadroomManager() { + if (!instance) { + instance = new HeadroomManager(); + } + return instance; +} + +/** + * Initialize Headroom (convenience function) + */ +async function initializeHeadroom() { + const manager = getHeadroomManager(); + return manager.initialize(); +} + +/** + * Shutdown Headroom (convenience function) + */ +async function shutdownHeadroom(removeContainer = false) { + if (instance) { + return instance.shutdown(removeContainer); + } +} + +module.exports = { + HeadroomManager, + getHeadroomManager, + initializeHeadroom, + shutdownHeadroom, + // Re-export commonly used functions + isEnabled: client.isEnabled, + compressMessages: client.compressMessages, + ccrRetrieve: client.ccrRetrieve, + checkHealth: client.checkHealth, + getMetrics: client.getMetrics, + getCombinedMetrics: client.getCombinedMetrics, +}; diff --git a/src/headroom/launcher.js b/src/headroom/launcher.js new file mode 100644 index 0000000..f35231c --- /dev/null +++ b/src/headroom/launcher.js @@ -0,0 +1,517 @@ +/** + * Headroom Sidecar Container Launcher + * + * Uses dockerode to programmatically manage the Headroom sidecar container lifecycle. + * Provides automatic container creation, health checking, and graceful shutdown. + */ + +const Docker = require("dockerode"); +const logger = require("../logger"); +const config = require("../config"); + +// Initialize Docker client +const docker = new Docker(); + +// Launcher state +let containerInstance = null; +let isStarting = false; +let isShuttingDown = false; + +/** + * Get container environment variables for Headroom sidecar + */ +function getContainerEnv() { + const headroomConfig = config.headroom; + return [ + `HEADROOM_HOST=0.0.0.0`, + `HEADROOM_PORT=${headroomConfig.docker.port}`, + `HEADROOM_LOG_LEVEL=${headroomConfig.logLevel}`, + `HEADROOM_MODE=${headroomConfig.mode}`, + `HEADROOM_PROVIDER=${headroomConfig.provider}`, + // Transforms + `HEADROOM_SMART_CRUSHER=${headroomConfig.transforms.smartCrusher}`, + `HEADROOM_SMART_CRUSHER_MIN_TOKENS=${headroomConfig.transforms.smartCrusherMinTokens}`, + `HEADROOM_SMART_CRUSHER_MAX_ITEMS=${headroomConfig.transforms.smartCrusherMaxItems}`, + `HEADROOM_TOOL_CRUSHER=${headroomConfig.transforms.toolCrusher}`, + `HEADROOM_CACHE_ALIGNER=${headroomConfig.transforms.cacheAligner}`, + `HEADROOM_ROLLING_WINDOW=${headroomConfig.transforms.rollingWindow}`, + `HEADROOM_KEEP_TURNS=${headroomConfig.transforms.keepTurns}`, + // CCR + `HEADROOM_CCR=${headroomConfig.ccr.enabled}`, + `HEADROOM_CCR_TTL=${headroomConfig.ccr.ttlSeconds}`, + // LLMLingua + `HEADROOM_LLMLINGUA=${headroomConfig.llmlingua.enabled}`, + `HEADROOM_LLMLINGUA_DEVICE=${headroomConfig.llmlingua.device}`, + ]; +} + +/** + * Parse memory limit string to bytes for Docker API + * Supports formats like "512m", "1g", "256mb", "1gb" + */ +function parseMemoryLimit(limit) { + if (typeof limit !== "string") return 536870912; // Default 512MB + + const match = limit.toLowerCase().match(/^(\d+(?:\.\d+)?)\s*(b|k|kb|m|mb|g|gb)?$/); + if (!match) return 536870912; + + const value = parseFloat(match[1]); + const unit = match[2] || "b"; + + const multipliers = { + b: 1, + k: 1024, + kb: 1024, + m: 1024 * 1024, + mb: 1024 * 1024, + g: 1024 * 1024 * 1024, + gb: 1024 * 1024 * 1024, + }; + + return Math.floor(value * (multipliers[unit] || 1)); +} + +/** + * Parse CPU limit to NanoCPUs for Docker API + * Supports formats like "1.0", "0.5", "2" + */ +function parseCpuLimit(limit) { + if (typeof limit !== "string") return 1e9; // Default 1 CPU + + const value = parseFloat(limit); + if (Number.isNaN(value)) return 1e9; + + return Math.floor(value * 1e9); // Convert to NanoCPUs +} + +/** + * Check if the container already exists + */ +async function getExistingContainer() { + const containerName = config.headroom.docker.containerName; + + try { + const containers = await docker.listContainers({ + all: true, + filters: { name: [containerName] }, + }); + + // Find exact match (Docker returns partial matches) + const match = containers.find( + (c) => c.Names.includes(`/${containerName}`) || c.Names.includes(containerName) + ); + + if (match) { + return docker.getContainer(match.Id); + } + return null; + } catch (err) { + logger.error({ err }, "Failed to check for existing container"); + return null; + } +} + +/** + * Check if the Docker image exists locally + */ +async function imageExists(imageName) { + try { + const image = docker.getImage(imageName); + await image.inspect(); + return true; + } catch (err) { + if (err.statusCode === 404) { + return false; + } + throw err; + } +} + +/** + * Pull the Docker image + */ +async function pullImage(imageName) { + logger.info({ image: imageName }, "Pulling Headroom sidecar image"); + + return new Promise((resolve, reject) => { + docker.pull(imageName, (err, stream) => { + if (err) { + return reject(err); + } + + docker.modem.followProgress( + stream, + (err, output) => { + if (err) { + reject(err); + } else { + logger.info({ image: imageName }, "Image pull complete"); + resolve(output); + } + }, + (event) => { + if (event.status === "Downloading" || event.status === "Extracting") { + logger.debug({ status: event.status, progress: event.progress }, "Image pull progress"); + } + } + ); + }); + }); +} + +/** + * Build the Docker image from local context + */ +async function buildImage(imageName, buildContext) { + logger.info({ image: imageName, context: buildContext }, "Building Headroom sidecar image"); + + const path = require("path"); + const fs = require("fs"); + const { execSync } = require("child_process"); + + // Resolve build context path + const contextPath = path.resolve(process.cwd(), buildContext); + + if (!fs.existsSync(contextPath)) { + throw new Error(`Build context not found: ${contextPath}`); + } + + if (!fs.existsSync(path.join(contextPath, "Dockerfile"))) { + throw new Error(`Dockerfile not found in: ${contextPath}`); + } + + // Use docker build command for simplicity (dockerode build is complex with tar) + try { + execSync(`docker build -t ${imageName} ${contextPath}`, { + stdio: "inherit", + encoding: "utf8", + }); + logger.info({ image: imageName }, "Image build complete"); + } catch (err) { + throw new Error(`Failed to build image: ${err.message}`); + } +} + +/** + * Create and start the Headroom container + */ +async function createContainer() { + const headroomConfig = config.headroom; + const dockerConfig = headroomConfig.docker; + + const containerConfig = { + Image: dockerConfig.image, + name: dockerConfig.containerName, + Env: getContainerEnv(), + ExposedPorts: { + [`${dockerConfig.port}/tcp`]: {}, + }, + HostConfig: { + PortBindings: { + [`${dockerConfig.port}/tcp`]: [{ HostPort: String(dockerConfig.port) }], + }, + Memory: parseMemoryLimit(dockerConfig.memoryLimit), + NanoCpus: parseCpuLimit(dockerConfig.cpuLimit), + RestartPolicy: { + Name: dockerConfig.restartPolicy, + }, + }, + Healthcheck: { + Test: ["CMD", "curl", "-f", `http://localhost:${dockerConfig.port}/health`], + Interval: 30 * 1e9, // 30s in nanoseconds + Timeout: 10 * 1e9, // 10s + StartPeriod: 30 * 1e9, // 30s + Retries: 3, + }, + }; + + // Add network if specified + if (dockerConfig.network) { + containerConfig.HostConfig.NetworkMode = dockerConfig.network; + } + + logger.info( + { + name: dockerConfig.containerName, + image: dockerConfig.image, + port: dockerConfig.port, + memory: dockerConfig.memoryLimit, + }, + "Creating Headroom container" + ); + + const container = await docker.createContainer(containerConfig); + await container.start(); + + logger.info({ name: dockerConfig.containerName }, "Headroom container started"); + + return container; +} + +/** + * Wait for the container to be healthy + */ +async function waitForHealthy(container, maxRetries = 30, intervalMs = 1000) { + const headroomConfig = config.headroom; + + for (let i = 0; i < maxRetries; i++) { + try { + // Check container state + const info = await container.inspect(); + + if (info.State.Health?.Status === "healthy") { + logger.info("Headroom container is healthy"); + return true; + } + + if (info.State.Status === "exited" || info.State.Status === "dead") { + throw new Error(`Container exited unexpectedly: ${info.State.Status}`); + } + + // Also try direct HTTP health check + try { + const response = await fetch(`${headroomConfig.endpoint}/health`, { + signal: AbortSignal.timeout(2000), + }); + + if (response.ok) { + const data = await response.json(); + if (data.headroom_loaded) { + logger.info("Headroom sidecar is ready (HTTP health check passed)"); + return true; + } + } + } catch { + // HTTP check failed, continue waiting + } + + logger.debug({ attempt: i + 1, maxRetries }, "Waiting for Headroom container to be healthy"); + await new Promise((resolve) => setTimeout(resolve, intervalMs)); + } catch (err) { + if (err.message?.includes("exited unexpectedly")) { + throw err; + } + logger.debug({ err: err.message }, "Health check attempt failed"); + await new Promise((resolve) => setTimeout(resolve, intervalMs)); + } + } + + throw new Error(`Headroom container failed to become healthy after ${maxRetries} attempts`); +} + +/** + * Ensure the Headroom container is running + * Creates it if it doesn't exist, starts it if stopped + */ +async function ensureRunning() { + const headroomConfig = config.headroom; + + if (!headroomConfig.enabled) { + logger.debug("Headroom is disabled, skipping container launch"); + return { started: false, reason: "disabled" }; + } + + if (!headroomConfig.docker.enabled) { + logger.debug("Headroom Docker management is disabled"); + return { started: false, reason: "docker_disabled" }; + } + + if (isStarting) { + logger.debug("Headroom container is already starting"); + return { started: false, reason: "already_starting" }; + } + + if (isShuttingDown) { + logger.debug("Headroom is shutting down, skipping start"); + return { started: false, reason: "shutting_down" }; + } + + isStarting = true; + + try { + // Check for existing container + let container = await getExistingContainer(); + + if (container) { + const info = await container.inspect(); + const state = info.State; + + logger.info( + { name: headroomConfig.docker.containerName, state: state.Status }, + "Found existing Headroom container" + ); + + if (state.Running) { + // Container is already running + containerInstance = container; + await waitForHealthy(container); + return { started: true, action: "existing_running" }; + } + + // Container exists but is stopped, start it + logger.info("Starting existing Headroom container"); + await container.start(); + containerInstance = container; + await waitForHealthy(container); + return { started: true, action: "started_existing" }; + } + + // No container exists, need to create one + // First ensure the image exists + const exists = await imageExists(headroomConfig.docker.image); + + if (!exists) { + if (headroomConfig.docker.autoBuild) { + await buildImage(headroomConfig.docker.image, headroomConfig.docker.buildContext); + } else { + await pullImage(headroomConfig.docker.image); + } + } + + // Create and start the container + container = await createContainer(); + containerInstance = container; + await waitForHealthy(container); + + return { started: true, action: "created_new" }; + } catch (err) { + logger.error({ err }, "Failed to ensure Headroom container is running"); + throw err; + } finally { + isStarting = false; + } +} + +/** + * Stop and optionally remove the Headroom container + */ +async function stop(removeContainer = false) { + if (isShuttingDown) { + return; + } + + isShuttingDown = true; + + try { + const container = containerInstance || (await getExistingContainer()); + + if (!container) { + logger.debug("No Headroom container to stop"); + return; + } + + const info = await container.inspect(); + + if (info.State.Running) { + logger.info({ name: config.headroom.docker.containerName }, "Stopping Headroom container"); + await container.stop({ t: 10 }); // 10 second timeout + logger.info("Headroom container stopped"); + } + + if (removeContainer) { + logger.info({ name: config.headroom.docker.containerName }, "Removing Headroom container"); + await container.remove(); + logger.info("Headroom container removed"); + } + + containerInstance = null; + } catch (err) { + if (err.statusCode === 304) { + // Container already stopped + logger.debug("Headroom container was already stopped"); + } else if (err.statusCode === 404) { + // Container doesn't exist + logger.debug("Headroom container does not exist"); + } else { + logger.error({ err }, "Failed to stop Headroom container"); + } + } finally { + isShuttingDown = false; + } +} + +/** + * Get container status + */ +async function getStatus() { + try { + const container = containerInstance || (await getExistingContainer()); + + if (!container) { + return { exists: false, running: false }; + } + + const info = await container.inspect(); + + return { + exists: true, + running: info.State.Running, + status: info.State.Status, + health: info.State.Health?.Status || "unknown", + startedAt: info.State.StartedAt, + id: info.Id.substring(0, 12), + name: info.Name, + image: info.Config.Image, + }; + } catch (err) { + logger.error({ err }, "Failed to get Headroom container status"); + return { exists: false, running: false, error: err.message }; + } +} + +/** + * Get container logs + */ +async function getLogs(tail = 100) { + try { + const container = containerInstance || (await getExistingContainer()); + + if (!container) { + return null; + } + + const logs = await container.logs({ + stdout: true, + stderr: true, + tail, + timestamps: true, + }); + + return logs.toString("utf8"); + } catch (err) { + logger.error({ err }, "Failed to get Headroom container logs"); + return null; + } +} + +/** + * Restart the container + */ +async function restart() { + try { + const container = containerInstance || (await getExistingContainer()); + + if (!container) { + // No container exists, create one + return ensureRunning(); + } + + logger.info({ name: config.headroom.docker.containerName }, "Restarting Headroom container"); + await container.restart({ t: 10 }); + await waitForHealthy(container); + + return { restarted: true }; + } catch (err) { + logger.error({ err }, "Failed to restart Headroom container"); + throw err; + } +} + +module.exports = { + ensureRunning, + stop, + getStatus, + getLogs, + restart, + waitForHealthy, +}; diff --git a/src/orchestrator/index.js b/src/orchestrator/index.js index 80de28b..6191d5d 100644 --- a/src/orchestrator/index.js +++ b/src/orchestrator/index.js @@ -11,6 +11,7 @@ const systemPrompt = require("../prompts/system"); const historyCompression = require("../context/compression"); const tokenBudget = require("../context/budget"); const { classifyRequestType, selectToolsSmartly } = require("../tools/smart-selection"); +const { compressMessages: headroomCompress, isEnabled: isHeadroomEnabled } = require("../headroom"); const DROP_KEYS = new Set([ "provider", @@ -1163,6 +1164,8 @@ async function runAgentLoop({ cacheKey, providerType, }) { + console.log('[DEBUG] runAgentLoop ENTERED - providerType:', providerType, 'messages:', cleanPayload.messages?.length); + logger.info({ providerType, messageCount: cleanPayload.messages?.length }, 'runAgentLoop ENTERED'); const settings = resolveLoopOptions(options); const start = Date.now(); let steps = 0; @@ -1176,6 +1179,7 @@ async function runAgentLoop({ } steps += 1; + console.log('[LOOP DEBUG] Entered while loop - step:', steps); logger.debug( { sessionId: session?.id ?? null, @@ -1362,6 +1366,7 @@ async function runAgentLoop({ } // Track estimated token usage before model call + console.log('[TOKEN DEBUG] About to track token usage - step:', steps); const estimatedTokens = config.tokenTracking?.enabled !== false ? tokens.countPayloadTokens(cleanPayload) : null; @@ -1374,6 +1379,52 @@ async function runAgentLoop({ }, 'Estimated token usage before model call'); } + // Apply Headroom compression if enabled + console.log('[HEADROOM DEBUG] About to check compression - step:', steps, 'messages:', cleanPayload.messages?.length); + logger.info({ + headroomEnabled: isHeadroomEnabled(), + hasMessages: Boolean(cleanPayload.messages), + messageCount: cleanPayload.messages?.length ?? 0, + }, 'Headroom compression check'); + + if (isHeadroomEnabled() && cleanPayload.messages && cleanPayload.messages.length > 0) { + console.log('[HEADROOM DEBUG] Entering compression block'); + try { + console.log('[HEADROOM DEBUG] About to call headroomCompress'); + const compressionResult = await headroomCompress( + cleanPayload.messages, + cleanPayload.tools || [], + { + mode: config.headroom?.mode, + queryContext: cleanPayload.messages[cleanPayload.messages.length - 1]?.content, + } + ); + console.log('[HEADROOM DEBUG] headroomCompress returned - compressed:', compressionResult.compressed, 'stats:', JSON.stringify(compressionResult.stats)); + + if (compressionResult.compressed) { + cleanPayload.messages = compressionResult.messages; + if (compressionResult.tools) { + cleanPayload.tools = compressionResult.tools; + } + logger.info({ + sessionId: session?.id ?? null, + tokensBefore: compressionResult.stats?.tokens_before, + tokensAfter: compressionResult.stats?.tokens_after, + saved: compressionResult.stats?.tokens_saved, + savingsPercent: compressionResult.stats?.savings_percent, + transforms: compressionResult.stats?.transforms_applied, + }, 'Headroom compression applied to request'); + } else { + logger.debug({ + sessionId: session?.id ?? null, + reason: compressionResult.stats?.reason, + }, 'Headroom compression skipped'); + } + } catch (headroomErr) { + logger.warn({ err: headroomErr, sessionId: session?.id ?? null }, 'Headroom compression failed, using original messages'); + } + } + const databricksResponse = await invokeModel(cleanPayload); // Extract and log actual token usage diff --git a/src/server.js b/src/server.js index 25c6938..37739f0 100644 --- a/src/server.js +++ b/src/server.js @@ -28,6 +28,7 @@ const { registerTestTools } = require("./tools/tests"); const { registerMcpTools } = require("./tools/mcp"); const { registerAgentTaskTool } = require("./tools/agent-task"); const { initConfigWatcher, getConfigWatcher } = require("./config/watcher"); +const { initializeHeadroom, shutdownHeadroom, getHeadroomManager } = require("./headroom"); initialiseMcp(); registerStubTools(); @@ -121,7 +122,22 @@ function createApp() { return app; } -function start() { +async function start() { + // Initialize Headroom sidecar (if enabled) + // This must happen before the server starts accepting requests + if (config.headroom?.enabled) { + try { + const result = await initializeHeadroom(); + if (result.success) { + logger.info("Headroom sidecar initialized"); + } else { + logger.warn({ error: result.error }, "Headroom initialization failed, continuing without compression"); + } + } catch (err) { + logger.error({ err }, "Headroom initialization error, continuing without compression"); + } + } + const app = createApp(); const server = app.listen(config.port, () => { console.log(`Claude→Databricks proxy listening on http://localhost:${config.port}`); @@ -137,6 +153,14 @@ function start() { shutdownManager.registerServer(server); shutdownManager.setupSignalHandlers(); + // Register Headroom shutdown callback + if (config.headroom?.enabled) { + shutdownManager.onShutdown(async () => { + logger.info("Stopping Headroom sidecar on shutdown"); + await shutdownHeadroom(false); // Don't remove container on shutdown + }); + } + // Initialize hot reload config watcher if (config.hotReload?.enabled !== false) { const watcher = initConfigWatcher({ From 55b04897227d9be65d6fb5fd7bd5245866342f3c Mon Sep 17 00:00:00 2001 From: vishal veerareddy Date: Sun, 25 Jan 2026 19:05:25 -0800 Subject: [PATCH 2/4] Add --help flag to CLI Co-Authored-By: Claude Opus 4.5 --- bin/cli.js | 25 ++++++++++++- src/clients/databricks.js | 62 +++++++++++++++++++++++++++++++ src/clients/standard-tools.js | 22 ++++++++--- src/orchestrator/index.js | 19 ++++++++++ src/prompts/system.js | 69 +++++++++++++++++++++++++++++++++++ 5 files changed, 191 insertions(+), 6 deletions(-) diff --git a/bin/cli.js b/bin/cli.js index ba80dd5..0d47059 100755 --- a/bin/cli.js +++ b/bin/cli.js @@ -1,9 +1,32 @@ #!/usr/bin/env node +const pkg = require('../package.json'); + if (process.argv.includes('--version') || process.argv.includes('-v')) { - const pkg = require('../package.json'); console.log(pkg.version); process.exit(0); } +if (process.argv.includes('--help') || process.argv.includes('-h')) { + console.log(` +${pkg.name} v${pkg.version} + +${pkg.description} + +Usage: + lynkr [options] + +Options: + -h, --help Show this help message + -v, --version Show version number + +Environment Variables: + See .env.example for configuration options + +Documentation: + ${pkg.homepage} +`); + process.exit(0); +} + require("../index.js"); diff --git a/src/clients/databricks.js b/src/clients/databricks.js index 93128af..1b5387e 100644 --- a/src/clients/databricks.js +++ b/src/clients/databricks.js @@ -591,6 +591,68 @@ async function invokeAzureOpenAI(body) { } } +/** + * Convert Azure Responses API response to Anthropic format + */ +function convertResponsesAPIToAnthropic(response, model) { + const content = []; + const outputArray = response.output || []; + + // Extract text content from message output + const messageOutput = outputArray.find(o => o.type === "message"); + if (messageOutput?.content) { + for (const item of messageOutput.content) { + if (item.type === "output_text" && item.text) { + content.push({ type: "text", text: item.text }); + } + } + } + + // Extract tool calls from function_call outputs + const toolCalls = outputArray + .filter(o => o.type === "function_call") + .map(tc => ({ + type: "tool_use", + id: tc.call_id || tc.id || `call_${Date.now()}`, + name: tc.name, + input: typeof tc.arguments === 'string' ? JSON.parse(tc.arguments || "{}") : (tc.arguments || {}) + })); + + content.push(...toolCalls); + + // Handle reasoning_content for thinking models + if (content.length === 0 && response.reasoning_content) { + content.push({ type: "text", text: response.reasoning_content }); + } + + // Ensure at least empty text if no content + if (content.length === 0) { + content.push({ type: "text", text: "" }); + } + + // Determine stop reason + let stopReason = "end_turn"; + if (toolCalls.length > 0) { + stopReason = "tool_use"; + } else if (response.status === "incomplete" && response.incomplete_details?.reason === "max_output_tokens") { + stopReason = "max_tokens"; + } + + return { + id: response.id || `msg_${Date.now()}`, + type: "message", + role: "assistant", + content, + model: model || response.model, + stop_reason: stopReason, + stop_sequence: null, + usage: { + input_tokens: response.usage?.input_tokens || 0, + output_tokens: response.usage?.output_tokens || 0, + } + }; +} + async function invokeOpenAI(body) { if (!config.openai?.apiKey) { throw new Error("OpenAI API key is not configured."); diff --git a/src/clients/standard-tools.js b/src/clients/standard-tools.js index d5e5964..51e4163 100644 --- a/src/clients/standard-tools.js +++ b/src/clients/standard-tools.js @@ -176,27 +176,39 @@ const STANDARD_TOOLS = [ }, { name: "Task", - description: "Launch specialized agents for complex multi-step tasks. Available agents: general-purpose (complex tasks), Explore (codebase exploration), Plan (implementation planning), claude-code-guide (Claude Code documentation).", + description: `Launch a specialized agent to handle complex, multi-step tasks autonomously. + +YOU MUST USE THIS TOOL WHEN the user asks to: +- "explore", "dig into", "understand", or "analyze" a codebase → use subagent_type="Explore" +- "plan", "design", or "architect" something → use subagent_type="Plan" +- perform complex multi-file research or investigation → use subagent_type="general-purpose" + +AVAILABLE AGENTS: +- Explore: Fast codebase exploration using Glob, Grep, Read. Use for searching, finding files, understanding project structure. +- Plan: Implementation planning and architecture design. Use for planning features or refactoring. +- general-purpose: Complex multi-step tasks with all tools available. + +EXAMPLE: User says "explore this project" → Call Task with subagent_type="Explore", prompt="Explore the codebase structure, find main entry points, read key files, and summarize what this project does"`, input_schema: { type: "object", properties: { description: { type: "string", - description: "A short (3-5 word) description of the task" + description: "A short (3-5 word) description of the task, e.g., 'Explore project structure'" }, prompt: { type: "string", - description: "The detailed task for the agent to perform" + description: "Detailed instructions for the agent. Be specific about what to find, read, or analyze." }, subagent_type: { type: "string", enum: ["general-purpose", "Explore", "Plan", "claude-code-guide"], - description: "The type of specialized agent to use" + description: "Agent type: Explore (search/read codebase), Plan (design/architecture), general-purpose (complex research)" }, model: { type: "string", enum: ["sonnet", "opus", "haiku"], - description: "Optional model to use (haiku for quick tasks, sonnet for balanced, opus for complex)" + description: "Optional model override. Default is appropriate for each agent type." } }, required: ["description", "prompt", "subagent_type"] diff --git a/src/orchestrator/index.js b/src/orchestrator/index.js index 6191d5d..b34fbbc 100644 --- a/src/orchestrator/index.js +++ b/src/orchestrator/index.js @@ -1325,6 +1325,25 @@ async function runAgentLoop({ } } + // Inject agent delegation instructions when Task tool is available (for all models) + if (steps === 1 && config.agents?.enabled !== false) { + try { + const injectedSystem = systemPrompt.injectAgentInstructions( + cleanPayload.system || '', + cleanPayload.tools + ); + if (injectedSystem !== cleanPayload.system) { + cleanPayload.system = injectedSystem; + logger.debug({ + sessionId: session?.id ?? null, + hasTaskTool: true + }, 'Agent delegation instructions injected into system prompt'); + } + } catch (err) { + logger.warn({ err, sessionId: session?.id }, 'Agent instructions injection failed, continuing without'); + } + } + if (steps === 1 && config.tokenBudget?.enforcement !== false) { try { const budgetCheck = tokenBudget.checkBudget(cleanPayload); diff --git a/src/prompts/system.js b/src/prompts/system.js index a0d7d0a..823f1cc 100644 --- a/src/prompts/system.js +++ b/src/prompts/system.js @@ -8,6 +8,47 @@ const logger = require('../logger'); const config = require('../config'); +/** + * Agent Delegation Instructions + * + * These instructions tell all models how to use the Task tool for spawning subagents. + * Added to system prompt when Task tool is available. + */ +const AGENT_DELEGATION_INSTRUCTIONS = ` +## Task Delegation (Subagents) + +You have access to the **Task** tool which spawns specialized agents to handle complex work autonomously. + +### WHEN TO USE the Task Tool: + +| User Request Keywords | Action | +|----------------------|--------| +| "explore", "dig into", "understand", "analyze" the codebase | \`Task(subagent_type="Explore")\` | +| "plan", "design", "architect" an implementation | \`Task(subagent_type="Plan")\` | +| Complex multi-file research or investigation | \`Task(subagent_type="general-purpose")\` | + +### HOW TO CALL the Task Tool: + +\`\`\` +Task( + subagent_type: "Explore", + description: "Explore project structure", + prompt: "Find main entry points, understand the architecture, read key configuration files, and provide a comprehensive summary of what this project does and how it's organized." +) +\`\`\` + +### AGENT TYPES: + +- **Explore**: Fast codebase exploration using Glob, Grep, Read tools. Use for searching files, understanding project structure, finding code patterns. +- **Plan**: Implementation planning and architecture design. Use for designing features, planning refactoring, or architectural decisions. +- **general-purpose**: Complex multi-step tasks with access to all tools. + +### IMPORTANT: +- Subagents run independently and return a summary of their findings +- Use Explore agent for ANY codebase navigation or search tasks instead of doing it yourself +- The subagent will handle all the file reading and searching, then return results to you +`; + /** * Compress tool descriptions to minimal format * @@ -310,6 +351,32 @@ function calculateSavings(original, optimized) { }; } +/** + * Inject agent delegation instructions into system prompt + * @param {string} systemPrompt - Existing system prompt + * @param {Array} tools - Available tools + * @returns {string} System prompt with agent instructions added + */ +function injectAgentInstructions(systemPrompt, tools = []) { + // Check if Task tool is available + const hasTaskTool = tools?.some(t => + t.name === 'Task' || t.function?.name === 'Task' + ); + + if (!hasTaskTool) { + return systemPrompt; + } + + // Don't add if already present + if (systemPrompt && systemPrompt.includes('Task Delegation')) { + return systemPrompt; + } + + // Append agent instructions + const basePrompt = systemPrompt || ''; + return basePrompt + '\n\n' + AGENT_DELEGATION_INSTRUCTIONS; +} + module.exports = { compressToolDescriptions, optimizeSystemPrompt, @@ -317,4 +384,6 @@ module.exports = { calculateSavings, compressText, flattenBlocks, + injectAgentInstructions, + AGENT_DELEGATION_INSTRUCTIONS, }; From 190e188c69587565ee0446b6659eda21865f04e0 Mon Sep 17 00:00:00 2001 From: vishal veerareddy Date: Sun, 25 Jan 2026 19:07:43 -0800 Subject: [PATCH 3/4] 5.0.1 --- package-lock.json | 4 ++-- package.json | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/package-lock.json b/package-lock.json index e157950..613d38a 100644 --- a/package-lock.json +++ b/package-lock.json @@ -1,12 +1,12 @@ { "name": "lynkr", - "version": "5.0.0", + "version": "5.0.1", "lockfileVersion": 3, "requires": true, "packages": { "": { "name": "lynkr", - "version": "5.0.0", + "version": "5.0.1", "license": "Apache-2.0", "dependencies": { "@azure/openai": "^2.0.0", diff --git a/package.json b/package.json index a6798ac..f8f75b4 100644 --- a/package.json +++ b/package.json @@ -1,6 +1,6 @@ { "name": "lynkr", - "version": "5.0.0", + "version": "5.0.1", "description": "Self-hosted Claude Code & Cursor proxy with Databricks,AWS BedRock,Azure adapters, openrouter, Ollama,llamacpp,LM Studio, workspace tooling, and MCP integration.", "main": "index.js", "bin": { From bf6ae816a83567e77eb77ff9735da982705cc579 Mon Sep 17 00:00:00 2001 From: vishal veerareddy Date: Sun, 25 Jan 2026 19:31:20 -0800 Subject: [PATCH 4/4] rectified subagent --- .claude/settings.local.json | 4 +- src/agents/definitions/loader.js | 2 +- src/agents/executor.js | 19 ++++- src/api/router.js | 6 ++ src/clients/databricks.js | 116 ++++++++++++++++++++++++++++++- src/clients/openrouter-utils.js | 10 ++- src/orchestrator/index.js | 14 +++- src/tools/agent-task.js | 4 +- src/tools/execution.js | 16 +++-- src/tools/process.js | 18 ++++- src/workspace/index.js | 23 ++++++ 11 files changed, 210 insertions(+), 22 deletions(-) diff --git a/.claude/settings.local.json b/.claude/settings.local.json index 1c3387c..75978e6 100644 --- a/.claude/settings.local.json +++ b/.claude/settings.local.json @@ -45,7 +45,9 @@ "Bash(xargs:*)", "Bash(docker info:*)", "Bash(docker container ls:*)", - "Bash(node --check:*)" + "Bash(node --check:*)", + "Bash(node index.js:*)", + "Bash(tee:*)" ], "deny": [], "ask": [] diff --git a/src/agents/definitions/loader.js b/src/agents/definitions/loader.js index 598ad7a..ddbd452 100644 --- a/src/agents/definitions/loader.js +++ b/src/agents/definitions/loader.js @@ -121,7 +121,7 @@ Work autonomously. Do not ask questions.`, "Read" ], model: "haiku", // Fast, cheap - maxSteps: 10, + maxSteps: 25, // Increased for thorough exploration builtIn: true }); diff --git a/src/agents/executor.js b/src/agents/executor.js index ceee018..d52964f 100644 --- a/src/agents/executor.js +++ b/src/agents/executor.js @@ -24,6 +24,9 @@ class SubagentExecutor { options.mainContext ); + // Store client CWD in context for tool execution + context.cwd = options.cwd; + try { // Set timeout const timeout = options.timeout || 120000; // 2 minutes @@ -159,16 +162,27 @@ class SubagentExecutor { payload.tools = filteredTools; } + // Determine provider based on model - subagents should use the specified model + let forceProvider = null; + if (payload.model?.includes('claude') || payload.model?.includes('sonnet') || payload.model?.includes('haiku') || payload.model?.includes('opus')) { + // Route Claude models to the configured Claude provider (azure-openai, databricks, etc.) + const config = require('../config'); + forceProvider = config.modelProvider?.provider || 'azure-openai'; + } else if (payload.model?.includes('gpt')) { + forceProvider = 'azure-openai'; + } + logger.debug({ agentId: context.agentId, model: payload.model, + forceProvider, messageCount: context.messages.length, toolCount: filteredTools.length, toolNames: filteredTools.map(t => t.name) }, "Calling model for subagent"); - // Use invokeModel to leverage provider routing - const response = await invokeModel(payload); + // Use invokeModel with forceProvider to ensure correct model routing + const response = await invokeModel(payload, { forceProvider }); if (!response.json) { throw new Error("Invalid model response"); @@ -223,6 +237,7 @@ class SubagentExecutor { }, { sessionId: sessionId, agentId: context.agentId, + cwd: context.cwd, isSubagent: true }); diff --git a/src/api/router.js b/src/api/router.js index 894a99d..b3ed198 100644 --- a/src/api/router.js +++ b/src/api/router.js @@ -6,6 +6,7 @@ const { createRateLimiter } = require("./middleware/rate-limiter"); const openaiRouter = require("./openai-router"); const providersRouter = require("./providers-handler"); const { getRoutingHeaders, getRoutingStats, analyzeComplexity } = require("../routing"); +const { validateCwd } = require("../workspace"); const router = express.Router(); @@ -130,6 +131,9 @@ router.post("/v1/messages", rateLimiter, async (req, res, next) => { reason: complexity.breakdown?.taskType?.reason || complexity.recommendation, }); + // Extract client CWD from request body or header + const clientCwd = validateCwd(req.body?.cwd || req.headers['x-workspace-cwd']); + // For true streaming: only support non-tool requests for MVP // Tool requests require buffering for agent loop if (wantsStream && !hasTools) { @@ -149,6 +153,7 @@ router.post("/v1/messages", rateLimiter, async (req, res, next) => { payload: req.body, headers: req.headers, session: req.session, + cwd: clientCwd, options: { maxSteps: req.body?.max_steps, maxDurationMs: req.body?.max_duration_ms, @@ -324,6 +329,7 @@ router.post("/v1/messages", rateLimiter, async (req, res, next) => { payload: req.body, headers: req.headers, session: req.session, + cwd: clientCwd, options: { maxSteps: req.body?.max_steps, maxDurationMs: req.body?.max_duration_ms, diff --git a/src/clients/databricks.js b/src/clients/databricks.js index 1b5387e..03cf5d4 100644 --- a/src/clients/databricks.js +++ b/src/clients/databricks.js @@ -515,8 +515,106 @@ async function invokeAzureOpenAI(body) { return tool; }); + // Convert messages to Responses API input format + // Responses API uses different structure for tool calls and results + const responsesInput = []; + // Track function call IDs for matching with outputs + const pendingCallIds = []; + + for (const msg of azureBody.messages) { + if (msg.role === "system") { + // System messages become developer messages + responsesInput.push({ + type: "message", + role: "developer", + content: typeof msg.content === 'string' ? msg.content : JSON.stringify(msg.content) + }); + } else if (msg.role === "user") { + // Check if content contains tool_result blocks (Anthropic format) + if (Array.isArray(msg.content)) { + for (const block of msg.content) { + if (block.type === "tool_result") { + // Convert tool_result to function_call_output + // Use tool_use_id if available, otherwise pop from pending call IDs + const callId = block.tool_use_id || pendingCallIds.shift() || `call_${Date.now()}`; + responsesInput.push({ + type: "function_call_output", + call_id: callId, + output: typeof block.content === 'string' ? block.content : JSON.stringify(block.content || "") + }); + } else if (block.type === "text") { + responsesInput.push({ + type: "message", + role: "user", + content: block.text || "" + }); + } + } + } else { + responsesInput.push({ + type: "message", + role: "user", + content: typeof msg.content === 'string' ? msg.content : JSON.stringify(msg.content) + }); + } + } else if (msg.role === "assistant") { + // Assistant messages - handle tool_calls (OpenAI format) and tool_use blocks (Anthropic format) + if (msg.tool_calls && msg.tool_calls.length > 0) { + // OpenAI format: tool_calls array + for (const tc of msg.tool_calls) { + const callId = tc.id || `call_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`; + pendingCallIds.push(callId); + responsesInput.push({ + type: "function_call", + call_id: callId, + name: tc.function?.name || tc.name, + arguments: typeof tc.function?.arguments === 'string' ? tc.function.arguments : JSON.stringify(tc.function?.arguments || {}) + }); + } + } + // Handle content - could be string, array with tool_use blocks, or array with text blocks + if (Array.isArray(msg.content)) { + // Anthropic format: content is array of blocks + for (const block of msg.content) { + if (block.type === "tool_use") { + const callId = block.id || `call_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`; + pendingCallIds.push(callId); + responsesInput.push({ + type: "function_call", + call_id: callId, + name: block.name, + arguments: typeof block.input === 'string' ? block.input : JSON.stringify(block.input || {}) + }); + } else if (block.type === "text" && block.text) { + responsesInput.push({ + type: "message", + role: "assistant", + content: block.text + }); + } + } + } else if (msg.content) { + // String content + responsesInput.push({ + type: "message", + role: "assistant", + content: msg.content + }); + } + } else if (msg.role === "tool") { + // Tool results become function_call_output + // Use tool_call_id if available, otherwise pop from pending call IDs + const callId = msg.tool_call_id || pendingCallIds.shift() || `call_${Date.now()}`; + responsesInput.push({ + type: "function_call_output", + call_id: callId, + output: typeof msg.content === 'string' ? msg.content : JSON.stringify(msg.content) + }); + } + } + const responsesBody = { - input: azureBody.messages, + input: responsesInput, model: azureBody.model, max_output_tokens: azureBody.max_tokens, tools: responsesTools, @@ -582,6 +680,22 @@ async function invokeAzureOpenAI(body) { hasToolCalls: toolCalls.length > 0, toolCallCount: toolCalls.length }, "Converted Responses API to Chat Completions format"); + + // Now convert from Chat Completions format to Anthropic format + const anthropicJson = convertOpenAIToAnthropic(result.json); + logger.info({ + anthropicContentTypes: anthropicJson.content?.map(c => c.type), + stopReason: anthropicJson.stop_reason + }, "Converted to Anthropic format"); + + return { + ok: result.ok, + status: result.status, + json: anthropicJson, + text: JSON.stringify(anthropicJson), + contentType: "application/json", + headers: result.headers, + }; } return result; diff --git a/src/clients/openrouter-utils.js b/src/clients/openrouter-utils.js index 98a6e54..500f683 100644 --- a/src/clients/openrouter-utils.js +++ b/src/clients/openrouter-utils.js @@ -166,7 +166,8 @@ function convertAnthropicMessagesToOpenRouter(anthropicMessages) { } if (!foundMatchingToolCall) { - logger.warn({ + // Log but DON'T remove - the tool result may be valid but IDs mismatched due to format conversion + logger.debug({ messageIndex: i, toolCallId: msg.tool_call_id, precedingMessages: converted.slice(Math.max(0, i - 3), i).map(m => ({ @@ -174,11 +175,8 @@ function convertAnthropicMessagesToOpenRouter(anthropicMessages) { hasToolCalls: !!m.tool_calls, toolCallIds: m.tool_calls?.map(tc => tc.id) })) - }, "Orphaned tool message detected - removing from sequence"); - - // Remove the orphaned tool message - converted.splice(i, 1); - i--; // Adjust index after removal + }, "Tool message without matching tool_call - keeping for API to validate"); + // Don't remove - let the API handle validation } } } diff --git a/src/orchestrator/index.js b/src/orchestrator/index.js index b34fbbc..33762b1 100644 --- a/src/orchestrator/index.js +++ b/src/orchestrator/index.js @@ -1160,6 +1160,7 @@ async function runAgentLoop({ requestedModel, wantsThinking, session, + cwd, options, cacheKey, providerType, @@ -1531,7 +1532,12 @@ async function runAgentLoop({ let message = {}; let toolCalls = []; - if (providerType === "azure-anthropic") { + // Detect Anthropic format: has 'content' array and 'stop_reason' at top level (no 'choices') + // This handles azure-anthropic provider AND azure-openai Responses API (which we convert to Anthropic format) + const isAnthropicFormat = providerType === "azure-anthropic" || + (Array.isArray(databricksResponse.json?.content) && databricksResponse.json?.stop_reason !== undefined && !databricksResponse.json?.choices); + + if (isAnthropicFormat) { // Anthropic format: { content: [{ type: "tool_use", ... }], stop_reason: "tool_use" } message = { content: databricksResponse.json?.content ?? [], @@ -1820,6 +1826,7 @@ async function runAgentLoop({ const taskExecutions = await Promise.all( taskCalls.map(({ call }) => executeToolCall(call, { session, + cwd, requestMessages: cleanPayload.messages, })) ); @@ -1994,6 +2001,7 @@ async function runAgentLoop({ const execution = await executeToolCall(call, { session, + cwd, requestMessages: cleanPayload.messages, }); @@ -2523,6 +2531,7 @@ async function runAgentLoop({ const execution = await executeToolCall(attemptCall, { session, + cwd, requestMessages: cleanPayload.messages, }); @@ -2686,7 +2695,7 @@ async function runAgentLoop({ }; } -async function processMessage({ payload, headers, session, options = {} }) { +async function processMessage({ payload, headers, session, cwd, options = {} }) { const requestedModel = payload?.model ?? config.modelProvider?.defaultModel ?? @@ -2763,6 +2772,7 @@ async function processMessage({ payload, headers, session, options = {} }) { requestedModel, wantsThinking, session, + cwd, options, cacheKey, providerType: config.modelProvider?.type ?? "databricks", diff --git a/src/tools/agent-task.js b/src/tools/agent-task.js index 2a0cdd3..4e69e22 100644 --- a/src/tools/agent-task.js +++ b/src/tools/agent-task.js @@ -37,12 +37,14 @@ function registerAgentTaskTool() { logger.info({ subagentType, prompt: prompt.slice(0, 100), - sessionId: context.sessionId + sessionId: context.sessionId, + cwd: context.cwd }, "Task tool: spawning subagent"); try { const result = await spawnAgent(subagentType, prompt, { sessionId: context.sessionId, + cwd: context.cwd, // Pass client CWD to subagent mainContext: context.mainContext // Pass minimal context }); diff --git a/src/tools/execution.js b/src/tools/execution.js index cd315e4..3ab9fcd 100644 --- a/src/tools/execution.js +++ b/src/tools/execution.js @@ -10,9 +10,11 @@ function parseTimeout(value) { return Math.min(parsed, MAX_TIMEOUT_MS); } -function normaliseCwd(cwd) { - if (!cwd) return workspaceRoot; - return resolveWorkspacePath(cwd); +function normaliseCwd(cwd, contextCwd) { + // Priority: explicit cwd arg > context.cwd > workspaceRoot + if (cwd) return resolveWorkspacePath(cwd); + if (contextCwd) return contextCwd; // Already validated absolute path + return workspaceRoot; } function parseSandboxMode(value) { @@ -44,10 +46,10 @@ function formatProcessResult(result) { function registerShellTool() { registerTool( "shell", - async ({ args = {} }) => { + async ({ args = {} }, context = {}) => { const command = args.command ?? args.cmd ?? args.run ?? args.input; const commandArgs = Array.isArray(args.args) ? args.args.map(String) : []; - const cwd = normaliseCwd(args.cwd); + const cwd = normaliseCwd(args.cwd, context.cwd); const timeoutMs = parseTimeout(args.timeout_ms ?? args.timeout); let spawnCommand; @@ -106,7 +108,7 @@ function registerShellTool() { function registerPythonTool() { registerTool( "python_exec", - async ({ args = {} }) => { + async ({ args = {} }, context = {}) => { const code = typeof args.code === "string" ? args.code @@ -121,7 +123,7 @@ function registerPythonTool() { } const executable = args.executable ?? args.python ?? "python3"; - const cwd = normaliseCwd(args.cwd); + const cwd = normaliseCwd(args.cwd, context.cwd); const timeoutMs = parseTimeout(args.timeout_ms ?? args.timeout); const requirements = Array.isArray(args.requirements) ? args.requirements : []; diff --git a/src/tools/process.js b/src/tools/process.js index d6a27b9..7aad7d7 100644 --- a/src/tools/process.js +++ b/src/tools/process.js @@ -1,4 +1,5 @@ const { spawn } = require("child_process"); +const path = require("path"); const { workspaceRoot, resolveWorkspacePath } = require("../workspace"); const { isSandboxEnabled, runSandboxProcess } = require("../mcp/sandbox"); @@ -48,7 +49,22 @@ async function runProcess({ if (!command || typeof command !== "string") { throw new Error("Command must be a non-empty string."); } - const resolvedCwd = cwd ? resolveWorkspacePath(cwd) : workspaceRoot; + // cwd can be: + // 1. An already-resolved absolute path (from normaliseCwd in execution.js) + // 2. A relative path that needs resolving against workspaceRoot + // 3. null/undefined (use workspaceRoot) + let resolvedCwd; + if (cwd) { + // If it's already an absolute path, use it directly + // Otherwise resolve against workspaceRoot + if (path.isAbsolute(cwd)) { + resolvedCwd = cwd; + } else { + resolvedCwd = resolveWorkspacePath(cwd); + } + } else { + resolvedCwd = workspaceRoot; + } const mergedEnv = { ...process.env, ...sanitiseEnv(env) }; const timeout = normaliseTimeout(timeoutMs ?? DEFAULT_TIMEOUT_MS); const sandboxPreference = normaliseSandboxPreference(sandbox); diff --git a/src/workspace/index.js b/src/workspace/index.js index dedd2f9..da1a7e0 100644 --- a/src/workspace/index.js +++ b/src/workspace/index.js @@ -85,6 +85,28 @@ async function applyFilePatch(targetPath, patchText, options = {}) { }; } +/** + * Validate a client-provided CWD path + * @param {string} cwd - The path to validate + * @returns {string|null} - Resolved absolute path if valid, null otherwise + */ +function validateCwd(cwd) { + if (!cwd || typeof cwd !== "string") { + return null; + } + + try { + const resolved = path.resolve(cwd); + const stats = fs.statSync(resolved); + if (!stats.isDirectory()) { + return null; + } + return resolved; + } catch { + return null; + } +} + module.exports = { workspaceRoot, resolveWorkspacePath, @@ -92,4 +114,5 @@ module.exports = { writeFile, fileExists, applyFilePatch, + validateCwd, };