NocturnusAI
The context engineering engine for AI agents: send only what changed.
Before / After
# ❌ Without NocturnusAI — replay everything, every turn
messages = system_prompt + full_history + tool_outputs # ~1,259 tokens/turn
response = llm(messages) # $13,600/mo at scale
# ✅ With NocturnusAI — send only what changed
ctx = nocturnus.process_turns(raw_turns) # extract → infer → delta
messages = system_prompt + ctx.briefing_delta # ~221 tokens/turn
response = llm(messages) # $2,400/mo. Same accuracy.The Numbers
Measured on live APIs. 15-turn product support conversation. Real usage.input_tokens counts. Run it yourself.
| Naive replay | RAG-optimized | NocturnusAI | |
|---|---|---|---|
| Tokens per turn | ~1,259 | ~800 | ~221 |
| Cost per month (1K req/hr, Opus 4, $15/1M) | $13,600 | $12,000 | $2,400 |
| Latency | high | medium | low |
| Truth-preserving | no | no | yes |
Claude Opus 4: 5.7× reduction. Gemini 2.0 Flash: 10.0×. Full calculations.
Install
pip install nocturnusai # Python
npm install nocturnusai-sdk # TypeScript
docker run -p 9300:9300 ghcr.io/auctalis/nocturnusai:latest # Docker
