# ❌ 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.

pip install nocturnusai          # Python
npm install nocturnusai-sdk      # TypeScript
docker run -p 9300:9300 ghcr.io/auctalis/nocturnusai:latest  # Docker

curl -fsSL https://raw.githubusercontent.com/Auctalis/nocturnusai/main/install.sh | bash

curl -X POST http://localhost:9300/context \
  -H 'Content-Type: application/json' \
  -H 'X-Tenant-ID: default' \
  -d '{
    "turns": [
      "user: Customer says they are enterprise and blocked on SLA credits.",
      "tool: CRM says account is Acme Corp with a 2M ARR contract.",
      "agent: Last week support promised to review SLA eligibility.",
      "tool: Billing note says renewal is due next month."
    ],
    "maxFacts": 12
  }'

curl -X POST http://localhost:9300/memory/context \
  -H 'Content-Type: application/json' \
  -H 'X-Tenant-ID: default' \
  -d '{
    "goals": [{"predicate":"eligible_for_sla","args":["acme_corp"]}],
    "maxFacts": 12,
    "sessionId": "ticket-42"
  }'

curl -X POST http://localhost:9300/context/diff \
  -H 'Content-Type: application/json' \
  -H 'X-Tenant-ID: default' \
  -d '{"sessionId": "ticket-42", "maxFacts": 12}'

curl -X POST http://localhost:9300/context/session/clear \
  -H 'Content-Type: application/json' \
  -H 'X-Tenant-ID: default' \
  -d '{"sessionId":"ticket-42"}'

from nocturnusai import SyncNocturnusAIClient

with SyncNocturnusAIClient("http://localhost:9300") as client:
    ctx = client.process_turns(
        turns=[
            "user: Customer says they are enterprise and blocked on SLA credits.",
            "tool: CRM says account is Acme Corp with a 2M ARR contract.",
        ],
        scope="ticket-42",
        session_id="ticket-42",
    )

    diff = client.diff_context(session_id="ticket-42", max_facts=12)
    client.clear_context_session("ticket-42")

    print(ctx.briefing_delta)

import { NocturnusAIClient } from 'nocturnusai-sdk';

const client = new NocturnusAIClient({
  baseUrl: 'http://localhost:9300',
  tenantId: 'default',
});

const ctx = await client.processTurns({
  turns: [
    'user: Customer says they are enterprise and blocked on SLA credits.',
    'tool: CRM says account is Acme Corp with a 2M ARR contract.',
  ],
  scope: 'ticket-42',
  sessionId: 'ticket-42',
});

const diff = await client.diffContext({ sessionId: 'ticket-42', maxFacts: 12 });
await client.clearContextSession('ticket-42');
console.log(ctx.briefingDelta);

{
  "mcpServers": {
    "nocturnus": {
      "url": "http://localhost:9300/mcp/sse",
      "transport": "sse"
    }
  }
}

docker run -d --name nocturnusai -p 9300:9300 \
  --restart unless-stopped \
  -v nocturnusai-data:/data \
  ghcr.io/auctalis/nocturnusai:latest

curl http://localhost:9300/health   # Verify it's running

docker run -d --name nocturnusai -p 9300:9300 \
  --add-host=host.docker.internal:host-gateway \
  -e LLM_PROVIDER=ollama \
  -e LLM_MODEL=granite3.3:8b \
  -e LLM_BASE_URL=http://host.docker.internal:11434/v1 \
  -e EXTRACTION_ENABLED=true \
  ghcr.io/auctalis/nocturnusai:latest

make up-ollama && make smoke

nocturnusai                                # Interactive REPL
nocturnusai -e "context 10"               # Salience-ranked working set
nocturnusai -e "compress"                 # POST /memory/compress
nocturnusai -e "cleanup 0.05"             # POST /memory/cleanup

git clone https://github.com/Auctalis/nocturnusai.git && cd nocturnusai

make up                                        # Server using .env.example defaults
make up-ollama                                 # + Ollama (reuses host or starts bundled)
make up-monitoring                             # + Prometheus + Grafana
make smoke                                     # Verify health + context endpoint

./gradlew :nocturnusai-server:run              # HTTP server on :9300
./gradlew :nocturnusai-cli:run                 # Interactive REPL (JVM)
./gradlew :nocturnusai-cli:nativeCompile       # Build native binary
./gradlew test                                 # Full test suite