Observe. Optimize.
Secure Your LLMs.
Enterprise-grade observability for human-agent collaboration. Stop guessing why your agents are expensive. Start observing.
npm install -g llm-observer && llm-observer start> Connection established... [SECURE]
> Attaching to production cluster... [DONE]
> Stream processing active. Monitoring 1.2B tokens/day.
Tracks Claude Code, Cursor, Aider, GitHub Copilot, Windsurf, Cline, and OpenAI Codex CLI
19.2x Plan Value
Surface hidden token value. We show you exactly how much you save vs raw model costs.
Local-First
No cloud, no data leaks. 100% local observability for Cursor, Claude Code, and your stack.
Superior Coverage
First-class support for Groq (500 t/s), Ollama, and Mistral. Blazing fast inference tracking.
Semantic Drift
Detect when model responses deviate from ground truth. Stop hallucinations before users see them.
PII Redaction
Automatic detection and masking of sensitive information before it hits model providers.
Prompt Debugger
Visual replay of agent reasoning chains and tool invocations for rapid debugging.
Watch your models think
Capture every interaction across your AI stack. From raw prompts to structured outputs, LLM Observer provides real-time visibility into the "black box" of model inference.
Prompt Debugging
Step through reasoning chains and tool calls with full context.
PII Redaction
Identify and mask sensitive data using production-grade guards.
Semantic Trend Mapping
Cluster sessions by intent to monitor topic drift over time.
Free to start, upgrade when you need more
No metered requests, no surprise bills — flat pricing.
Free
Full local session tracking, no account required.
Pro
For anyone tracking real, ongoing AI spend.
Team
Everything in Pro, plus team-wide visibility.
Ready to observe excellence?
Free forever for local use. Install now and see your AI spend in under 5 minutes.
npm install -g llm-observer && llm-observer start.dmg.exe or .msi.deb, .rpm, or .AppImageAll installers are on the releases page — pick the file matching your OS above. Intel Macs: use the npm install method instead for now.