Add 3 lines of Python. Instantly see what each LLM call costs, who's using it, if it's failing, and whether quality is dropping — all in one dashboard.
Built by developers who got tired of paying for bloated observability platforms.
See spend broken down by model, endpoint, and user. Know instantly which feature or customer is costing the most.
P50, P95, P99 latency per call. Spot which prompts or models are dragging performance before a user complains.
Every response gets an AI quality score. See immediately if a prompt change made things worse — before it ships to users.
Slack or email alerts on errors, rate limits, cost spikes, or quality drops. Set your own thresholds.
Group traces by session and see total cost, latency, and quality per conversation thread — not just per call.
Pass a user_id and track spend per customer. Set monthly budgets per client with automatic alerts.
Healthy, Warning, or Critical — based on live error rate, latency, and quality thresholds. No digging through logs.
Inspect every prompt and response. Search, filter, replay — full audit trail with tokens, cost, and metadata.
Works with OpenAI, Anthropic, Gemini, Mistral and any custom LLM. No vendor lock-in, no infrastructure to manage.
No infrastructure to manage. No complex config. Just wrap your existing LLM client and you're done.
One package. No dependencies beyond your existing LLM SDK.
One line around your existing Anthropic or OpenAI client. No changes to your call logic.
Every call is automatically tracked — cost, latency, tokens, quality score, and full prompt/response.
Start free, scale when you need. No credit card required to get started.
No credit card required. Start tracking your first LLM calls in minutes.
prism.wrap(). Any custom or self-hosted LLM can be tracked using the manual context manager.
prism.init(), wrap your client — done. No infrastructure to manage.
Join the beta — first 100 devs get Pro free for 3 months.