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Full-Stack LLM Observability
Real-time insights, performance metrics, and powerful debugging tools to monitor and optimise every LLM interaction across your entire AI stack.
Everything You Need to See Inside Your AI
Portkey records every request and response with 40+ metadata fields giving you the data to debug fast, cut costs, and improve quality.
Detailed Request Logging
Every request and response recorded with 40+ fields model, tokens, cost, latency, user ID, and custom metadata.
- Cost and latency per request
- 40+ metadata fields
- Filter by any attribute
- Exportable log data
Distributed Tracing
Monitor the full lifecycle of LLM requests and agentic workflows in a unified, chronological trace view from first prompt to final response.
- End-to-end request traces
- Tool call and sub-agent tracing
- Timeline view of every step
- Linked to cost and token data
Feedback & Eval Pipelines
Collect structured feedback at the request or conversation level. Run RAGAS, G-Eval, and custom eval pipelines on live production traffic.
- Human and AI feedback collection
- RAGAS, G-Eval, custom evals
- Hallucination scoring
- Feed into RLHF and fine-tuning
FinOps & Cost Dashboards
Real-time cost attribution per model, team, user, and project. Catch cost leaks early, enforce budgets, and drive efficient AI workflows.
- Cost per model and team
- Budget guardrail alerts
- Real-time spend dashboards
- Historical trend analysis
Observability Integrations
Export traces to Langfuse, Datadog, Arize, Weights & Biases, and more without changing your application code.
- Langfuse, Datadog, Arize, W&B
- One-click export
- No code changes needed
- Works with any stack
Advanced Log Filtering
Filter production logs by model, cost, latency, user, custom metadata, and eval scores to pinpoint issues in seconds.
- Filter by 40+ dimensions
- Full-text search
- Save custom filter views
- Export filtered results
The Observability Layer Your AI Stack Has Been Missing
Most LLM applications ship without proper monitoring. Portkey adds a complete observability layer token traces, cost attribution, evals, and integrations in minutes, not weeks.
- Deploy with two lines of code no manual instrumentation
- Trace every agent step, tool call, and LLM response
- Attribute cost and latency to every user and team
- Run evals on live traffic without a separate infrastructure