Observability
Powering AI observability for world-class teams
Gain 360° visibility into every AI interaction
Get insights into cost, performance, and accuracy using our LLM observability module.
Get complete visibility with detailed logging
Portkey’s observability platform records every request and response with 40+ details around cost, performance, and accuracy.
Simplify debugging with tracing
Evaluate and enhance the response quality
Collect structured feedback at the request or conversation level to improve the model’s output
Create a FinOps strategy to optimize costs
Get observability across your AI app - AI frameworks, prompts, tool calls, and agents to debug faster.
Everything you need to measure performance
An OpenTelemetry-compatible module that offers end-to-end observability
Portkey is easy to set up, and the ability for developers to share credentials with LLMs is great. Overall, it has significantly sped up our development process.
Patrick L,
Founder and CPO, QA.tech
With 30 million policies a month, managing over 25 GenAI use cases became a pain. Portkey helped with prompt management, tracking costs per use case, and ensuring our keys were used correctly. It gave us the visibility we needed into our AI operations.
Prateek Jogani,
CTO, Qoala
Portkey stood out among AI Gateways we evaluated for several reasons: excellent, dedicated support even during the proof of concept phase, easy-to-use APIs that reduce time spent adapting code for different models, and detailed observability features that give deep insights into traces, errors, and caching
AI Leader,
Fortune 500 Pharma Company
Portkey is a no-brainer for anyone using AI in their GitHub workflows. It has saved us thousands of dollars by caching tests that don't require reruns, all while maintaining a robust testing and merge platform. This prevents merging PRs that could degrade production performance. Portkey is the best caching solution for our needs.
Kiran Prasad,
Senior ML Engineer, Ario
Well done on creating such an easy-to-use and navigate product. It’s much better than other tools we’ve tried, and we saw immediate value after signing up. Having all LLMs in one place and detailed logs has made a huge difference. The logs give us clear insights into latency and help us identify issues much faster. Whether it's model downtime or unexpected outputs, we can now pinpoint the problem and address it immediately. This level of visibility and efficiency has been a game-changer for our operations.
Oras Al-Kubaisi,
CTO, Figg
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