Full-stack LLM Observability

Real-time insights, performance metrics, and powerful debugging tools to monitor and optimize every LLM interaction

Full-stack LLM Observability

Real-time insights, performance metrics, and powerful debugging tools to monitor and optimize every LLM interaction

Full-stack LLM Observability

Real-time insights, performance metrics, and powerful debugging tools to monitor and optimize every LLM interaction

Enabling 3000+ leading teams to build the future of GenAI

Enabling 3000+ leading teams to build the future of GenAI

Enabling 3000+ leading teams to build the future of GenAI

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

Monitor the lifecycle of your LLM requests in a unified,
chronological view

Monitor the lifecycle of your LLM requests in a unified, chronological view

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 real-time insights into your AI usage and spending. With full observability, you can catch cost leaks early, enforce budgets, and drive efficient AI workflows.

Collaborative libraries, templates, and intelligent organizations help teams craft better prompts.

Instand visibility, without the overhead

Get observability across your AI app - AI frameworks, prompts, tool calls, and agents to debug faster.

Side-by-side comparison

Compare and test multiple prompts simultaneously.

AI-powered assistant
Advanced templating engine

Instand visibility, without the overhead

Get observability across your AI app - AI frameworks, prompts, tool calls, and agents to debug faster.

Side-by-side comparison

Compare and test multiple prompts simultaneously.

AI-powered assistant
Advanced templating engine

Instand visibility, without the overhead

Get observability across your AI app - AI frameworks, prompts, tool calls, and agents to debug faster.

Side-by-side comparison

Compare and test multiple prompts simultaneously.

AI-powered assistant
Advanced templating engine

Everything you need to measure performance

An OpenTelemetry-compatible module that offers end-to-end observability

Logs and traces

Capture every request and trace its complete journey. Export logs to your reporting tools

Metadata

Monitor cost, performance & accuracy

Auto-instrumentation

Auto-instrument tracing, logging, and metrics for multiple LLM/agent frameworks

Analytics

Monitor real-time usage, errors, caching, feedback, and metadata.

Filters

Use 15+ filters to create tailored, actionable views of the observability dashboard

Feedback

Collect weighted feedback to evaluate and improve responses.

Everything you need to measure performance

An OpenTelemetry-compatible module that offers end-to-end observability

Logs and traces

Capture every request and trace its complete journey. Export logs to your reporting tools

Metadata

Monitor cost, performance & accuracy

Auto-instrumentation

Auto-instrument tracing, logging, and metrics for multiple LLM/agent frameworks

Analytics

Monitor real-time usage, errors, caching, feedback, and metadata.

Filters

Use 15+ filters to create tailored, actionable views of the observability dashboard

Feedback

Collect weighted feedback to evaluate and improve responses.

Everything you need to measure performance

An OpenTelemetry-compatible module that offers end-to-end observability

Logs and traces

Capture every request and trace its complete journey. Export logs to your reporting tools

Metadata

Monitor cost, performance & accuracy

Auto-instrumentation

Auto-instrument tracing, logging, and metrics for multiple LLM/agent frameworks

Analytics

Monitor real-time usage, errors, caching, feedback, and metadata.

Filters

Use 15+ filters to create tailored, actionable views of the observability dashboard

Feedback

Collect weighted feedback to evaluate and improve responses.

Trusted by Fortune 500s & Startups

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

Used by ⭐️ 16,000+ developers across the world

Trusted by Fortune 500s
& Startups

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

Used by ⭐️ 16,000+ developers across the world

Trusted by Fortune 500s & Startups

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

Used by ⭐️ 16,000+ developers across the world

Latest guides and resources

The state of AI FinOps 2025

Dive into the latest FinOps Foundation report to understand how organizations are managing their AI infrastructure costs.

Tracking LLM costs per user

Monitor and analyze user-level LLM costs across models, products or workspaces with Portkey.

FinOps practices to optimize GenAI costs

Learn how to apply FinOps principles to manage your organization's GenAI spending.

Latest guides and resources

The state of AI FinOps 2025

Dive into the latest FinOps Foundation report to understand how organizations are managing their AI infrastructure costs.

Tracking LLM costs per user

Monitor and analyze user-level LLM costs across models, products or workspaces with Portkey.

FinOps practices to optimize GenAI costs

Learn how to apply FinOps principles to manage your organization's GenAI spending.

Latest guides and resources

The state of AI FinOps 2025

Dive into the latest FinOps Foundation report to understand how organizations are managing their AI infrastructure costs.

Tracking LLM costs per user

Monitor and analyze user-level LLM costs across models, products or workspaces with Portkey.

FinOps practices to optimize GenAI costs

Learn how to apply FinOps principles to manage your organization's GenAI spending.

Start monitoring our AI stack today

Start monitoring our AI stack today

Start monitoring our AI stack today

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