Portkey AI

What do you like best about the product?

What I like best about Portkey is that it brings structure to what is otherwise a very chaotic part of building AI products. When you're working with multiple LLMs, APIs, and edge cases, things break silently—and debugging becomes painful. Portkey acts as a unified gateway that gives you visibility, control, and reliability out of the box.

The biggest win for me is observability + control. Having centralized logs, request tracking, cost insights, and performance metrics in one place makes a huge difference. Instead of guessing what went wrong, I can actually see how prompts behave, where latency spikes happen, and how much each request costs.

It also simplifies multi-model integration. Rather than managing different APIs and retry logic across providers, everything runs through a single layer with built-in fallbacks, routing, and caching. That alone removes a lot of engineering overhead and lets me focus more on building features instead of infra.

Another big plus is cost optimization. Features like caching, usage tracking, and model routing help avoid unnecessary LLM calls and keep spend predictable, which is critical when scaling.

What do you dislike about the product?

What I dislike is that the platform can feel a bit complex initially. There’s a learning curve, especially if you’re new to LLMOps, and some areas like advanced analytics and documentation could be more polished.

What problems is the product solving and how is that benefiting you?

Portkey solves the problem of managing and scaling LLM integrations reliably. When building AI products, handling multiple model providers, debugging failures, tracking costs, and maintaining performance quickly becomes messy and time-consuming.

The biggest issue it addresses is lack of observability. Without a proper layer, it’s hard to understand how prompts are performing, where latency is coming from, or why certain responses fail. Portkey gives structured logs, request tracing, and metrics, which makes debugging and optimization much faster.

It also solves fragmentation across LLM providers. Instead of writing custom logic for each API, retries, and fallbacks, Portkey provides a unified gateway. This reduces engineering overhead and makes it easier to switch or combine models without rewriting core logic.

Another major problem is cost unpredictability. With usage tracking, caching, and smarter routing, Portkey helps control and optimize LLM spend, which becomes critical as usage scales.

What do you like best about the product?

We started using Portkey when our AI usage began getting messy across multiple models and providers. What stood out immediately was how it brings everything into one place without adding complexity.

The biggest win for us has been visibility. You can actually see what’s happening with every request — cost, latency, failures — which makes debugging and optimization way faster. The observability layer alone is worth it, especially when you’re running multiple use cases in production.

What do you dislike about the product?

The product is evolving quickly, which is great, but it also means some advanced analytics and customization options are still catching up. The UI can improve in a few areas.

What problems is the product solving and how is that benefiting you?

Another thing I really like is how easy it is to switch between models or add fallbacks without rewriting core logic. The unified API and routing save a lot of engineering time, and it removes the usual vendor lock-in headache.

Prompt management and guardrails are also well thought out. It’s not just a gateway — it actually helps you run AI systems more reliably with things like caching, retries, and policy controls built in.

Setup is straightforward, and the documentation is clear enough that you can get something running quickly.

What do you like best about the product?

The standout feature is the dashboard and analytics, which make observability and monitoring straightforward. Implementation is simple thanks to the available APIs, and there is a wide selection of LLM models and providers. It integrates smoothly into daily monitoring and troubleshooting routines.

What do you dislike about the product?

The documentation falls short and often requires users to figure things out on their own. Additionally, price tracking does not work universally across all models, and for air-gapped setups, pricing updates must be done manually, which can lead to delays in getting accurate information.

What problems is the product solving and how is that benefiting you?

This tool has been instrumental for my DevOps teams, providing deep observability and effective cost controls. It also strengthens reliability through features like routing, retries, and fallbacks, which together make our delivery process faster, more cost-efficient, and predictable for our product teams. Since adopting it, we have experienced quicker release cycles, a reduction in incidents, and more consistent spending across our RAG, ASR, and OCR services running on Kubernetes.

What do you like best about the product?

Portkey is a comprehensive platform for gen AI builders os its AI gateway is smooth integration with large language models and its guardrails have a proactive usage with its prompt management and resilience helps to track costs as per use case and save repeated llm calls which has minimum 3-5 usage per day and its implementation is super easy for any beguines and its customer support is too friendly and responses quickly and its integration is super easy and efficient. we usally have a AI integration in large scale and has the guardrails for a limited usage and this software helps me alot.

What do you dislike about the product?

the software has a lot of bugs and its complexcity for newcomers are too high with missing advanced analytics and its GUI documentation must be more flexible.

What problems is the product solving and how is that benefiting you?

it helps me in building and deploying generative AI applications for unified platform and managing models and security for its smooth operative performance.

What do you like best about the product?

It allows you to attach metadata (key-value pairs) to each request, enabling cost breakdowns per user.

What do you dislike about the product?

Lack of control You can’t choose your destination last minute. Once it’s activated, it takes you where it’s been enchanted to.

What problems is the product solving and how is that benefiting you?

Many organisations struggle with integrating multiple large language models (LLMs), managing different APIs, failures, routing, caching, etc. Portkey provides a unified gateway across 1,600+ models and many providers.