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With Portkey's AI Gateway, Guardrails, and Observability Suite, thousands of teams ship reliable, cost-efficient, and fast Gen AI apps.
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What I like most about Portkey is the visibility it gives you into your AI usage. Before using it, there was very little clarity on how much was being spent, which AI tools were being used most, or what was actually happening behind the scenes. Portkey changes that completely. The dashboard brings everything into one place costs, usage, performance and makes it easy to understand at a glance without needing a technical background. A close second is the reliability factor. Knowing that if one AI provider goes down, Portkey automatically switches to another without any disruption is genuinely reassuring. It removes a lot of the anxiety around depending on AI tools for important work, and it means things keep running smoothly without needing someone to constantly monitor and intervene. The customer support has also stood out. The team is responsive and clearly invested in making sure users get value from the product, which is not always the case with software platforms. For someone who is not deeply technical, having that support available made a real difference in feeling confident using the platform. Overall, Portkey takes what could be a complicated and fragmented experience of managing AI tools and makes it feel manageable and even straightforward.
being able to change providers with minimal effort.
The biggest advantage is the ability to use multiple LLM providers through a single API key, which simplifies integration and reduces complexity. I also really like the built-in load balancing and logging features, they provide good visibility and control over requests. Overall, the developer experience is clean and efficient.
While my overall experience with Portkey has been positive, there are a few areas that could use improvement. First, the learning curve for non-technical users can be steep. While the dashboard itself is relatively clean, understanding some of the more advanced features such as routing configurations and guardrail settings requires a level of technical familiarity that not everyone on a business team will have. Better guided tutorials or plain-language explanations within the platform would go a long way. Second, the documentation, while available, is not always written with non-developers in mind. When troubleshooting or trying to explore new features, it can be difficult to find straightforward answers without wading through technical language. Third, pricing transparency could be clearer. The platform charges based on recorded logs rather than straightforward usage, which can make it harder to predict monthly costs, especially for smaller teams or those just getting started.
Support for the end product (zed/opencode/goose) usually requires a huge amount of manual effort to keep the models up to date because you can't just select portkey from a drop down and put your key in like you can with so many other providers. models.dev or leveraging zed's Agent Client Protocol (ACP) would help a lot to smooth out the rough edges in using 3rd party tools.
I see gateways as the main blocker in portkey, for other non-compatible models, in this AI era new models are coming very frequently with different structure Its difficult to switch and adopt new models if gateway breaks for that.