PortkeyUnified control plane to build, manage, and monitor AI applications
Overview
Key features
- AI gateway with multi-provider routing
- Prompt management and versioning
- Request logs, traces, and analytics
- Semantic caching and retries
- Guardrails for input and output validation
- Usage and cost monitoring dashboards
Pricing
- Model
- Free
- Category
- Observability
- Rating
- 4.4 / 5 (5)
Use cases
Multi-Provider LLM Routing
Route requests across OpenAI, Anthropic, and open-source models through a single unified API, with automatic fallbacks to keep applications reliable when a provider fails.
LLM Cost and Usage Monitoring
Track spend, latency, and token usage across providers and environments using dashboards to identify expensive prompts and optimize AI workload economics.
Prompt Versioning for Teams
Centrally manage and version prompts so product and engineering teams can iterate, test, and roll back changes without redeploying application code.
Guardrails and Policy Enforcement
Validate inputs and outputs with guardrails to enforce content policies, compliance rules, and quality checks across production AI applications.
Pros & Cons
Pros
- Single API across 200+ LLM providers
- Built-in observability and cost tracking
- Guardrails and policy enforcement
- Caching and fallback for reliability
Cons
- Adds an extra layer to the stack
- Advanced features require paid plans
- Learning curve for teams new to gateways
Reviews
Average from 5 ratings.
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Solid for our team
We rolled this out across the team last quarter and built-in observability and cost tracking. Guardrails for input and output validation fits neatly into how we already work, and semantic caching and retries removed a step we used to do by hand. but it has held up under daily use.
Skeptical, then convinced
I went in skeptical — most tools in this space overpromise. It actually delivers on usage and cost monitoring dashboards, and caching and fallback for reliability caught me off guard. Adds an extra layer to the stack is why this isn't a perfect score, still, I'd recommend giving it a real trial.
Years in this space
I've evaluated a lot of these over the years. What stands out here is guardrails for input and output validation — handled better than most — and caching and fallback for reliability. Adds an extra layer to the stack is my one real gripe. Worth the time if this is your use case.
Use it every day
Honestly didn't expect to like it this much. Usage and cost monitoring dashboards is exactly what I needed, and built-in observability and cost tracking. I do wish adds an extra layer to the stack, but I reach for it almost every day now and it just clicks.
Compared a few options
Evaluated this against two competitors. Where it wins: prompt management and versioning and guardrails and policy enforcement. On balance the feature set — especially semantic caching and retries — justifies the 5 stars for our use case.
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