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Don't let avoidable LLM API errors reduce your revenue

Help your users reducing their failed LLM calls with Manifest auto-fix.

  • OEM / Embed
  • White-label ready
  • Pay-per-fix

Your team should not debug other companies' APIs

Give users their own keys and providers, and more of their requests break. When one does, they blame you, not the model.

That is exactly where Manifest auto-fix shines: A deprecated model name resolves to its successor. An out-of-range parameter is corrected. An oversized payload is trimmed. A malformed tool call is repaired against the schema the developer already declared. Everything is patched on the fly, so agents, workflows and AI applications don't suffer any downtime.

Trusted by engineers who ship at

Your users' failed LLM calls are reducing your product value. We make them disappear

Deprecated / unsupported model

The model you're calling has been retired by the provider. Requests fail until you switch to a supported one.

Malformed parameter

You're sending a parameter the model doesn't accept, like max_tokens instead of max_completion_tokens. Each provider has its own naming.

Malformed message structure

The conversation format doesn't match what the provider expects. Missing fields, wrong roles, or thinking content not included in the response.

Malformed tool schemas

Your tool definitions use schema fields the provider doesn't support, like additionalProperties on Google's API.

Context length exceeded

Your prompt plus the requested output is longer than the model's context window. Something needs to be trimmed.

Rate limit / Insufficient balance

Your API key has hit its usage cap or run out of credits. The provider rejects every request until the limit resets or you top up.

Two ways to run Manifest

Manifest as a sidecar

Your traffic never leaves your stack. When an LLM API call fails, you send the failure to Manifest and we send back the fix to apply.

  • Out of the request path, successful calls go straight to the provider
  • Fixes directly the request or suggests the change to do
  • Full bodies not sent to Manifest

Manifest as a proxy

Every LLM call runs through Manifest AI model gateway, combining fallback and auto-fix to ensure the maximum success rate.

  • One API endpoint for all models
  • Custom routing and fallback
  • Observability and full traces

Embed Manifest inside your product.

Frequently asked questions

How do we embed Manifest?

Dummy answer. Add the plugin or call the correction API directly. Requests keep the shapes your users already send.

Can we white-label it?

Dummy answer. Badge it as "powered by Manifest" or white-label it entirely. Both are supported.

What does the design-partner program include?

Dummy answer. Early access to the embed API and direct input on the roadmap.

How is pricing handled for our users?

Dummy answer. We work it out with design partners case by case.