LLMFly AI

What is LLMFly AI?

LLMFly AI is an API service that lets a server call models in its catalog—including GPT, Claude, Gemini, and Grok—through one OpenAI-compatible API. The stated aim is to call these models from the OpenAI SDK without rebuilding the integration for every provider. It is operated by FLAMEWRIGHT TECHNOLOGIES LTD.

The catalog indicates which model ID to send, and availability can change. Each model has its own input, output, and, when available, cache rates.

How to use LLMFly AI?

LLMFly AI describes a three-step quickstart:

1. Create a key — use a different key for each app and environment.
2. Update the base URL — point your server-side OpenAI client to the LLMFly AI endpoint.
3. Paste in a model ID — copy it from the catalog and start with a short, non-streaming request.

For compatible routes, the OpenAI SDK can be kept by changing the base URL, API key, and model ID. Tools, streaming, and structured output should be tested if the app uses them. The API endpoint is also documented for use from Claude Code, Codex, Cursor, automation scripts, or a server application. A copyable integration skill file is offered for use with AI coding assistants.

Core features of LLMFly AI

Unified API access to multiple models

Calls GPT, Claude, Gemini, and Grok models from one OpenAI-compatible API and client.

Per-model pricing view

Lets users compare input, output, and cache pricing in the catalog and confirm charges in usage history before sending traffic.

Separate keys per app and environment

Gives each app and environment its own key so a leaked key can be revoked without taking others offline.

Usage history

Shows what each request consumed for each model's rates.

Developer documentation and guides

Documentation covers authentication, model IDs, SDK usage, error handling, and copy-ready request examples.

Use cases of LLMFly AI

Connecting AI coding editors and agents

Use the same endpoint from Claude Code, Codex, or Cursor.

Backend services and automation scripts

Call catalog models from server applications or automation scripts using an OpenAI-compatible client.

Comparing models for real workloads

Review capabilities, context limits, and reference pricing across GPT, Claude, Gemini, and Grok to find candidate models for coding, chatbots, agents, and reasoning tasks.

Separating development and production

Use dedicated keys per environment so one key can be revoked without affecting the others.

Frequently asked questions about LLMFly AI

What does LLMFly AI do?

It lets a server call the models in the LLMFly AI catalog through one OpenAI-compatible API.

Can I keep using the OpenAI SDK?

Yes. For compatible routes, change the base URL, API key, and model ID. Test tools, streaming, and structured output if your app uses them.

Which models can I call?

The catalog shows what is available now and which model ID to send. Availability can change.

How am I charged?

Each model has its own input, output, and, when available, cache rates. Usage history shows what each request consumed.

Does LLMFly AI store prompts or responses?

Prompts and responses are processed to provide the requested API service. Retention varies by data type and is limited to what is reasonably needed for service delivery, security, disputes, and legal obligations; the Privacy Policy provides details.