Open-source and public first-party evidence
AI API integration examples
These pages describe integrations visible in first-party documentation or public repositories. They do not infer a private production stack, vendor spend, or revenue.
Postiz
A source-linked reading of API integration surfaces visible in the public Postiz repository, without inferring its private production stack or revenue.
Read documented integration →First-party documentationOpen WebUI
How Open WebUI documents connections to OpenAI-compatible endpoints, with an evidence boundary between supported configuration and real deployments.
Read documented integration →First-party documentationLibreChat
How LibreChat documents configurable AI endpoints, model routes, and the evidence a team should verify before choosing a production provider.
Read documented integration →First-party documentationVercel AI SDK
A documented integration pattern for selecting and configuring model providers through the Vercel AI SDK, with explicit model and cost checks.
Read documented integration →First-party documentationLiteLLM
A first-party documented pattern for calling OpenRouter through LiteLLM while preserving model, provider route, usage, and cost identity.
Read documented integration →First-party documentationContinue
A documented configuration pattern for connecting Continue to OpenRouter and checking the selected model route, credentials, capabilities, and cost.
Read documented integration →First-party documentationDify
How Dify documents model-provider configuration and what source, capability, limit, and cost evidence a team should collect before committing a workflow.
Read documented integration →First-party documentationn8n
A documented workflow integration for n8n and OpenAI, with a practical checklist for credentials, model identity, usage meters, retries, and cost.
Read documented integration →First-party documentationFlowise
A source-linked integration pattern for configuring an OpenAI chat model in Flowise and validating model identity, usage meters, retries, and workload cost.
Read documented integration →First-party documentationLangflow
How Langflow documents provider components and how to keep model, route, price, capability, and source-evidence boundaries explicit.
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