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Documentation Index

Fetch the complete documentation index at: https://docs.orq.ai/llms.txt

Use this file to discover all available pages before exploring further.

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Integration Types

Explore the four main categories of integrations available on Orq.ai:

LLM Providers

Connect to 20+ LLM providers including OpenAI, Claude, Mistral, and more.

Code Assistants

Integrate with AI-powered development tools like Cursor, Claude Code, Warp, and more.

Frameworks

Integrate with popular AI frameworks like LangChain, Vercel AI, DSPy, Instructor, and more.

Automations

Automate AI workflows with n8n using Orq.ai nodes for deployments and knowledge base search.

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Integrations Patterns

Orq.ai provides three integration patterns. Most teams combine them for complete AI operations.

AI Studio

Build and deploy agents with integrated LLM access

AI Router

Route LLM calls through Orq.ai for any provider

OpenTelemetry

Send observability traces from your AI frameworks

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AI Studio

Create agents and deployments in Orq.ai’s UI. They automatically access all LLM providers with built-in observability. Get started: with the AI Studio, configure your Providers

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AI Router

Change your API endpoint and start routing through Orq.ai. No SDK changes needed. 
// Just change the baseURL
const openai = new OpenAI({
  apiKey: process.env.ORQ_API_KEY,
  baseURL: "https://api.orq.ai/v3/router",
});
Benefits: Provider switching, cost tracking, automatic fallbacks, observability Get Started: with the AI Router, and configure your Providers and use your Favorite Frameworks.

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OpenTelemetry Tracing

For: Sending observability traces from your existing AI applications Instrument your framework to send traces to Orq.ai. See calls, token usage, latency, and costs. 
from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter
from openinference.instrumentation.langchain import LangChainInstrumentor

otlp_exporter = OTLPSpanExporter(
    endpoint="https://api.orq.ai/v2/otel",
    headers={"Authorization": f"Bearer {ORQ_API_KEY}"}
)

LangChainInstrumentor().instrument()
Get started: with compatible Framework Integrations