Ecosystem
AI Gateway integrates with the AI development ecosystem you use. Whether you're building with LangChain, LlamaIndex, or other popular frameworks, connect through compatible APIs and get unified billing, observability, and model access.
These popular frameworks work through OpenAI-compatible endpoints or native integrations:
| Framework | Language | Integration type | Use case |
|---|---|---|---|
| LangChain | Python/JS | OpenAI-compatible | Chains, agents, RAG pipelines |
| LlamaIndex | Python | Native package | Knowledge assistants, document Q&A |
| Mastra | TypeScript | Native | AI workflows and agents |
| Pydantic AI | Python | Native | Type-safe agents, structured outputs |
| LiteLLM | Python | Native prefix | Unified LLM interface |
| Langfuse | Any | Observability | LLM analytics and tracing |
Connect LangChain through the OpenAI-compatible endpoint:
from langchain_openai import ChatOpenAI
llm = ChatOpenAI(
model="anthropic/claude-sonnet-4.5",
api_key=os.getenv("AI_GATEWAY_API_KEY"),
base_url="https://ai-gateway.vercel.sh/v1"
)
response = llm.invoke("Explain RAG in one sentence")Use the dedicated llama-index-llms-vercel-ai-gateway package:
pip install llama-index-llms-vercel-ai-gatewayfrom llama_index.llms.vercel_ai_gateway import VercelAIGateway
llm = VercelAIGateway(
model="anthropic/claude-sonnet-4.5",
api_key=os.getenv("AI_GATEWAY_API_KEY")
)Pydantic AI has a native VercelProvider for type-safe AI agents:
from pydantic_ai import Agent
from pydantic_ai.providers.vercel import VercelProvider
agent = Agent(
VercelProvider(model="anthropic/claude-sonnet-4.5"),
system_prompt="You are a helpful assistant"
)
result = agent.run_sync("What is the capital of France?")See the Framework Integrations documentation for complete setup guides.
App Attribution lets you identify your application in requests. When you include attribution headers, Vercel can feature your app—increasing visibility for your project.
Add attribution to your requests:
const response = await fetch('https://ai-gateway.vercel.sh/v1/chat/completions', {
headers: {
'Authorization': `Bearer ${apiKey}`,
'X-Vercel-AI-App-Name': 'My AI App',
'X-Vercel-AI-App-Url': 'https://myaiapp.com',
},
// ... request body
});Attribution is optional—your requests work normally without these headers.
- Set up LangChain
- Install the LlamaIndex package for knowledge apps
- Add app attribution to showcase your project
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