LangChain LLM Proxy Integration
Connect LangChain applications to your LLM proxy for unified access to all AI providers. Build chains, agents, and RAG applications with centralized management and monitoring.
Seamless Connection
Use standard LangChain APIs with zero code changes. Just update your endpoint URL.
Multi-Model Chains
Switch between models in your chains. Route tasks to optimal providers dynamically.
Unified Monitoring
Track all LangChain interactions through proxy dashboards. Monitor costs and usage.
Setup Timeline
Integrate LangChain with your proxy in four simple steps
Install Dependencies
Install LangChain with OpenAI integration for proxy compatibility.
pip install langchain langchain-openai pip install langchain-community langchain-core
Configure Proxy Connection
Point LangChain to your proxy endpoint using OpenAI-compatible configuration.
from langchain_openai import ChatOpenAI llm = ChatOpenAI( model="gpt-4", api_key="your-proxy-key", base_url="https://proxy.example.com/v1" )
Build Your Chain
Create LangChain chains, agents, or RAG pipelines using standard patterns.
from langchain_core.prompts import ChatPromptTemplate from langchain_core.output_parsers import StrOutputParser prompt = ChatPromptTemplate.from_messages([ ("system", "You are helpful."), ("user", "{input}") ]) chain = prompt | llm | StrOutputParser()
Execute & Monitor
Run your chains and monitor all interactions through the proxy dashboard.
result = chain.invoke({ "input": "Explain RAG systems" }) print(result)
Integration Benefits
What you gain from connecting LangChain to your proxy
Provider Flexibility
Switch between OpenAI, Anthropic, Google, and more without changing LangChain code.
Automatic Caching
Responses cached at proxy level. Reduce costs and latency for repeated queries.
Simplified Secrets
One proxy key replaces multiple provider credentials. Easier rotation and management.
Automatic Failover
Chains continue when providers fail. Proxy handles retries and fallbacks transparently.
Usage Analytics
Track chain performance, token usage, and costs in centralized dashboards.
Rate Limit Protection
Proxy-level rate limiting prevents quota exhaustion across distributed deployments.
Access All Providers Through One Integration
Start Building with LangChain
Connect LangChain to your proxy for unified AI access. Build powerful chains and agents with centralized monitoring, caching, and multi-provider support.
Related Resources
Build AI Agents
Create intelligent agents with tool calling and memory through your proxy.
Tool Calling Guide
Implement function calling with automatic schema translation.
Multi-Provider Setup
Configure access to OpenAI, Anthropic, Google, and more.
Streaming Responses
Stream chain outputs in real-time for responsive applications.