Integrations¶

Connect StrataRouter to your AI framework of choice — with native integrations for every major ecosystem.

Available Integrations¶

LangChain

Native chain and retriever integration. Use StrataRouter as a routing chain inside any LangChain pipeline.

LangGraph

Graph-based stateful workflows. Route between graph nodes dynamically based on semantic intent.

CrewAI

Multi-agent team coordination. Assign tasks to the most capable agent based on query semantics.

AutoGen

Group chat speaker selection. Route conversation turns to the optimal agent automatically.

Google (Gemini)

Native Gemini 3.1 Pro and Vertex AI integration with multimodal routing support.

Custom Integrations

Build your own integration using the provider client interface. Any REST API or local model is supported.

Framework Comparison¶

Framework	Best For	Integration Style	Complexity
LangChain	Chains and retrievers	Native chain node	Low
LangGraph	Stateful workflows	Graph node router	Medium
CrewAI	Multi-agent teams	Agent selector	Medium
AutoGen	Group chat systems	Speaker selector	Medium
Custom	Any use case	REST / Python API	Variable

Quick Examples¶

LangChainLangGraphCrewAIAutoGen

from stratarouter.integrations.langchain import StrataRouterChain

router_chain = StrataRouterChain(router)
result = router_chain.route("Where's my invoice?")
print(result.route_id)  # "billing"

from stratarouter.integrations.langgraph import StrataRouterNode

node = StrataRouterNode(router)
graph.add_node("router", node)
graph.add_conditional_edges("router", node.route_fn)

from stratarouter.integrations.crewai import StrataRouterCrew

crew = StrataRouterCrew(router, agents=[billing_agent, support_agent])
result = crew.kickoff("Handle this refund request")

from stratarouter.integrations.autogen import StrataRouterSelector

selector = StrataRouterSelector(router)
groupchat = autogen.GroupChat(agents=[...], speaker_selection_method=selector)