ainfera-langgraph — LangGraph + Ainfera Routing

LangGraph integration + Ainfera Routing. Build stateful graphs and agents — inference routed through Ainfera with signed audit per turn.

Fleet dogfood: Yavanna (LangGraph runtime).

Quickstart (curl only)

No LangGraph install required — proves the OpenAI-compatible layer graphs call:

git clone https://github.com/ainfera-ai/ainfera-langgraph
cd ainfera-langgraph
./curl-example.sh   # signup → inference → audit verify

Quickstart (LangGraph + ChatOpenAI)

pip install -r requirements.txt
export AINFERA_API_KEY=ai_infera_...  # https://app.ainfera.ai/signup
python main.py

main.py compiles a minimal StateGraph with one node using ChatOpenAI pointed at https://api.ainfera.ai/v1.

LangGraph apps + Ainfera

Use any LangChain ChatOpenAI (or model binding) with:

• base_url="https://api.ainfera.ai/v1"
• api_key=os.environ["AINFERA_API_KEY"]

Budget caps, routing, and per-turn receipts are enforced at the Ainfera API — the graph code stays vanilla LangGraph.

What this shows

• One Agent Card across providers (L1)
• Routed inference with per-call budget caps (L3)
• Hash-chained receipts per LLM turn (L4)

Other frameworks

• ainfera-letta — Letta + memory blocks
• ainfera-mcp — Claude Desktop + Cursor
• ainfera-langchain — LangChain chains
• ainfera-openai-compatible — universal wedge

Apache 2.0. © Ainfera Inc. 2026.