Axemere AI Gateway LangChain integration — ChatAiGateway BaseChatModel
Project description
axemere-gateway-langchain
LangChain BaseChatModel integration for the Axemere AI Gateway. Drop ChatAiGateway into any LangChain chain or agent — the gateway adds cost controls, policy enforcement, and an append-only audit ledger to every call.
Install
pip install axemere-gateway-langchain
Usage
from axemere.gateway.langchain import ChatAiGateway
llm = ChatAiGateway(provider="openai", model="gpt-4o-mini")
# reads AXEMERE_GATEWAY_URL + AXEMERE_WORKLOAD_TOKEN from env
response = llm.invoke("Hello")
print(response.content)
Works anywhere a LangChain BaseChatModel is accepted — chains, agents, LCEL pipelines.
Configuration
| Env var | Description |
|---|---|
AXEMERE_GATEWAY_URL |
Gateway base URL, e.g. http://localhost:7080 |
AXEMERE_WORKLOAD_TOKEN |
Workload token issued by the gateway |
Links
License
MIT
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