GonkaGate LangChain ChatOpenAI Setup

Connect LangChain to GonkaGate by keeping ChatOpenAI in place and changing only the API key, base URL, and model ID. Verify one request first. Test tool calling, structured outputs, or larger agent flows only after the base connection works.

Verify the connection with one request

import os

from langchain_openai import ChatOpenAI

llm = ChatOpenAI(
    model="qwen/qwen3-235b-a22b-instruct-2507-fp8",
    api_key=os.environ["GONKAGATE_API_KEY"],
    base_url="https://api.gonkagate.com/v1",
)

response = llm.invoke("Return exactly: LangChain connected")
print(response.content)

If this returns LangChain connected, ChatOpenAI is reaching GonkaGate. Replace the example model with a fresh ID from GET /v1/models before real traffic.

Keep the wrapper, change the connection values

Keep LangChain ChatOpenAI in place.
Change only the API key, base URL, and model ID.
Keep your existing invoke() and stream() usage around that wrapper.
Validate tool calling, structured outputs, or a larger agent flow only after the base connection works.
LangGraph, embeddings, retrievers, and broader LangChain architecture are outside this guide.

Common first failures

If you see	What it usually means	What to do
`401 invalid_api_key`	The API key is wrong or not loaded into the runtime	Check `GONKAGATE_API_KEY`, secret loading, and key state in Authentication and API Keys
`404 model_not_found`	The model ID is stale or invalid	Switch to a model ID from GET /v1/models
`429 insufficient_quota`	The prepaid USD balance is too low for this request	Top up first or reduce request cost before retrying
`429 rate_limit_exceeded`	The request was throttled	Respect `Retry-After` and add bounded backoff

If the base request works but a later LangChain step fails, confirm that step still runs through ChatOpenAI before debugging LangChain internals.

LangChain Setup

Verify the connection with one request

Keep the wrapper, change the connection values

Common first failures

See also

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