# Use the OpenAI Agents SDK with GLM-5.3 or Kimi K3

Point the SDK's OpenAI client at InferSpeed's OpenAI-compatible endpoint and pick the model. Both the Responses and the Chat Completions model classes work, including function tools. You pay per token from a prepaid balance.

Last checked: 2026-10-18 (the date the site verified this config) · openai-agents 0.24.0

## Setup

```python
# pip install openai-agents
import asyncio, os
from openai import AsyncOpenAI
from agents import Agent, OpenAIResponsesModel, Runner, function_tool, set_tracing_disabled

set_tracing_disabled(True)  # traces go to OpenAI otherwise, with a key InferSpeed does not issue
client = AsyncOpenAI(base_url="https://api.inferspeed.ai/v1", api_key=os.environ["INFERSPEED_API_KEY"])

@function_tool
def get_time() -> str:
    """Returns the current time."""
    return "12:00"

agent = Agent(name="assistant", model=OpenAIResponsesModel(model="glm-5.3", openai_client=client), tools=[get_time])
print(asyncio.run(Runner.run(agent, "What time is it?")).final_output)
```

Create a key at https://inferspeed.ai/keys and export it as `INFERSPEED_API_KEY`. Use `OpenAIChatCompletionsModel` in place of `OpenAIResponsesModel` for `/v1/chat/completions`. Verified on 2026-10-18 with `openai-agents` 0.24.0.

For Kimi K3, put `kimi-k3` in place of `glm-5.3`; the same key works.

## Model names and routing

- Set the model, as the example does. The OpenAI SDKs default to `gpt-*` names; on InferSpeed those are routed to `glm-5.3` (`kimi-k3` on a Kimi key), and small `gpt-*-mini` / `gpt-*-nano` names on `/v1/chat/completions` go to `glm-5.3-flash`. You are billed at the price of the model that served the request.
- The response says which model served it: the `model` field and the `X-Served-Model` header. The name you sent is in `X-Model-Routed-From`.
- Want an error instead of routing? Send `X-Model-Strict: 1`: an unavailable model then returns 404 `model_coming_soon` or `model_not_found`, or 400 `model_not_available`.

## Price (USD per 1M tokens)

| Model | Input | Output | Cache read | Vendor list price (in / out) |
|---|---|---|---|---|
| glm-5.3 | $0.84 | $2.64 | $0.156 | $1.40 / $4.40 |
| kimi-k3 | $1.80 | $9.00 | $0.18 | $3.00 / $15.00 |

Live prices for every model: https://inferspeed.ai/model-plaza

## Where the model comes from

glm-5.3 is published by Z.ai. It is served from the vendor's published model through more than one route; a route may run the vendor's FP8 weights on our own hardware. Vendor-reported scores and our own measurement method: https://inferspeed.ai/benchmarks.md

## Limits

- One key calls every live model (`glm-5.3`, `kimi-k3`, ...): name the model in the request. Each request is billed at the price of the model that served it.
- New accounts: 30 requests per minute and 5 concurrent requests, across all keys of the account.

## FAQ

**How do I check what I was charged?**
Call `GET https://api.inferspeed.ai/v1/usage` with your key: it returns today's and total tokens and `actual_cost`. How we check billing (charged amount equals billed tokens × published price) and how to run that check yourself: https://inferspeed.ai/benchmarks.md

We run InferSpeed.