Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Learn how to use Pydantic AI with ScitiX Model Inference to build typed Python agents with tool calling support.
glm-5.2; see the Models page for the full list and pricing.
export SCITIX_API_KEY="<Your API Key>"
OpenAIChatModel with an OpenAIProvider whose base_url is the ScitiX endpoint:
import os
from pydantic_ai import Agent
from pydantic_ai.models.openai import OpenAIChatModel
from pydantic_ai.providers.openai import OpenAIProvider
model = OpenAIChatModel(
"glm-5.2",
provider=OpenAIProvider(
base_url="https://api.scitix.ai/model-api/v1",
api_key=os.environ["SCITIX_API_KEY"],
),
)
agent = Agent(model)
| Field | Description |
|---|---|
OpenAIChatModel("<id>") | ScitiX model ID, e.g. glm-5.2. Class name is OpenAIChatModel in Pydantic AI 2.x; older 1.x used OpenAIModel. |
OpenAIProvider(base_url=…) | ScitiX OpenAI-compatible endpoint: https://api.scitix.ai/model-api/v1. The OpenAI provider appends /chat/completions. |
OpenAIProvider(api_key=…) | Your ScitiX API key, read from the environment |
result = agent.run_sync("In one short sentence, which model are you?")
print(result.output)
# → a normal completion from ScitiX, e.g. "I am GLM, a large language model…"