Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Generate responses with Prime Inference models
POST https://api.pinference.ai/api/v1/chat/completions. Pass an exact model ID from the models API.
export PRIME_API_KEY="your-api-key"
curl https://api.pinference.ai/api/v1/chat/completions \
-H "Authorization: Bearer $PRIME_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "z-ai/glm-5.3",
"messages": [{"role": "user", "content": "Hello"}]
}'
-H "X-Prime-Team-ID: your-team-id" to each request. See team billing for SDK setup and account details.
"stream": true in the request body to receive server-sent events as tokens are generated. In the OpenAI Python SDK:
stream = client.chat.completions.create(
model="z-ai/glm-5.3",
messages=[{"role": "user", "content": "Hello"}],
stream=True,
)
for chunk in stream:
if chunk.choices and chunk.choices[0].delta.content:
print(chunk.choices[0].delta.content, end="", flush=True)
response = client.chat.completions.create(
model="z-ai/glm-5.3",
messages=[{"role": "user", "content": "Hello"}],
extra_body={"usage": {"include": True}},
)
print(response.usage)
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