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Overview

Generate text responses from language models using the OpenAI-compatible chat completions API. Supports streaming, vision, audio, documents (PDFs), tool calling, and structured output.

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Minimal Example

from openai import OpenAI

client = OpenAI(
    base_url="https://hub.oxen.ai/api/ai",
    api_key="YOUR_API_KEY",
)

response = client.chat.completions.create(
    model="claude-sonnet-4-6",
    messages=[{"role": "user", "content": "What is Oxen.ai?"}],
    max_tokens=200,
)

print(response.choices[0].message.content)

curl -X POST https://hub.oxen.ai/api/ai/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "claude-sonnet-4-6",
    "messages": [{"role": "user", "content": "What is Oxen.ai?"}],
    "max_tokens": 200
  }'

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With Streaming

from openai import OpenAI

client = OpenAI(
    base_url="https://hub.oxen.ai/api/ai",
    api_key="YOUR_API_KEY",
)

stream = client.chat.completions.create(
    model="gemini-3-1-flash-lite-preview",
    messages=[{"role": "user", "content": "Write a haiku about data"}],
    stream=True,
)

for chunk in stream:
    content = chunk.choices[0].delta.content
    if content:
        print(content, end="", flush=True)
print()

curl -X POST https://hub.oxen.ai/api/ai/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gemini-3-1-flash-lite-preview",
    "messages": [{"role": "user", "content": "Write a haiku about data"}],
    "stream": true
  }'

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With a Document (PDF)

Attach a PDF with a file content part. Oxen.ai translates the document to each provider’s native format, so it works the same regardless of which model you call. 
import base64
from openai import OpenAI

client = OpenAI(
    base_url="https://hub.oxen.ai/api/ai",
    api_key="YOUR_API_KEY",
)

with open("report.pdf", "rb") as f:
    file_data = "data:application/pdf;base64," + base64.standard_b64encode(f.read()).decode()

response = client.chat.completions.create(
    model="claude-sonnet-4-6",
    messages=[
        {
            "role": "user",
            "content": [
                {"type": "file", "file": {"filename": "report.pdf", "file_data": file_data}},
                {"type": "text", "text": "Summarize the key findings."},
            ],
        }
    ],
)

print(response.choices[0].message.content)

FILE_DATA="data:application/pdf;base64,$(base64 < report.pdf | tr -d '\n')"
curl -X POST https://hub.oxen.ai/api/ai/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "claude-sonnet-4-6",
    "messages": [{
      "role": "user",
      "content": [
        {"type": "file", "file": {"filename": "report.pdf", "file_data": "'"$FILE_DATA"'"}},
        {"type": "text", "text": "Summarize the key findings."}
      ]
    }]
  }'

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Reference a document by URL

You can also point at a PDF by URL (handy for files generated in a workspace): 
from openai import OpenAI

client = OpenAI(
    base_url="https://hub.oxen.ai/api/ai",
    api_key="YOUR_API_KEY",
)

pdf_url = "https://arxiv.org/pdf/1706.03762"

response = client.chat.completions.create(
    model="claude-sonnet-4-6",
    messages=[
        {
            "role": "user",
            "content": [
                {"type": "file", "file": {"file_url": pdf_url}},
                {"type": "text", "text": "Summarize the key findings."},
            ],
        }
    ],
)

print(response.choices[0].message.content)

curl -X POST https://hub.oxen.ai/api/ai/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "claude-sonnet-4-6",
    "messages": [{
      "role": "user",
      "content": [
        {"type": "file", "file": {"file_url": "https://arxiv.org/pdf/1706.03762"}},
        {"type": "text", "text": "Summarize the key findings."}
      ]
    }]
  }'
The URL must be publicly accessible (and unexpired, if presigned). Only application/pdf is supported, and a document must be 24 MB or smaller; other inputs return a 400. See the reference for details.

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What’s Next