OpenAI Compatibility

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# Complete Request & Response
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from openai import OpenAI
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client = OpenAI(
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    api_key="YOUR_ASI_ONE_API_KEY",
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    base_url="https://api.asi1.ai/v1"
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)
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response = client.chat.completions.create(
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    model="asi1-mini",
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    messages=[
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        {"role": "system", "content": "Be precise and concise."},
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        {"role": "user", "content": "What is agentic AI and how does it work?"}
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    ],
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    temperature=0.2,
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    top_p=0.9,
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    max_tokens=1000,
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    presence_penalty=0,
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    frequency_penalty=0,
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    stream=False,
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    extra_body={
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        "web_search": False
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    }
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)
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print(response.choices[0].message.content)
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print(f"Usage: {response.usage}")

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# Agentic Model with Session - Working Example
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import uuid
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from openai import OpenAI
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client = OpenAI(
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    api_key="YOUR_ASI_ONE_API_KEY",
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    base_url="https://api.asi1.ai/v1"
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)
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# Generate session ID for agentic models
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session_id = str(uuid.uuid4())
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print(f"🆔 Session ID: {session_id}")
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print("🔄 Making request to asi1-agentic...")
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response = client.chat.completions.create(
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    model="asi1-agentic",
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    messages=[
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        {"role": "user", "content": "Check latest flights arrival status on Delhi airport."}
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    ],
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    extra_headers={
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        "x-session-id": session_id
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    },
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    temperature=0.7,
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    stream=True
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)
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print("📡 Response received, streaming content:\n")
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# Handle streaming response safely
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for chunk in response:
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    # Safe check for choices and content
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    if (hasattr(chunk, 'choices') and
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        chunk.choices and
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        len(chunk.choices) > 0 and
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        hasattr(chunk.choices[0], 'delta') and
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        hasattr(chunk.choices[0].delta, 'content') and
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        chunk.choices[0].delta.content):
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        print(chunk.choices[0].delta.content, end="")
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print("\n\n🏁 Stream completed!")

1
# Web Search Integration
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from openai import OpenAI
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client = OpenAI(
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    api_key="YOUR_ASI_ONE_API_KEY",
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    base_url="https://api.asi1.ai/v1"
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)
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response = client.chat.completions.create(
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    model="asi1-extended",
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    messages=[
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        {"role": "user", "content": "Latest developments in AI research"}
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    ],
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    extra_body={
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        "web_search": True
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    }
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)
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print(response.choices[0].message.content)

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# Accessing response fields
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print(response.choices[0].message.content)  # Main answer
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print(response.model)                       # Model name
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print(response.usage)                       # Token usage
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# ASI:One specific fields
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if hasattr(response, 'executable_data'):
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print(response.executable_data) # Agent calls
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if hasattr(response, 'intermediate_steps'):
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print(response.intermediate_steps) # Reasoning steps
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if hasattr(response, 'thought'):
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print(response.thought) # Model thinking