Agent Call

import os
import openai

client = openai.OpenAI(
    base_url="https://api.trymaitai.ai/agent/",
    api_key=os.getenv("MAITAI_API_KEY"),
)

response = client.chat.completions.create(
    model="YOUR_AGENT_NAME",
    messages=[
        {"role": "user", "content": "Help me handle a refund for order 12345."},
    ],
    extra_body={
        "application": "YOUR_APPLICATION",
        "session_id": "YOUR_SESSION_ID",
        "high_performance": True,   # Optional: flatten sub-agents, run in-process
    },
)

import maitai

client = maitai.Maitai()

# Resolve the published agent (pin a version number or named release).
agent = client.agent.get("YOUR_AGENT_NAME", version="prod")

# Turn off the "progress" flow step for this request only.
agent.config.system_steps.progress = False

# Subtractively disable a capability (cannot re-enable a version-disabled one).
agent.disable_subagent("refunds")

# Seed typed state: field-level, absent keys untouched, explicit None clears.
agent.state["user_facts"] = "VIP customer since 2021"

request = agent.to_request(
    messages=[{"role": "user", "content": "Help me triage this customer ticket."}],
    session_id="YOUR_SESSION_ID",
)
response = client.agent.completions.create(request=request)
print(response.choices[0].message.content)

import json

import maitai
from maitai.models.agent.extended import AgentRequest
from maitai.models.chat import ChatCompletionParams

client = maitai.Maitai()

request = AgentRequest(
    agent="YOUR_AGENT_NAME",
    application="YOUR_APPLICATION",
    session_id="YOUR_SESSION_ID",
    params=ChatCompletionParams(
        messages=[{"role": "user", "content": "Triage this ticket."}],
        response_format={
            "type": "json_schema",
            "json_schema": {
                "name": "triage_result",
                "schema": {
                    "type": "object",
                    "properties": {
                        "priority": {"type": "string"},
                        "category": {"type": "string"},
                        "summary": {"type": "string"},
                    },
                    "required": ["priority", "category", "summary"],
                },
            },
        },
    ),
)
response = client.agent.completions.create(request=request)
result = json.loads(response.choices[0].message.content)