nineth 0.5.20

model sdk built by the 9th ditrict at tooig

nineth

nineth is the Python SDK for the 1984 model API, built by the 9th District at Tooig.

---

Install

pip install nineth
export NINETH_API_KEY="your-api-key"

---

How it works

Every request goes through client.model.request(...).

• Pass a task. Get a response.
• Set stream=True to receive text as it arrives, word by word.
• Per request, you can opt into persistent sessions, built-in services, included services, a base-provider override, and debug telemetry.
• The server still runs the worker loop and manages the actual task state.

---

Models

Name	Description
1984-m3-0317	Most capable. Best for research and complex tasks.
1984-m2-preview	Fast and powerful. Good for most tasks.
1984-m2-light	Lightweight, quick general tasks.
1984-m1-unified	High-throughput unified model.
1984-m0-brute	Compact efficient model.
1984-m0-sm	Smallest model, fastest responses.

Set a default at client creation or pass model= per call.

---

Cookbook

1 — Get a response

The simplest case. Ask something, get the answer.

from nineth import NinethClient

with NinethClient(default_model="1984-m3-0317") as client:
    response = client.model.request("Give me a tight BTC market brief.")
    print(response["final_response"])

response is a plain dict. The text is always in response["final_response"].

---

2 — Stream the response live

Set stream=True to print text as it arrives.

from nineth import NinethClient

with NinethClient(default_model="1984-m3-0317") as client:
    for event in client.model.request("Summarise crude oil today.", stream=True):
        if event["type"] == "model_delta":
            print(event["data"]["text"], end="", flush=True)

The last event in the stream is type: result and contains the full final_response alongside iterations.

---

3 — Choose a different model per request

from nineth import NinethClient

with NinethClient() as client:
    response = client.model.request(
        "What happened with Nvidia earnings?",
        model="1984-m2-light",
    )
    print(response["final_response"])

---

4 — Control reasoning depth

Use reasoning to hint at how deeply the model should think before answering. Valid values: "low", "medium", "high". Leave it out to use the model default.

from nineth import NinethClient

with NinethClient(default_model="1984-m3-0317") as client:
    response = client.model.request(
        "Analyse the macro impact of a Fed rate pause.",
        reasoning="high",
    )
    print(response["final_response"])

---

5 — Show the model's reasoning

Set show_reasoning=True to include the model's internal chain-of-thought. This is off by default.

from nineth import NinethClient

with NinethClient(default_model="1984-m3-0317") as client:
    response = client.model.request(
        "Walk me through whether gold is trending or ranging.",
        reasoning="medium",
        show_reasoning=True,
    )
    for block in response.get("thinking", []):
        print("[thinking]", block)
    print(response["final_response"])

---

6 — Limit how many turns the model takes

max_iterations controls how many model turns the server runs. The default is 10. Most tasks finish in 1–3 turns.

from nineth import NinethClient

with NinethClient(default_model="1984-m3-0317") as client:
    response = client.model.request(
        "Give me a one-paragraph ETH brief.",
        max_iterations=2,
    )
    print(response["final_response"])

---

7 — Async usage

import asyncio
from nineth import AsyncNinethClient

async def main():
    async with AsyncNinethClient(default_model="1984-m3-0317") as client:
        response = await client.model.request(
            "Summarise macro risk factors this week.",
        )
        print(response["final_response"])

asyncio.run(main())

Async streaming works the same way:

import asyncio
from nineth import AsyncNinethClient

async def main():
    async with AsyncNinethClient(default_model="1984-m3-0317") as client:
        async for event in await client.model.request(
            "Research BTC ETF flows.", stream=True
        ):
            if event["type"] == "model_delta":
                print(event["data"]["text"], end="", flush=True)

asyncio.run(main())

---

8 — Health check

No API key needed. Use this to verify the endpoint is reachable.

from nineth import NinethClient

with NinethClient() as client:
    print(client.health())
# {'status': 'ok', 'timestamp': '2026-04-04T00:00:00+00:00'}

---

9 — Provider routing

SDK requests use the base-system provider path by default. Set base_system=False only when you explicitly want to fall back to the runtime default provider selection.

from nineth import NinethClient

with NinethClient(default_model="1984-m3-0421") as client:
    response = client.model.request(
        "Summarise today's macro tape.",
        base_system=False,
    )
    print(response["final_response"])

base_system is True by default.

---

11 — Persist and reuse a session

Set cache=True to persist the task session and receive a reusable session_id. Pass that session_id back into later requests to continue the same task memory.

from nineth import NinethClient

with NinethClient(default_model="1984-m3-0317") as client:
    first = client.model.request(
        "Start a running research notebook for crude oil.",
        cache=True,
    )
    session_id = first["session_id"]

    second = client.model.request(
        "Continue from the last note and add today's macro drivers.",
        cache=True,
        session_id=session_id,
    )
    print(second["final_response"])

If cache=False, the task is treated as one-shot and no session_id is exposed.

---

12 — Opt into built-in services

Built-in services are off by default.

• default_service=False: no built-in services
• default_service=True: all built-in services
• default_service=[...]: only the named built-in services

from nineth import NinethClient

with NinethClient(default_model="1984-m3-0317") as client:
    response = client.model.request(
        "Research OPEC headlines and summarise the impact.",
        default_service=["search_news", "search_web"],
    )
    print(response["final_response"])

---

13 — Use one include_service surface for custom services

include_service is the only custom-service surface you need.

• If you pass a local schema.py path or a directory containing schema.py, the SDK loads it locally, exposes its schema to the model, executes the emitted service call in your process, and resumes the run through the callback protocol.
• Buffered requests still auto-execute local callback services in the caller process.
• Streaming requests do not auto-execute local callback services. They pause with an awaiting_client_services event so your code can decide how to execute the local work and when to resume.
• If you pass a shorthand string such as a service-manager name, service name, or local service directory name, the SDK scans local schema.py files and prefers matches under services/ directories.
• If you pass a service manager class or instance that comes from a schema module, the SDK resolves that module automatically.
• If you pass an unresolved path string, the SDK passes it through to the API server as a server-hosted schema.py path.
• If a local service name collides with an existing server-side service name, the request fails early with a clear error instead of running the wrong service.

This keeps the public surface small while still supporting both local and server-managed services.

Local callback example:

from nineth import NinethClient

with NinethClient(default_model="1984-m3-0317") as client:
    response = client.model.request(
        "Use my local weather service and compare it with today's oil move.",
        default_service=["search_web"],
        include_service=["./services/weather/schema.py"],
    )
    print(response["final_response"])

Shorthand discovery example:

from nineth import NinethClient

with NinethClient(default_model="1984-m3-0317") as client:
    response = client.model.request(
        "Use my local weather service.",
        include_service=["WeatherServiceManager"],
    )
    print(response["final_response"])

Direct manager reference example:

from nineth import NinethClient
from myapp.schema import WeatherServiceManager

with NinethClient(default_model="1984-m3-0317") as client:
    response = client.model.request(
        "Use my local weather service.",
        include_service=[WeatherServiceManager],
    )
    print(response["final_response"])

Manual streaming callback example:

from nineth import NinethClient

with NinethClient(default_model="1984-m3-0317") as client:
    pending_process_id = None

    for event in client.model.request(
        "What is the weather like right now in sf?",
        include_service=["./regulator/schema.py"],
        stream=True,
    ):
        if event["type"] == "model_delta":
            print(event["data"].get("text", ""), end="", flush=True)
        elif event["type"] == "awaiting_client_services":
            pending_process_id = event["process_id"]
            pending_calls = event["data"]["pending_client_calls"]

    if pending_process_id:
        resume = client.model.request(
            "Resume after local weather call.",
            stream=True,
            session_id=pending_process_id,
            client_service_results=[
                {
                    "call_id": pending_calls[0]["call_id"],
                    "service_name": "get_weather",
                    "success": True,
                    "result": {"location": "San Francisco", "forecast": "sunny"},
                }
            ],
        )
        for event in resume:
            if event["type"] == "model_delta":
                print(event["data"].get("text", ""), end="", flush=True)

Server-hosted path example:

from nineth import NinethClient

with NinethClient(default_model="1984-m3-0317") as client:
    response = client.model.request(
        "Use the custom weather service and compare it with market risk sentiment.",
        default_service=["search_web"],
        include_service=["/srv/app/services/weather/schema.py"],
    )
    print(response["final_response"])

Minimal local schema.py shape:

from typing import Any, Dict


class WeatherServiceManager:
    def get_weather(self, location: str) -> Dict[str, Any]:
        return {"location": location, "forecast": "sunny"}


weather_services = {
    "get_weather": {
        "name": "get_weather",
        "description": "Return a tiny weather forecast.",
        "parameters": {
            "type": "object",
            "properties": {
                "location": {"type": "string"}
            },
            "required": ["location"],
            "additionalProperties": False,
        },
    }
}


weather_implementations = {
    "get_weather": lambda manager: manager.get_weather,
}

14 — Enable debug telemetry

Set debug=True to keep the worker's structured telemetry in the buffered response or streamed events.

from nineth import NinethClient

with NinethClient(default_model="1984-m3-0317") as client:
    response = client.model.request(
        "Research market risk and show the internal trace.",
        default_service=["search_news"],
        debug=True,
    )
    print(response.get("events", []))

---

Response shape

Buffered (stream=False)

{
    "final_response": "Bitcoin is trading near...",
    "iterations": 2,
    "usage": {"prompt_tokens": 412, "completion_tokens": 88, "total_tokens": 500},
    "thinking": [],          # only populated when show_reasoning=True
    "service_calls": [...],
    "service_responses": [...],
    "events": [...],
}

Only final_response and iterations are guaranteed to be present on every response.

Streaming (stream=True)

Each loop iteration yields a dict:

# Text arriving live
{"type": "model_delta", "data": {"text": "Bitcoin is trading..."}}

# service calls the model made
{"type": "service_call",     "data": {"service_name": "search_web", "params": {...}}}
{"type": "service_response", "data": {"service_name": "search_web", "success": True, "summary": {...}}}

# Final summary — always the last event
{"type": "result", "data": {"final_response": "...", "iterations": 2}}

---

Error handling

from nineth import NinethClient, NinethAPIError

with NinethClient(default_model="1984-m3-0317") as client:
    try:
        response = client.model.request("Analyse ETH.")
    except NinethAPIError as exc:
        print("API error:", exc)
    except ValueError as exc:
        print("Configuration error:", exc)

---

Authentication

Set NINETH_API_KEY in your environment or pass api_key= to the client constructor. That key can be any one key registered by the server's NINETH_API_KEYS registry. The health check endpoint does not require a key.