smooai-smooth-operator 1.32.0

smooai-smooth-operator — the native, fully-async Python client for the smooth-operator service.
Streaming agent turns, HITL resume, pydantic v2 models. One of five native SDKs over one schema-driven WebSocket protocol.

What is this?

The native async Python client for the smooth-operator WebSocket protocol. It connects to a running smooth-operator service (create a session, send a message, stream the agent's events back) — not the agent engine itself. The pydantic v2 models in smooth_operator._generated are generated from the language-neutral JSON Schemas in spec/ (and committed), using pydantic discriminated unions so events deserialize to the right concrete type. The wire is camelCase; you work in idiomatic snake_case.

30-second quickstart

uv add smooai-smooth-operator   # PyPI publish pending — install from the local path today

Until this package is published to PyPI, install it from a sibling checkout (uv add ../smooth-operator/python, or pip install -e path/to/smooth-operator/python). The PyPI distribution name is smooai-smooth-operator (the import package stays smooth_operator) — don't pip install smooth-operator from the public index until the SmooAI release lands.

import asyncio
from smooth_operator import SmoothAgentClient

async def main():
    client = SmoothAgentClient(url="ws://127.0.0.1:8787/ws")
    await client.connect()

    session = await client.create_conversation_session(agent_id=agent_id, user_name="Alice")

    turn = client.send_message(session_id=session.session_id, message="How long is your return window?")
    final = await turn                       # the terminal eventual_response
    print(final.data.payload.message_id)

asyncio.run(main())

(Point url at your own smooth-operator-server or the hosted endpoint.)

Watch it stream

send_message returns a turn you can async for over for live events and await for the authoritative terminal response.

turn = client.send_message(session_id=session.session_id, message="Where is my order?")

async for event in turn:
    if event.type == "stream_chunk":
        print(f"\n  ↳ node: {event.node}")          # workflow node boundary
    elif event.type == "stream_token":
        print(event.token, end="", flush=True)       # tokens, live
    elif event.type == "write_confirmation_required":
        # HITL: approve, and the resumed stream flows back into this same turn.
        await client.confirm_tool_action(
            session_id=session.session_id, request_id=turn.request_id, approved=True
        )

final = await turn                                    # the terminal eventual_response
print("\nmessageId:", final.data.payload.message_id)

%%{init: {'theme':'base','themeVariables':{'background':'#020618','primaryColor':'#0b1426','primaryTextColor':'#e6edf6','primaryBorderColor':'#2b3a52','lineColor':'#7c8aa0','actorBkg':'#0b1426','actorBorder':'#2b3a52','actorTextColor':'#e6edf6','signalColor':'#7c8aa0','signalTextColor':'#e6edf6','noteBkgColor':'#f49f0a','noteTextColor':'#1a0f00','noteBorderColor':'#ff6b6c','fontFamily':'ui-sans-serif, system-ui, sans-serif'}}}%%
sequenceDiagram
  participant App
  participant C as SmoothAgentClient
  participant S as Service
  App->>C: send_message(...)
  C->>S: { action: send_message }
  S-->>C: immediate_response (202)
  S-->>C: stream_token / stream_chunk …
  S-->>C: eventual_response (200)
  C-->>App: async-for yields events · await resolves final

camelCase wire, snake_case Python

The JSON wire form is camelCase (requestId, sessionId); the pydantic models use snake_case attributes with camelCase aliases and populate_by_name = True. So you construct/access with session.session_id, and model_dump(by_alias=True) emits the camelCase wire form.

Polyglot — one spec, five clients

%%{init: {'theme':'base','themeVariables':{'background':'#020618','primaryColor':'#0b1426','primaryTextColor':'#e6edf6','primaryBorderColor':'#2b3a52','lineColor':'#7c8aa0','secondaryColor':'#0b1426','tertiaryColor':'#0b1426','fontFamily':'ui-sans-serif, system-ui, sans-serif','clusterBkg':'#0b1426','clusterBorder':'#22304a'}}}%%
flowchart LR
  SPEC["spec/ (JSON Schema)"] --> PY["Python<br/>smooth_operator"]
  SPEC --> TS["TypeScript"]
  SPEC --> GO["Go"]
  SPEC --> NET[".NET (+ MEAI IChatClient facade)"]
  SPEC --> RS["Rust"]

Test-driven by default

Nothing here is vibe-coded — it's verified against a real LLM gateway.

%%{init: {'theme':'base','themeVariables':{'background':'#020618','primaryColor':'#0b1426','primaryTextColor':'#e6edf6','primaryBorderColor':'#2b3a52','lineColor':'#7c8aa0','secondaryColor':'#0b1426','tertiaryColor':'#0b1426','fontFamily':'ui-sans-serif, system-ui, sans-serif','clusterBkg':'#0b1426','clusterBorder':'#22304a'}}}%%
flowchart TD
  J["🎯 LLM-as-judge quality evals (Rust harness)"]
  E["🌐 Live cross-language E2E — this client boots the real server + drives a real claude-haiku-4-5 turn"]
  C["🧪 Conformance fixtures (shared across all 5 clients)"]
  U["⚡ Unit tests (discriminated-union parsing, alias round-trip, correlation)"]
  J --> E --> C --> U

26 tests. The live cross-language E2E boots a real smooth-operator-server subprocess (KB seeded) and drives a real claude-haiku-4-5 turn over WebSocket: ≥1 streamed event, a knowledge-grounded "17", per-session memory.

A real bug the live E2E caught (mocks masked it): agentId is UUID-typed in spec/, so pydantic rejected a bare string the lenient Go/TS clients accepted — surfacing a real cross-client string-vs-UUID alignment gap. A mock fixture using a valid UUID would have hidden it.

The proof story: an LLM-as-judge scored a multi-turn answer 1/5 (the runtime forgot turn 1's context); the failing eval drove a per-session-memory fix; it now scores 5/5 — a regression a substring test would have missed. See docs/EVALS.md.

Live tests are gated, never silently skipped — SMOOTH_AGENT_E2E=1 + SMOOAI_GATEWAY_KEY to run; skip cleanly otherwise.

uv run pytest                                          # no creds
SMOOTH_AGENT_E2E=1 uv run pytest -m e2e                # live cross-language E2E

Develop & regenerate

uv sync
uv run python -c "import smooth_operator"
uv run python scripts/generate.py    # regen pydantic models from ../spec via datamodel-code-generator

Smoo-powered or bring-your-own

Point url at the hosted lom.smoo.ai endpoint, or at your own self-hosted smooth-operator-server — same protocol, same client.

🧩 Part of Smoo AI

smooai-smooth-operator is built and open-sourced by Smoo AI — the AI-powered business platform with AI built into every product. It's the Python member of the polyglot SDK set (TypeScript · Python · Go · .NET · Rust) for the smooth-operator service.

• 🌐 The service — smooth-operator (protocol, server, the five clients, AWS/k8s deploy)
• 🧰 More open source from Smoo AI — smoo.ai/open-source
• ☁️ Hosted — lom.smoo.ai runs smooth-operator for you, managed and multi-tenant

🔗 Links

• 📦 PyPI — smooai-smooth-operator
• 🛰️ Protocol — docs/PROTOCOL.md
• 🧪 Evals — docs/EVALS.md
• 💬 Issues — github.com/SmooAI/smooth-operator/issues

📄 License

MIT © 2026 Smoo AI. See LICENSE.

Built by Smoo AI — AI built into every product.