smooai-smooth-operator-core 1.3.1

Native Python implementation of the smooth-operator agent engine — an in-process, OpenAI-compatible agentic tool-calling loop with knowledge grounding. The Python sibling of the Rust reference engine and the C# core.

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The Python sibling of the Rust reference engine. Agents, tools, knowledge/RAG, memory, checkpointing, human-in-the-loop, cost budgets, and workflows — as one embeddable package. It's the engine, not a notebook demo.

smooai-smooth-operator-core is the native Python implementation of the Smoo AI agent engine — the in-process observe→think→act loop that powers lom.smoo.ai. It's a sibling of the Rust reference engine and one of the polyglot set (Rust, TypeScript, Python, Go, C#/.NET) whose behavior is held at parity by a shared eval suite.

It's a library, not a client to a remote server: it is the agent, running in your Python process. Every surface is covered by fast, offline tests built on a deterministic MockLlmProvider, so the loop is verified — not vibe-coded.

Install

pip install smooai-smooth-operator-core

Import as smooth_operator_core.

Quickstart

A complete agent — no credentials needed — using the deterministic mock provider the engine's own tests run on:

import asyncio
from smooth_operator_core import SmoothAgent, AgentOptions, MockLlmProvider

async def main():
    provider = MockLlmProvider()
    provider.push_text("the answer is 42")

    agent = SmoothAgent(provider, AgentOptions(instructions="You are a helpful assistant"))
    result = await agent.run("what is the answer?")
    print(result.text)

asyncio.run(main())

SmoothAgent(chat_client, options) takes the provider (the MockLlmProvider — swap in any OpenAI-compatible client) and an AgentOptions dataclass (all fields default, so AgentOptions() is valid). await agent.run(...) returns an AgentRunResponse; result.text is the final answer.

Features

The full parity surface — every engine in the polyglot set ships it:

• Agentic tool-calling loop — observe→think→act, looping until the model answers.
• Typed tools — register tools the model can call, with parallel dispatch.
• Knowledge / RAG + vectors — ground the turn in retrieved documents.
• Memory — long-term entries recalled into context each turn.
• Compaction — a sliding-window token budget keeps the prompt under a ceiling.
• Cost / budget — per-model pricing, token + USD accounting, early stop on budget.
• Checkpointing — persist/resume a conversation via a checkpoint store.
• Rerank — rerank retrieved hits before injection (lexical reranker built in).
• Sub-agents / delegation — spawn child agents for sub-tasks.
• Cast + clearance — roles with per-role tool-access policy.
• Human-in-the-loop gate — require approval before designated tool calls run.
• Conversation thread — SmoothAgentThread carries a conversation across multiple run calls.
• LlmProvider seam + MockLlmProvider — inject any OpenAI-compatible client; the record/replay mock drives the offline tests.
• Deferred tools + tool_search — hide rarely-used tool schemas behind a meta-tool the model calls to promote the ones it needs.
• Typed workflow graph — a node/edge workflow engine alongside the agent loop.
• Parallel tool calls — dispatch ≥2 tool calls concurrently (transcript order preserved).
• Retry / backoff — retry transient model-call failures with exponential backoff.
• Streaming — stream incremental text, tool calls, and tool results as the turn runs.

Streaming

run_stream is the async streaming variant of run: it yields incremental events — text deltas as the model produces them, each tool call before dispatch, each tool result after it finishes, and a terminal done event carrying the same response run would have returned.

async for event in agent.run_stream("what is the answer?"):
    if event.type == "text":
        print(event.text, end="")
    elif event.type == "done":
        print(f"\n{event.response.text}")

Part of Smoo AI

smooth-operator-core is built and open-sourced by Smoo AI — the AI-powered business platform with AI built into every product: CRM, customer support, campaigns, field service, observability, and developer tools.

• 🚀 Smooth on the platform — smoo.ai/th
• 🧰 More open source from Smoo AI — smoo.ai/open-source
• 🧩 Run it hosted — lom.smoo.ai

Links

• lom.smoo.ai — run it hosted
• smooth-operator-core — the polyglot engine repo
• Polyglot Engines — install + hello-agent in all five languages
• smoo.ai — the product · smoo.ai/open-source — more open source

License

MIT — see LICENSE.

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Built by Smoo AI — AI built into every product.