openharness-sdk 0.3.0

Python SDK for openHarness — drive the `oh` terminal coding agent from Python.

openharness — Python SDK for openHarness

Drive the oh terminal coding agent from Python. Stream tokens and tool calls, control permissions and models, all with a small async API.

Prerequisite

Install the oh CLI first (via npm):

npm install -g @zhijiewang/openharness

The Python SDK finds oh on PATH. To point at a specific binary, set OH_BINARY=/absolute/path/to/oh.

Install

pip install openharness-sdk

The PyPI distribution is openharness-sdk (the shorter openharness name is taken by an unrelated project). The import path remains from openharness import ....

Requires Python ≥3.10. Small dependency surface: the mcp SDK and uvicorn (pulled in to host Python-defined tools as MCP servers). Both are optional to use — query() without tools= never touches them at runtime — but they're installed eagerly for simplicity.

Quick start

import asyncio
from openharness import query, TextDelta, ToolStart, ToolEnd

async def main() -> None:
    async for event in query(
        "Summarize the README.md in this directory.",
        model="ollama/llama3",
        permission_mode="trust",
        max_turns=5,
    ):
        if isinstance(event, TextDelta):
            print(event.content, end="", flush=True)
        elif isinstance(event, ToolStart):
            print(f"\n[tool: {event.tool}]", flush=True)
        elif isinstance(event, ToolEnd):
            print(f"[{event.tool} → {'error' if event.error else 'ok'}]", flush=True)

asyncio.run(main())

Multi-turn sessions

For conversations that span multiple prompts (notebooks, chatbots, agents), use OpenHarnessClient:

import asyncio
from openharness import OpenHarnessClient, TextDelta

async def main() -> None:
    async with OpenHarnessClient(model="ollama/llama3", permission_mode="trust") as client:
        async for event in await client.send("What is 1+1?"):
            if isinstance(event, TextDelta):
                print(event.content, end="")
        print()
        async for event in await client.send("And times 3?"):  # remembers the prior turn
            if isinstance(event, TextDelta):
                print(event.content, end="")

asyncio.run(main())

The client keeps a single oh session subprocess warm across calls, preserving conversation state in-process. Concurrent send() calls on one client are serialized via an asyncio.Lock. Call close() (or exit the async context) to terminate the subprocess.

Custom Python tools

Expose your own Python functions to the agent. Decorate with @tool, then pass the callables via tools=[...] on either query() or OpenHarnessClient:

import asyncio
from openharness import OpenHarnessClient, ToolEnd, tool


@tool
async def get_weather(city: str) -> str:
    """Fetch the current weather for a city."""
    return f"Sunny in {city}, 22°C"


async def main() -> None:
    async with OpenHarnessClient(
        model="ollama/llama3",
        tools=[get_weather],
    ) as client:
        async for event in await client.send("What's the weather in Paris?"):
            if isinstance(event, ToolEnd):
                print(event.tool, event.output)


asyncio.run(main())

Under the hood the SDK spins up an in-process MCP HTTP server on a random 127.0.0.1 port, writes an ephemeral .oh/config.yaml pointing at it, and runs oh with that temp dir as its cwd. Any existing user config at the caller-supplied cwd= is preserved.

Use @tool(name="custom-name", description="…") to override the auto-inferred metadata. Sync and async functions both work.

API

query(prompt, **options) -> AsyncIterator[Event]

Run a single prompt and stream events as they arrive. Options:

Option	Type	Default	Description
model	str | None	from config	Model string (e.g. "ollama/llama3", "claude-sonnet-4-6").
permission_mode	str	"trust"	One of "ask", "trust", "deny", "acceptEdits", "plan", "auto", "bypassPermissions".
allowed_tools	Sequence[str] | None	None	Whitelist of tool names.
disallowed_tools	Sequence[str] | None	None	Blacklist of tool names.
max_turns	int	20	Maximum number of model turns.
system_prompt	str | None	None	Override the default system prompt.
cwd	str | None	current dir	Working directory for the spawned CLI.
env	dict[str, str] | None	None	Env vars merged on top of os.environ.
tools	Sequence[Callable] | None	None	Python callables (optionally @tool-decorated) to expose to the agent via an in-process MCP server.

Event types

All events are frozen dataclasses. Use isinstance to discriminate.

• TextDelta(content: str) — streaming text from the assistant
• ToolStart(tool: str) — the assistant is about to call a tool
• ToolEnd(tool: str, output: str, error: bool) — tool invocation finished
• ErrorEvent(message: str) — recoverable error during the turn
• CostUpdate(input_tokens: int, output_tokens: int, cost: float, model: str) — cost + usage
• TurnComplete(reason: str) — one model turn ended; reason is "completed", "max_turns", "error", etc.
• UnknownEvent(raw: dict) — forward-compatibility shim for future event types

Exceptions

• OhBinaryNotFoundError — raised when oh can't be located on PATH or via OH_BINARY.
• OpenHarnessError — raised when the subprocess exits non-zero. Has .stderr and .exit_code attributes.

Cancellation

Standard asyncio cancellation works. The spawned subprocess is sent SIGTERM (SIGBREAK on Windows) and given up to 5 seconds to exit cleanly before being kill()ed.

task = asyncio.create_task(collect_events())
await asyncio.sleep(1)
task.cancel()

Relationship to @zhijiewang/openharness

This Python package is a thin subprocess wrapper around the oh CLI shipped by the npm package @zhijiewang/openharness. It does not re-implement the agent loop. This means:

• You always get the latest CLI features by upgrading the npm package.
• All providers (Anthropic, OpenAI, Ollama, OpenRouter, llama.cpp, LM Studio) work as-is.
• All tools and MCP servers configured in .oh/config.yaml apply.
• The Python SDK follows its own independent SemVer track (0.x series at launch).

License

MIT. See LICENSE.