deepseek-harness/python/sdk/src/deepseek_harness/api.py

from __future__ import annotations

import uuid
from dataclasses import dataclass, field
from pathlib import Path
from typing import Callable

from .client import HarnessClient, HarnessConfig
from .models import JsonObject, Notification


@dataclass(slots=True)
class DeepSeekHarnessConfig:
    """Configuration for launching the local DeepSeek Harness SDK runtime.

    The runtime inherits the caller's environment by default, so existing
    DEEPSEEK_API_KEY and DEEPSEEK_BASE_URL settings keep working. Use ``env`` to
    intentionally override or inject variables for a subprocess.
    """

    provider: str = "deepseek"
    model: str = "deepseek-v4-flash"
    max_tokens: int | None = None
    cwd: str | None = None
    runtime_cwd: str | None = None
    session_root: str | None = None
    cordis: str | None = None
    env: dict[str, str] = field(default_factory=dict)
    runtime_bin: str | None = None
    launch_args_override: tuple[str, ...] | None = None
    request_timeout_seconds: float | None = None
    shutdown_timeout_seconds: float | None = 1.0
    base_url: str | None = None
    api_key: str | None = None


@dataclass(slots=True)
class TurnResult:
    session_id: str
    status: str
    final_response: str
    events: list[JsonObject]
    notifications: list[Notification]
    session_root: str | None = None


class DeepSeekHarness:
    """Reusable synchronous SDK for running DeepSeek Harness agent turns.

    The runtime subprocess starts lazily and remains owned by this instance
    across calls to :meth:`run`. Use the instance as a context manager, or call
    :meth:`close` explicitly when finished, so the subprocess is always reaped.
    """

    def __init__(self, config: DeepSeekHarnessConfig | None = None, **kwargs: object) -> None:
        if config is not None and kwargs:
            raise TypeError("pass either DeepSeekHarnessConfig or keyword options, not both")
        self.config = config or DeepSeekHarnessConfig(**kwargs)
        cwd = str(Path(self.config.cwd or Path.cwd()).resolve())
        runtime_cwd = str(Path(self.config.runtime_cwd).resolve()) if self.config.runtime_cwd is not None else cwd
        self._cwd = cwd
        env = dict(self.config.env)
        if self.config.session_root is not None:
            env["DSH_SESSION_ROOT"] = self.config.session_root
        if self.config.cordis is not None:
            env["DSH_CORDIS_CONFIG"] = self.config.cordis
        env["DSH_CWD"] = cwd
        if self.config.base_url is not None:
            env["DEEPSEEK_BASE_URL"] = self.config.base_url
        if self.config.api_key is not None:
            env["DEEPSEEK_API_KEY"] = self.config.api_key

        self._client = HarnessClient(
            HarnessConfig(
                runtime_bin=self.config.runtime_bin,
                launch_args_override=self.config.launch_args_override,
                cwd=runtime_cwd,
                env=env,
                request_timeout_seconds=self.config.request_timeout_seconds,
                shutdown_timeout_seconds=self.config.shutdown_timeout_seconds,
            )
        )
        self._initialized = False

    def __enter__(self) -> "DeepSeekHarness":
        self.start()
        return self

    def __exit__(self, _exc_type, _exc, _tb) -> None:
        self.close()

    @property
    def client(self) -> HarnessClient:
        return self._client

    def start(self) -> None:
        if self._initialized:
            return
        self._client.start()
        self._client.initialize(
            cwd=self._cwd,
            provider=self.config.provider,
            model=self.config.model,
            max_tokens=self.config.max_tokens,
        )
        self._initialized = True

    def close(self) -> None:
        self._client.close()
        self._initialized = False

    def start_session(self, session_id: str | None = None) -> "Session":
        self.start()
        return Session(self, session_id or f"session-{uuid.uuid4().hex}")

    def run(
        self,
        input: str | list[JsonObject],
        *,
        session_id: str | None = None,
        on_notification: Callable[[Notification], None] | None = None,
    ) -> TurnResult:
        return self.start_session(session_id).run(input, on_notification=on_notification)


class Session:
    def __init__(self, harness: DeepSeekHarness, session_id: str) -> None:
        self.harness = harness
        self.id = session_id

    def run(
        self,
        input: str | list[JsonObject],
        *,
        on_notification: Callable[[Notification], None] | None = None,
    ) -> TurnResult:
        content_blocks = normalize_input(input)
        notifications: list[Notification] = []
        events: list[JsonObject] = []
        status = "error"
        finished = False

        def collect(notification: Notification) -> None:
            nonlocal finished, status
            notifications.append(notification)
            if on_notification is not None:
                on_notification(notification)
            if (
                notification.method == "session.event"
                and notification.payload.get("sessionId") == self.id
            ):
                event = notification.payload.get("event")
                if isinstance(event, dict):
                    events.append(event)
            if notification.method == "session.finished" and notification.payload.get("sessionId") == self.id:
                status = str(notification.payload.get("status") or "ok")
                finished = True

        with self.harness.client.subscribe_session_notifications(self.id) as subscription:
            self.harness.client.session_prompt(
                self.id,
                content_blocks,
                on_notification=collect,
                notification_subscription=subscription,
            )

            while not finished:
                notification = subscription.next()
                collect(notification)

        return TurnResult(
            session_id=self.id,
            status=status,
            final_response=final_response(events),
            events=events,
            notifications=notifications,
            session_root=self.harness.config.session_root,
        )


def normalize_input(input: str | list[JsonObject]) -> list[JsonObject]:
    if isinstance(input, str):
        return [{"type": "text", "text": input}]
    return input


def final_response(events: list[JsonObject]) -> str:
    for event in reversed(events):
        if event.get("type") != "assistant/message":
            continue
        data = event.get("data")
        if not isinstance(data, dict):
            continue
        message = data.get("message")
        content_owner = message if isinstance(message, dict) else data
        content = content_owner.get("content")
        if not isinstance(content, list):
            continue
        parts: list[str] = []
        for block in content:
            if isinstance(block, dict) and block.get("type") == "text":
                parts.append(str(block.get("text") or ""))
        return "".join(parts)
    return ""