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Tianyi Cui 28442337cf feat(python-example): select the persistent shell by platform

Make the checked-in minimal SDK overlay disable both one-shot shell rows and mount exactly one persistent PTY stack: Bash on Linux/macOS and PowerShell on Windows. The SDK server, explicit dsh home, persistence, editor, timeout, and reduced tool catalog remain unchanged.

Update the runnable example and tutorial to list Windows x64 as supported, describe the platform-selected shell, and remove the obsolete POSIX-only restriction. This keeps the documented first Python task executable through the packaged Windows dsh profile instead of advertising a Linux-only overlay on a Windows-capable SDK.

2026-08-24 19:09:40 +08:00

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Get started with the Python SDK

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This tutorial installs the published Python SDK, runs the shipped standalone minimal profile, and shows how to customize the same dsh profile from your own program.

Prerequisites

Python 3.10 or newer
Git
Linux x64, Linux arm64, macOS 14 or newer on arm64, or Windows x64
A DeepSeek-compatible API endpoint and credential
An isolated workspace and an isolated Harness home

Install the SDK

git clone https://github.com/deepseek-ai/deepseek-harness.git
cd deepseek-harness
python -m venv .venv
. .venv/bin/activate
python -m pip install deepseek-harness-sdk

The installation includes a matching native runtime wheel and the dsh command. Normal SDK execution needs no system Node.js. Repository contributors who build the artifacts should use the Python contributor workflow.

Run the checked-in example

Export the credential and, when needed, a compatible proxy endpoint:

export DEEPSEEK_API_KEY=sk-your-key-here
# export DEEPSEEK_BASE_URL=http://127.0.0.1:8000/v1

Run one task with explicit workspace and home paths:

python examples/python-sdk-agent/minimal.py \
  --workspace /absolute/path/to/disposable-workspace \
  --dsh-home /absolute/path/to/example-dsh-home \
  --session-id example-001 \
  "Inspect the repository and fix the failing tests."

The script prints the final assistant response. The selected home receives the generated sdk-minimal profile, installed plugins, and uncompressed JSONL session logs under sessions/. The example and SDK never silently read ~/.dsh.

Use the SDK in your program

from pathlib import Path

from deepseek_harness import DeepSeekHarness

workspace = Path("/absolute/path/to/disposable-workspace").resolve()
dsh_home = Path("/absolute/path/to/example-dsh-home").resolve()
with DeepSeekHarness(
    provider="deepseek-official",
    model="deepseek-v4-flash",
    max_tokens=49_152,
    cwd=str(workspace),
    dsh_home=str(dsh_home),
    profile="sdk-minimal",
) as harness:
    result = harness.run(
        "Inspect the repository and fix the failing tests.",
        session_id="example-001",
    )

print(result.final_response)

The SDK starts the bundled dsh --profile sdk-minimal process lazily and reuses it until context-manager exit. The profile, its persistent patch, the home patch, and any ordered patches tuple form the application configuration. There is no separate Python runtime bin or complete-config option.

Install or define plugins

Use dsh plugin for dependencies and bundle layers that should persist in this home:

export DSH_HOME=/absolute/path/to/example-dsh-home
dsh --profile sdk-minimal --dump-default-config >/dev/null
dsh plugin --profile sdk-minimal add file:/absolute/path/to/my-plugin-bundle

The first command initializes the shipped standalone profile. The second forwards package management to pnpm, then records any installed package that exports a dsh.bundle layer. Install pnpm only for this management command; launching the installed SDK does not need it. Edit $DSH_HOME/profiles/sdk-minimal/cordis.patch.yml for persistent row changes, or pass patch files from Python for per-launch changes.

Another profile is valid when it includes @deepseek-ai/dsh-sdk-app or another JSON-RPC server row. Missing server rows, unresolved plugins, and invalid patches fail during startup instead of falling back to another composition.

Understand the minimal profile

Property	Value
System prompt	`DSH_SYSTEM_PROMPT`, falling back to `You are a helpful software engineer assistant.`
Model in `minimal.py`	`--model`, then `DSH_MODEL`, then `deepseek-v4-flash`
Model-facing tools	Persistent `bash` on Linux/macOS or `pwsh` on Windows, plus `str_replace_editor`
Shell timeout	300 seconds
Editor output limit	16,000 characters
Runtime context and compaction	Absent
Session persistence	Uncompressed JSONL under `<dsh_home>/sessions`

The profile's sole bundle inserts the complete tree over an empty root and does not include dsh-base; later base-profile tools therefore cannot appear implicitly. It contains the SDK protocol, one environment-configured DeepSeek adapter, local execution, and persistence, while settings, managed credentials, telemetry, Web tools, subagents, local instruction discovery, and compaction are absent. It pins danger-full-access, so the platform-selected persistent shell and editor can modify any path visible to the runtime; use a disposable checkout or container.

The installed wheel still packages the full web profile and frontend assets. Run dsh web against an explicit DSH_HOME when a Python SDK deployment also needs the browser application; web is a separate CLI application and cannot serve a Python SDK client.

Use a fresh home when profiles, plugins, credentials, settings, and sessions must be isolated. Use a fresh session id for independent work; reuse a harness, home, and id only to continue the same durable conversation and session-owned resources.

The bundle reference owns the exact tree, and the example reference owns the runnable program. The Python SDK reference covers lifecycle, results, notifications, and low-level behavior; the dsh CLI reference covers profile layering.

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