mirror of
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* feat: tune reviewer for precision — web/wiki tools + recalibrated prompt Reviewer agent now has web_search, fetch_url, and http_request alongside the finding tools, so it can verify library semantics and consult the DeepWiki auto-generated wiki for public repos (https://deepwiki.com/<owner>/<repo>) before flagging cross-file or architectural concerns. Prompt rewritten to push precision over recall: - explicit severity ladder pushing reviews toward bimodal high/low instead of defaulting to medium - ≤200-char description target (gold set averages ~186 chars; we were at ~436) - mandatory docs / wiki / code lookup before flagging concurrency, security, or perf — the three categories that dominated false positives - "do not flag" list covering compiler/linter-catchable nits, speculative claims without a concrete attacker/interleaving/scale, style preferences the codebase doesn't share, and test-quality nits on non-test diffs - smart file-selection guidance for large PRs (deprioritize generated / vendored / pure-rename hunks) Eval config switched to openai:gpt-5.5 + high reasoning effort for the next benchmark run. * trim prompt * subagent prompting * confidence ratings * added medium * enforce confidence threshold * . * reviewer: precision-tuned prompt + drop confidence gate Rewrites the reviewer system prompt around a defensibility bar (anchor + failure mode + maintainer wouldn't say "not a bug"), an explicit do-not-file list (style nits, speculation, scope-policing, same-bug fan-out), and a checklist of 10 bug archetypes drawn from a per-PR audit of the eval golden set. The audit showed 145 FPs in the last eval split ~28% speculative, ~26% style-nit, ~31% real-but-unscored (mostly same-archetype fan-out); the new prompt targets each class directly. Confidence is still recorded on every finding for post-hoc calibration but no longer gates publication — the audit showed the gate was a no-op (agent self-rated 65% of findings "high" regardless), and the prompt's defensibility bar is the actual discipline. Drops CONFIDENCE_ORDER, CONFIDENCE_THRESHOLD, the confidence_threshold kwarg on filter_findings_for_publish, the confidence_filtered score_mode, and the min_confidence kwarg on the eval target's _extract_comments — all dead once the gate is gone. Also removes the "informational" severity tier from the Severity enum, SEVERITY_ORDER, and all validators / tests / docstrings. It was reserved for FYI observations the dataset never rewards. * benchmax * adding google provider * slight steering * tuning * more tuning * fix * cleanup * reducing overfitting * Add per-repo review style profiles and inject them into the reviewer. Dashboard users can analyze historical PR review feedback per repository, edit the resulting style guide, and have it loaded from LangGraph Store at reviewer runtime (including Martian eval runs) keyed by owner/name. Co-authored-by: Cursor <cursoragent@cursor.com> * Fix review style job errors leaking exception details to clients. Return generic dashboard messages while logging full stack traces server-side. Co-authored-by: Cursor <cursoragent@cursor.com> --------- Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com> Co-authored-by: Cursor <cursoragent@cursor.com>
552 lines
23 KiB
Markdown
552 lines
23 KiB
Markdown
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# Installation Guide
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This guide walks you through setting up Open SWE end-to-end: local development, GitHub App creation, LangSmith configuration, webhooks, and production deployment.
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> **The steps are ordered to avoid forward references.** Each step only depends on things you've already completed.
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## Prerequisites
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- **Python 3.11 – 3.13** (3.14 is not yet supported due to dependency constraints)
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- [uv](https://docs.astral.sh/uv/) package manager
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- [LangGraph CLI](https://langchain-ai.github.io/langgraph/cloud/reference/cli/)
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- [ngrok](https://ngrok.com/) (for local development — exposes webhook endpoints to the internet)
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## 1. Clone and install
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```bash
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git clone https://github.com/langchain-ai/open-swe.git
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cd open-swe
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uv venv
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source .venv/bin/activate
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uv sync --all-extras
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```
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## 2. Start ngrok
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You'll need the ngrok URL in subsequent steps when configuring webhooks, so start it first.
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```bash
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ngrok http 2024 --url https://some-url-you-configure.ngrok.dev
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```
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You don't need to pass the `--url` flag, however doing so will use the same subdomain each time you startup the server. Without this, you'll need to update the webhook URL in GitHub, Slack and Linear every time you restart your server for local development.
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Copy the HTTPS URL you set, or if you didn't pass `--url`, the one ngrok gives you. You'll paste this into the webhook settings in steps 3 and 5.
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> Keep this terminal open — ngrok needs to stay running during local development. Use a second terminal for the rest of the steps.
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## 3. Create a GitHub App
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Open SWE authenticates as a [GitHub App](https://docs.github.com/en/apps/creating-github-apps) to clone repos, push branches, and open PRs.
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### 3a. Choose your OAuth provider ID
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Before creating the app you need to decide on an **OAuth provider ID** — this is a short string you'll use in both GitHub and LangSmith to link the two. Pick something memorable, for example:
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```
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your-org-github-oauth
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```
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Write this down. You'll use it in the callback URL below and again in step 4 when configuring LangSmith.
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### 3b. Create the app
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1. Go to **GitHub Settings → Developer settings → GitHub Apps → New GitHub App**
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2. Fill in:
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- **App name**: `open-swe` (or your preferred name)
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- **Homepage URL**: This can be any valid URL — it's only shown on the GitHub Marketplace page (which you won't be using). Use something like `https://github.com/langchain-ai/open-swe`
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- **Callback URL**: `https://smith.langchain.com/host-oauth-callback/<your-provider-id>` — replace `<your-provider-id>` with the ID you chose in step 3a (e.g. `https://smith.langchain.com/host-oauth-callback/your-org-github-oauth`)
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- **Request user authorization (OAuth) during installation**: ✅ Enable this
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- **Webhook URL**: `https://<your-ngrok-url>/webhooks/github` — use the ngrok URL from step 2
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- **Webhook secret**: generate one and save it — you'll need it later as `GITHUB_WEBHOOK_SECRET`:
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```bash
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openssl rand -hex 32
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```
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3. Set permissions:
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- **Repository permissions**:
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- Contents: Read & write
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- Pull requests: Read & write
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- Issues: Read & write
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- Metadata: Read-only
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4. Under **Subscribe to events**, enable:
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- `Issue comment`
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- `Pull request review`
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- `Pull request review comment`
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5. Click **Create GitHub App**
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### 3c. Collect credentials
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After creating the app:
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1. **App ID** — shown at the top of the app's settings page. Save this as `GITHUB_APP_ID`.
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2. **Private key** — scroll down to **Private keys** → click **Generate a private key**. A `.pem` file will download. Save its contents as `GITHUB_APP_PRIVATE_KEY`.
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### 3d. Install the app on your repositories
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1. From your app's settings page, click **Install App** in the sidebar
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2. Select your org or personal account
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3. Choose which repositories Open SWE should have access to
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4. Click **Install**
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5. After installation, look at the URL in your browser — it will look like:
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```
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https://github.com/settings/installations/12345678
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```
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or for an org:
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```
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https://github.com/organizations/YOUR-ORG/settings/installations/12345678
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```
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The number at the end (`12345678`) is your **Installation ID**. Save this as `GITHUB_APP_INSTALLATION_ID`.
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> **Note**: The installation page may prompt you to authenticate with LangSmith. If you haven't set up LangSmith yet (step 4), that's fine — you can still grab the Installation ID from the URL and complete the OAuth setup later.
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## 4. Set up LangSmith
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Open SWE uses [LangSmith](https://smith.langchain.com/) for:
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- **Tracing**: all agent runs are logged for debugging and observability
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- **Sandboxes**: each task runs in an isolated LangSmith cloud sandbox
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### 4a. Get your API key, project and tenant IDs
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1. Create a [LangSmith account](https://smith.langchain.com/) if you don't have one
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2. Go to **Settings → API Keys → Create API Key**
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3. Save it as `LANGSMITH_API_KEY_PROD`
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4. Get your **Tenant ID**: Visit LangSmith, login, then copy the UUID in the URL. Example: if your URL is `https://smith.langchain.com/o/72184268-01ea-4d29-98cc-6cfcf0f2abb0/agents/chat` -> the tenant ID would be `72184268-01ea-4d29-98cc-6cfcf0f2abb0`. Save it as `LANGSMITH_TENANT_ID_PROD`.
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5. Get your **Project ID**: open your tracing project in LangSmith, then click on the **ID** button in the top left, directly next to the project name. Save it as `LANGSMITH_TRACING_PROJECT_ID_PROD`
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### 4b. Configure GitHub OAuth (optional but recommended)
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This lets each user authenticate with their own GitHub account. Without it, all operations use the GitHub App's installation token (a shared bot identity).
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**What this affects:**
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- **With per-user OAuth**: PRs and commits show the triggering user's identity; each user's GitHub permissions are respected
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- **Without it (bot-token-only mode)**: all PRs and commits appear as the GitHub App bot; the app's installation-level permissions are used for everything
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To set up per-user OAuth:
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1. In LangSmith, go to **Settings → OAuth Providers → Add Provider**
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2. Set the **Provider ID** to the same string you chose in step 3a (e.g. `your-org-github-oauth`)
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3. Enter the **Client ID** and **Client Secret** from your GitHub App (found on the GitHub App settings page under **OAuth credentials**)
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4. Enter the **Authorization URL** as `https://github.com/login/oauth/authorize` and the **Token URL** as `https://github.com/login/oauth/access_token`.
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5. Leave "Enable PKCE" unchecked.
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6. Save. You'll reference this Provider ID as `GITHUB_OAUTH_PROVIDER_ID` in your environment variables.
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### 4c. Sandbox snapshots
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LangSmith sandboxes provide the isolated execution environment for each agent run. Open SWE boots each sandbox from a pre-built **snapshot** — you build the snapshot once (from a Docker image) and then reference it by UUID.
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(Optional) Build and Push a custom Docker Image to Docker hub
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First build and push the sandbox Docker image to a registry LangSmith can pull from. On Apple Silicon, force `linux/amd64`
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```bash
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docker buildx build \
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--platform linux/amd64 \
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-t <your-docker-hub>/<name-of-your-image> \
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--push .
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```
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For a multi-arch tag that also runs locally on Apple Silicon:
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```bash
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docker buildx build \
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--platform linux/amd64,linux/arm64 \
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-t <your-docker-hub>/<name-of-your-image> \
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--push .
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```
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Then build a snapshot in the LangSmith UI (Sandboxes → Snapshots → New), or via the SDK:
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```python
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from langsmith.sandbox import SandboxClient
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client = SandboxClient(api_key="<your key>")
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snapshot = client.create_snapshot(
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name="open-swe",
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docker_image="johanneslangchain/open-swe-sandbox:gh-cli-amd64", # built from ./Dockerfile
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fs_capacity_bytes=32 * 1024**3,
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)
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print(snapshot.id)
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```
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You can also use the helper script:
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```bash
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uv run python scripts/create_sandbox_snapshot.py \
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--name open-swe-gh-cli-amd64 \
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--image johanneslangchain/open-swe-sandbox:gh-cli-amd64
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```
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Then set the resulting UUID in your environment:
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```bash
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DEFAULT_SANDBOX_SNAPSHOT_ID="<snapshot-uuid>"
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# Optional; overrides the snapshot's root FS size at sandbox boot. Default is 32 GiB.
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DEFAULT_SANDBOX_SNAPSHOT_FS_CAPACITY_BYTES="34359738368"
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# Optional; number of vCPUs per sandbox. Default is 4.
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DEFAULT_SANDBOX_VCPUS="4"
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# Optional; memory in bytes per sandbox. Default is 15 GiB.
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DEFAULT_SANDBOX_MEM_BYTES="16106127360"
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# Optional; auto-stop a sandbox after this many seconds of inactivity. Default is 600 (10 min). 0 disables.
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DEFAULT_SANDBOX_IDLE_TTL_SECONDS="600"
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# Optional; delete a stopped sandbox after this many seconds. Default is 86400 (24 hours). 0 disables.
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DEFAULT_SANDBOX_DELETE_AFTER_STOP_SECONDS="86400"
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```
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`DEFAULT_SANDBOX_SNAPSHOT_ID` is required when `SANDBOX_TYPE=langsmith`. The server validates this at startup and refuses to boot if it's missing. The snapshot should include the GitHub CLI from the project Dockerfile; Open SWE authenticates `git` and `gh` through the LangSmith sandbox proxy using runtime-minted GitHub App installation tokens, not deployment-stored GitHub access tokens.
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## 5. Set up triggers
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Open SWE can be triggered from GitHub, Linear, and/or Slack. **Configure whichever surfaces your team uses — you don't need all of them.**
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### GitHub
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GitHub triggering works automatically once your GitHub App is set up (step 3). Users can:
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- Tag `@openswe` in issue titles or bodies to start a task
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- Tag `@openswe` in issue comments for follow-up instructions
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- Tag `@openswe` in PR review comments to have it address review feedback
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To control which GitHub users can trigger the agent, add them to the `GITHUB_USER_EMAIL_MAP` in `agent/utils/github_user_email_map.py`:
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```python
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GITHUB_USER_EMAIL_MAP = {
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"their-github-username": "their-email@example.com",
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}
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```
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You should also configure which GitHub organizations and/or repositories the agent is allowed to operate on. You can specify allowed orgs, specific `owner/repo` pairs, or both:
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```bash
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# Allow all repos in these orgs
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ALLOWED_GITHUB_ORGS="langchain-ai,anthropics"
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# Allow specific repos (owner/repo format)
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ALLOWED_GITHUB_REPOS="some-user/their-repo,another-org/specific-repo"
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```
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A GitHub or Linear webhook is accepted if the resolved repo's org is in `ALLOWED_GITHUB_ORGS` **or** the `owner/repo` is in `ALLOWED_GITHUB_REPOS`. If both are empty, all repos are allowed. Slack mentions are not rejected from regex-inferred repository text; repository access is bounded by the GitHub App installation permissions.
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### Linear (optional)
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Open SWE listens for Linear comments that mention `@openswe`.
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**Create a webhook:**
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1. In Linear, go to **Settings → API → Webhooks → New webhook**
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2. Fill in:
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- **Label**: `open-swe`
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- **URL**: `https://<your-ngrok-url>/webhooks/linear` — use the ngrok URL from step 2
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- **Secret**: generate with `openssl rand -hex 32` — save this as `LINEAR_WEBHOOK_SECRET`
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3. Under **Data change events**, enable **Comments → Create** only
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4. Click **Create webhook**
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**Get your API key:**
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1. Go to **Settings → API → Personal API keys → New API key**
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2. Name it `open-swe`, select **All access**, and copy the key
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3. Save it as `LINEAR_API_KEY`
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**Configure team-to-repo mapping:**
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Open SWE routes Linear issues to GitHub repos based on the Linear team and project. Edit the mapping in `agent/utils/linear_team_repo_map.py`:
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```python
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LINEAR_TEAM_TO_REPO = {
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"My Team": {"owner": "my-org", "name": "my-repo"},
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"Engineering": {
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"projects": {
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"backend": {"owner": "my-org", "name": "backend"},
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"frontend": {"owner": "my-org", "name": "frontend"},
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},
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"default": {"owner": "my-org", "name": "monorepo"},
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},
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}
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```
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Users can also override the team/project mapping per-comment by including `repo:owner/name` (or a GitHub URL) in their `@openswe` comment. The mapping is used as a fallback when no repo is specified in the comment text.
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### Slack (optional)
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**Create a Slack App:**
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1. Go to [api.slack.com/apps](https://api.slack.com/apps) → **Create New App** → **From a manifest**
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2. Copy the manifest below, replacing the two placeholder URLs:
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- Replace `<your-provider-id>` with the OAuth provider ID from step 3a
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- Replace `<your-ngrok-url>` with the ngrok URL from step 2
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<details>
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<summary>Slack App Manifest</summary>
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```json
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{
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"display_information": {
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"name": "Open SWE",
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"description": "Enables Open SWE to interact with your workspace",
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"background_color": "#000000"
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},
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"features": {
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"app_home": {
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"home_tab_enabled": false,
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"messages_tab_enabled": true,
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"messages_tab_read_only_enabled": false
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},
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"bot_user": {
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"display_name": "Open SWE",
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"always_online": true
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}
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},
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"oauth_config": {
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"redirect_urls": [
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"https://smith.langchain.com/host-oauth-callback/<your-provider-id>"
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],
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"scopes": {
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"bot": [
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"reactions:write",
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"app_mentions:read",
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"channels:history",
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"channels:read",
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"chat:write",
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"groups:history",
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"groups:read",
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"im:history",
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"im:read",
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"im:write",
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"mpim:history",
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"mpim:read",
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"team:read",
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"users:read",
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"users:read.email"
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]
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}
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},
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"settings": {
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"event_subscriptions": {
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"request_url": "https://<your-ngrok-url>/webhooks/slack",
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"bot_events": [
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"app_mention",
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"message.im",
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"message.mpim"
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]
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},
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"org_deploy_enabled": false,
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"socket_mode_enabled": false,
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"token_rotation_enabled": false
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}
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}
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```
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</details>
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3. Install the app to your workspace and copy the **Bot User OAuth Token** (`xoxb-...`)
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**Credentials you'll need:**
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- `SLACK_BOT_TOKEN`: the Bot User OAuth Token (`xoxb-...`)
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- `SLACK_SIGNING_SECRET`: found under **Basic Information → App Credentials**
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- `SLACK_BOT_USER_ID`: the bot's user ID (find it in Slack by clicking the bot's profile)
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- `SLACK_BOT_USERNAME`: the bot's display name (e.g. `open-swe`)
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**Default repo:**
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Slack messages are routed to the default repo (`DEFAULT_REPO_OWNER`/`DEFAULT_REPO_NAME` — see step 6) unless the user specifies one with `repo:owner/name` in their message.
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## 6. Environment variables
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Create a `.env` file in the project root. Below is the full list — only fill in the sections relevant to the triggers you configured.
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```bash
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# === LangSmith ===
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LANGSMITH_API_KEY_PROD="" # From step 4a
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LANGCHAIN_TRACING_V2="true"
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LANGCHAIN_PROJECT="" # LangSmith project name for traces
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LANGSMITH_TENANT_ID_PROD=""
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LANGSMITH_TRACING_PROJECT_ID_PROD=""
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LANGSMITH_URL_PROD="https://smith.langchain.com"
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# === LLM ===
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ANTHROPIC_API_KEY="" # Anthropic API key
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OPENAI_API_KEY="" # OpenAI API key (when using openai: models)
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GOOGLE_API_KEY="" # Google AI API key (when using google_genai: models)
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# === GitHub App (required) ===
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GITHUB_APP_ID="" # From step 3c
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GITHUB_APP_PRIVATE_KEY="-----BEGIN RSA PRIVATE KEY-----
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...
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-----END RSA PRIVATE KEY-----
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"
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GITHUB_APP_INSTALLATION_ID="" # From step 3d
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# === GitHub Webhook (required) ===
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GITHUB_WEBHOOK_SECRET="" # The secret you generated in step 3b
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# === GitHub OAuth via LangSmith (optional) ===
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# Without these, all operations use the GitHub App's bot token.
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# With these, each user authenticates with their own GitHub account.
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GITHUB_OAUTH_PROVIDER_ID="" # The provider ID from steps 3a / 4b
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# === Repo Allowlist (optional) ===
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# Comma-separated list of GitHub orgs the agent is allowed to operate on.
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# Leave empty to allow all orgs.
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ALLOWED_GITHUB_ORGS="" # e.g. "my-org,my-other-org"
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# Comma-separated list of specific owner/repo pairs the agent is allowed to operate on.
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# For GitHub/Linear webhooks, a repo is allowed if its org is in ALLOWED_GITHUB_ORGS OR its owner/repo is in ALLOWED_GITHUB_REPOS.
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# Slack mentions are not rejected from regex-inferred repository text; repository access is bounded by GitHub App installation permissions.
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# Leave both empty to allow all repos.
|
||
ALLOWED_GITHUB_REPOS="" # e.g. "some-user/their-repo,another-org/specific-repo"
|
||
|
||
# === Default Repository ===
|
||
# Used across all triggers when no repo is specified.
|
||
DEFAULT_REPO_OWNER="" # Default GitHub org (e.g. "my-org")
|
||
DEFAULT_REPO_NAME="" # Default GitHub repo (e.g. "my-repo")
|
||
|
||
# === Linear (if using Linear trigger) ===
|
||
LINEAR_API_KEY="" # From step 5
|
||
LINEAR_WEBHOOK_SECRET="" # From step 5
|
||
|
||
# === Slack (if using Slack trigger) ===
|
||
SLACK_BOT_TOKEN="" # From step 5
|
||
SLACK_BOT_USER_ID=""
|
||
SLACK_BOT_USERNAME=""
|
||
SLACK_SIGNING_SECRET=""
|
||
|
||
# === Exa (optional — enables web search tool) ===
|
||
EXA_API_KEY="" # From https://dashboard.exa.ai
|
||
|
||
# === Sandbox (optional) ===
|
||
DEFAULT_SANDBOX_SNAPSHOT_ID="" # Required when SANDBOX_TYPE=langsmith (see step 4c)
|
||
DEFAULT_SANDBOX_SNAPSHOT_FS_CAPACITY_BYTES="" # Root FS size in bytes (default: 32 GiB)
|
||
DEFAULT_SANDBOX_VCPUS="" # vCPUs per sandbox (default: 4)
|
||
DEFAULT_SANDBOX_MEM_BYTES="" # Memory in bytes per sandbox (default: 15 GiB)
|
||
DEFAULT_SANDBOX_IDLE_TTL_SECONDS="" # Auto-stop after N seconds idle (default: 600; 0 disables)
|
||
DEFAULT_SANDBOX_DELETE_AFTER_STOP_SECONDS="" # Delete N seconds after stop (default: 86400; 0 disables)
|
||
|
||
# === Token Encryption ===
|
||
TOKEN_ENCRYPTION_KEY="" # Generate with: openssl rand -base64 32
|
||
# Supports key rotation: see "Rotating TOKEN_ENCRYPTION_KEY" below
|
||
```
|
||
|
||
### Rotating TOKEN_ENCRYPTION_KEY
|
||
|
||
`TOKEN_ENCRYPTION_KEY` accepts either a single Fernet key or a comma- or
|
||
newline-separated **ordered list of keys, most-recent-first**. New writes always
|
||
encrypt under the first key; reads try every key in order. To rotate without
|
||
invalidating already-stored GitHub tokens:
|
||
|
||
1. Generate a new key: `openssl rand -base64 32`.
|
||
2. Prepend it to `TOKEN_ENCRYPTION_KEY`, keeping the old key second:
|
||
```
|
||
TOKEN_ENCRYPTION_KEY="<new_key>,<old_key>"
|
||
```
|
||
Restart the server. New encryptions use `<new_key>`; existing ciphertexts
|
||
still decrypt against `<old_key>`.
|
||
3. Let active threads cycle (each fresh OAuth flow re-encrypts under the new
|
||
key). After every active thread has re-authed, drop the old key:
|
||
```
|
||
TOKEN_ENCRYPTION_KEY="<new_key>"
|
||
```
|
||
Any thread still holding ciphertext under `<old_key>` will fail to decrypt
|
||
and the user will be re-prompted to authenticate — same UX as if the thread
|
||
had never authed.
|
||
|
||
## 7. Start the server
|
||
|
||
Make sure ngrok is still running from step 2, then start the LangGraph server in a second terminal:
|
||
|
||
```bash
|
||
uv run langgraph dev --no-browser
|
||
```
|
||
|
||
The server runs on `http://localhost:2024` with these endpoints:
|
||
|
||
| Endpoint | Purpose |
|
||
|---|---|
|
||
| `POST /webhooks/github` | GitHub issue/PR/comment webhooks |
|
||
| `POST /webhooks/linear` | Linear comment webhooks |
|
||
| `GET /webhooks/linear` | Linear webhook verification |
|
||
| `POST /webhooks/slack` | Slack event webhooks |
|
||
| `GET /webhooks/slack` | Slack webhook verification |
|
||
| `GET /health` | Health check |
|
||
|
||
## 8. Verify it works
|
||
|
||
### GitHub
|
||
|
||
1. Go to any issue in a repository where the app is installed
|
||
2. Create or comment on an issue with: `@openswe what files are in this repo?`
|
||
3. You should see:
|
||
- A 👀 reaction on your comment within a few seconds
|
||
- A new run in your LangSmith project
|
||
- The agent replies with a comment on the issue
|
||
|
||
### Linear
|
||
|
||
1. Go to any Linear issue in a team you configured in `LINEAR_TEAM_TO_REPO`
|
||
2. Add a comment: `@openswe what files are in this repo?`
|
||
3. You should see:
|
||
- A 👀 reaction on your comment within a few seconds
|
||
- A new run in your LangSmith project
|
||
- The agent replies with a comment on the issue
|
||
|
||
### Slack
|
||
|
||
1. In any channel where the bot is invited, start a thread
|
||
2. Mention the bot: `@open-swe what's in the repo?`
|
||
3. You should see a reply in the thread with the agent's response.
|
||
|
||
## 9. Production deployment
|
||
|
||
For production, deploy the agent on [LangGraph Cloud](https://langchain-ai.github.io/langgraph/cloud/) instead of running locally:
|
||
|
||
1. Push your code to a GitHub repository
|
||
2. Connect the repo to LangGraph Cloud
|
||
3. Set all environment variables from step 6 in the deployment config
|
||
4. Update your webhook URLs (Linear, Slack, GitHub App) to point to your production URL (replace the ngrok URL)
|
||
|
||
The `langgraph.json` at the project root already defines the graph entry point and HTTP app:
|
||
|
||
```json
|
||
{
|
||
"graphs": {
|
||
"agent": "agent.server:get_agent"
|
||
},
|
||
"http": {
|
||
"app": "agent.webapp:app"
|
||
}
|
||
}
|
||
```
|
||
|
||
## Troubleshooting
|
||
|
||
### Webhook not receiving events
|
||
|
||
- Verify ngrok is running and the URL matches what's configured in GitHub/Linear/Slack
|
||
- Check the ngrok web inspector at `http://localhost:4040` for incoming requests
|
||
- Ensure you enabled the correct event types (Comments → Create for Linear, `app_mention` for Slack, Issues + Issue comment for GitHub)
|
||
- **Webhook secrets are required** — if `GITHUB_WEBHOOK_SECRET`, `LINEAR_WEBHOOK_SECRET`, or `SLACK_SIGNING_SECRET` is not set, all requests to that endpoint will be rejected with 401
|
||
|
||
### GitHub authentication errors
|
||
|
||
- Verify `GITHUB_APP_ID`, `GITHUB_APP_PRIVATE_KEY`, and `GITHUB_APP_INSTALLATION_ID` are set correctly
|
||
- Ensure the GitHub App is installed on the target repositories
|
||
- Check that the private key includes the full `-----BEGIN RSA PRIVATE KEY-----` and `-----END RSA PRIVATE KEY-----` lines
|
||
|
||
### Sandbox creation failures
|
||
|
||
- Verify `LANGSMITH_API_KEY_PROD` is set and valid
|
||
- Check LangSmith sandbox quotas in your workspace settings
|
||
- If the server refuses to start with `DEFAULT_SANDBOX_SNAPSHOT_ID must be set`, build a snapshot (see step 4c) and export its UUID
|
||
- If you see `Failed to create sandbox from snapshot '<id>'`, confirm the snapshot exists in your workspace and has status `ready`
|
||
- If you get a 403 Forbidden error on the sandbox endpoints, your LangSmith workspace may not have sandbox access enabled — contact LangSmith support
|
||
|
||
### Agent not responding to comments
|
||
|
||
- For GitHub: ensure the comment or issue contains `@openswe` (case-insensitive), and the commenter's GitHub username is in `GITHUB_USER_EMAIL_MAP`
|
||
- For Linear: ensure the comment contains `@openswe` (case-insensitive)
|
||
- For Slack: ensure the bot is invited to the channel and the message is an `@mention`
|
||
- Check server logs for webhook processing errors
|
||
|
||
### Token encryption errors
|
||
|
||
- Ensure `TOKEN_ENCRYPTION_KEY` is set (generate with `openssl rand -base64 32`)
|
||
- The key must be a valid 32-byte Fernet-compatible base64 string
|
||
- For key rotation, `TOKEN_ENCRYPTION_KEY` may be a comma- or newline-separated
|
||
list of keys (most-recent-first). See "Rotating TOKEN_ENCRYPTION_KEY" above.
|