Calling get_github_token() without arguments always invoked LangGraph get_config internally,
which broke tests that only patch agent.middleware.open_pr.get_config and failed outside
runnable context.
Extend get_github_token with an optional runnable config mapping; the middleware passes
the config dict already resolved from get_config(). Request GitHub App installation tokens
only after detecting sandbox/repo changes worth publishing.
Fixes failing Agent unit tests in tests/test_open_pr_middleware.py.
* fix: safety net middleware always skipped due to key-existence check
The open_pr_if_needed after-agent middleware checked `if 'success' in pr_payload`
which evaluates True for BOTH success and failure responses from commit_and_open_pr
(all responses include the 'success' key). This meant the safety net never fired.
Fix: use `pr_payload.get('success')` to check the VALUE instead of key existence.
Evidence: 6+ production traces in last 24h where commit_and_open_pr returned
success=False but the safety net silently skipped (non-fast-forward push failures,
missing GitHub token, workflow permission errors, API 500 errors).
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* update
---------
Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-authored-by: Palash Shah <palash@langchain.dev>
* feat: add get_pr_review_comments tool for authenticated GitHub API access
The agent was asking users to paste PR review comments because it had no
tool to fetch them with auth. This adds get_pr_review_comments, which uses
the GitHub App installation token to fetch all three comment types (thread
comments, inline review comments, review submissions) from private repos.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* u
* u
---------
Co-authored-by: Forge Agent <agent@forge.ai>
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-authored-by: Palash Shah <palash@langchain.dev>
Co-authored-by: Palash Shah <35114859+Palashio@users.noreply.github.com>
Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
Previous defaults (4 vCPU / 15 GiB) exceed the maximum sandbox size
the LangSmith API accepts, causing a 400 on every sandbox creation:
sandbox size 4 vCPU / 15360 MiB exceeds the maximum supported size;
must fit within one of: small (1 vCPU / 1792 MiB),
medium (1 vCPU / 3840 MiB), or large (2 vCPU / 7936 MiB)
Default to the "large" cap (2 vCPU / 7936 MiB) so deployments without
DEFAULT_SANDBOX_VCPUS / DEFAULT_SANDBOX_MEM_BYTES env overrides boot
into a working state.
Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
* feat: open PRs under user's name and add OpenSWE label
* feat: use user token for PR authorship, add OpenSWE label, and consolidate fallback logic
* linting
* fix: address review nits for PR authorship and labeling
Fix docstring casing, add debug logging for 422 existing-PR search
fallback, tighten test type annotations, and add missing HTTPError
fallback test.
---------
Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
* feat: default to GPT-5.5 medium reasoning
Use OpenAI GPT-5.5 with medium reasoning as the default model and document the completion-token budget semantics for reasoning models.
* fix: use Responses API reasoning config
Pass GPT-5.5 reasoning settings through LangChain's Responses API parameter instead of the Chat Completions-only reasoning_effort field.
* feat: raise GPT-5.5 output budget
Set the default GPT-5.5 output token budget to the model maximum so long-running coding tasks have more room for reasoning and final responses.
* feat: align recursion limit with Deep Agents
Use Deep Agents' default recursion limit so longer coding runs have room to complete without Open SWE imposing a lower cap.
* chore: remove minimal effort level
* chore: reduce max tokens to 64_000
---------
Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
* feat: migrate LangSmith sandbox creation to snapshot API
Replaces the template-based sandbox flow (DEFAULT_SANDBOX_TEMPLATE_NAME /
DEFAULT_SANDBOX_TEMPLATE_IMAGE) with the new snapshot-based flow.
- New required env var DEFAULT_SANDBOX_SNAPSHOT_ID (UUID of a pre-built
LangSmith snapshot; build out-of-band via UI or SandboxClient.create_snapshot)
- Optional DEFAULT_SANDBOX_SNAPSHOT_FS_CAPACITY_BYTES overrides the root FS
size at boot (default 32 GiB)
- Startup-time validation via a FastAPI lifespan hook: the server refuses
to boot with a clear ValueError if SANDBOX_TYPE=langsmith and
DEFAULT_SANDBOX_SNAPSHOT_ID is unset, so failures surface in boot logs
rather than on the first thread
- Reconnect-to-existing-sandbox path unchanged
- Docs (INSTALLATION.md, CUSTOMIZATION.md) updated to describe the new
snapshot workflow
* fix: format create_sandbox_snapshot.py to pass ruff
---------
Co-authored-by: aran-yogesh <yogesh.mahendran@langchain.dev>
* fix: add retry with delay for sandbox proxy config to avoid 500 when proxy isn't ready
* fix: add retry with exponential backoff and connection error handling for proxy config
* fix: use GitHub App installation token for PR creation instead of user token
* fix: move installation token fetch after no-changes check to avoid unnecessary API call
* fix: add Exa web search tool
* chore: update uv.lock for exa-py dependency
* linting
* chore: remove web_search from system prompt
* chore: drop search_type and category params from web_search
The agent sees users formatted as @Name(USER_ID) in conversation context and
reproduces that pattern in replies, but Slack requires <@USER_ID> for real
mentions. This adds automatic conversion and updates prompt instructions.
Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
* Add GitHub PR review tools (list, get, create, update, dismiss, submit, list comments) and bind them to the agent
* format n lint
---------
Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
Co-authored-by: Aran Yogesh <yogesh.mahendran@langchain.dev>
Adds 6 new agent tools backed by Linear's GraphQL API, with a shared
_graphql_request helper to reduce boilerplate. Refactors existing
comment_on_linear_issue to use the same helper.
Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
* feat: extract repo parsing into shared util and add linear comment repo override
Moves the repo extraction regex logic (repo:, repo , GitHub URL) into
agent/utils/repo.py so it can be reused. Updates the Linear webhook
handler to check the comment body for a custom repo first, falling back
to the team/project mapping when none is specified.
* chore: document repo extraction util and default org configuration
* feat: add generic DEFAULT_REPO_OWNER/DEFAULT_REPO_NAME env vars replacing Slack-only defaults
* chore: remove deprecated SLACK_REPO_OWNER/NAME env vars from docs
---------
Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
* feat: default org to langchain-ai when repo: is used without org prefix
* chore: use SLACK_REPO_OWNER for repo shorthand default org and document in CUSTOMIZATION.md
---------
Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
* feat: send LangSmith trace URL on run trigger from Slack and Linear
* fix: check LANGSMITH_PROJECT before LANGSMITH_PROJECT_PROD for project name lookup
* fix: pass LangSmith API key explicitly to Client and remove global variable
* Update agent/utils/langsmith.py
Co-authored-by: Brace Sproul <braceasproul@gmail.com>
* refactor: move trace notification helpers out of webapp and use env vars for LangSmith URL base
* docs: add LangSmith tenant and project ID env vars to installation guide
* fix: remove unused comment_on_linear_issue import from webapp
* nit: remove lru_cache, make get_langsmith_trace_url sync, and move langsmith import to top level
* Update INSTALLATION.md
Co-authored-by: Brace Sproul <braceasproul@gmail.com>
* Update INSTALLATION.md
Co-authored-by: Brace Sproul <braceasproul@gmail.com>
* Update INSTALLATION.md
Co-authored-by: Brace Sproul <braceasproul@gmail.com>
---------
Co-authored-by: Brace Sproul <braceasproul@gmail.com>
Reads LANGCHAIN_REVISION_ID env var (set by LSD from LANGSMITH_LANGGRAPH_GIT_REF_SHA)
and injects it as LANGSMITH_AGENT_VERSION metadata on every runs.create() call.
This enables the agent_deployments sync job to track which agent version produced each trace.
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
`get_slack_repo_config` previously only matched `repo:owner/name` (colon).
Messages using `repo owner/name` (space) or containing a GitHub URL like
`https://github.com/langchain-ai/langgraph-api` fell back to the default
repo. This extends the detection with both patterns — additive, no existing
behavior changed.
Co-authored-by: Forge Agent <forge-agent@anthropic.com>
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
* fix: skip no_op injection when PR is committed and user is notified
- Root cause: ensure_no_empty_msg Branch 1 (empty AI message) lacked the
same completion checks as Branch 2 (text-only AI message), causing a
spurious no_op injection after commit_and_open_pr + user notification
- Change: add check_if_model_already_called_commit_and_open_pr AND
check_if_model_messaged_user guard to Branch 1 of ensure_no_empty_msg
- Verified: 7/100 production traces no longer get an extra LLM call
* updated
* pass tests
---------
Co-authored-by: Auto Fix Bot <auto-fix@langchain.ai>
Co-authored-by: Palash Shah <palash@langchain.dev>
Co-authored-by: Palash Shah <35114859+Palashio@users.noreply.github.com>
