Update dependency langchain-openai to v1 - autoclosed#2731
Update dependency langchain-openai to v1 - autoclosed#2731renovate[bot] wants to merge 1 commit into
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OpenAPI ChangesNo changes detected Unexpected changes? Ensure your branch is up-to-date with |
| "langchain>=0.3.11,<0.4", | ||
| "langchain-experimental>=0.3.4,<0.4", | ||
| "langchain-openai>=0.3.2,<0.4", | ||
| "langchain-openai>=1.1.10,<1.2", |
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Bug: Upgrading langchain-openai to v1.x without upgrading other langchain packages will cause runtime failures due to incompatible API changes for structured output.
Severity: CRITICAL
Suggested Fix
To resolve the incompatibility, all related langchain packages should be upgraded together to compatible versions. This includes updating langchain and langchain-litellm. Alternatively, revert the langchain-openai upgrade to a 0.x version that is compatible with the existing langchain v0.3.x dependency.
Prompt for AI Agent
Review the code at the location below. A potential bug has been identified by an AI
agent.
Verify if this is a real issue. If it is, propose a fix; if not, explain why it's not
valid.
Location: pyproject.toml#L58
Potential issue: The `pyproject.toml` file updates `langchain-openai` to v1.x, which
contains breaking API changes, particularly for structured output. However, other
related dependencies like `langchain` (v0.3.x) and `langchain-litellm` are not updated
to compatible versions. This version mismatch will cause a runtime failure when the
flashcard generation feature calls `llm.with_structured_output()`. This will cause the
feature to crash for users, and existing tests will not catch this issue as they mock
the relevant calls.
| "langchain>=0.3.11,<0.4", | ||
| "langchain-experimental>=0.3.4,<0.4", | ||
| "langchain-openai>=0.3.2,<0.4", | ||
| "langchain-openai>=1.1.10,<1.2", |
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Bug: The uv.lock file is out of sync with the updated langchain-openai dependency in pyproject.toml, which will cause the CI build to fail.
Severity: MEDIUM
Suggested Fix
Regenerate the uv.lock file to reflect the changes in pyproject.toml. This can be done by running the uv lock command and committing the updated lock file.
Prompt for AI Agent
Review the code at the location below. A potential bug has been identified by an AI
agent.
Verify if this is a real issue. If it is, propose a fix; if not, explain why it's not
valid.
Location: pyproject.toml#L58
Potential issue: The `langchain-openai` dependency was updated in `pyproject.toml` to
version `1.1.10`, but the `uv.lock` file was not regenerated. The lock file still
specifies the old version `0.3.35` and constraint `specifier = ">=0.3.2,<0.4"`. Because
the CI pipeline uses `uv sync --locked`, it will detect this inconsistency between
`pyproject.toml` and `uv.lock`, causing the build to fail. This prevents the merge of a
stale lock file, which could otherwise lead to different dependency versions being used
across development and production environments.
| "langchain>=0.3.11,<0.4", | ||
| "langchain-experimental>=0.3.4,<0.4", | ||
| "langchain-openai>=0.3.2,<0.4", | ||
| "langchain-openai>=1.1.10,<1.2", |
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Bug: The uv.lock file is stale and was not regenerated after updating langchain-openai in pyproject.toml. Deployments will silently install the old dependency version.
Severity: CRITICAL
Suggested Fix
Regenerate the uv.lock file by running uv lock. This will update the pinned versions to match the specifications in pyproject.toml. You may also need to update the langchain dependency to a version compatible with langchain-openai >=1.1.10 to resolve the incompatibility.
Prompt for AI Agent
Review the code at the location below. A potential bug has been identified by an AI
agent.
Verify if this is a real issue. If it is, propose a fix; if not, explain why it's not
valid.
Location: pyproject.toml#L58
Potential issue: The `pyproject.toml` file was updated to require `langchain-openai`
version `>=1.1.10`, but the `uv.lock` file was not regenerated. The lock file still
specifies version `0.3.35`. Because the production build uses `uv sync --frozen`, it
will install the old version from the lock file, not the intended new version. This
means the deployed application will silently run with an outdated dependency.
Furthermore, the new `langchain-openai` version is incompatible with the project's
`langchain` constraint, which will cause dependency resolution to fail the next time `uv
lock` is run.
This PR contains the following updates:
>=0.3.2,<0.4→>=1.1.12,<1.2Configuration
📅 Schedule: (in timezone US/Eastern)
🚦 Automerge: Disabled by config. Please merge this manually once you are satisfied.
♻ Rebasing: Whenever PR is behind base branch, or you tick the rebase/retry checkbox.
🔕 Ignore: Close this PR and you won't be reminded about this update again.
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