Replace independent auto-incrementing chart versioning with 1-1 sync
to LiteLLM version. This allows users to easily map Helm chart versions
to LiteLLM versions without needing to inspect appVersion.
Changes:
- Remove auto-increment logic that read from OCI registry
- Chart version now equals LiteLLM tag without 'v' prefix (v1.81.0 -> 1.81.0)
- appVersion equals full Docker tag (v1.81.0)
- Update both ghcr_deploy.yml and ghcr_helm_deploy.yml workflows
Before: helm chart 0.1.837 -> user has to guess LiteLLM version
After: helm chart 1.81.0 -> matches LiteLLM v1.81.0
References:
- https://codefresh.io/docs/docs/ci-cd-guides/helm-best-practices/
* fix: sync Helm chart versioning with production standards and Docker versions
- Update Chart.yaml version from 0.4.10 to 1.0.0 (SemVer 0.x is for development, 1.0+ for production)
- Update appVersion from v1.50.2 to v1.80.12 to match current Docker image version
- Update workflow defaults from 0.1.0 to 1.0.0 for new chart version scheme
- Maintain independent chart versioning per Helm best practices
This ensures:
- Helm chart follows SemVer production standards (1.x instead of 0.x)
- appVersion stays synchronized with Docker/application version
- Chart version remains independent for flexibility (can update chart without waiting for app releases)
* fix: sync Helm chart appVersion with Docker image tags in release workflow
Updates the GitHub workflow to ensure Helm chart appVersion matches the
Docker image tags that are actually published:
- For stable/rc releases: Uses the workflow input tag (e.g., v1.80.12)
- For latest/dev releases: Uses the release_type to match main-{type} tags
- Makes 'tag' input required to prevent accidental releases with wrong versions
- Simplifies fallback logic by removing git-describe dependency
This ensures the chart's appVersion correctly references Docker images
that exist, preventing deployment failures from missing image tags.
* Update ghcr_deploy.yml
- Add repository check to only run workflow in BerriAI/litellm
- Prevents workflow failures and wasted resources in forked repositories
- Avoids confusion for external contributors
* fix: align max_tokens with max_output_tokens for consistency
Fixed inconsistent max_tokens definitions in model_prices_and_context_window.json.
According to LiteLLM convention, max_tokens should equal max_output_tokens when available.
Models fixed:
- deepseek-chat: 131072 → 8192 (now equals max_output_tokens)
- dashscope/qwen-flash: 1000000 → 32768 (now equals max_output_tokens)
- databricks/databricks-gemma-3-12b: 128000 → 32000 (now equals max_output_tokens)
This ensures consistency across all providers where max_tokens represents
the maximum number of tokens that can be generated in the output.
* fix(workflow): Update issue labeling with working regex pattern
- Replace contains() with regex pattern using \s* for flexible whitespace matching
- Consolidate 4 separate steps into single unified component labeling step
- Tested and verified pattern works for all components: SDK, Proxy, UI Dashboard, Docs
- Pattern handles GitHub's issue body formatting with ### headers and variable newlines
* Fix component label automation to prevent false positives
The GitHub Actions workflow was applying component labels (SDK, Proxy, UI Dashboard, Docs) too broadly by only checking if the component name appeared anywhere in the issue body. This caused issues to be mislabeled when users mentioned these terms in their descriptions.
Changes:
- Add more specific condition that checks for both the dropdown field header "What part of LiteLLM is this about?" AND the component name
- Applied to all 4 component labels: SDK, Proxy, UI Dashboard, and Docs
- Labels will now only be applied when users actually select the option from the dropdown
Fixes issues being incorrectly labeled with 'docs' and other component labels.
* Use more specific pattern to match dropdown selection exactly
Updated the label conditions to use a more precise pattern that matches
the dropdown header immediately followed by the selected value. This
prevents false positives when users mention component names in their
descriptions but select a different component.
Before: Checked for header AND component name anywhere in body
After: Checks for exact pattern "header\n\ncomponent"
This ensures labels are only applied when the component is actually
selected from the dropdown, not just mentioned in the issue text.
* Fix component label automation and require explicit user selection
This PR fixes two issues with component labeling:
1. **Improved label accuracy**: Updated the workflow to use exact pattern
matching ("### What part of LiteLLM is this about?\n\nDocs") instead of
broad substring matching. This prevents false positives where issues were
mislabeled when users mentioned component names in their descriptions.
2. **Require explicit component selection**: Added empty string ('') as the
first dropdown option to prevent GitHub from auto-selecting "SDK" as the
default. Users must now consciously select which component their issue
relates to.
Changes:
- Updated all component label conditions in label-component.yml workflow
- Added empty string as first option in bug_report.yml dropdown
- Added empty string as first option in feature_request.yml dropdown
- Labels only apply when users actually select a component from the dropdown
This ensures accurate labeling and prevents the default SDK label from
being applied to all new issues.
- Replace "ML Ops Team" dropdown with "What part of LiteLLM is this about?"
with options: SDK, Proxy, UI Dashboard, Docs, Other
- Add component dropdown to feature_request.yml template
- Rename label-mlops.yml to label-component.yml and update to auto-label
issues with sdk, proxy, ui-dashboard, or docs based on selection
- Add more provider keywords to issue-keyword-labeler: gemini, cohere,
mistral, groq, ollama, deepseek
Helm chart versions now include a prerelease suffix based on release_type:
- stable: 0.1.830 (no suffix)
- rc: 0.1.830-rc
- latest: 0.1.830-latest
This allows users to easily identify stable vs non-stable chart versions.
Helm also hides prerelease versions by default, preventing accidental
upgrades to non-stable versions.
Also fixes version extraction to strip existing suffixes before bumping.
* add prompt security guardrails provider
* cosmetic
* small
* add file sanitization and update context window
* add pdf and OOXML files support
* add system prompt support
* add tests and documentation
* remove print
* fix PLR0915 Too many statements (96 > 50)
* cosmetic
* fix mypy error
* Fix failed tests due to naming conflict of responses directory with same-named pip package
* Fix mypy error: use 'aembedding' instead of 'embeddings' for async embedding call type
* Fix: Install enterprise package into Poetry virtualenv for tests
The GitHub Actions workflow was installing litellm-enterprise to system Python
using 'python -m pip install -e .', but tests run in Poetry's virtualenv using
'poetry run pytest'. This caused ImportError for enterprise package types.
Changed to 'poetry run pip install -e .' so the package is available in the
same virtualenv where pytest executes.
Fixes enterprise test collection errors in GitHub Actions CI.
* Move Prompt Security guardrail tests to tests/test_litellm/
Per reviewer feedback, move test_prompt_security_guardrails.py from
tests/guardrails_tests/ to tests/test_litellm/proxy/guardrails/ so
it will be executed by GitHub Actions workflow test-litellm.yml.
This ensures the Prompt Security integration tests run in CI.
---------
Co-authored-by: Ori Tabac <oritabac@prompt.security>
Co-authored-by: Vitaly Neyman <vitaly@prompt.security>
* perf: Skip sleep delays in base_mail.py during tests to improve test speed
* perf: Mock datetime.now in parallel_request_limiter_v3.py to improve test speed
* pref: Mock urllib system calls in test_aiohttp_transport.py to improve test speed
* chore: add --durations=50 to visualize slowest tests
* pref: reduce setup phase overhead by widening fixture scope in conftest.py
* test: stabilize flaky tests
* fix: minor issue
* Add auto issue labelling for llm_translation
* Add logging
* make the formatting better
* make the formatting better
* make the formatting better
* make the formatting better
* fix(main.py): handle router custom azure model name for responses api bridge
* fix(responses/handler): ensure azure model name is stripped before sending to provider
Fixes model name error
* fix(google_genai/main.py): handle stream=true being set in kwargs
* docs: cleanup icons from sidebar
* fix(test-litellm.yml): add google-genai to test litellmyml
* fix(main.py): strip 'responses/' from bridge
* fix(main.py): fix linting errors
* fix(types/openai.py): allow item to be none
handle azure streaming response
* fix(base.py): allow extra fields + handle azure item = none value in response output item added event
* fix(main.py): correctly handle removing responses/
* test(test_main.py): add unit tests
- Move from CircleCI dependency to direct pytest execution
- Add Python script to generate beautiful markdown reports
- Update GitHub workflow to run tests directly
- Update Makefile to use the new test runner script
- Generate both JUnit XML and markdown artifacts
- Group test results by provider with detailed statistics
Sameer Kankute