Add output-side shield moderation for LLM response classification - #2477
Add output-side shield moderation for LLM response classification#2477madaosik wants to merge 5 commits into
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Addresses pentest finding OFFSEC-310 (LCORE-2750, CVSS 8.5 Important): the model can be manipulated into generating creative content (emails, speeches, roleplay) outside its intended scope as a RHEL assistant. Adds output_shields configuration and run_output_shield_moderation() that reuses the existing QuestionValidity capability to classify LLM responses before returning them to the user. Changes: - constants.py: DEFAULT_OUTPUT_MODEL_PROMPT and DEFAULT_OUTPUT_REJECTION_MESSAGE for output classification - config.py: output_shields field on Configuration (same format as input shields), validator ensures unique names across both lists - shields.py: run_output_shield_moderation() — iterates output shields, gracefully handles errors (logs warning, doesn't block response) - rlsapi_v1.py: output moderation after response text extraction, replaces response with rejection message if blocked - responses.py: output moderation for non-streaming (blocks) and streaming (log-only — cannot retroactively block streamed content) 7 unit tests covering: passed, blocked, first-block short-circuit, error resilience (AgentRunError, RuntimeError), text passthrough. RSPEED-3399
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WalkthroughOutput shields now moderate inference results in the Responses API and RLSAPI v1. Configuration, shield execution, rejection constants, endpoint integration, and unit tests were added. ChangesOutput shield moderation
Estimated code review effort: 3 (Moderate) | ~25 minutes Merge Risk: 🟠 High · up to This PR adds post-inference output filtering, but blocked content can still remain accessible through structured non-streaming responses, and default output shields may use the wrong prompts and rejection text. These concrete security and behavior gaps can weaken the intended filter, so the PR is not merge-ready until they are fixed or explicitly accepted. Sequence Diagram(s)sequenceDiagram
participant Client
participant ResponsesAPI
participant run_output_shield_moderation
participant OutputShields
Client->>ResponsesAPI: Submit inference request
ResponsesAPI->>ResponsesAPI: Generate response
ResponsesAPI->>run_output_shield_moderation: Moderate completed output
run_output_shield_moderation->>OutputShields: Run configured shields
OutputShields-->>run_output_shield_moderation: Passed or blocked result
run_output_shield_moderation-->>ResponsesAPI: Return moderation result
ResponsesAPI-->>Client: Return original or replacement output
Possibly related PRs
Suggested reviewers: Important Pre-merge checks failedPlease resolve all errors before merging. Addressing warnings is optional. ❌ Failed checks (2 errors)
✅ Passed checks (5 passed)
✨ Finishing Touches 💡 1🛠️ Fix failing CI checks 💡
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Inline comments:
In `@src/app/endpoints/responses.py`:
- Around line 1126-1134: When output moderation is blocked in the response
handling flow, replace api_response.output with output_moderation.message as
well as updating output_text. Apply this before persistence, telemetry/summary
construction, and response serialization so all public and stored output fields
contain only the moderation refusal.
In `@src/models/config.py`:
- Around line 3345-3346: Update the duplicate-name detection around all_shields
and names to use a single pass with seen and duplicates sets instead of
repeatedly calling names.count(name). Preserve the existing duplicate-name
results and downstream behavior while removing the quadratic scan.
- Around line 3323-3330: Update output_shields to use an output-specific shield
configuration whose question-validity settings default to
DEFAULT_OUTPUT_MODEL_PROMPT and DEFAULT_OUTPUT_REJECTION_MESSAGE, while
preserving explicit per-shield overrides. Use the existing ShieldConfiguration
and QuestionValidityConfig symbols to implement the smallest type or
default-selection change.
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GitHub Actions: E2E Tests for Lightspeed Evaluation / E2E Tests for Lightspeed Evaluation job: Add output-side shield moderation for LLM response classification
Conclusion: failure
lightspeed-stack | ERROR Application startup failed. Exiting. category=server
Still waiting...
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0
0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0
curl: (7) Failed to connect to localhost port 8080 after 0 ms: Couldn't connect to server
lightspeed-stack | File "/app-root/.venv/lib64/python3.12/site-packages/fastapi/routing.py", line 240, in merged_lifespan
lightspeed-stack | async with original_context(app) as maybe_original_state:
lightspeed-stack | ^^^^^^^^^^^^^^^^^^^^^
lightspeed-stack | File "/usr/lib64/python3.12/contextlib.py", line 210, in __aenter__
lightspeed-stack | return await anext(self.gen)
lightspeed-stack | ^^^^^^^^^^^^^^^^^^^^^
lightspeed-stack | File "/app-root/src/app/main.py", line 87, in lifespan
lightspeed-stack | await AsyncOgxClientHolder().load(llama_stack_config)
lightspeed-stack | File "/app-root/src/client.py", line 49, in load
lightspeed-stack | await self._load_library_client(llama_stack_config)
lightspeed-stack | File "/app-root/src/client.py", line 82, in _load_library_client
lightspeed-stack | await client.initialize()
lightspeed-stack | File "/app-root/.venv/lib64/python3.12/site-packages/ogx/core/library_client.py", line 413, in initialize
lightspeed-stack | await self.stack.initialize() # type: ignore
lightspeed-stack | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
lightspeed-stack | File "/app-root/.venv/lib64/python3.12/site-packages/ogx/core/stack.py", line 753, in initialize
lightspeed-stack | impls = await reso...
GitHub Actions: E2E Tests for Lightspeed Evaluation / 0_E2E Tests for Lightspeed Evaluation job.txt: Add output-side shield moderation for LLM response classification
Conclusion: failure
lightspeed-stack | ERROR Application startup failed. Exiting. category=server
Still waiting...
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0
0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0
curl: (7) Failed to connect to localhost port 8080 after 0 ms: Couldn't connect to server
lightspeed-stack | File "/app-root/.venv/lib64/python3.12/site-packages/fastapi/routing.py", line 240, in merged_lifespan
lightspeed-stack | async with original_context(app) as maybe_original_state:
lightspeed-stack | ^^^^^^^^^^^^^^^^^^^^^
lightspeed-stack | File "/usr/lib64/python3.12/contextlib.py", line 210, in __aenter__
lightspeed-stack | return await anext(self.gen)
lightspeed-stack | ^^^^^^^^^^^^^^^^^^^^^
lightspeed-stack | File "/app-root/src/app/main.py", line 87, in lifespan
lightspeed-stack | await AsyncOgxClientHolder().load(llama_stack_config)
lightspeed-stack | File "/app-root/src/client.py", line 49, in load
lightspeed-stack | await self._load_library_client(llama_stack_config)
lightspeed-stack | File "/app-root/src/client.py", line 82, in _load_library_client
lightspeed-stack | await client.initialize()
lightspeed-stack | File "/app-root/.venv/lib64/python3.12/site-packages/ogx/core/library_client.py", line 413, in initialize
lightspeed-stack | await self.stack.initialize() # type: ignore
lightspeed-stack | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
lightspeed-stack | File "/app-root/.venv/lib64/python3.12/site-packages/ogx/core/stack.py", line 753, in initialize
lightspeed-stack | impls = await reso...
GitHub Actions: E2E Tests for Lightspeed Evaluation / E2E Tests for Lightspeed Evaluation job: Add output-side shield moderation for LLM response classification
Conclusion: failure
##[group]Run echo "=== Test failure logs ==="
�[36;1mecho "=== Test failure logs ==="�[0m
�[36;1mecho "=== lightspeed-stack (library mode) logs ==="�[0m
�[36;1mdocker compose -f docker-compose-library.yaml logs lightspeed-stack�[0m
shell: /usr/bin/bash -e {0}
env:
OPENAI_***REDACTED_SECRET_ASSIGNMENT***
E2E_OPENAI_MODEL: gpt-4o-mini
FAISS_VECTOR_STORE_ID: vs_8c94967b-81cc-4028-a294-9cfac6fd9ae2
##[endgroup]
=== Test failure logs ===
=== lightspeed-stack (library mode) logs ===
lightspeed-stack | .455 INFO: Lightspeed Core Stack startup [lightspeed_stack.__main__:160]
lightspeed-stack | .458 INFO: Configuration: name='Lightspeed Core Service (LCS)' config_format_version=None service=ServiceConfiguration(host='0.0.0.0', port=8080, base_url=None, auth_enabled=False, workers=1, color_log=True, access_log=True, tls_config=TLSConfiguration(tls_certificate_path=None, tls_key_path=None, tls_key_***REDACTED_SECRET_ASSIGNMENT*** root_path='', cors=CORSConfiguration(allow_origins=['*'], allow_credentials=False, allow_methods=['*'], allow_headers=['*'])) llama_stack=LlamaStackConfiguration(url=AnyHttpUrl('http://localhost:8321/'), ***REDACTED_SECRET_ASSIGNMENT*** use_as_library_client=True, library_client_config_path='/app-root/run.yaml', timeout=180, max_retries=5, retry_delay=2, allow_degraded_mode=False, config=None) user_data_collection=UserDataCollection(feedback_enabled=True, feedback_storage='/tmp/data/feedback', transcripts_enabled=True, transcripts_storage='/tmp/data/transcripts') database=DatabaseConfiguration(sqlite=SQLiteDatabaseConfiguration(db_path='/tmp/lightspeed-stack.db'), postgres=None) mcp_servers=[] authentication=AuthenticationConfiguration(module='noop', skip_tls_verification=False, skip_for_health_probes=False, skip_for_metrics=False, k8s_cluster_api=None, k8s_ca_cert_path=None, jwk_config=None, api_key_config=None, rh_identity_config=None, trusted_proxy_config=None) authorization=None customization=None inference=Inferen...
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📓 Path-based instructions (4)
**/*
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Flag unbounded growth in caches, watchers, or buffers when eviction or limits are missing.
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Flag API endpoints missing authentication or authorization.
Flag injection vulnerabilities, including SQL injection, command injection, and path traversal.
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Flag Kubernetes Secrets and Red Hat secrets missing OwnerReferences.
Files:
src/constants.pysrc/app/endpoints/rlsapi_v1.pysrc/utils/shields.pytests/unit/utils/test_output_shield_moderation.pysrc/models/config.pysrc/app/endpoints/responses.py
src/**/*.py
📄 CodeRabbit inference engine (AGENTS.md)
src/**/*.py: Use absolute imports for internal modules and follow the prescribed FastAPI and Llama Stack import conventions.
All modules must begin with descriptive docstrings; uselogger = get_logger(__name__)fromlog.pyfor module logging; package__init__.pyfiles must contain brief package descriptions.
Define shared constants in the centralconstants.pymodule, add descriptive comments, and annotate constants withFinal[type].
Use complete type annotations for function parameters, return types, class attributes, and type aliases; prefer specific types overAny, use modern union syntax, and usetyping_extensions.Selffor model validators.
All functions and classes require descriptive Google-style docstrings, including appropriateParameters,Returns,Raises, andAttributessections.
Use descriptive snake_case, action-oriented function names such asget_,validate_, andcheck_; use PascalCase class names with standard suffixes such asConfiguration,Error/Exception,Resolver, andInterface.
Avoid modifying input parameters in place; return a newly constructed data structure instead.
Useasync deffor I/O operations and external API calls; API endpoints should raise FastAPIHTTPExceptionwith appropriate status codes and handle Llama StackAPIConnectionError.
Usefrom log import get_loggerand standard logger levels:debugfor diagnostics,infofor general execution,warningfor unexpected conditions or potential problems, anderrorfor serious failures.
Configuration models must extendConfigurationBase, setextra="forbid"to reject unknown fields, use Pydantic validators for custom validation, and use types such asOptional[FilePath],PositiveInt, andSecretStrwhere appropriate.
Abstract interfaces must useABCand@abstractmethoddecorators.
Never commit secrets or keys; use environment variables for sensitive data.
Files:
src/constants.pysrc/app/endpoints/rlsapi_v1.pysrc/utils/shields.pysrc/models/config.pysrc/app/endpoints/responses.py
tests/unit/**/*.py
📄 CodeRabbit inference engine (AGENTS.md)
Use pytest for unit tests, shared fixtures in
conftest.py,pytest-mockfor mocks,pytest.mark.asynciofor async tests, and maintain at least 60% unit-test coverage.
Files:
tests/unit/utils/test_output_shield_moderation.py
src/models/**/*.py
📄 CodeRabbit inference engine (AGENTS.md)
Pydantic data models must extend
BaseModel; configuration models must extendConfigurationBase; use@model_validatorand@field_validatorfor validation.
Files:
src/models/config.py
🧠 Learnings (6)
📚 Learning: 2026-06-24T13:45:37.249Z
Learnt from: Jdubrick
Repo: lightspeed-core/lightspeed-stack PR: 1971
File: src/utils/markdown_repair.py:31-36
Timestamp: 2026-06-24T13:45:37.249Z
Learning: In the lightspeed-stack repository, docstrings must use the section header name "Parameters:" (not "Args:") for function arguments, even if the project references Google Python docstring conventions. Ensure docstrings follow the project’s established "Parameters:" header format for any documented function parameters.
Applied to files:
src/constants.pysrc/app/endpoints/rlsapi_v1.pysrc/utils/shields.pytests/unit/utils/test_output_shield_moderation.pysrc/models/config.pysrc/app/endpoints/responses.py
📚 Learning: 2026-07-06T15:26:18.398Z
Learnt from: Jdubrick
Repo: lightspeed-core/lightspeed-stack PR: 2071
File: src/models/config.py:2416-2422
Timestamp: 2026-07-06T15:26:18.398Z
Learning: In this repo’s Python code under src/**, don’t treat differences in string concatenation style as a style inconsistency when Black has effectively forced (or made clearer) use of explicit `+` string concatenation in multi-line logger/string expressions. If adjacent-literal implicit concatenation is avoided/changed specifically to accommodate Black’s formatting in these call sites, accept the `+` usage and don’t recommend converting it solely for consistency with nearby blocks that use implicit concatenation.
Applied to files:
src/constants.pysrc/app/endpoints/rlsapi_v1.pysrc/utils/shields.pysrc/models/config.pysrc/app/endpoints/responses.py
📚 Learning: 2026-07-17T19:25:05.325Z
Learnt from: Jdubrick
Repo: lightspeed-core/lightspeed-stack PR: 2166
File: src/utils/saved_prompts.py:129-157
Timestamp: 2026-07-17T19:25:05.325Z
Learning: For any endpoint that handles saved prompts and calls `src/utils/saved_prompts.py::create_saved_prompt`, treat the endpoint as the validation boundary. Before calling `create_saved_prompt`, validate the incoming saved-prompt name and content, specifically using `validate_saved_prompt_name` and then persist (store) the normalized value it returns. Do not call `create_saved_prompt` with unvalidated/raw name/content.
Applied to files:
src/constants.pysrc/app/endpoints/rlsapi_v1.pysrc/utils/shields.pysrc/models/config.pysrc/app/endpoints/responses.py
📚 Learning: 2026-04-06T20:18:07.852Z
Learnt from: major
Repo: lightspeed-core/lightspeed-stack PR: 1463
File: src/app/endpoints/rlsapi_v1.py:266-271
Timestamp: 2026-04-06T20:18:07.852Z
Learning: In the lightspeed-stack codebase, within `src/app/endpoints/` inference/MCP endpoints, treat `tools: Optional[list[Any]]` in MCP tool definitions as an intentional, consistent typing pattern (used across `query`, `responses`, `streaming_query`, `rlsapi_v1`). Do not raise or suggest this as a typing issue during code review; changing it in isolation could break endpoint typing consistency across the codebase.
Applied to files:
src/app/endpoints/rlsapi_v1.pysrc/app/endpoints/responses.py
📚 Learning: 2026-01-12T10:58:40.230Z
Learnt from: blublinsky
Repo: lightspeed-core/lightspeed-stack PR: 972
File: src/models/config.py:459-513
Timestamp: 2026-01-12T10:58:40.230Z
Learning: In lightspeed-core/lightspeed-stack, for Python files under src/models, when a user claims a fix is done but the issue persists, verify the current code state before accepting the fix. Steps: review the diff, fetch the latest changes, run relevant tests, reproduce the issue, search the codebase for lingering references to the original problem, confirm the fix is applied and not undone by subsequent commits, and validate with local checks to ensure the issue is resolved.
Applied to files:
src/models/config.py
📚 Learning: 2026-02-25T07:46:33.545Z
Learnt from: asimurka
Repo: lightspeed-core/lightspeed-stack PR: 1211
File: src/models/responses.py:8-16
Timestamp: 2026-02-25T07:46:33.545Z
Learning: In the Python codebase, requests.py should use OpenAIResponseInputTool as Tool while responses.py uses OpenAIResponseTool as Tool. This difference is intentional due to differing schemas for input vs output tools in llama-stack-api. Apply this distinction consistently to other models under src/models (e.g., ensure request-related tools use the InputTool variant and response-related tools use the ResponseTool variant). If adding new tools, choose the corresponding InputTool or Tool class based on whether the tool represents input or output, and document the rationale in code comments.
Applied to files:
src/models/config.py
🪛 ast-grep (0.45.1)
src/app/endpoints/responses.py
[info] 989-989: use jsonify instead of json.dumps for JSON output
Context: json.dumps(chunk_dict)
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
🔇 Additional comments (4)
src/constants.py (1)
394-446: LGTM!src/utils/shields.py (1)
113-163: LGTM!tests/unit/utils/test_output_shield_moderation.py (1)
22-188: LGTM!src/app/endpoints/rlsapi_v1.py (1)
798-809: LGTM!
- Replace api_response.output with refusal_response when output shield blocks, preventing blocked content from leaking via the structured response.output field (security fix) - Replace O(n^2) duplicate-name scan with single-pass set lookup in validate_shield_names_unique (performance) Not addressed (intentionally): - Output-specific defaults for QuestionValidityConfig: the prompt is always explicitly configured in lightspeed-stack.yaml, so the default is never used. Adding a separate config type would be unnecessary boilerplate.
Add validate_output_shield_prompts_explicit validator that rejects QuestionValidityConfig output shields relying on DEFAULT_MODEL_PROMPT or DEFAULT_INVALID_QUESTION_RESPONSE. These input-side defaults are inappropriate for output classification. Addresses CodeRabbit follow-up: a valid output_shields entry could omit model_prompt and silently use the input-side classification prompt, classifying responses with questions-oriented logic. 3 new tests verify detection of default values.
- Merge upstream/main (includes RSPEED-3398 input sanitization) - Resolve conflict in constants.py: keep both OBFUSCATION_REJECTION_MESSAGE (from RSPEED-3398) and output classification constants (RSPEED-3399) - Apply black formatting to shields.py, rlsapi_v1.py, and test file All 28 tests pass, ruff and black clean.
Replace field-level default assertions with Configuration-level validation tests per CodeRabbit feedback. Tests now construct a full Configuration with output_shields and verify that: - Default model_prompt raises ValueError - Default invalid_question_response raises ValueError - Explicit values pass validation This ensures the validate_output_shield_prompts_explicit validator is actually exercised.
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in overall it looks ok. Could you pls resolve conflict, fix UT, and other problems found by linters?
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Actionable comments posted: 1
🤖 Prompt for all review comments with AI agents
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Inline comments:
In `@tests/unit/utils/test_output_shield_moderation.py`:
- Around line 171-203: Update the tests around test_default_prompt_detected,
test_default_rejection_detected, and test_explicit_fields_differ_from_defaults
to construct Configuration with output_shields and invoke its validation path.
Assert that configurations using either default prompt or default rejection
raise ValueError, while a configuration with both explicit values loads
successfully; retain the existing field-default assertions only if still useful.
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GitHub Actions: PR Title Checker / check: Add output-side shield moderation for LLM response classification
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##[group]Run thehanimo/pr-title-checker@v1.4.3
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##[endgroup]
(node:1986) [DEP0040] DeprecationWarning: The `punycode` module is deprecated. Please use a userland alternative instead.
Using config file .github/pr-title-checker-config.json from repo lightspeed-core/lightspeed-stack [ref: 7ae6f29cd1b42ca7442ceaead2068c25b74d1a91]
(Use `node --trace-deprecation ...` to show where the warning was created)
(node:1986) [DEP0169] DeprecationWarning: `url.parse()` behavior is not standardized and prone to errors that have security implications. Use the WHATWG URL API instead. CVEs are not issued for `url.parse()` vulnerabilities.
Creating label (title needs formatting)...
Label (title needs formatting) already created.
Adding label (title needs formatting) to PR...
HttpError: Resource not accessible by integration
##[error]Failed to add label (title needs formatting) to PR
GitHub Actions: PR Title Checker / 0_check.txt: Add output-side shield moderation for LLM response classification
Conclusion: failure
##[group]Run thehanimo/pr-title-checker@v1.4.3
with:
GITHUB_***REDACTED_SECRET_ASSIGNMENT***
pass_on_octokit_error: false
configuration_path: .github/pr-title-checker-config.json
##[endgroup]
(node:1986) [DEP0040] DeprecationWarning: The `punycode` module is deprecated. Please use a userland alternative instead.
Using config file .github/pr-title-checker-config.json from repo lightspeed-core/lightspeed-stack [ref: 7ae6f29cd1b42ca7442ceaead2068c25b74d1a91]
(Use `node --trace-deprecation ...` to show where the warning was created)
(node:1986) [DEP0169] DeprecationWarning: `url.parse()` behavior is not standardized and prone to errors that have security implications. Use the WHATWG URL API instead. CVEs are not issued for `url.parse()` vulnerabilities.
Creating label (title needs formatting)...
Label (title needs formatting) already created.
Adding label (title needs formatting) to PR...
HttpError: Resource not accessible by integration
##[error]Failed to add label (title needs formatting) to PR
GitHub Actions: OpenAPI (Spectral) / spectral: Add output-side shield moderation for LLM response classification
Conclusion: failure
##[group]Run set -euo pipefail
�[36;1mset -euo pipefail�[0m
�[36;1muv run python scripts/generate_openapi_schema.py /tmp/openapi-generated.json�[0m
�[36;1mif ! diff -u docs/devel_doc/openapi.json /tmp/openapi-generated.json; then�[0m
�[36;1m echo "::error::docs/devel_doc/openapi.json is out of date. Regenerate with: uv run scripts/generate_openapi_schema.py docs/devel_doc/openapi.json"�[0m
GitHub Actions: OpenAPI (Spectral) / 0_spectral.txt: Add output-side shield moderation for LLM response classification
Conclusion: failure
##[group]Run set -euo pipefail
�[36;1mset -euo pipefail�[0m
�[36;1muv run python scripts/generate_openapi_schema.py /tmp/openapi-generated.json�[0m
�[36;1mif ! diff -u docs/devel_doc/openapi.json /tmp/openapi-generated.json; then�[0m
�[36;1m echo "::error::docs/devel_doc/openapi.json is out of date. Regenerate with: uv run scripts/generate_openapi_schema.py docs/devel_doc/openapi.json"�[0m
🧰 Additional context used
📓 Path-based instructions (4)
**/*
📄 CodeRabbit inference engine (Custom checks)
**/*: Flag meaningful O(n^2)+ algorithms on non-trivial inputs, including handlers and Kubernetes list operations.
Flag N+1 patterns that list items and then query once per item, including Kubernetes API and database access.
Flag expensive work inside loops, including API calls, JSON parsing, and regex compilation.
Flag unbounded growth in caches, watchers, or buffers when eviction or limits are missing.
Flag missing pagination or limits on list operations and API endpoints.
Flag secrets or tokens logged in plaintext or hardcoded in source.
Flag API endpoints missing authentication or authorization.
Flag injection vulnerabilities, including SQL injection, command injection, and path traversal.
Flag sensitive data leaked in API responses, WebSocket messages, or logs.
Flag Kubernetes Secrets and Red Hat secrets missing OwnerReferences.
Files:
src/utils/shields.pysrc/models/config.pysrc/constants.pytests/unit/utils/test_output_shield_moderation.pysrc/app/endpoints/responses.pysrc/app/endpoints/rlsapi_v1.py
src/**/*.py
📄 CodeRabbit inference engine (AGENTS.md)
src/**/*.py: Use absolute imports for internal modules and follow the prescribed FastAPI and Llama Stack import conventions.
All modules must begin with descriptive docstrings; uselogger = get_logger(__name__)fromlog.pyfor module logging; package__init__.pyfiles must contain brief package descriptions.
Define shared constants in the centralconstants.pymodule, add descriptive comments, and annotate constants withFinal[type].
Use complete type annotations for function parameters, return types, class attributes, and type aliases; prefer specific types overAny, use modern union syntax, and usetyping_extensions.Selffor model validators.
All functions and classes require descriptive Google-style docstrings, including appropriateParameters,Returns,Raises, andAttributessections.
Use descriptive snake_case, action-oriented function names such asget_,validate_, andcheck_; use PascalCase class names with standard suffixes such asConfiguration,Error/Exception,Resolver, andInterface.
Avoid modifying input parameters in place; return a newly constructed data structure instead.
Useasync deffor I/O operations and external API calls; API endpoints should raise FastAPIHTTPExceptionwith appropriate status codes and handle Llama StackAPIConnectionError.
Usefrom log import get_loggerand standard logger levels:debugfor diagnostics,infofor general execution,warningfor unexpected conditions or potential problems, anderrorfor serious failures.
Configuration models must extendConfigurationBase, setextra="forbid"to reject unknown fields, use Pydantic validators for custom validation, and use types such asOptional[FilePath],PositiveInt, andSecretStrwhere appropriate.
Abstract interfaces must useABCand@abstractmethoddecorators.
Never commit secrets or keys; use environment variables for sensitive data.
Files:
src/utils/shields.pysrc/models/config.pysrc/constants.pysrc/app/endpoints/responses.pysrc/app/endpoints/rlsapi_v1.py
src/models/**/*.py
📄 CodeRabbit inference engine (AGENTS.md)
Pydantic data models must extend
BaseModel; configuration models must extendConfigurationBase; use@model_validatorand@field_validatorfor validation.
Files:
src/models/config.py
tests/unit/**/*.py
📄 CodeRabbit inference engine (AGENTS.md)
Use pytest for unit tests, shared fixtures in
conftest.py,pytest-mockfor mocks,pytest.mark.asynciofor async tests, and maintain at least 60% unit-test coverage.
Files:
tests/unit/utils/test_output_shield_moderation.py
🔇 Additional comments (6)
src/constants.py (1)
394-398: LGTM!src/models/config.py (1)
3323-3356: LGTM!Also applies to: 3358-3393
src/utils/shields.py (1)
3-33: LGTM!Also applies to: 93-104, 130-178
tests/unit/utils/test_output_shield_moderation.py (1)
13-165: LGTM!src/app/endpoints/responses.py (1)
977-989: LGTM!Also applies to: 1126-1136
src/app/endpoints/rlsapi_v1.py (1)
798-807: LGTM!
2 participants
Summary
Addresses pentest finding OFFSEC-310 (LCORE-2750, CVSS 8.5 Important): the model can be manipulated into generating creative content (emails, speeches, roleplay) outside its intended scope as a RHEL technical assistant.
JIRA: RSPEED-3399
Epic: RSPEED-3314 — Add RHEL Topic Guardrails to LSCORE
Approach
Reuses the existing
QuestionValiditycapability (LLM-based classification) but applied to LLM output rather than input. A newoutput_shieldsconfiguration section inlightspeed-stack.yamltakes the same format as inputshieldsbut runs post-inference.Changes
src/constants.pyDEFAULT_OUTPUT_MODEL_PROMPTandDEFAULT_OUTPUT_REJECTION_MESSAGE— output classification prompt with RHEL-specific examplessrc/models/config.pyoutput_shields: list[ShieldConfiguration]field onConfigurationclass + validator for unique names across both shield listssrc/utils/shields.pyrun_output_shield_moderation()— iterates output shields, gracefully handles errors (logs warning instead of blocking)src/app/endpoints/rlsapi_v1.pysrc/app/endpoints/responses.pytests/unit/utils/test_output_shield_moderation.pyBehavior
/v1/infer,/v1/responses): If the output shield classifies the response as non-technical, the response text is replaced with a rejection message./v1/responsesstreaming): The check runs at the terminal event. If triggered, a warning is logged (the content has already been streamed to the user).ShieldModerationPassed()immediately.Configuration (in
lightspeed-stack.yaml)Deployment configuration (
lscore-deploy) will follow in a separate MR.Tests
Summary by CodeRabbit
New Features
Tests