Add mypy checker for importing and update CI condition #387
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🦋 Changeset detectedLatest commit: 32c7aec The changes in this PR will be included in the next version bump. This PR includes changesets to release 1 package
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| @@ -170,7 +170,7 @@ For better results, you can specify the region parameter to get results from a s | |||
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| name: "e2b_code_interpreter", | |||
| version: "^0.0.11b38", | |||
| version: "0.0.11b38", | |||
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The latest version is not working so i created a new ticket for the upgrade: #388
| disable_error_code = ["return-value", "import-untyped", "assignment"] | ||
| disable_error_code = ["return-value", "assignment"] | ||
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| [[tool.mypy.overrides]] |
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Cannot check for missing imports for all the packages; configure it to only check for missing imports in our code
leehuwuj
changed the title
WalkthroughThe changes in this pull request primarily focus on enhancing the handling of user prompts for model selection across various provider functions. The logic for prompting users has been simplified to depend solely on the Changes
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Actionable comments posted: 1
🧹 Outside diff range and nitpick comments (14)
.changeset/two-masks-design.md (1)
1-5: Changeset looks good, consider adding more details.The changeset is correctly structured and describes a patch for "create-llama" to fix an import error. This aligns with the broader changes mentioned in the PR summary.
Consider expanding the description to provide more context. For example:
Fix import error if the artifact tool is selected This patch addresses an issue where selecting the artifact tool would result in an import error. The fix ensures proper importing of necessary modules when the artifact tool is chosen, improving the robustness of the create-llama package.templates/types/streaming/fastapi/app/api/routers/chat_config.py (1)
25-25: Consistent type ignore, consider import style consistency.The addition of the type ignore comment is consistent with the previous function. However, consider using the same multi-line import style as in
_is_llama_cloud_service_configuredfor consistency.Consider refactoring the import to match the style in
_is_llama_cloud_service_configured:from app.engine.service import ( LLamaCloudFileService, # type: ignore )helpers/providers/gemini.ts (1)
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1-80: Overall assessment: Approved with suggestionsThe changes to
askGeminiQuestionsfunction align with the PR objectives and improve consistency across provider implementations. The simplified logic enhances maintainability and provides a clearer user interaction flow.To ensure robustness:
- Consider adding a mechanism to set custom models programmatically when
askModelsis false.- Update documentation to reflect the new behavior, especially regarding CI/CD implications.
- Add unit tests to cover both
askModelstrue and false scenarios.helpers/providers/anthropic.ts (1)
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12-14: Consider tracking the TODO as a future improvementThere's a TODO comment about getting embedding vector dimensions from the Anthropic SDK. It might be beneficial to create a ticket or issue to track this improvement, ensuring it's not overlooked in future updates.
Would you like me to create a GitHub issue to track this TODO item?
templates/components/engines/python/agent/tools/openapi_action.py (2)
49-52: LGTM! Consider moving imports to the top of the file.The addition of type ignore comments for
yamlandrequestsimports aligns with the project's approach to managing type checking. This is consistent with changes in other files mentioned in the AI summary.Consider moving these imports to the top of the file for better readability and to follow PEP 8 guidelines, unless there's a specific reason for keeping them within the method.
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40-40: Excellent improvements in error handling and type annotations!The addition of type annotations to the method signature and the enhanced error handling with specific error messages are great improvements. These changes will significantly aid in debugging and provide more informative feedback.
Consider adding a docstring to the
_load_openapi_specmethod to describe the return value types, as the current docstring mentions returning a list of Document objects, which doesn't match the actual return type ofTuple[Dict, List[str]].Also applies to: 55-74
helpers/providers/openai.ts (1)
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56-80: Approved: Simplified user prompt logicThe changes effectively simplify the logic for when to prompt the user for model selection. By directly using the
askModelsparameter, the code becomes more straightforward and easier to understand. This aligns well with the PR objective of updating CI conditions.Consider extracting the model selection prompts into separate functions to improve readability:
async function promptForLLMModel(apiKey: string): Promise<string> { const { model } = await prompts( { type: "select", name: "model", message: "Which LLM model would you like to use?", choices: await getAvailableModelChoices(false, apiKey), initial: 0, }, questionHandlers, ); return model; } async function promptForEmbeddingModel(apiKey: string): Promise<string> { const { embeddingModel } = await prompts( { type: "select", name: "embeddingModel", message: "Which embedding model would you like to use?", choices: await getAvailableModelChoices(true, apiKey), initial: 0, }, questionHandlers, ); return embeddingModel; } // Usage in askOpenAIQuestions if (askModels) { config.model = await promptForLLMModel(config.apiKey); config.embeddingModel = await promptForEmbeddingModel(config.apiKey); config.dimensions = getDimensions(config.embeddingModel); }This refactoring would make the main function more concise and easier to read.
helpers/providers/llmhub.ts (1)
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82-106: Approved: Simplified model selection logicThe changes effectively simplify the model selection process by directly using the
askModelsparameter. This aligns well with the PR objectives and improves code clarity.Consider adding a brief comment explaining the purpose of the
askModelscheck for better code documentation:+ // Prompt for model selection only if explicitly requested if (askModels) { // ... (existing code) }templates/types/streaming/fastapi/app/api/routers/vercel_response.py (1)
141-141: LGTM! Consider using conditional imports for better type checking.The addition of the type ignore comment addresses potential type-checking issues with the
LLamaCloudFileServiceimport. This change aligns with similar modifications in other files mentioned in the summary.To improve type checking and code clarity, consider using conditional imports. This approach can help avoid the need for type ignore comments. Here's an example of how you could refactor this:
from typing import TYPE_CHECKING if TYPE_CHECKING: from app.engine.service import LLamaCloudFileService else: try: from app.engine.service import LLamaCloudFileService except ImportError: LLamaCloudFileService = None # Then in your _process_response_nodes method: if LLamaCloudFileService is not None: LLamaCloudFileService.download_files_from_nodes(source_nodes, background_tasks) else: logger.debug("LlamaCloud is not configured. Skipping post processing of nodes")This approach provides better type hinting while still maintaining the runtime behavior of optional imports.
templates/types/streaming/fastapi/app/services/file.py (1)
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290-298: Address multiple type ignore comments and improve type annotations.Two type ignore comments have been added in this segment:
- On the import of
ToolFactory- On the return statement of
toolsThese changes suggest potential type inconsistencies that should be addressed rather than ignored.
Consider the following improvements:
- For the
ToolFactoryimport: Similar to the previous comment, investigate why this type ignore is necessary and consider alternative solutions.- For the
toolsreturn statement: Instead of using a type ignore, update the function's return type hint to accurately reflect the actual return type ofToolFactory.from_env(map_result=True). This might involve usingUnionorTypedDictif the return type is complex.Example:
from typing import Dict, List, Union from app.engine.tools import ToolFactory, SomeToolType # Replace SomeToolType with the actual type def _get_available_tools() -> Dict[str, List[Union[FunctionTool, SomeToolType]]]: # ... existing code ... tools = ToolFactory.from_env(map_result=True) return tools # No type ignore needed if return type is correctly annotatedThis approach will improve type safety and make the code more maintainable.
templates/components/engines/python/agent/tools/img_gen.py (4)
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36-36: Useself.fileserver_url_prefixinstead of callingos.getenvagainIn the
_save_imagemethod, you're callingos.getenv('FILESERVER_URL_PREFIX')again, even though you've already stored this value inself.fileserver_url_prefixduring initialization. This may lead to inconsistencies if the environment variable changes. Useself.fileserver_url_prefixto ensure consistency.Apply this diff to use
self.fileserver_url_prefix:-url = f"{os.getenv('FILESERVER_URL_PREFIX')}/{self._IMG_OUTPUT_DIR}/{filename}" +url = f"{self.fileserver_url_prefix}/{self._IMG_OUTPUT_DIR}/{filename}"
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74-74: Remove redundant argument inlogger.exceptioncallThe
logger.exception()method automatically logs the current exception and stack trace; passing the exceptioneas an argument is redundant and may result in repetitive or incorrect logging. You can removeefrom thelogger.exceptioncall.Apply this diff to simplify the logging statement:
-except Exception as e: - logger.exception(e, exc_info=True) +except Exception: + logger.exception(exc_info=True)Alternatively, since
logger.exception()by default includes exception information, you can further simplify:-except Exception as e: - logger.exception(e, exc_info=True) +except Exception: + logger.exception()
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75-78: Avoid returning raw exception messages to the userReturning raw exception messages may expose sensitive information or internal implementation details. Consider returning a generic error message or sanitizing the exception message before returning it to the user.
Apply this diff to return a generic error message:
-return ImageGeneratorToolOutput( - is_success=False, - error_message=str(e), -) +return ImageGeneratorToolOutput( + is_success=False, + error_message="An error occurred while generating the image. Please try again later.", +)
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18-20: Simplify redundant wording in error messageIn the error message, the phrase
"STABILITY_API_KEY key"is repetitive. Consider simplifying it to"STABILITY_API_KEY is required...".Apply this diff to correct the error message:
-raise ValueError( - "STABILITY_API_KEY key is required to run image generator. Get it here: https://platform.stability.ai/account/keys" -) +raise ValueError( + "STABILITY_API_KEY is required to run image generator. Get it here: https://platform.stability.ai/account/keys" +)
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📒 Files selected for processing (22)
- .changeset/two-masks-design.md (1 hunks)
- helpers/providers/anthropic.ts (1 hunks)
- helpers/providers/azure.ts (1 hunks)
- helpers/providers/gemini.ts (1 hunks)
- helpers/providers/groq.ts (1 hunks)
- helpers/providers/llmhub.ts (1 hunks)
- helpers/providers/mistral.ts (1 hunks)
- helpers/providers/ollama.ts (1 hunks)
- helpers/providers/openai.ts (1 hunks)
- helpers/tools.ts (1 hunks)
- questions/index.ts (1 hunks)
- templates/components/engines/python/agent/tools/document_generator.py (1 hunks)
- templates/components/engines/python/agent/tools/img_gen.py (1 hunks)
- templates/components/engines/python/agent/tools/openapi_action.py (2 hunks)
- templates/components/engines/python/agent/tools/weather.py (1 hunks)
- templates/components/routers/python/sandbox.py (2 hunks)
- templates/components/vectordbs/python/llamacloud/generate.py (1 hunks)
- templates/types/streaming/fastapi/app/api/routers/init.py (1 hunks)
- templates/types/streaming/fastapi/app/api/routers/chat_config.py (1 hunks)
- templates/types/streaming/fastapi/app/api/routers/vercel_response.py (1 hunks)
- templates/types/streaming/fastapi/app/services/file.py (2 hunks)
- templates/types/streaming/fastapi/pyproject.toml (1 hunks)
✅ Files skipped from review due to trivial changes (2)
- templates/components/engines/python/agent/tools/weather.py
- templates/components/vectordbs/python/llamacloud/generate.py
🧰 Additional context used
📓 Path-based instructions (9)
templates/components/engines/python/agent/tools/document_generator.py (1)
Pattern
templates/**: For files under thetemplatesfolder, do not report 'Missing Dependencies Detected' errors.templates/components/engines/python/agent/tools/img_gen.py (1)
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templates/**: For files under thetemplatesfolder, do not report 'Missing Dependencies Detected' errors.templates/components/engines/python/agent/tools/openapi_action.py (1)
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templates/**: For files under thetemplatesfolder, do not report 'Missing Dependencies Detected' errors.templates/components/routers/python/sandbox.py (1)
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templates/**: For files under thetemplatesfolder, do not report 'Missing Dependencies Detected' errors.templates/types/streaming/fastapi/app/api/routers/__init__.py (1)
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templates/**: For files under thetemplatesfolder, do not report 'Missing Dependencies Detected' errors.templates/types/streaming/fastapi/app/api/routers/chat_config.py (1)
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templates/**: For files under thetemplatesfolder, do not report 'Missing Dependencies Detected' errors.templates/types/streaming/fastapi/app/api/routers/vercel_response.py (1)
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templates/**: For files under thetemplatesfolder, do not report 'Missing Dependencies Detected' errors.templates/types/streaming/fastapi/app/services/file.py (1)
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templates/**: For files under thetemplatesfolder, do not report 'Missing Dependencies Detected' errors.templates/types/streaming/fastapi/pyproject.toml (1)
Pattern
templates/**: For files under thetemplatesfolder, do not report 'Missing Dependencies Detected' errors.
🔇 Additional comments (25)
templates/types/streaming/fastapi/app/api/routers/__init__.py (1)
14-14: Consider the implications of changing from linter ignore to type ignore.The change from
# noqa: F401to# type: ignoreshifts the focus from suppressing linter warnings about unused imports to ignoring potential type checking issues. While this change aligns with the optional nature of the import (as evidenced by the try-except block), it's worth considering the following points:
- If the intent is to suppress both linter and type checking warnings, you might want to use both comments:
# type: ignore # noqa: F401- If type checking is indeed the primary concern, ensure that this change doesn't inadvertently hide any important type-related issues.
- Given that this file is in the
templatesdirectory, remember that we're not to report 'Missing Dependencies Detected' errors as per the coding guidelines.To ensure this change doesn't introduce any unintended consequences, you may want to run your type checker and linter to verify no new warnings or errors are introduced. Here's a script to help with that:
questions/index.ts (3)
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1-18: Clarify the implementation of mypy checker.The PR objectives mention adding a mypy checker, but there's no visible implementation in this file. Could you clarify:
- Is the mypy checker implemented in another file not shown in this review?
- If not, should the PR title be updated to accurately reflect the changes made?
Let's check if there are any mypy-related changes in other files:
#!/bin/bash # Description: Search for mypy-related changes # Expected: Files containing mypy configuration or usage rg "mypy" --type ts rg "mypy" --type yaml rg "mypy" --type toml
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13-16: Consider addressing the TODO and improve type safety.
There's a TODO comment about refactoring pro questions. Consider creating a separate issue to track this technical debt if it's not part of the current PR scope.
The type casting
args as unknown as QuestionResultscould lead to runtime errors if the structure ofargsdoesn't exactly matchQuestionResults. Consider refactoring this to ensure type safety, perhaps by explicitly constructing aQuestionResultsobject fromargs.To better understand the structure of
QuestionResultsand how it relates to theargsobject, let's check their definitions:#!/bin/bash # Description: Find definitions of QuestionResults and QuestionArgs # Expected: Clear type definitions that show how they relate rg "type QuestionResults" --type ts rg "type QuestionArgs" --type ts
10-11: Expanded condition for CI question results.The condition for using CI question results has been expanded to include a check for the
PLAYWRIGHT_TESTenvironment variable. This change aligns with the PR objective of updating CI conditions.To ensure this change doesn't introduce any unintended side effects, let's verify the usage of
PLAYWRIGHT_TESTacross the codebase:✅ Verification successful
No additional occurrences of
PLAYWRIGHT_TESTfound.🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Check for other occurrences of PLAYWRIGHT_TEST # Expected: This should be the only occurrence or others should be consistent rg "PLAYWRIGHT_TEST" --type tsLength of output: 209
templates/types/streaming/fastapi/pyproject.toml (1)
39-43: LGTM! MyPy configuration refined as requested.These changes address the previous comment about checking for missing imports only in the project's code:
- Removing "import-untyped" from
disable_error_codeenables MyPy to report untyped import errors.- The new
[[tool.mypy.overrides]]section setsignore_missing_imports = falsespecifically for "app.*" modules, ensuring that missing imports are reported as errors only for the project's code.This configuration aligns with the PR objective of adding a MyPy checker for importing and updating CI conditions.
templates/types/streaming/fastapi/app/api/routers/chat_config.py (2)
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1-67: Overall assessment: Minor changes, functionality preserved.The changes in this file are focused on import statements and type checking. The core functionality remains intact, and the modifications improve code readability. Ensure consistency in import styles and verify the necessity of type ignore comments across the codebase.
15-17: Improved import readability, verify type ignore necessity.The multi-line import improves code readability. However, the addition of the type ignore comment suggests potential type checking issues.
Could you verify if the type ignore is necessary? If it's addressing a known issue, consider adding a brief comment explaining why it's needed. Run the following script to check for similar type ignores:
✅ Verification successful
Type ignore for LLamaCloudFileService is consistently applied.
The
# type: ignorecomments forLLamaCloudFileServiceare present in multiple files, indicating a known and intentional decision to bypass type checking for this import. Consider adding a brief comment to explain the necessity of thesetype: ignoredirectives for future clarity.🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Check for similar type ignores in the codebase # Test: Search for similar type ignores. Expect: Occurrences of type ignore for LLamaCloudFileService rg "LLamaCloudFileService.*# type: ignore"Length of output: 727
helpers/providers/mistral.ts (1)
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55-82: Approve simplification of model selection logicThe simplification of the condition for model selection improves code readability and maintainability. This change aligns with similar modifications in other provider files.
To ensure this change doesn't negatively impact existing workflows:
- Verify that CI/CD pipelines are not affected by the removal of CI-specific logic.
- Update any relevant documentation that might reference the old behavior.
Run the following script to check for any remaining CI-related logic in provider files:
If the script returns any results, consider reviewing those occurrences to ensure consistency across all provider files.
helpers/providers/gemini.ts (1)
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56-80: Simplified model selection logicThe changes streamline the user interaction process by solely relying on the
askModelsparameter to determine whether to prompt for model selection. This aligns with similar modifications in other provider files and simplifies the control flow.Consider the following points:
- Ensure that this change doesn't negatively impact any CI/CD pipelines that might have relied on the previous behavior.
- The function now uses default models when
askModelsis false. Verify if there's a need for a mechanism to set custom models without user prompts.To ensure consistency across provider files and verify the impact on CI/CD, run the following script:
✅ Verification successful
Verification Successful: No CI/CD Impacts Detected
- Consistent usage of
askModelsacross provider files.- No CI-specific logic found related to
askModelsorGOOGLE_API_KEYin GitHub Actions workflows.🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Check for consistent askModels usage across provider files and CI scripts # Test 1: Verify consistent askModels usage in provider files echo "Checking askModels usage in provider files:" rg -n "if \(askModels\)" helpers/providers/ # Test 2: Check for any remaining CI-specific logic in provider files echo "Checking for CI-specific logic in provider files:" rg -n "process\.env\.CI" helpers/providers/ # Test 3: Scan CI configuration files for potential conflicts echo "Scanning CI configuration files for potential conflicts:" rg -n "askModels|GOOGLE_API_KEY" .github/workflows/ .gitlab-ci.yml .circleci/config.ymlLength of output: 1077
Script:
#!/bin/bash # Description: Scan GitHub Actions workflow files for askModels and GOOGLE_API_KEY usage echo "Checking askModels usage in GitHub Actions workflow files:" rg -n "if \(askModels\)" .github/workflows/ echo "Checking for CI-specific logic related to GOOGLE_API_KEY in GitHub Actions workflow files:" rg -n "GOOGLE_API_KEY" .github/workflows/Length of output: 405
helpers/providers/ollama.ts (1)
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36-62: LGTM! Simplified logic for model selection.The changes to the
askOllamaQuestionsfunction improve code readability and maintainability by simplifying the logic for prompting users. The function now relies solely on theaskModelsparameter, which aligns with similar changes in other provider files mentioned in the AI-generated summary.Consider improving error handling in
ensureModel.While the current implementation uses
process.exit(1)for error handling, consider refactoring to throw custom errors instead. This would allow for more graceful error handling and potentially better integration with the calling code.Here's a suggested improvement:
async function ensureModel(modelName: string) { try { // ... existing code ... if (!found) { throw new Error(`Model ${modelName} was not pulled yet. Call 'ollama pull ${modelName}' and try again.`); } } catch (error) { if (error instanceof Error) { throw new Error(`Listing Ollama models failed. Is 'ollama' running? ${error.message}`); } throw error; } }Then, update the
askOllamaQuestionsfunction to handle these errors:export async function askOllamaQuestions({ askModels, }: OllamaQuestionsParams): Promise<ModelConfigParams> { // ... existing code ... try { if (askModels) { // ... existing prompts code ... await ensureModel(model); config.model = model; // ... existing embedding model prompts ... await ensureModel(embeddingModel); config.embeddingModel = embeddingModel; config.dimensions = EMBEDDING_MODELS[embeddingModel].dimensions; } return config; } catch (error) { console.error(red((error as Error).message)); process.exit(1); } }Verify the impact on CI environments.
The removal of CI-related checks might affect the behavior in CI environments. Please ensure that this change doesn't negatively impact your CI/CD pipeline.
To verify the impact, you can run the following script:
✅ Verification successful
Verified: Removal of CI-related checks in
ollama.tsdoes not impact CI environments.🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Check for CI-related environment variables and their usage # Test: Search for CI-related environment variables echo "Searching for CI-related environment variables:" rg -i '\b(CI|CONTINUOUS_INTEGRATION|GITHUB_ACTIONS|GITLAB_CI|TRAVIS|CIRCLECI)\b' -g '!{.git,node_modules}/**' # Test: Search for usage of process.env related to CI echo "Searching for usage of process.env related to CI:" rg 'process\.env\.[A-Z_]*CI[A-Z_]*' -g '!{.git,node_modules}/**' # Test: Search for conditional checks related to CI echo "Searching for conditional checks related to CI:" rg '\bif\s*\(\s*(process\.env\.[A-Z_]*CI[A-Z_]*|CI|CONTINUOUS_INTEGRATION|GITHUB_ACTIONS|GITLAB_CI|TRAVIS|CIRCLECI)\b' -g '!{.git,node_modules}/**'Length of output: 2517
helpers/providers/anthropic.ts (1)
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72-101: Improved user prompt logicThe changes simplify the control flow for model selection by directly using the
askModelsparameter. This modification aligns well with similar changes in other provider files and enhances code clarity and maintainability.templates/components/engines/python/agent/tools/openapi_action.py (1)
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23-30: Great improvements in type safety and performance!The addition of type annotation for
domain_headersand the implementation of caching logic for OpenAPI specs are excellent improvements. These changes enhance code clarity, type safety, and potentially improve performance by avoiding unnecessary reloading of specs.helpers/providers/azure.ts (1)
69-69: 🛠️ Refactor suggestionSimplified model selection logic: Consider documenting default behavior
The condition for asking model-related questions has been simplified to only depend on the
askModelsparameter. This change aligns with modifications in other provider files, improving consistency across the codebase.However, consider the following points:
- The removal of CI-specific logic might affect automated testing or deployment scenarios if they relied on the previous behavior.
- When
askModelsis falsy, the function silently uses default values without any indication to the user.Consider adding a comment or log statement to indicate when default values are being used:
if (askModels) { // ... (existing code for model selection) } else { console.log('Using default models:', { model: config.model, embeddingModel: config.embeddingModel }); }This addition would improve transparency and help with debugging in scenarios where model selection is skipped.
To ensure this change doesn't introduce unexpected behavior in CI environments, we should verify its usage:
✅ Verification successful
Verified: No CI-specific usage of
askAzureQuestionsfoundThe removal of CI-specific logic does not impact the codebase. The simplification aligns with changes in other provider files, enhancing consistency across the project.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Check for CI-specific usage of askAzureQuestions # Test: Search for CI-related conditions around askAzureQuestions rg -A 5 -B 5 'askAzureQuestions.*process\.env\.CI'Length of output: 52
helpers/providers/groq.ts (2)
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112-138: Simplified model selection logic looks good.The changes to the
askGroqQuestionsfunction have simplified the logic for prompting user model selection. This improvement enhances code readability and maintainability.To ensure this change doesn't introduce any regressions, let's verify if there are any other occurrences of CI-related checks in the codebase that might need similar updates:
#!/bin/bash # Description: Check for CI-related conditions in other provider files # Test: Search for CI-related conditions in other provider files rg -i 'ci|continuous integration' helpers/providers/
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1-138: Verify mypy checker addition mentioned in PR title.The changes in this file address the CI condition update mentioned in the PR title. However, there's no evidence of adding a mypy checker for importing as stated in the PR title.
Let's verify if the mypy checker has been added in other files:
If no results are found, please ensure that the mypy checker addition is included in this PR or update the PR title accordingly.
helpers/providers/llmhub.ts (1)
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82-106: Verify impact on CI and suggest comprehensive testingThe simplification of the model selection logic is a positive change. However, it's crucial to ensure that this modification doesn't negatively impact the CI process or any other parts of the system that might have relied on the previous behavior.
Please run the following script to check for any CI-related configurations or usages that might be affected by this change:
Additionally, ensure that comprehensive tests are in place to cover various scenarios, including:
- CI environment with
askModelsset to true and false- Non-CI environment with
askModelsset to true and false- Different combinations of API key availability (provided, not provided, environment variable)
This will help guarantee that the changes don't introduce any regressions.
✅ Verification successful
Verified: No impact on CI detected.
The changes to
helpers/providers/llmhub.tsdo not affect CI configurations or scripts. Additionally, there are no usages ofaskLLMHubQuestionsin test files or CI workflows. Ensure that comprehensive tests cover the updated logic to maintain system integrity.🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Check for CI-related configurations and usages # Search for CI-related environment variables or configurations echo "Searching for CI-related configurations:" rg -i '\b(CI|CONTINUOUS_INTEGRATION|GITHUB_ACTIONS)\b' --type yaml --type json --type js --type ts # Search for usages of askLLMHubQuestions in test files or CI scripts echo "Searching for askLLMHubQuestions usages in tests or CI scripts:" rg 'askLLMHubQuestions' --type ts --type js --type yamlLength of output: 2154
templates/components/engines/python/agent/tools/document_generator.py (1)
108-108: LGTM: Type ignore comment added for markdown import.The addition of
# type: ignoreto the markdown import is appropriate. This change helps suppress potential type checking warnings for themarkdownlibrary without affecting the functionality of the code. It's consistent with similar changes made in other files of this PR to address type checking issues.templates/components/routers/python/sandbox.py (2)
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178-185: LGTM! File saving logic updated correctly.The change from
save_filetoFileService.save_fileis consistent with the import statement modification. The functionality remains the same, and the implementation looks correct.
23-23: LGTM! Verify usage of new import.The change from importing
save_filetoFileServiceis consistent with the refactoring effort mentioned in the summary. This approach likely provides a more comprehensive file handling solution.To ensure the new import is used correctly throughout the file, run the following script:
✅ Verification successful
Verification Successful.
Thesave_filefunction is now correctly utilized through theFileServiceclass, with no direct references remaining.🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Verify the usage of FileService in the file # Test: Check for any remaining references to the old 'save_file' function rg 'save_file\(' templates/components/routers/python/sandbox.py # Test: Verify the usage of the new FileService class rg 'FileService\.' templates/components/routers/python/sandbox.pyLength of output: 243
templates/types/streaming/fastapi/app/services/file.py (2)
244-244: Verify the necessity of the type ignore comment.A type ignore comment has been added to the import of
LLamaCloudFileService. While this aligns with similar changes in other files, it's generally better to address type issues rather than ignore them.Could you please explain why this type ignore comment is necessary? If it's due to a circular import or a third-party library without type hints, consider alternative solutions such as:
- Restructuring the imports to avoid circular dependencies.
- Using stub files (*.pyi) to provide type information.
- Updating the third-party library or creating type stubs for it.
Line range hint
1-301: Overall code review summaryThe changes in this file are focused on addressing type-related issues by adding type ignore comments. While this approach resolves immediate type checking errors, it may not be the best long-term solution for maintaining code quality and type safety.
Recommendations:
- Investigate the root causes of these type issues and address them properly, if possible.
- If the type ignores are absolutely necessary, add comments explaining why they are needed to help future maintainers understand the context.
- Consider adding more comprehensive type hints throughout the file to improve overall type safety and code clarity.
- Ensure that the functionality of the code remains unchanged and that these type-related changes don't mask any underlying issues.
The core functionality of the
FileServiceclass and related utilities appears to be intact. However, improving type annotations and addressing the need for type ignores will enhance the long-term maintainability of this code.helpers/tools.ts (1)
173-173: Consider the implications of pinning the e2b_code_interpreter versionThe change from "^0.0.11b38" to "0.0.11b38" pins the version to an exact pre-release version. While this can prevent unexpected issues from minor updates, it also means you won't automatically get bug fixes or improvements.
Given the TODO comment and the related GitHub issue (#388), please confirm:
- Is this version pinning intentional or a temporary measure?
- What's the status of the upgrade mentioned in the GitHub issue?
- Is there a plan to move to a stable version once 0.0.11 is released?
✅ Verification successful
Version pinning for
e2b_code_interpreterconfirmedThe version has been correctly pinned to "0.0.11b38" in
helpers/tools.ts. No other usages ofe2b_code_interpreterwere found in the codebase.🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Check for any other occurrences of e2b_code_interpreter in the project rg "e2b_code_interpreter" --type tsLength of output: 219
templates/components/engines/python/agent/tools/img_gen.py (3)
Line range hint
51-58: Review the necessity of includingfiles={"none": ""}in the API requestIn the
_call_stability_apimethod, you're includingfiles={"none": ""}in therequests.postcall. Including an empty file in the request may not be necessary and could impact the request's behavior. Ensure that the API requires this parameter; otherwise, consider removing it to simplify the request.You can verify the API's requirements in the documentation or test the request without the
filesparameter to see if it functions correctly.
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23-27:_prepare_output_dirmethod is well-implementedThe
_prepare_output_dirmethod correctly ensures that the output directory exists before saving images.
Line range hint
80-81:get_toolsfunction implementation looks goodThe
get_toolsfunction is correctly implemented and effectively allows for tool retrieval with the provided keyword arguments.
Summary by CodeRabbit
New Features
askModelsparameter across various providers (Anthropic, Azure, Gemini, Groq, LLMHub, Mistral, Ollama, OpenAI).Bug Fixes
Documentation