feat: Make suggest next questions configurable #275
Conversation
🦋 Changeset detectedLatest commit: 06a201e The changes in this PR will be included in the next version bump. This PR includes changesets to release 1 package
Not sure what this means? Click here to learn what changesets are. Click here if you're a maintainer who wants to add another changeset to this PR |
WalkthroughThe changes introduce an environment configuration for managing the "next questions" functionality, enhance the handling of environment variables in the Changes
Assessment against linked issues
Tip New featuresWalkthrough comment now includes:
Notes:
Thank you for using CodeRabbit. We offer it for free to the OSS community and would appreciate your support in helping us grow. If you find it useful, would you consider giving us a shout-out on your favorite social media? TipsChatThere are 3 ways to chat with CodeRabbit:
Note: Be mindful of the bot's finite context window. It's strongly recommended to break down tasks such as reading entire modules into smaller chunks. For a focused discussion, use review comments to chat about specific files and their changes, instead of using the PR comments. CodeRabbit Commands (Invoked using PR comments)
Other keywords and placeholders
CodeRabbit Configuration File (
|
![coderabbitai[bot]](https://avatars.githubusercontent.com/in/347564?s=60&v=4){kind=small}
There was a problem hiding this comment.
Actionable comments posted: 6
Outside diff range, codebase verification and nitpick comments (1)
helpers/env-variables.ts (1)
490-511: Missing Usage ofNEXT_QUESTION_ENABLEThe
NEXT_QUESTION_ENABLEenvironment variable is defined but not used in the codebase. This variable is intended to control the display of next question suggestions, but without any implementation, it cannot serve its purpose.
- Ensure that
NEXT_QUESTION_ENABLEis checked in the relevant parts of the application where next question suggestions are generated or displayed. This might involve adding conditional logic to enable or disable the feature based on the variable's value.Analysis chain
Review: Enhanced Configuration for Next Question Suggestions
The changes introduced in the
getTemplateEnvsfunction are significant as they aim to address the issue outlined in PR #275 and linked issue #244. The addition of thenextQuestionEnvsarray with environment variablesNEXT_QUESTION_ENABLEandNEXT_QUESTION_PROMPTis a strategic enhancement to make the next question suggestion feature configurable.Observations:
- The implementation uses a straightforward approach to add these environment variables if the template is either "multiagent" or "streaming".
- The default prompt provided in
NEXT_QUESTION_PROMPTis detailed and seems to align well with the intended functionality of suggesting follow-up questions based on conversation history.Suggestions:
- Ensure that the default values and descriptions are clear and informative for end-users or developers who will configure these settings.
- Consider adding validation or error handling to check the integrity of the
templateparameter to ensure it only allows valid values that the system expects.- It might be beneficial to add a unit test to verify that the correct environment variables are returned based on different template inputs.
Overall:
The changes are aligned with the PR objectives and should provide the necessary functionality to control the next question suggestion feature dynamically. This should help in resolving the validation error encountered as described in the linked issue.It would be prudent to verify that these new environment variables are being correctly utilized in the parts of the application that generate the next questions. This can ensure that the integration is seamless and functional.
Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Verify the usage of NEXT_QUESTION_ENABLE and NEXT_QUESTION_PROMPT in the application. # Test: Search for the usage of the new environment variables. Expect: Proper handling and usage in the code. rg --type ts -A 5 $'NEXT_QUESTION_ENABLE|NEXT_QUESTION_PROMPT'Length of output: 2336
Script:
#!/bin/bash # Description: Verify the usage of NEXT_QUESTION_ENABLE in the application. # Test: Search for the usage of the NEXT_QUESTION_ENABLE environment variable. Expect: Proper handling and usage in the code. rg --type ts -A 5 'NEXT_QUESTION_ENABLE'Length of output: 360
Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
Files selected for processing (9)
- .changeset/cyan-buttons-clean.md (1 hunks)
- helpers/env-variables.ts (1 hunks)
- helpers/python.ts (1 hunks)
- templates/components/services/python/file.py (1 hunks)
- templates/components/services/python/suggestion.py (1 hunks)
- templates/types/multiagent/fastapi/app/api/routers/vercel_response.py (2 hunks)
- templates/types/multiagent/fastapi/pyproject.toml (1 hunks)
- templates/types/streaming/fastapi/app/api/routers/vercel_response.py (2 hunks)
- templates/types/streaming/fastapi/pyproject.toml (1 hunks)
Files skipped from review due to trivial changes (2)
- .changeset/cyan-buttons-clean.md
- templates/types/streaming/fastapi/pyproject.toml
Additional comments not posted (4)
templates/types/multiagent/fastapi/pyproject.toml (1)
19-19: Dependency Addition Approved:pydantic-settingsThe addition of
pydantic-settingswith the version constraint^2.4.0is appropriate. This will help in managing application settings more robustly using Pydantic's features.templates/components/services/python/suggestion.py (2)
14-28: Class Implementation Approved:NextQuestionSettingsThe implementation of
NextQuestionSettingsis robust, utilizing Pydantic'sBaseSettingsfor environment-based configuration. The default values and thepromptproperty method are correctly implemented.
33-37: Class Implementation Approved:NextQuestionsThe
NextQuestionsclass is correctly implemented as a simple data model using Pydantic'sBaseModel. It appropriately defines a list of strings to store the next questions.templates/types/multiagent/fastapi/app/api/routers/vercel_response.py (1)
10-12: Review of imports and new dependenciesThe imports at lines 10 and 12 introduce dependencies on
Messagefromapp.api.routers.modelsandNextQuestionSuggestionfromapp.api.services.suggestion. These are crucial for the new functionality related to generating next questions based on conversation history. Ensure that these modules are properly documented and tested, especially since they play a significant role in the new feature.
templates/types/streaming/fastapi/app/api/routers/vercel_response.py
Outdated
Show resolved
Hide resolved
templates/types/multiagent/fastapi/app/api/routers/vercel_response.py
Outdated
Show resolved
Hide resolved
There was a problem hiding this comment.
Actionable comments posted: 0
Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
Files selected for processing (1)
- templates/types/multiagent/fastapi/app/api/routers/vercel_response.py (2 hunks)
Files skipped from review as they are similar to previous changes (1)
- templates/types/multiagent/fastapi/app/api/routers/vercel_response.py
There was a problem hiding this comment.
Actionable comments posted: 2
Outside diff range, codebase verification and nitpick comments (3)
templates/components/services/python/suggestion.py (2)
21-23: Class method conversion approved.The conversion of
get_configured_promptto a class method is appropriate as it aligns with its usage pattern. It correctly fetches the environment variable for the next question prompt.Consider adding a default value for the environment variable to ensure that there is a fallback prompt if none is configured.
Line range hint
25-60: Enhanced robustness insuggest_next_questions.The updates to
suggest_next_questionsimprove its robustness by handling cases where the prompt is not configured and by returningNonein error scenarios. The use of the last two messages to generate questions is a good optimization.Consider enhancing error handling by possibly retrying the operation or providing more detailed error information to the caller.
templates/types/streaming/fastapi/app/api/routers/vercel_response.py (1)
59-73: Conditional generation of next questions approved.The modifications to
_chat_response_generatorto conditionally generate next questions based on the configuration ofNextQuestionSuggestionare well-implemented. This optimizes performance and enhances user experience by not unnecessarily attempting to generate questions.Consider adding a comment before the conditional block to explain why the check for the configured prompt is necessary. This can improve code readability and maintainability.
Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
Files selected for processing (4)
- helpers/env-variables.ts (2 hunks)
- templates/components/services/python/suggestion.py (3 hunks)
- templates/types/multiagent/fastapi/app/api/routers/vercel_response.py (2 hunks)
- templates/types/streaming/fastapi/app/api/routers/vercel_response.py (1 hunks)
templates/types/multiagent/fastapi/app/api/routers/vercel_response.py
Outdated
Show resolved
Hide resolved
helpers/env-variables.ts
Outdated
| const getTemplateEnvs = ( | ||
| template?: TemplateType, | ||
| framework?: TemplateFramework, | ||
| ): EnvVar[] => { | ||
| const nextQuestionEnvs: EnvVar[] = [ | ||
| { | ||
| name: "NEXT_QUESTION_PROMPT", | ||
| description: `Customize prompt to generate the next question suggestions based on the conversation history. | ||
| Disable this prompt to disable the next question suggestions feature.`, | ||
| value: `"You're a helpful assistant! Your task is to suggest the next question that user might ask. | ||
| Here is the conversation history | ||
| ---------------------\n{conversation}\n--------------------- | ||
| Given the conversation history, please give me 3 questions that you might ask next!"`, | ||
| }, | ||
| ]; | ||
|
|
||
| if ( | ||
| framework === "fastapi" && | ||
| (template === "multiagent" || template === "streaming") | ||
| ) { | ||
| return nextQuestionEnvs; | ||
| } | ||
| return []; |
There was a problem hiding this comment.
Review of getTemplateEnvs function modifications
The modifications to the getTemplateEnvs function introduce a new environment variable NEXT_QUESTION_PROMPT and extend the function's capability to handle different templates. Here are some observations and suggestions:
-
Correctness: The function correctly checks for the
frameworkandtemplateconditions before returning thenextQuestionEnvs. This ensures that the environment variables are only added when necessary, which is good for avoiding unnecessary configuration in other scenarios. -
Maintainability: The function is straightforward and maintains readability with clear condition checks and structured environment variable definitions. However, consider adding more comments explaining why only "multiagent" and "streaming" templates are considered here.
-
Performance: There are no performance concerns with the current implementation as the operations are primarily conditional checks and array manipulations.
-
Best Practices: The use of template literals and structured data for environment variables is a good practice. It keeps the code clean and easy to understand.
-
Potential Improvements:
- Extensibility: If more templates or conditions are expected in the future, consider refactoring this into a more scalable solution, such as using a mapping object or a switch-case structure to handle different templates.
- Error Handling: Currently, the function does not handle potential errors or unexpected values for
templateorframework. Adding error logging or warnings for unexpected values could improve robustness.
Overall, the changes align well with the PR objectives and improve the configurability of the next questions feature.
Consider the following refactor for future extensibility and error handling:
// Potential refactor for handling multiple templates with error logging
const TEMPLATE_ENV_CONFIGS = {
multiagent: nextQuestionEnvs,
streaming: nextQuestionEnvs,
// Add more templates as needed
};
function getTemplateEnvs(template?: TemplateType, framework?: TemplateFramework): EnvVar[] {
if (framework === "fastapi" && TEMPLATE_ENV_CONFIGS[template]) {
return TEMPLATE_ENV_CONFIGS[template];
} else {
console.warn(`Unsupported template or framework: ${template}, ${framework}`);
return [];
}
}
There was a problem hiding this comment.
Actionable comments posted: 2
Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
Files selected for processing (2)
- helpers/env-variables.ts (1 hunks)
- templates/components/services/python/suggestion.py (1 hunks)
Additional comments not posted (3)
templates/components/services/python/suggestion.py (3)
13-18: Class Documentation and Structure ApprovedThe class
NextQuestionSuggestionis well-documented and structured. The explanation of how to disable the feature is clear and helpful.
19-24: Method Implementation ApprovedThe method
get_configured_promptcorrectly retrieves and uses the environment variable. The handling of the absence of the variable by returningNoneis appropriate.
62-66: Verify Output Format and Consider More Robust ParsingThe method
_extract_questionsuses regex to parse the output, which assumes a specific format. Verify that this format is consistently provided by the LLM. Consider implementing a more robust parsing mechanism to handle potential variations in the output format.
There was a problem hiding this comment.
Actionable comments posted: 3
Outside diff range, codebase verification and nitpick comments (1)
templates/components/llamaindex/typescript/streaming/suggestion.ts (1)
Line range hint
17-28: Error Handling: Improve error logging detail.While the error handling mechanism catches exceptions and logs them, consider enhancing the log message to include more context about the error, such as the input prompt or conversation history, to aid in debugging.
Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
Files selected for processing (4)
- helpers/env-variables.ts (1 hunks)
- templates/components/llamaindex/typescript/streaming/suggestion.ts (1 hunks)
- templates/components/services/python/suggestion.py (1 hunks)
- templates/types/streaming/fastapi/pyproject.toml (1 hunks)
Files skipped from review as they are similar to previous changes (2)
- helpers/env-variables.ts
- templates/types/streaming/fastapi/pyproject.toml
Additional comments not posted (3)
templates/components/llamaindex/typescript/streaming/suggestion.ts (1)
14-17: Code Quality: Simplify prompt replacement logic.The logic to replace the
$conversationplaceholder in the prompt is straightforward and effective. This change maintains readability and reduces complexity in constructing the prompt.templates/components/services/python/suggestion.py (2)
13-24: Class Implementation: Well-structured and configurable.The
NextQuestionSuggestionclass is well-structured and makes effective use of environment variables for configuration. Ensure that the environment variableNEXT_QUESTION_PROMPTis documented and validated during application startup to prevent runtime issues.
62-66: Method Implementation: Efficient text parsing with regex.The method
_extract_questionsuses regex to efficiently parse the output text. Ensure that the regex pattern is thoroughly tested to handle various edge cases in the LLM output.
marcusschiesser
force-pushed
the
lee/fix-suggest-questions
branch
from
259daba to
37fd59d
Compare
There was a problem hiding this comment.
Caution
Inline review comments failed to post
Actionable comments posted: 2
Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
Files selected for processing (3)
- templates/types/multiagent/fastapi/app/api/routers/vercel_response.py (3 hunks)
- templates/types/multiagent/fastapi/app/api/services/suggestion.py (2 hunks)
- templates/types/streaming/fastapi/app/api/routers/vercel_response.py (4 hunks)
Files skipped from review as they are similar to previous changes (1)
- templates/types/streaming/fastapi/app/api/routers/vercel_response.py
Additional comments not posted (2)
templates/types/multiagent/fastapi/app/api/services/suggestion.py (1)
Line range hint
29-61: Approve method changes but verify integration.The refactoring of
suggest_next_questions_all_messagesto handle all messages is approved. The method efficiently constructs the conversation history and handles errors appropriately.However, ensure that the integration with external settings (
Settings.llm.astructured_predict) and the prompt template (NEXT_QUESTIONS_SUGGESTION_PROMPT) is correctly configured and tested.Run the following script to verify the integration with external dependencies:
Verification successful
Integration with External Dependencies Verified
The integration of
Settings.llm.astructured_predictandNEXT_QUESTIONS_SUGGESTION_PROMPTin thesuggest_next_questions_all_messagesmethod is correctly configured and used. The prompt template is well-defined, and the method call includes the necessary arguments. No issues were found with the integration.
Settings.llm.astructured_predictis used with the correct prompt and arguments.NEXT_QUESTIONS_SUGGESTION_PROMPTis defined as aPromptTemplatewith appropriate placeholders.Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Verify the integration with external settings and prompt templates. # Test: Search for the usage of `Settings.llm.astructured_predict` and `NEXT_QUESTIONS_SUGGESTION_PROMPT`. Expect: Correct configuration and usage. rg --type python -A 5 $'Settings.llm.astructured_predict' rg --type python -A 5 $'NEXT_QUESTIONS_SUGGESTION_PROMPT'Length of output: 175
Script:
#!/bin/bash # Description: Verify the integration with external settings and prompt templates using corrected rg syntax. # Test: Search for the usage of `Settings.llm.astructured_predict` and `NEXT_QUESTIONS_SUGGESTION_PROMPT`. Expect: Correct configuration and usage. rg --type py -A 5 $'Settings.llm.astructured_predict' rg --type py -A 5 $'NEXT_QUESTIONS_SUGGESTION_PROMPT'Length of output: 2153
templates/types/multiagent/fastapi/app/api/routers/vercel_response.py (1)
104-109: Approve method modification.The change to make
_event_to_responsea static method is approved. The method correctly handles the construction of the response dictionary, ensuring consistent and reusable event handling.
Comments failed to post (2)
templates/types/multiagent/fastapi/app/api/services/suggestion.py (1)
62-74: Approve new method with a suggestion for unit tests.
The addition of
suggest_next_questionsis approved. The method effectively reuses existing functionality and handles the input parameters correctly.Consider adding unit tests to cover scenarios where the chat history and responses vary to ensure robustness and correctness of the suggestions generated.
Would you like me to help with implementing the unit tests or to create a GitHub issue for this task?
templates/types/multiagent/fastapi/app/api/routers/vercel_response.py (1)
111-121: Approve new method with a suggestion for error handling.
The addition of
_generate_next_questionsis approved. The method correctly uses the newsuggest_next_questionsmethod to generate follow-up questions based on the chat history and response.Consider adding error handling to manage potential exceptions from the
suggest_next_questionscall, ensuring that the application remains robust in case of errors.Would you like me to help with implementing the error handling or to create a GitHub issue for this task?
marcusschiesser
force-pushed
the
lee/fix-suggest-questions
branch
from
37fd59d to
9b788f4
Compare
There was a problem hiding this comment.
Actionable comments posted: 0
Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
Files selected for processing (3)
- templates/components/services/python/suggestion.py (1 hunks)
- templates/types/multiagent/fastapi/app/api/routers/vercel_response.py (3 hunks)
- templates/types/streaming/fastapi/app/api/routers/vercel_response.py (4 hunks)
Files skipped from review as they are similar to previous changes (2)
- templates/components/services/python/suggestion.py
- templates/types/streaming/fastapi/app/api/routers/vercel_response.py
Additional comments not posted (3)
templates/types/multiagent/fastapi/app/api/routers/vercel_response.py (3)
60-77: Enhanced response generation with next question suggestionThe modifications in the
content_generatormethod from lines 60 to 77 introduce logic to handle responses differently based on the type of result (AgentRunResultorAsyncGenerator). The addition of generating next questions based on the conversation history is a significant enhancement.
- Correctness: The use of
final_responseto accumulate responses and the conditional check fornext_question_settings.enableare correctly implemented. However, ensure thatnext_question_settingsis robustly defined and fails gracefully if not properly configured.- Performance: Consider the implications of string concatenation in Python, which can be inefficient for large strings. Using a list to collect strings and joining them at the end might be more efficient.
- Error Handling: The method should handle potential exceptions from
NextQuestionSuggestion.suggest_next_questionsgracefully, possibly with a try-except block.- Maintainability: The method is relatively clear, but adding more inline comments explaining why certain decisions were made (e.g., why messages are appended in a certain way) would improve maintainability.
Consider adding unit tests specifically for this method to cover various scenarios, including edge cases where
resultmight not fit expected types.Would you like me to help with implementing the suggested improvements or to create a GitHub issue for adding unit tests?
104-121: Addition of_generate_next_questionsmethodThe new method
_generate_next_questionsintroduced in lines 111 to 121 is crucial for generating follow-up questions based on the conversation history. This method is well-implemented with clear asynchronous handling and proper use of theNextQuestionSuggestionservice.
- Correctness: The method correctly checks if questions are available and returns a structured response if so. The return of
Nonewhen no questions are available is also handled appropriately.- Performance: The method is efficient in its current form, but consider caching results if the generation of questions is computationally expensive.
- Error Handling: Ensure that the
NextQuestionSuggestion.suggest_next_questionscall is robust against failures. Consider adding a try-except block to handle potential exceptions gracefully.- Maintainability: The method is concise and clear. Adding a few comments describing the expected format of
questionsmight enhance understanding for future maintainers.Overall, this method is a valuable addition to the application, enhancing its interactivity by providing relevant follow-up questions.
104-109: Refactor of_event_to_responseto static methodThe change from a regular method to a static method in
_event_to_responsefrom lines 104 to 109 is a good practice as it does not depend on the instance state. This makes the method more modular and easier to test.
- Correctness: The method correctly formats the response based on the event data.
- Maintainability: This change improves the maintainability by making the method more self-contained and easier to reuse in different contexts.
This refactor is approved as it aligns with best practices in software development.
There was a problem hiding this comment.
Actionable comments posted: 1
Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
Files selected for processing (2)
- helpers/env-variables.ts (1 hunks)
- templates/components/llamaindex/typescript/streaming/suggestion.ts (1 hunks)
Files skipped from review as they are similar to previous changes (1)
- templates/components/llamaindex/typescript/streaming/suggestion.ts
Additional comments not posted (1)
helpers/env-variables.ts (1)
513-513: Verify Error Handling in File OperationsThe
createBackendEnvFilefunction performs file operations which can potentially fail. Ensure that there are adequate error handling mechanisms in place to catch and log file system errors. This is crucial for debugging and maintaining the robustness of the application.Consider wrapping the file operation in a try-catch block and logging any errors that occur:
try { await fs.writeFile(path.join(root, envFileName), content); console.log(`Created '${envFileName}' file. Please check the settings.`); } catch (error) { console.error(`Failed to write environment file: ${error}`); }
Fix: #244
Summary by CodeRabbit
New Features
Bug Fixes
Documentation
pydantic-settingsfor enhanced configuration management.