Remove model type and refactor code for Yorkie Intelligence #374
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- change default llm model to llama3.2:1b - fix typo
…eat/yorkie-intelligence
- change process to configService.get("YORKIE_INTELLIGENCE")
WalkthroughThe changes in this pull request involve modifications to the Changes
Assessment against linked issues
Possibly related PRs
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Actionable comments posted: 0
🧹 Outside diff range and nitpick comments (2)
backend/src/langchain/langchain.module.ts (2)
9-10: LGTM: Refactored to use ConfigServiceThe changes to use
ConfigServicefor retrieving theYORKIE_INTELLIGENCEvalue are well-implemented. This refactoring improves testability and aligns with NestJS best practices.Consider using strong typing for the
YORKIE_INTELLIGENCEvalue:const modelType = configService.get<string>("YORKIE_INTELLIGENCE");This will provide better type safety and improve code readability.
16-24: LGTM with suggestion: Improved chat model creation logicThe refactored logic for creating chat models is more flexible and aligns well with the PR objectives. The removal of the
modelListcheck and the dynamic extraction ofproviderandmodelfrom themodelTypestring are good improvements.Consider adding a validation step for the
modelTypestring format to improve error handling:const [provider, model] = modelType.split(/:(.+)/); if (!provider || !model) { throw new Error(`Invalid YORKIE_INTELLIGENCE format: ${modelType}. Expected format: "provider:model"`); }This will provide a more specific error message if the
modelTypestring is not in the expected format.
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📒 Files selected for processing (2)
- backend/.env.development (1 hunks)
- backend/src/langchain/langchain.module.ts (1 hunks)
🧰 Additional context used
🔇 Additional comments (4)
backend/src/langchain/langchain.module.ts (3)
5-5: LGTM: Import of ConfigModule and ConfigServiceThe addition of
ConfigModuleandConfigServiceimports is appropriate for the refactoring being done. This change supports the dependency injection pattern and aligns with the PR objective of improving usability.
32-32: LGTM: Added ConfigService injectionThe addition of
inject: [ConfigService]to thechatModelFactoryis correct and necessary for the dependency injection to work properly. This change completes the refactoring to useConfigServiceand improves the overall structure of the module.
Line range hint
1-41: Summary: Successful refactoring and alignment with PR objectivesThe changes in this file successfully address the PR objectives:
- The model type has been removed, simplifying the code structure.
- The use of
ConfigServiceimproves maintainability and aligns with NestJS best practices.- The new approach for model selection enhances flexibility and usability.
These changes contribute to a more maintainable and flexible codebase, as intended by the linked issue #366. The refactoring allows for easier updates to model specifications without directly modifying the code.
To ensure that these changes don't introduce any regressions, please run the following verification script:
This script will help ensure that the refactoring has been applied consistently across the codebase.
✅ Verification successful
Verification Successful: YORKIE_INTELLIGENCE usage is correctly refactored
The verification confirms that:
- There are no direct uses of
process.env.YORKIE_INTELLIGENCE.- All accesses to
YORKIE_INTELLIGENCEare correctly handled viaConfigService.- There are no remaining references to
ModelListormodelList.The refactoring has been consistently applied across the codebase.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Verify that YORKIE_INTELLIGENCE is correctly used across the codebase # Test 1: Check for any remaining direct uses of process.env.YORKIE_INTELLIGENCE echo "Checking for direct uses of process.env.YORKIE_INTELLIGENCE:" rg --type typescript "process\.env\.YORKIE_INTELLIGENCE" # Test 2: Verify correct usage of ConfigService for YORKIE_INTELLIGENCE echo "Verifying correct usage of ConfigService for YORKIE_INTELLIGENCE:" rg --type typescript "configService\.get\(['\"]YORKIE_INTELLIGENCE['\"]\)" # Test 3: Check for any remaining references to the old ModelList or modelList echo "Checking for any remaining references to ModelList or modelList:" rg --type typescript "ModelList|modelList"Length of output: 700
Script:
#!/bin/bash # Description: Verify that YORKIE_INTELLIGENCE is correctly used across the codebase with updated file search # Test 1: Check for any remaining direct uses of process.env.YORKIE_INTELLIGENCE echo "Checking for direct uses of process.env.YORKIE_INTELLIGENCE:" rg --glob '*.ts' --glob '*.tsx' "process\.env\.YORKIE_INTELLIGENCE" # Test 2: Verify correct usage of ConfigService for YORKIE_INTELLIGENCE echo "Verifying correct usage of ConfigService for YORKIE_INTELLIGENCE:" rg --glob '*.ts' --glob '*.tsx' "configService\.get\(['\"]YORKIE_INTELLIGENCE['\"]\)" # Test 3: Check for any remaining references to the old ModelList or modelList echo "Checking for any remaining references to ModelList or modelList:" rg --glob '*.ts' --glob '*.tsx' "ModelList|modelList"Length of output: 844
backend/.env.development (1)
47-47: Verify impact of new default model and update documentationThe change from "ollama:gemma2:2b" to "ollama:llama3.2:1b" aligns with the PR objective of updating the default model. However, there are a few points to consider:
- The new model (llama3.2:1b) is not explicitly mentioned in the comment above. Please update the comment to include this option.
- It would be helpful to provide information about why this model was chosen and how it affects performance or functionality compared to the previous default.
To ensure this change doesn't negatively impact the system, please run the following verification:
Could you please provide more information about the rationale behind choosing this new default model and any expected changes in performance or functionality?
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Actionable comments posted: 0
🧹 Outside diff range and nitpick comments (3)
backend/src/langchain/langchain.module.ts (3)
10-10: LGTM: Improved configuration retrievalThe use of
configService.get("YORKIE_INTELLIGENCE")instead of directly accessingprocess.envis a good practice. It centralizes configuration management and improves testability.Consider using a type-safe approach by defining a configuration interface and using
configService.get<string>("YORKIE_INTELLIGENCE")to ensure type safety.
16-22: LGTM: ChatOllama initialization refactoredThe refactoring of the ChatOllama initialization to use ConfigService for retrieving the baseUrl is a good improvement. It centralizes configuration management and aligns with the PR objectives.
Consider extracting the ChatOllama options into a separate configuration object for better readability:
const ollamaOptions = { model, baseUrl: configService.get("OLLAMA_HOST_URL"), checkOrPullModel: true, streaming: true, }; chatModel = new ChatOllama(ollamaOptions);
Line range hint
1-43: Overall: Successful refactoring and alignment with PR objectivesThe changes in this file successfully refactor the
LangchainModuleto useConfigServicefor configuration management. This refactoring aligns well with the PR objectives of removing the model type and improving usability. Key improvements include:
- Centralized configuration management using
ConfigService.- Simplified model type handling by removing the
modelList.- Improved testability and maintainability of the code.
- Proper setup of dependency injection for
ConfigService.These changes contribute to a more robust and flexible architecture for the Yorkie Intelligence feature. The code is now more maintainable and aligns better with NestJS best practices.
Consider creating a separate configuration file for Yorkie Intelligence settings to further improve modularity and make it easier to manage and update configuration options in the future.
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📒 Files selected for processing (1)
- backend/src/langchain/langchain.module.ts (2 hunks)
🧰 Additional context used
🔇 Additional comments (3)
backend/src/langchain/langchain.module.ts (3)
5-5: LGTM: ConfigService import addedThe addition of the ConfigService import is appropriate for the refactoring being done. This change aligns with the PR objective of improving usability by centralizing configuration management.
9-9: LGTM: useFactory updated to use ConfigServiceThe modification of the useFactory signature to accept ConfigService as a parameter is a good refactoring step. This change enables centralized configuration management and aligns with dependency injection principles, improving the overall architecture of the module.
34-34: LGTM: Dependency injection properly configuredThe addition of the
inject: [ConfigService]property to the chatModelFactory is correct and necessary. This ensures that the ConfigService is properly injected into the useFactory function, completing the dependency injection setup.
What this PR does / why we need it?
This PR removes the model type from the codebase and performs a refactor for improved clarity and performance. Additionally, it updates the default model for Yorkie Intelligence, which includes modifying the environment settings.
Any background context you want to provide?
The removal of the model type simplifies the architecture and reduces complexity in handling data structures. This change aims to streamline the code and improve maintainability. The adjustments in the environment also ensure that the new default model for Yorkie Intelligence aligns with the latest project requirements.
What are the relevant tickets?
Fixes #366
Checklist
Summary by CodeRabbit
Summary by CodeRabbit