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- Added `provide_nlp_assistance` function in `google_ai.py` with a detailed NLP persona. - Added `/api/v1/nlp/assistance` API endpoint in `app.py`. - Added NLP Specialist section and navigation link in `frontend/templates/index.html`. - Implemented frontend logic for the NLP role in `frontend/static/js/script.js`. - Updated Spanish translations for the new role. Co-authored-by: GYFX35 <134739293+GYFX35@users.noreply.github.com>
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Reviewer's GuideAdds a new NLP Specialist role end-to-end: frontend UI section and navigation, client-side JS handler, backend Flask API endpoint, Vertex AI integration, and translation strings for i18n. Sequence diagram for the new NLP Specialist assistance flowsequenceDiagram
actor User
participant Browser
participant FlaskApp
participant GoogleAIModule
participant VertexAI
User->>Browser: Click nlp_btn
Browser->>Browser: Read nlp_input
Browser->>User: Prompt for API key
User-->>Browser: Enter API key
Browser->>FlaskApp: POST /api/v1/nlp/assistance
activate FlaskApp
FlaskApp->>FlaskApp: require_api_key validation
FlaskApp->>FlaskApp: Parse JSON, get prompt
FlaskApp->>GoogleAIModule: provide_nlp_assistance(prompt)
activate GoogleAIModule
GoogleAIModule->>VertexAI: generate_content(generation_prompt)
activate VertexAI
VertexAI-->>GoogleAIModule: NLP response text
deactivate VertexAI
GoogleAIModule-->>FlaskApp: message
deactivate GoogleAIModule
FlaskApp-->>Browser: 200 JSON {status, message}
deactivate FlaskApp
Browser->>Browser: Parse JSON
Browser-->>User: Render message in nlp_response
alt Missing prompt
FlaskApp-->>Browser: 400 JSON {error Prompt_is_required}
Browser-->>User: Show error in nlp_response
end
alt Non_ok_response
FlaskApp-->>Browser: Error JSON {error}
Browser->>Browser: Throw Error
Browser-->>User: Show Error in nlp_response
end
Class diagram for NLP Specialist backend componentsclassDiagram
class FlaskApp {
+nlp_assistance_endpoint()
}
class GoogleAIModule {
+provide_nlp_assistance(prompt)
}
class VertexAIModel {
+generate_content(prompt)
}
FlaskApp --> GoogleAIModule : uses
GoogleAIModule --> VertexAIModel : calls
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Hey - I've left some high level feedback:
- The new NLP JS flow introduces hard-coded user-facing strings (e.g., the API key prompt and 'API key is required.') that bypass the existing i18n system; consider moving these into translatable resources to keep localization consistent with the rest of the app.
- In the NLP assistance endpoint, you return a localized error message when the prompt is missing but the frontend assumes a JSON body with an 'error' field for non-OK responses; it may be safer to standardize the error response shape (status/error/message) across endpoints to simplify client handling.
Prompt for AI Agents
Please address the comments from this code review:
## Overall Comments
- The new NLP JS flow introduces hard-coded user-facing strings (e.g., the API key prompt and 'API key is required.') that bypass the existing i18n system; consider moving these into translatable resources to keep localization consistent with the rest of the app.
- In the NLP assistance endpoint, you return a localized error message when the prompt is missing but the frontend assumes a JSON body with an 'error' field for non-OK responses; it may be safer to standardize the error response shape (status/error/message) across endpoints to simplify client handling.Help me be more useful! Please click 👍 or 👎 on each comment and I'll use the feedback to improve your reviews.
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| Status | Name | Latest Commit | Updated (UTC) |
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aiservices | 99a57c4 | Feb 25 2026, 07:35 AM |
This change adds a new 'Natural Language Processing (NLP) Specialist' role to the application. The new role is integrated into the backend (Vertex AI prompt and Flask endpoint) and the frontend (UI section, navigation, and JS handling). I also ensured that translations are updated and existing translations are preserved.
PR created automatically by Jules for task 10186011041746294436 started by @GYFX35
Summary by Sourcery
Add a new NLP Specialist capability across the backend API and frontend UI to provide NLP-focused assistance to users.
New Features:
Documentation: