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## Add Passio Nutrition AI Food Search Tool to Community Package ### Description We propose adding a new tool to the `community` package, enabling integration with Passio Nutrition AI for food search functionality. This tool will provide a simple interface for retrieving nutrition facts through the Passio Nutrition AI API, simplifying user access to nutrition data based on food search queries. ### Implementation Details - **Class Structure:** Implement `NutritionAI`, extending `BaseTool`. It includes an `_run` method that accepts a query string and, optionally, a `CallbackManagerForToolRun`. - **API Integration:** Use `NutritionAIAPI` for the API wrapper, encapsulating all interactions with the Passio Nutrition AI and providing a clean API interface. - **Error Handling:** Implement comprehensive error handling for API request failures. ### Expected Outcome - **User Benefits:** Enable easy querying of nutrition facts from Passio Nutrition AI, enhancing the utility of the `langchain_community` package for nutrition-related projects. - **Functionality:** Provide a straightforward method for integrating nutrition information retrieval into users' applications. ### Dependencies - `langchain_core` for base tooling support - `pydantic` for data validation and settings management - Consider `requests` or another HTTP client library if not covered by `NutritionAIAPI`. ### Tests and Documentation - **Unit Tests:** Include tests that mock network interactions to ensure tool reliability without external API dependency. - **Documentation:** Create an example notebook in `docs/docs/integrations/tools/passio_nutrition_ai.ipynb` showing usage, setup, and example queries. ### Contribution Guidelines Compliance - Adhere to the project's linting and formatting standards (`make format`, `make lint`, `make test`). - Ensure compliance with LangChain's contribution guidelines, particularly around dependency management and package modifications. ### Additional Notes - Aim for the tool to be a lightweight, focused addition, not introducing significant new dependencies or complexity. - Potential future enhancements could include caching for common queries to improve performance. ### Twitter Handle - Here is our Passio AI [twitter handle](https://twitter.com/@passio_ai) where we announce our products. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, hwchase17. |
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| .. | ||
| __init__.py | ||
| alpha_vantage.py | ||
| anthropic.py | ||
| apify.py | ||
| arcee.py | ||
| arxiv.py | ||
| astradb.py | ||
| awslambda.py | ||
| bibtex.py | ||
| bing_search.py | ||
| brave_search.py | ||
| clickup.py | ||
| dalle_image_generator.py | ||
| dataforseo_api_search.py | ||
| duckduckgo_search.py | ||
| github.py | ||
| gitlab.py | ||
| golden_query.py | ||
| google_finance.py | ||
| google_jobs.py | ||
| google_lens.py | ||
| google_places_api.py | ||
| google_scholar.py | ||
| google_search.py | ||
| google_serper.py | ||
| google_trends.py | ||
| graphql.py | ||
| jira.py | ||
| max_compute.py | ||
| merriam_webster.py | ||
| metaphor_search.py | ||
| nasa.py | ||
| nvidia_riva.py | ||
| opaqueprompts.py | ||
| openapi.py | ||
| openweathermap.py | ||
| outline.py | ||
| passio_nutrition_ai.py | ||
| pebblo.py | ||
| polygon.py | ||
| portkey.py | ||
| powerbi.py | ||
| pubmed.py | ||
| python.py | ||
| reddit_search.py | ||
| redis.py | ||
| requests.py | ||
| scenexplain.py | ||
| searchapi.py | ||
| searx_search.py | ||
| semanticscholar.py | ||
| serpapi.py | ||
| spark_sql.py | ||
| sql_database.py | ||
| stackexchange.py | ||
| steam.py | ||
| tavily_search.py | ||
| tensorflow_datasets.py | ||
| twilio.py | ||
| vertexai.py | ||
| wikidata.py | ||
| wikipedia.py | ||
| wolfram_alpha.py | ||
| you.py | ||
| zapier.py | ||