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langchain/libs/community
Ishani Vyas 2b0cbd65ba
community[patch]: Add Passio Nutrition AI Food Search Tool to Community Package (#18278)
## 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.
7 months ago
..
langchain_community community[patch]: Add Passio Nutrition AI Food Search Tool to Community Package (#18278) 7 months ago
scripts infra: add print rule to ruff (#16221) 8 months ago
tests community[patch]: Add Passio Nutrition AI Food Search Tool to Community Package (#18278) 7 months ago
Makefile community[minor]: add Kinetica LLM wrapper (#17879) 7 months ago
README.md Batch update of alt text and title attributes for images in md/mdx files across repo (#15357) 9 months ago
poetry.lock community[minor]: Integration for `Friendli` LLM and `ChatFriendli` ChatModel. (#17913) 7 months ago
pyproject.toml community[minor]: Integration for `Friendli` LLM and `ChatFriendli` ChatModel. (#17913) 7 months ago

README.md

🦜🧑‍🤝‍🧑 LangChain Community

Downloads License: MIT

Quick Install

pip install langchain-community

What is it?

LangChain Community contains third-party integrations that implement the base interfaces defined in LangChain Core, making them ready-to-use in any LangChain application.

For full documentation see the API reference.

Diagram outlining the hierarchical organization of the LangChain framework, displaying the interconnected parts across multiple layers.

📕 Releases & Versioning

langchain-community is currently on version 0.0.x

All changes will be accompanied by a patch version increase.

💁 Contributing

As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.

For detailed information on how to contribute, see the Contributing Guide.