Use FirebaseFirestore with AI Agents

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Firebase is a comprehensive app development platform that provides a suite of tools and services for building, testing, and deploying mobile and web applications. Firestore is a NoSQL document database that is part of the Firebase platform, providing a flexible, scalable database for mobile, web, and server development.

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🔗 Connect and Use FirebaseFirestore

1. 🔑 Connect your FirebaseFirestor

2. ✅ Select an action

3. 🚀 Go live with the agent

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API actions for FirebaseFirestore for AI assitants/agents

Language

PYTHON

Framework

Create Document

Creates a new document in a specified Firestore collection.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.CREATE_DOCUMENT])

Update Document

Updates an existing document in a Firestore collection.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.UPDATE_DOCUMENT])

Delete Document

Deletes a specific document from a Firestore collection.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.DELETE_DOCUMENT])

Get Document

Retrieves a specific document from a Firestore collection.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.GET_DOCUMENT])

Query Documents

Queries documents in a Firestore collection based on specified criteria.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.QUERY_DOCUMENTS])

Add Field To Document

Adds a new field to an existing document in Firestore.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.ADD_FIELD_TO_DOCUMENT])

Remove Field From Document

Removes a specific field from a document in Firestore.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.REMOVE_FIELD_FROM_DOCUMENT])

Batch Write

Performs multiple write operations as a single atomic unit.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.BATCH_WRITE])

Create Collection

Creates a new collection in Firestore.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.CREATE_COLLECTION])

Delete Collection

Deletes an entire collection and all its documents from Firestore.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.DELETE_COLLECTION])

Set Document

Creates or replaces a document with the specified data.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.SET_DOCUMENT])

Increment Field

Increments a numeric field in a Firestore document by a specified amount.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.INCREMENT_FIELD])

Array Union

Adds elements to an array field in a Firestore document.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.ARRAY_UNION])

Array Remove

Removes elements from an array field in a Firestore document.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.ARRAY_REMOVE])

Get Collection

Retrieves all documents in a specified Firestore collection.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.GET_COLLECTION])

Document Created

Triggers when a new document is created in a specified Firestore collection.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.DOCUMENT_CREATED])

Document Updated

Triggers when an existing document is updated in a Firestore collection.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.DOCUMENT_UPDATED])

Document Deleted

Triggers when a document is deleted from a Firestore collection.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.DOCUMENT_DELETED])

Document Written

Triggers on any write operation (create, update, or delete) in a Firestore collection.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.DOCUMENT_WRITTEN])

Query Results Changed

Triggers when the results of a specified query change in Firestore.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.QUERY_RESULTS_CHANGED])

Field Value Changed

Triggers when a specific field's value changes in a Firestore document.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.FIELD_VALUE_CHANGED])

Document Field Added

Triggers when a new field is added to a document in Firestore.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.DOCUMENT_FIELD_ADDED])

Document Field Removed

Triggers when a field is removed from a document in Firestore.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.DOCUMENT_FIELD_REMOVED])

Collection Empty

Triggers when a Firestore collection becomes empty (all documents deleted).

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.COLLECTION_EMPTY])

Document Count Threshold

Triggers when the number of documents in a collection reaches a specified threshold.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.DOCUMENT_COUNT_THRESHOLD])

Scheduled Query

Triggers a specified Firestore query at scheduled intervals.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.SCHEDULED_QUERY])

Document Attribute Matches

Triggers when a document's attribute matches a specified condition.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.DOCUMENT_ATTRIBUTE_MATCHES])

Collection Created

Triggers when a new collection is created in Firestore.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.COLLECTION_CREATED])

Collection Deleted

Triggers when a collection is deleted from Firestore.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.COLLECTION_DELETED])

Document Snapshot

Triggers to capture a snapshot of a document at a specific point in time.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.DOCUMENT_SNAPSHOT])

Frequently asked questions

What is Composio.dev?

Composio.dev is a platform for building AI applications, designed to make the process of developing AI solutions super easy and fun! It provides a comprehensive set of tools and libraries that simplify the process of developing AI solutions, allowing you to focus on the creative aspects of your project without getting bogged down by the technical details.

How does Composio.dev support FirebaseFirestore?

Composio.dev seamlessly integrates with FirebaseFirestore, allowing you to leverage its capabilities within the Composio.dev platform. You can utilize FirebaseFirestore to call functions across various platforms, including Google, GitHub, and others, making it a breeze to incorporate different services into your AI applications. Additionally, it supports user authentication via OAuth2 and can work in conjunction with other popular frameworks like LangChain and CrewAI, giving you the flexibility to build truly innovative AI solutions.

What models can I use with FirebaseFirestore?

With FirebaseFirestore, you have access to a wide range of state-of-the-art language models, including GPT-4o (OpenAI), GPT-3.5 (OpenAI), GPT-4 (OpenAI), Claude (Anthropic), PaLM (Google), LLaMA and LLaMA 2 (Meta), Gemini, and many others. This flexibility allows you to choose the model that best suits your specific use case, whether you're building a chatbot, a content creation tool, or any other AI-powered application. You can experiment with different models and find the one that delivers the best performance for your project.

How can I integrate FirebaseFirestore into my project?

Composio.dev provides a seamless integration for FirebaseFirestore, making it super easy to incorporate this powerful framework into your projects. You can leverage the Composio.dev API to call functions from FirebaseFirestore, allowing you to tap into its capabilities with just a few lines of code. The SDK is available in Python, JavaScript, and TypeScript, so you can work with your preferred programming language and integrate FirebaseFirestore into your projects seamlessly.

What is the pricing for FirebaseFirestore?

FirebaseFirestore is completely free to use, with a generous free tier that allows up to 1000 requests per month. This makes it accessible for developers and organizations of all sizes to explore and experiment with this powerful tool without any upfront costs. Whether you're a student working on a personal project or a startup building the next big thing, you can get started with FirebaseFirestore without worrying about breaking the bank.

What kind of authentication is supported for FirebaseFirestore?

FirebaseFirestore supports OAuth2 authentication, ensuring secure and authorized access to its functionalities. You can leverage the Composio.dev API to handle authentication and call functions from FirebaseFirestore seamlessly. The SDK is available in Python, JavaScript, and TypeScript for your convenience, making it easy to integrate authentication into your projects and keep your users' data safe and secure.

Can I add FirebaseFirestore to my project?

Absolutely! You can easily incorporate FirebaseFirestore into your project by utilizing the Composio.dev API. This API allows you to call functions from FirebaseFirestore, enabling you to leverage its capabilities within your application. The SDK is available in Python, JavaScript, and TypeScript to facilitate integration, so you can work with the language you're most comfortable with and add FirebaseFirestore to your project with ease.

What is the accuracy of FirebaseFirestore?

FirebaseFirestore is designed to provide highly accurate and reliable results, ensuring that your AI applications perform at their best. The integration with Composio.dev ensures precise function calls, enabling you to build robust and powerful AI applications with confidence. FirebaseFirestore's comprehensive framework and the ability to leverage state-of-the-art models ensure reliable and accurate outcomes for your AI development needs, whether you're working on a chatbot, a content creation tool, or any other AI-powered project.

What are some common use cases for FirebaseFirestore?

FirebaseFirestore can be used for a wide range of AI applications, making it a versatile tool for developers and creators alike. Some common use cases include natural language processing, text generation, question answering, sentiment analysis, and more. It's particularly useful for building chatbots, virtual assistants, content creation tools, and other AI-powered applications that can help you automate tasks, engage with users, and create compelling content. Whether you're working on a personal project or building a product for your startup, FirebaseFirestore can help you bring your ideas to life.

How does FirebaseFirestore handle data privacy and security?

Data privacy and security are crucial considerations when working with AI systems, and FirebaseFirestore takes these issues seriously. It follows industry best practices and adheres to strict data protection regulations, ensuring that your data is kept safe and secure. FirebaseFirestore provides robust security measures, such as encryption and access controls, to ensure the confidentiality and integrity of your data. You can rest assured that your sensitive information is protected when using FirebaseFirestore for your AI development needs.