Use Amazon SQS with AI Agents

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Amazon Simple Queue Service (Amazon SQS) is a fully managed message queuing service that enables you to decouple and scale microservices, distributed systems, and serverless applications. Amazon SQS provides reliable, highly scalable, and durable message queuing for distributed applications.

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🔗 Connect and Use Amazon SQS

1. 🔑 Connect your Amazon SQS accou

2. ✅ Select an action

3. 🚀 Go live with the agent

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API actions for Amazon SQS for AI assitants/agents

Language

PYTHON

Framework

Send Message

Send a message to a specified Amazon SQS queue.

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

Receive Messages

Retrieve one or more messages from a specified Amazon SQS queue.

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

Delete Message

Remove a specific message from an Amazon SQS queue after processing.

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

Create Queue

Create a new Amazon SQS queue with specified attributes.

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

Delete Queue

Delete an existing Amazon SQS queue and all its messages.

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

List Queues

Retrieve a list of all Amazon SQS queues in your account.

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

Get Queue Attributes

Retrieve the attributes of a specified Amazon SQS queue.

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

Set Queue Attributes

Modify the attributes of an existing Amazon SQS queue.

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

Purge Queue

Delete all messages in an Amazon SQS queue.

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

Add Permission

Add a permission to an Amazon SQS queue for a specific principal.

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

Remove Permission

Remove a permission from an Amazon SQS queue for a specific principal.

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

Tag Queue

Add tags to an Amazon SQS queue for better organization and management.

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

Untag Queue

Remove tags from an Amazon SQS queue.

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

List Queue Tags

Retrieve all tags associated with an Amazon SQS queue.

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

Change Message Visibility

Change the visibility timeout of a specific message in an Amazon SQS queue.

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

Send Message Batch

Send multiple messages to an Amazon SQS queue in a single request.

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

Delete Message Batch

Delete multiple messages from an Amazon SQS queue in a single request.

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

Change Message Visibility Batch

Change the visibility timeout for multiple messages in an Amazon SQS queue.

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

New Message

Trigger when a new message is added to a specified Amazon SQS queue.

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

Queue Created

Trigger when a new Amazon SQS queue is created in your account.

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

Queue Deleted

Trigger when an Amazon SQS queue is deleted from your account.

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

Queue Attributes Changed

Trigger when the attributes of an Amazon SQS queue are modified.

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

Message Processed

Trigger when a message is successfully processed and deleted from the queue.

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

Queue Purged

Trigger when an Amazon SQS queue is purged of all its messages.

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

Dead Letter Queue Message

Trigger when a message is moved to a Dead Letter Queue after multiple processing failures.

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

Queue Depth Threshold

Trigger when the number of messages in a queue reaches a specified threshold.

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

Message Age Threshold

Trigger when a message in the queue reaches a specified age threshold.

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

Queue Permissions Changed

Trigger when permissions for an Amazon SQS queue are added, modified, or removed.

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

Queue Tags Changed

Trigger when tags are added to or removed from an Amazon SQS queue.

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

Message Visibility Timeout

Trigger when a message's visibility timeout expires in an Amazon SQS queue.

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

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 Amazon SQS?

Composio.dev seamlessly integrates with Amazon SQS, allowing you to leverage its capabilities within the Composio.dev platform. You can utilize Amazon SQS 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 Amazon SQS?

With Amazon SQS, 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 Amazon SQS into my project?

Composio.dev provides a seamless integration for Amazon SQS, making it super easy to incorporate this powerful framework into your projects. You can leverage the Composio.dev API to call functions from Amazon SQS, 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 Amazon SQS into your projects seamlessly.

What is the pricing for Amazon SQS?

Amazon SQS 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 Amazon SQS without worrying about breaking the bank.

What kind of authentication is supported for Amazon SQS?

Amazon SQS 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 Amazon SQS 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 Amazon SQS to my project?

Absolutely! You can easily incorporate Amazon SQS into your project by utilizing the Composio.dev API. This API allows you to call functions from Amazon SQS, 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 Amazon SQS to your project with ease.

What is the accuracy of Amazon SQS?

Amazon SQS 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. Amazon SQS'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 Amazon SQS?

Amazon SQS 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, Amazon SQS can help you bring your ideas to life.

How does Amazon SQS handle data privacy and security?

Data privacy and security are crucial considerations when working with AI systems, and Amazon SQS 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. Amazon SQS 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 Amazon SQS for your AI development needs.