Use Ambient with Langchain Python

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

Stop Sound Recording

Stops the ongoing sound recording.

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

Adjust Sensitivity

Adjusts the sensitivity of the ambient sound detection system.

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

Set Noise Threshold

Sets a new threshold for noise level detection.

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

Add Sound Pattern

Adds a new sound pattern to the recognition database.

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

Remove Sound Pattern

Removes a sound pattern from the recognition database.

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

Generate Sound Report

Generates a report of ambient sound activities for a specified time period.

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

Enable Noise Cancellation

Activates the noise cancellation feature for cleaner audio processing.

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

Disable Noise Cancellation

Deactivates the noise cancellation feature.

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

Set Recording Duration

Sets the duration for automatic sound recording sessions.

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

Create Sound Alert

Creates a new alert for a specific sound or noise condition.

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

Delete Sound Alert

Removes an existing sound alert from the system.

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

Calibrate Microphone

Initiates a calibration process for the ambient sound microphone.

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

Set Operating Hours

Sets the active hours for the ambient sound monitoring system.

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

Toggle Sound Classification

Enables or disables automatic sound classification feature.

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

Export Sound Data

Exports collected sound data in a specified format.

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

Import Sound Profiles

Imports pre-defined sound profiles for recognition.

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

Set Alert Notification Method

Configures the method for receiving ambient sound alerts (e.g., email, SMS).

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

Update Device Firmware

Initiates a firmware update for the ambient sound monitoring device.

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

Reset To Default Settings

Resets all ambient sound monitoring settings to their default values.

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

New Sound Detected

Triggered when a new sound is detected by the ambient sound monitoring system.

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

Noise Level Exceeded

Triggered when the ambient noise level exceeds a specified threshold.

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

Specific Sound Recognized

Triggered when a specific pre-defined sound is recognized (e.g., glass breaking, dog barking).

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

Sudden Sound Change

Triggered when there's a sudden change in the ambient sound environment.

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

Quiet Period Detected

Triggered when a period of unusual quietness is detected.

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

Background Noise Changed

Triggered when there's a significant change in the background noise pattern.

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

Audio Pattern Matched

Triggered when a specific audio pattern is matched against a pre-defined template.

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

Voice Detected

Triggered when human voice is detected in the ambient environment.

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

Music Detected

Triggered when music is detected in the ambient environment.

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

Alarm Sound Detected

Triggered when an alarm or siren sound is detected.

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

Frequently asked questions

What is Composio.dev?

Composio.dev is a cutting-edge framework for building AI applications, designed to make the process of developing AI solutions super easy and fun! It's a collection of powerful tools and libraries that simplify the process of creating AI applications, allowing you to focus on the creative aspects of your project without getting bogged down by the technical details.

How does Composio.dev support Ambient?

Composio.dev seamlessly integrates with Ambient, making it a breeze to leverage its capabilities within the Composio.dev platform. You can use Ambient to call functions on various platforms like Google, GitHub, and others, allowing you to incorporate different services into your AI applications with ease. It also supports user login via OAuth2 and can work with other popular frameworks such as LangChain and CrewAI, giving you the flexibility to build truly innovative AI solutions.

What models can I use with Ambient and langchain_python?

When using Ambient and langchain_python, 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 Ambient with langchain_python?

Integrating Ambient with langchain_python is super easy with Composio.dev! You can use the Composio.dev API to call functions from both Ambient and langchain_python, allowing you to tap into their capabilities with just a few lines of code. The SDK is available in Python, JavaScript, and TypeScript, so you can work with the language you're most comfortable with and integrate these powerful tools into your projects seamlessly.

What is the pricing for Ambient and langchain_python?

Both Ambient and langchain_python are completely free to use, with a generous free tier that allows up to 1000 requests per month. This makes them accessible for developers and organizations of all sizes, whether you're a student working on a personal project or a startup building the next big thing. You can get started with these powerful tools without worrying about breaking the bank.

What kind of authentication is supported for Ambient and langchain_python?

Ambient and langchain_python support OAuth2 authentication, ensuring secure and authorized access to their functionalities. You can use the Composio.dev API to handle authentication and call functions from both Ambient and langchain_python 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 Ambient to my project?

Absolutely! You can easily incorporate Ambient into your project by utilizing the Composio.dev API. This API allows you to call functions from both Ambient and langchain_python, enabling you to leverage their 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 these powerful tools to your project with ease.

What is the accuracy of Ambient and langchain_python?

Ambient and langchain_python are 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. The 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 Ambient and langchain_python?

Ambient and langchain_python can be used for a wide range of AI applications, making them versatile tools for developers and creators alike. Some common use cases include natural language processing, text generation, question answering, sentiment analysis, and more. They're 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, these tools can help you bring your ideas to life.

How does Ambient handle data privacy and security?

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

Can I customize Ambient and langchain_python for my specific needs?

Absolutely! Ambient and langchain_python are highly customizable and extensible, allowing you to tailor their functionality, models, and configurations to meet your specific requirements. Whether you're building a chatbot, a content creation tool, or any other AI-powered application, you can customize these tools to fit your unique needs. Additionally, Composio.dev provides a flexible platform for integrating and orchestrating various AI tools and services, enabling you to create custom AI solutions that are tailored to your project.

What kind of support and documentation is available for Ambient and langchain_python?

Ambient and langchain_python have comprehensive documentation and a supportive community, making it easy for you to get started and find answers to your questions. Composio.dev also provides extensive resources, including tutorials, guides, and a dedicated support team to assist you throughout your AI development journey. Whether you're a beginner or an experienced developer, you'll have access to the resources you need to make the most of these powerful tools.