Use Delighted with OpenAI Python

Productivity-agent

Delighted is a customer experience management platform that helps businesses collect, analyze, and act on customer feedback. It provides tools for sending surveys, tracking customer satisfaction metrics, and generating insights to improve the customer experience.

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1. 🔑 Connect your Delighted accoun

2. ✅ Select an action

3. 🚀 Go live with the agent

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API actions for Delighted for AI assitants/agents

Language

PYTHON

Framework

Create Survey

Creates a new survey in Delighted.

from composio_openai import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.CREATE_SURVEY])

Send Survey

Sends a survey to specified recipients.

from composio_openai import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.SEND_SURVEY])

Update Survey

Updates an existing survey's settings or questions.

from composio_openai import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.UPDATE_SURVEY])

Close Survey

Closes or deactivates an active survey.

from composio_openai import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.CLOSE_SURVEY])

Add Survey Recipient

Adds a new recipient to a survey distribution list.

from composio_openai import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.ADD_SURVEY_RECIPIENT])

Remove Survey Recipient

Removes a recipient from a survey distribution list.

from composio_openai import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.REMOVE_SURVEY_RECIPIENT])

Create Custom Question

Creates a new custom question for surveys.

from composio_openai import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.CREATE_CUSTOM_QUESTION])

Generate Report

Generates a custom report based on survey data.

from composio_openai import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.GENERATE_REPORT])

Add Survey Note

Adds a note to a specific survey response.

from composio_openai import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.ADD_SURVEY_NOTE])

Create Survey Segment

Creates a new segment for targeted survey distribution.

from composio_openai import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.CREATE_SURVEY_SEGMENT])

Update Response Property

Updates a property of a specific survey response.

from composio_openai import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.UPDATE_RESPONSE_PROPERTY])

Create Workflow

Creates a new automated workflow in Delighted.

from composio_openai import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.CREATE_WORKFLOW])

Pause Workflow

Pauses an active workflow in Delighted.

from composio_openai import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.PAUSE_WORKFLOW])

Resume Workflow

Resumes a paused workflow in Delighted.

from composio_openai import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.RESUME_WORKFLOW])

Delete Workflow

Deletes an existing workflow in Delighted.

from composio_openai import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.DELETE_WORKFLOW])

Create Tag

Creates a new tag for categorizing survey responses.

from composio_openai import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.CREATE_TAG])

Apply Tag To Response

Applies a tag to a specific survey response.

from composio_openai import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.APPLY_TAG_TO_RESPONSE])

Remove Tag From Response

Removes a tag from a specific survey response.

from composio_openai import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.REMOVE_TAG_FROM_RESPONSE])

Export Survey Data

Exports survey data in a specified format.

from composio_openai import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.EXPORT_SURVEY_DATA])

Set Survey Reminder

Sets a reminder for non-responsive survey recipients.

from composio_openai import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.SET_SURVEY_REMINDER])

New Survey Response

Triggered when a new survey response is submitted.

from composio_openai import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.NEW_SURVEY_RESPONSE])

New Promoter

Triggered when a new promoter (high NPS score) is identified.

from composio_openai import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.NEW_PROMOTER])

New Detractor

Triggered when a new detractor (low NPS score) is identified.

from composio_openai import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.NEW_DETRACTOR])

Survey Score Changed

Triggered when a survey score is changed or updated.

from composio_openai import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.SURVEY_SCORE_CHANGED])

Survey Comment Added

Triggered when a comment is added to a survey response.

from composio_openai import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.SURVEY_COMMENT_ADDED])

NPS Score Threshold Reached

Triggered when the overall NPS score reaches a specified threshold.

from composio_openai import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.NPS_SCORE_THRESHOLD])

Survey Response Rate Changed

Triggered when the survey response rate changes significantly.

from composio_openai import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.RESPONSE_RATE_CHANGED])

New Survey Created

Triggered when a new survey is created in Delighted.

from composio_openai import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.NEW_SURVEY_CREATED])

Survey Closed

Triggered when a survey is closed or deactivated.

from composio_openai import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.SURVEY_CLOSED])

Feedback Trend Detected

Triggered when a significant trend is detected in feedback data.

from composio_openai import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.FEEDBACK_TREND_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 Delighted?

Composio.dev seamlessly integrates with Delighted, making it a breeze to leverage its capabilities within the Composio.dev platform. You can use Delighted 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 Delighted and openAI_python?

When using Delighted and openAI_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 Delighted with openAI_python?

Integrating Delighted with openAI_python is super easy with Composio.dev! You can use the Composio.dev API to call functions from both Delighted and openAI_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 Delighted and openAI_python?

Both Delighted and openAI_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 Delighted and openAI_python?

Delighted and openAI_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 Delighted and openAI_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 Delighted to my project?

Absolutely! You can easily incorporate Delighted into your project by utilizing the Composio.dev API. This API allows you to call functions from both Delighted and openAI_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 Delighted and openAI_python?

Delighted and openAI_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 Delighted and openAI_python?

Delighted and openAI_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 Delighted handle data privacy and security?

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

Can I customize Delighted and openAI_python for my specific needs?

Absolutely! Delighted and openAI_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 Delighted and openAI_python?

Delighted and openAI_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.