Use V7 Go with Langchain Python

Ai-apps

V7 Go is a programming language based on the Go programming language, designed to provide a simplified and more approachable syntax compared to standard Go.

Request access

Join discord

🔗 Connect and Use V7 Go

1. 🔑 Connect your V7 Go account

2. ✅ Select an action

3. 🚀 Go live with the agent

What do you want to do?

Open Index

API actions for V7 Go for AI assitants/agents

Language

PYTHON

Framework

Create Project

Create a new project in v7_go

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

Upload Image

Upload a new image to a project in v7_go

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

Start Annotation

Initiate the annotation process for an image or dataset

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

Export Annotations

Export completed annotations from a project

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

Invite Team Member

Invite a new team member to collaborate on a project

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

Create Dataset

Create a new dataset within a project

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

Assign Task

Assign an annotation task to a team member

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

Set Annotation Guidelines

Define and set annotation guidelines for a project

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

Generate Report

Generate a report on annotation progress and quality

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

Create Label

Create a new label for annotation in a project

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

Update Project Settings

Modify the settings of an existing project

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

Merge Datasets

Combine multiple datasets into a single dataset

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

Review Annotations

Initiate a review process for completed annotations

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

Train Model

Start training a machine learning model using annotated data

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

Deploy Model

Deploy a trained model for inference

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

New Project Created

Triggered when a new project is created in v7_go

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

Image Uploaded

Triggered when a new image is uploaded to a project

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

Annotation Completed

Triggered when an annotation task is completed

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

Dataset Created

Triggered when a new dataset is created

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

Team Member Joined

Triggered when a new team member joins a project

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

Annotation Guidelines Updated

Triggered when annotation guidelines are modified

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

Report Generated

Triggered when a new report is generated

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

Model Training Started

Triggered when model training begins

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

Model Deployment Completed

Triggered when a model is successfully deployed

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

Annotation Review Requested

Triggered when an annotation is submitted for review

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

Project Settings Changed

Triggered when project settings are modified

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

Dataset Merged

Triggered when datasets are successfully merged

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

New Label Created

Triggered when a new label is created in a project

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

Task Assignment Completed

Triggered when a task is assigned to a team member

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

Export Completed

Triggered when an export of annotations is finished

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

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 V7 Go?

Composio.dev seamlessly integrates with V7 Go, making it a breeze to leverage its capabilities within the Composio.dev platform. You can use V7 Go 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 V7 Go and langchain_python?

When using V7 Go 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 V7 Go with langchain_python?

Integrating V7 Go with langchain_python is super easy with Composio.dev! You can use the Composio.dev API to call functions from both V7 Go 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 V7 Go and langchain_python?

Both V7 Go 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 V7 Go and langchain_python?

V7 Go 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 V7 Go 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 V7 Go to my project?

Absolutely! You can easily incorporate V7 Go into your project by utilizing the Composio.dev API. This API allows you to call functions from both V7 Go 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 V7 Go and langchain_python?

V7 Go 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 V7 Go and langchain_python?

V7 Go 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 V7 Go handle data privacy and security?

Data privacy and security are crucial considerations when working with AI systems, and V7 Go 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. V7 Go 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 V7 Go for your AI development needs.

Can I customize V7 Go and langchain_python for my specific needs?

Absolutely! V7 Go 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 V7 Go and langchain_python?

V7 Go 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.