AgentRunner

Building sophisticated AI applications often involves juggling multiple models, managing complex prompt chains, and ensuring smooth collaboration across teams. AgentRunner provides a unified, visual environment designed specifically for AI developers and prompt engineers, helping you move from concept to deployment more efficiently. It streamlines the intricate process of creating, testing, and managing AI workflows.

Core Capabilities You Can Leverage

• 🔌 Easy AI Model Integration: Connect seamlessly with popular AI models like OpenAI (GPT series), Claude, LLaMa, and others using your existing accounts. Spend less time on setup and more time building.

• ✍️ Centralized Prompt Management: Edit, organize, and manage all your prompts within a single, intuitive workspace. Maintain consistency and easily track changes across your projects.

• 🎨 Visual Programming Interface: Design complex AI logic using a drag-and-drop, node-based editor. Chain prompts, manipulate data flows, and integrate external APIs visually, making intricate workflows easier to grasp and modify.

• Mapped_content Prompt Versioning & Branching: Implement robust development lifecycles with built-in version control. Create separate branches for development, testing, and production, swapping versions automatically during deployment without needing code alterations.

• ↔️ Direct API Access to Prompts & Chains: Integrate your AgentRunner prompts and workflows into any application using simple API calls. We provide sample code for popular programming languages to get you started quickly.

• 📈 Integrated Testing & Performance Monitoring: Test prompts directly within the platform using sample inputs to iterate rapidly. Monitor key performance metrics and access detailed logs for every prompt execution to identify and resolve issues.

• 👥 Built for Team Collaboration: Invite team members and assign roles (e.g., viewer, editor) to work together seamlessly. Use comments on specific versions to provide feedback and keep everyone aligned.

• ☁️ Cloud-Based Reliability & Access: Access your workflows anytime, anywhere. AgentRunner is a cloud-native solution built for high availability and scalability, suitable for teams and projects of various sizes.

• 🔒 Security and Compliance Focused: Your work is protected with encrypted API key storage, secure OAuth connections for model integrations, and mandatory two-factor authentication (2FA) for logins. AgentRunner is also GDPR compliant.

How Developers Are Using AgentRunner

1. Developing Advanced Chatbots: A team building a customer support chatbot uses the visual editor to chain prompts for intent recognition, information retrieval from a knowledge base (via API node), and response generation. They use versioning to test different conversational flows in parallel before deploying the best-performing one.

2. Automating Marketing Content Creation: A startup uses AgentRunner to create a workflow that generates social media posts. They integrate OpenAI for text generation, use data manipulation nodes to tailor content for different platforms, and connect to an external API to schedule the posts automatically. Testing helps them refine prompts for tone and brand voice.

3. Integrating AI Decision-Making into Workflows: A company automates parts of its lead qualification process. AgentRunner orchestrates calls to different AI models: one to summarize incoming emails, another to classify lead intent, and a third to draft a suggested follow-up response, all triggered via API from their CRM system.

Streamline Your AI Development Journey

AgentRunner consolidates the essential tools for building, managing, and deploying AI-powered applications. By offering a visual interface combined with robust features like version control, testing, and collaboration support, it addresses common friction points in the AI development lifecycle. This allows you and your team to focus on innovation and deliver high-quality AI solutions more effectively.

Frequently Asked Questions (FAQ)

• Which AI models can I integrate with AgentRunner? You can connect your accounts for major models including those from OpenAI (like GPT-4, GPT-3.5), Anthropic's Claude series, Meta's LLaMa models, and potentially others as integrations expand. The platform uses secure methods like OAuth or encrypted API key storage for connections.

• How does the visual programming interface work? It's a node-based system. You drag components (like specific prompts, API calls, data transformations, conditional logic) onto a canvas and connect them to define the flow of execution for your AI application. This makes complex sequences easier to visualize and manage than code alone.

• Can I use AgentRunner prompts in my existing codebase? Yes. Every prompt and chain you create in AgentRunner can be accessed via a secure API endpoint. You can easily call these endpoints from your application code using standard HTTP requests. Sample code snippets are provided for common languages.