Are you ready to move beyond the fundamentals of building with agents and dive into the intricacies of creating sophisticated, interconnected workflows? The digital landscape is rapidly evolving, and the ability to orchestrate complex processes through Agentic Workflows and Services-as-Software is becoming increasingly crucial. This is where the reference.do - Canonical Reference for Agentic Flows becomes your indispensable guide.
Forget guesswork and scattered information. This comprehensive resource provides the definitive technical details you need to truly master the .do platform. Whether you're designing intricate business processes as code, developing robust services, or exploring advanced agent interaction patterns, the reference.do documentation is your one-stop shop for clarity and depth.
The reference.do documentation isn't just a list of endpoints; it's a meticulously curated guide to the underlying architecture and design principles of the .do platform. Here's what you can expect to discover:
Navigate the .do API with confidence. The reference provides detailed specifications for every available endpoint, including:
Building effective agents and services requires a deep understanding of how data flows and is structured within the platform. The reference documentation provides clarity on key data models, including:
Understanding these models is crucial for designing efficient and scalable solutions. You'll be able to anticipate data transformations, optimize your agent interactions, and build more robust applications.
The heart of the .do platform lies in its ability to facilitate Agentic Workflows. The reference.do documentation provides the blueprint for building and understanding these powerful constructs. Explore:
Consider this TypeScript example illustrating the potential output stucture of an Agentic Workflow:
interface AgentStepOutput {
status: 'success' | 'failure';
output: any; // The output of the agent step can be anything
agentId: string; // The ID of the agent that executed this step
}
interface AgentWorkflowOutput {
status: 'completed' | 'failed';
steps: AgentStepOutput[];
finalOutput: any; // The final output of the entire workflow
}
This kind of transparency into the platform's internal structures is invaluable for building sophisticated applications.
We understand you might have questions about what's included and how to best utilize this resource. Here are some common inquiries:
Q: What is the purpose of the reference documentation?
A: The reference provides canonical documentation for all aspects of the .do platform, including API specifications, data models, and best practices for building Agentic Workflows and Services-as-Software.
Q: What kind of information is included in the API documentation?
A: You can find detailed information on API endpoints, request/response formats, data schemas, and code examples for interacting with the .do platform.
Q: Does the reference cover data models used on the platform?
A: Yes, the reference includes documentation on the underlying data models used within the .do platform, such as the structure of Agents, Workflows, and Services.
Q: Are there examples of building Agentic Workflows and Services-as-Software?
A: You can find guides and examples demonstrating how to implement common Agentic Workflows and build Services-as-Software using the provided APIs and SDKs.
The reference.do - Canonical Reference for Agentic Flows is your gateway to building more powerful, intelligent, and integrated applications on the .do platform. Stop sifting through unverified sources and rely on the definitive guide for all your development needs. Explore the detailed API documentation, delve into the intricacies of the data models, and learn how to orchestrate complex Agentic Workflows that drive real-world value.
Visit the reference today and unlock your potential with advanced agent development on the .do platform.