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Endpoints and streaming protocols for interacting with large language and multimodal models.
Distinguishing note: Focuses on the interaction layer for generative models rather than the underlying model training or architecture.
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This project is an agentic workflow orchestrator designed for building and deploying autonomous systems that perform multi-step reasoning. It functions as a tool-augmented engine, enabling developers to chain model calls with external function execution to complete complex, user-defined tasks. By integrating large language models with persistent memory and stateful logic, the framework supports the creation of intelligent applications capable of independent operation. The platform distinguishes itself through graph-based state orchestration, which allows developers to define logic steps and t
Provides a unified programming layer for accessing diverse models capable of processing and creating multimodal content.