Can Timpi Orca build AI agent workflows?
Orca is designed for inspectable agents that use models, data, decisions and tools.
Answer
Yes. Timpi Orca can build AI agent workflows by chaining intent models, LLMs, RAG, Timpi data sources, decisions, memory, sub-workflows and external integrations. The agent can analyze an input, decide whether it needs online research, RAG, another model, a database lookup or an API call, and then route execution through the right branch.
Unlike black-box agent runtimes, Orca makes the decision path visible. Users can inspect the intermediate outputs, apply output filters, route false branches to Bin, retry failed steps and publish the complete agent as an authenticated API endpoint.
- Macro-MoE style model routing with classifier or router blocks
- Decision blocks with true/false branches
- Parallel RAG and data retrieval
- Sub-workflow blocks for reusable agent skills