VineLM: Trie-Based Fine-Grained Control for Agentic Workflows
Agentic workflows interleave configurable LLM stages with tool stages and often include retries or refinement loops. Existing workflow managers profile full workflow configurations offline and assign each request a static workflow-level plan that binds each configurable LLM stage to a single model, reuses that model across repeated loop iterations, and does not revisit those choices at runtime. We present VineLM, a workflow manager that enables fine-grained control by choosing the model for each stage invocation as execution unfolds under request-level objectives such as maximizing accuracy under cost or latency budgets. VineLM represents feasible executions as an annotated trie of model-...
| Authors | Nikos Pagonas, Matthew Lou, Tianyi Peng et al. |
|---|---|
| Primary category | cs.DC |
| Published | 9 April 2026 |
| Last updated at source | 9 April 2026 |
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