# Trampoline-AI/predict-rlm

<https://repo.masters-masters.com/en/repos/Trampoline-AI/predict-rlm>

[Home](https://repo.masters-masters.com/en) › [Trampoline-AI](https://repo.masters-masters.com/en/owners/Trampoline-AI) › [predict-rlm](https://repo.masters-masters.com/en/repos/Trampoline-AI/predict-rlm)

Trampoline-AI/predict-rlm has 437 stars on GitHub. Its RepoMasters card: Alpha tier. Production focused Self-harnessed LM runtime (RLM) that allows the LM to…

| Field | Value |
| --- | --- |
| Owner | [Trampoline-AI](https://repo.masters-masters.com/en/owners/Trampoline-AI) |
| Stars | 437 |
| Forks | 47 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2026 |
| Topics | dspy, llm, rlm |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [Trampoline-AI/predict-rlm](https://github.com/Trampoline-AI/predict-rlm) |

## Repository

Production focused Self-harnessed LM runtime (RLM) that allows the LM to call its sub-lm with DSPy signatures. Define your inputs, outputs, and tools — the model handles its own control flow. Get fully interpretable trajectories and performance that scales directly with model improvements. Without…

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.