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 context rot.
Trampoline-AI/predict-rlm has 436 GitHub stars.
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Trending Repos first recorded it on May 16, 2026.