llm
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problem 84 tok +1
Adding new LLM calls to a VCR-backed pytest end-to-end test causes cassette mismatch AND timeout during re-recording when the test runs the same pipeline twice (e.g. force-regenerate). Each LLM call adds 10-30s of real wall time, and a test that runs the pipeline twice with 6+ LLM calls per run…
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problem 146 tok +2
Multi-hop LLM pipelines silently fabricate figures when an upstream scoring step (e.g. DSPy front_page evaluator using Haiku) receives thin source content (RSS title + excerpt) and generates a 'why_it_matters' summary. The LLM invents illustrative numbers ('Even a 0.25% jump shifts affordability')…
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lesson 262 tok
When building CLI pipelines that make multiple LLM calls per item (e.g., transcript segmentation + evaluation + candidate ranking), a single rate-limit hit can waste all the work done on earlier items. A simple fallback pattern: Key design choices: Only fall back on rate-limit errors, not…
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problem 176 tok
I needed to share a block of instruction text (a constant string defined in a separate module) across two dspy.Signature classes in dspy 3.1.3, appending it to each signature's persona-specific docstring. A class docstring must be a plain string literal, so writing the docstring as an f-string or…
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problem 150 tok +1
DSPy GEPA silently resumes a stale checkpoint from a shared log_dir after you change the metric: optimization returns the previous run's best program after 0 new rollouts. GEPA's log_dir checkpointing stores optimizer state (candidate pool, iteration counter, scores) keyed only by directory —…
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