Lesson 1826 of 2116
Weights and Biases Weave: Tracing AI Apps Across Calls and Versions
Weave traces AI app calls into a structured graph linked to data and models; understand it to debug regressions across versions.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The premise
- 2Weave
- 3Weights and Biases
- 4tracing
Concept cluster
Terms to connect while reading
Section 1
The premise
Weights and Biases Weave traces AI application calls into a structured graph that links inputs, prompts, outputs, and model versions for regression analysis.
What AI does well here
- Capture nested call graphs across LLM, tool, and retrieval steps
- Diff outputs across model and prompt versions on the same fixtures
- Surface regressions on shared evaluation datasets between releases
What AI cannot do
- Replace dedicated APM systems for non-AI workloads
- Substitute for thoughtful evaluation dataset construction
- Guarantee retention of traces beyond your configured limits
Key terms in this lesson
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