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Introduce abstract "task type" for LLM agents instead of specifying
temperature explicitly for each agent. This has 2 advantages:
- we don't hardcode it everywhere, and can change centrally
as our understanding of the right temperature evolves
- we can control other LLM parameters (topn/topk) using task type as well
Update #6576
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Don't memorize repeated request configs.
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If LLMAgent.Temperature is assigned an untyped float const (0.5)
it will be typed as float64 rather than float32. So recast them.
Cap Temperature at model's supported MaxTemperature.
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Add helper function that executes test workflows,
compares results (trajectory, LLM requests) against golden files,
and if requested updates these golden files.
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