feat: Implement optimization code paths and functionality for initial release#140
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andrewklatzke wants to merge 32 commits intomainfrom
Open
feat: Implement optimization code paths and functionality for initial release#140andrewklatzke wants to merge 32 commits intomainfrom
andrewklatzke wants to merge 32 commits intomainfrom
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…ype, remove required context_choices argument and default to anon
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This PR encapsulates all previous changes in the chain of optimization PRs that were broken up into smaller pieces. Consolidating here so that we can have a single commit/release of the package. The PRs were independently reviewed and approved.
Describe the solution you've provided
See:
#116
#117
#119
#122
#127
#128
#130
#135
#139
Note
High Risk
Large new feature set that adds iteration control flow, judge evaluation logic, and writes to LaunchDarkly REST APIs (including auto-committing config changes) gated by
LAUNCHDARKLY_API_KEY.Overview
Implements the initial end-to-end optimization workflow for the Python AI optimization package, replacing the previous placeholder client with a full
OptimizationClientthat can iteratively generate agent variations, score them with LLM judges, and optionally validate “passing” candidates on additional samples.Adds a new typed public surface (
OptimizationOptions,GroundTruthOptimizationOptions,OptimizationFromConfigOptions,OptimizationContext, judge/tool/response dataclasses) plus prompt-building and utility helpers for structured JSON parsing and safe variable interpolation/restoration.Introduces a lightweight LaunchDarkly REST client (
LDApiClient) used byoptimize_from_configto fetch optimization configs and persist per-iteration results (status, scores, latency, token usage), and supports optional auto-commit of the winning variation back to the AI Config (with generated unique variation keys viacoolname).Reviewed by Cursor Bugbot for commit 937542a. Bugbot is set up for automated code reviews on this repo. Configure here.