feat: add ManagedAgent with evaluations support#1334
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Introduces ManagedAgent class as the agent-mode analogue of TrackedChat. ManagedAgent.run() invokes the provider, tracks metrics, and wires judge evaluations (via aiAgentConfig.evaluator) into ManagedResult.evaluations. Adds LDAIClient.createAgent() to LDAIClientImpl and the LDAIClient interface. Exports ManagedAgent from the public API. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Summary
ManagedAgentclass as the agent-mode analogue ofTrackedChat(ManagedModel)ManagedAgent.run(prompt)invokes provider, tracks metrics, and wires judge evaluations intoManagedResult.evaluationsaiAgentConfig.evaluator.evaluate(prompt, output)— input is the raw prompt, output is the model responsetracker.trackJudgeResult()is called within the evaluations promise (not blocking run())createAgent()toLDAIClientinterface andLDAIClientImplManagedAgentfrom the public package APITest plan
ManagedAgent.test.tscovers: run() returns ManagedResult, provider called with user message, evaluations wired correctly, trackJudgeResult called on await🤖 Generated with Claude Code