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launchdarkly
python-ai-sdk
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fix(evaluations): Model resolution for remote AI config fetch (#147)
release-please
#70:
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[AIC-3363] Add support for evaluation data to be defined in code (#127)
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#69:
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feat(evaluations)!: take tools as a list of EvalTool, with inline def…
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#68:
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[AIC-3513] Point package README links at GitHub so they resolve on Py…
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#67:
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fix(agents): accept sync tool handlers on invoke and native graphs (#…
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#66:
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chore: release main (#110)
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#65:
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fix(openai-agents): accept sync tool handlers (#119)
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#64:
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feat(AIC-3211): record each graph node as its own tracking event (#114)
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#63:
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[AIC-3484] Send LD-API-Version on evaluations API requests (#116)
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#62:
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[AIC-3451] Register LangChain handlers in the Python example registry…
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#61:
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feat(AIC-3449): refactor AI Config reference into a dataclass (#113)
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#60:
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feat(evaluations): preserve the tool trajectory for judges (#89)
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#59:
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feat(AIC-3210): support graph().stream() in the Python AI SDK (#104)
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#58:
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refactor(agents): rename the graph span to launchdarkly.graph for con…
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#57:
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feat(AIC-3449): Support pulling in configs for evals from code (#108)
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#56:
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chore: release main (#91)
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#55:
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docs: remove the internal staging host from a public repo (#96)
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#54:
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feat(client): stamp modelKey and modelVersion from _ldMeta on trackin…
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#53:
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fix(AIC-3382): support Bedrock configs in LangChain handlers (#101)
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#52:
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fix: apply Claude thinking parameters from the evaluated LangChain co…
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#51:
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feat(AIC-3106): add multimodal history support to graph().invoke() (#26)
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#50:
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docs: replace stale launchdarkly-ai package name with launchdarkly-ai…
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#49:
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fix: extract LangChain content-block text and apply model parameters …
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#48:
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feat(evaluations): add LD judge event support (#63)
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#47:
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fix(graph): prefer node tools before synthetic handoff routing (#90)
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#46:
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