Make a Langfuse trace worth opening: question, answer, session, no probe noise
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@@ -65,6 +65,14 @@ class Settings(BaseSettings):
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otel_service_name: str = "ai-service"
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otel_exporter_otlp_endpoint: str = "http://localhost:4318/v1/traces"
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otel_sample_ratio: float = Field(default=1.0, ge=0.0, le=1.0)
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# Langfuse ingests the SAME spans over OTLP as a second exporter, so it
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# adds an LLM-shaped view (per-trace answers, eval scores) without
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# replacing Tempo or touching any instrumentation. All three must be set
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# for the exporter to be added; keys are secrets and live only in .env /
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# the cluster Secret, never in values.yaml.
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langfuse_base_url: str = ""
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langfuse_public_key: str = ""
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langfuse_secret_key: str = ""
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entities_path: Path = _default_entities_path()
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# F-08: a per-turn budget across RagAgent's sequential Bedrock calls
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# (understand, generate, one entailment check on the live agent path).
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