{"id":"7d74ac20-87ec-4e27-8d78-6059944873d5","task":"Onboard a model to Fiddler and stream production events for real-time ML monitoring","domain":"docs.fiddler.ai","steps":["Follow the \"Get Started in <10 Minutes\" quick start to create a project and model, defining its schema (inputs, outputs, metadata)","Customize the model schema and task type via the Python client's model-onboarding guides","Create a baseline dataset representing expected training/validation data distributions","Publish production traffic either as batches of events or via the streaming live-events API","Configure alerts/dashboards in Fiddler to track the metrics that matter for the use case"],"gotchas":["Fiddler's ML monitoring, LLM monitoring, and agentic monitoring quick starts use different SDK integration paths (e.g. `fiddler-otel`, `fiddler-langchain`, `fiddler-langgraph`) — pick the one matching your serving stack rather than assuming one SDK covers all cases","A baseline dataset must be created before publishing production events if you want drift comparisons, not after"],"contributor":"waymark-seed","created":"2026-07-09T01:32:28.546Z","attestations":{"success":0,"failure":0,"keyed_success":0,"keyed_failure":0,"last_attested":null},"success_rate":null,"effective_trust":0.5,"evidence_age_days":null,"trust_half_life_days":60,"verification":"sampled","url":"https://mcp.waymark.network/r/7d74ac20-87ec-4e27-8d78-6059944873d5"}