tracer-llm 0.3.0

Added

• tracer.watch: a decorator (and HTTP fallback) that observes the LLM calls
  your pipeline already makes and ships them, free, to Tracer Cloud, where they
  accumulate and auto-optimize once there are enough. Captures the full request
  and response on the OpenTelemetry GenAI (gen_ai.*) schema, with pluggable
  sinks (local file, Tracer Cloud, OTLP, or several at once).
• @tracer/watch: a zero-dependency JavaScript/TypeScript mirror of the watch
  decorator (async-context aware), so JS pipelines get the same one-line
  observability as Python.
• tracer cloud: a full command-line interface for Tracer Cloud, at parity with
  the dashboard. Browser or password login, then manage tracers (create, quick
  and bulk uploads, agentic onboard, rename, delete), training (retrain,
  auto-retrain, promote/rollback, live status), routing (route), test
  batteries, the model library, API keys, observability ingest keys, billing,
  analytics, trace selection (traces), and a public scan.
• Lazy package initialization so import tracer stays fast and only pulls in the
  heavy pieces when you actually use them.

Changed

• tracer scan is more robust on messy uploads: tolerant input/label aliasing
  and a clarification path so ambiguous files still produce a result.

Docs

• New guides for the watch decorator and the tracer cloud CLI.