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Releases: beibeihk/dsh-agent-observability

v0.1.0 — Event-grounded agent observability

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@beibeihk beibeihk released this 03 Oct 11:37

v0.1.0

First community release of an event-grounded, privacy-first observability and reliability plugin for DeepSeek Harness.

  • Installs through the official plugin manager from npm or the identical prebuilt .tgz asset, using dsh.bundle.patch; no core changes.
  • Reconstructs session/turn/step/tool trajectories through durable events and async session-query leases; provides /observe when human commands are available.
  • Computes reliability metrics and nine deterministic F-rules plus informational tool-error evidence; exports JSON/JSONL/CSV/evaluation cases, plaintext and offline HTML.
  • Defaults to metadata only, redacts optional captured content, excludes reasoning/stream data, and sends no telemetry.
  • Includes 36 offline tests, five golden fixtures, semantic with/without comparison, real persistence resume/fork/disposal tests, the official CLI installation demo, 130 synthetic traces and transparent performance results.
  • English/Chinese README, technical report, blog draft, study guide with 35 answered interview questions, and factual CV/profile material.

Tested: published DeepSeek Harness 0.2.0-rc.2, Cordis 4.0.4. No compatibility claim for the alpha channel or future releases.

Install:

npm install --global @deepseek-ai/dsh@0.2.0-rc.2 pnpm
dsh plugin --profile web add @beibeihk/dsh-agent-observability@0.1.0
dsh web

Run a task and submit /observe; open its local report.html. npm v0.1.0 was published on 2026-10-15 (Asia/Hong_Kong). Its integrity matches the original attached release tarball, which remains an alternative installation source. Publication and registry installation verification.

Known limits: pattern-based privacy protection; usage only where reported; no task-correctness or progress judge; individually atomic files rather than a multi-file transaction; no automatic disk pruning; no source-watcher HMR stress claim. Metadata observation added 34.20 μs/event (+79.67%) in the recorded 10,000-message official Session-dispatch microbenchmark. This excludes model/disk latency. Synthetic precision/recall 1.0 is not real-world accuracy.

Technical report · Actual demo screenshot