{"task_id":"st_01a013b7","status":"completed","residency_state":"evicted","parent_session_id":"01a00387-aaf8-7f2f-89e3-e24c1af24859","root_session_id":"01a00387-aaf8-7f2f-89e3-e24c1af24859","depth":1,"execution_mode":"in-process","model":"clinepass/cline-pass/deepseek-v4-flash","notify_on_terminal":true,"created_at":"2026-08-18T07:13:29.400Z","updated_at":"2026-08-19T12:12:41.257Z","notification":{"run_epoch":0,"notified_epoch":0},"name":"bootstrap-lineage-verifier-audit","task_summary":"Audit bootstrap ACTIVE verifier mismatch","description":"Audit bootstrap ACTIVE verifier mismatch","agent_type":"explore","tool_allow":["read","find","grep","ls","bash","lsp_diagnostics","lsp_goto_definition","lsp_find_references","lsp_symbols"],"requested_model":{"provider":"clinepass","model_id":"cline-pass/deepseek-v4-flash","display":"clinepass/cline-pass/deepseek-v4-flash","source":"agent","reasoning_effort":"low"},"fallback_models":[{"provider":"openai-codex","model_id":"gpt-5.4-mini","display":"openai-codex/gpt-5.4-mini","source":"agent","reasoning_effort":"medium"},{"provider":"openai-codex","model_id":"gpt-5.6-luna","display":"openai-codex/gpt-5.6-luna","source":"agent","reasoning_effort":"high"}],"resolved_model":{"provider":"clinepass","model_id":"cline-pass/deepseek-v4-flash","display":"clinepass/cline-pass/deepseek-v4-flash","source":"agent","reasoning_effort":"low","reasoning":"low"},"spawn_spec":{"version":1,"cwd":"/home/cube/projects/richard/traning coach","prompt":"Goal: read-only independently diagnose the `bootstrap ACTIVE lineage is invalid` failure after a full isolated Golden Path cleanup. Inspect `/home/cube/projects/richard/hermes-agent/scripts/source_golden_path.py`, `scripts/verify_source_golden_path.py`, RoomBootstrapStore schema/transitions, cleanup candidate/archive behavior in profile source `/home/cube/.cache/task26-strict-successor-1786976146/src-p`, and relevant tests. Determine whether native bootstrap ledger after activation/cleanup should contain exactly one session, what state string is canonical, where verifier should read it (live vs archive), and which compound condition fails under the driver fixture. Find any projection/archiving path mismatch or lifecycle row retained. Propose one focused RED test and smallest correct verifier/driver/production fix; do not edit or run live. Return evidence with file/line references and PASS/BLOCK.","instructions":"You are a codebase search specialist. Your job: find files and code, return actionable results.\n\n## Your Mission\n\nAnswer questions like:\n- \"Where is X implemented?\"\n- \"Which files contain Y?\"\n- \"Find the code that does Z\"\n\n## CRITICAL: What You Must Deliver\n\nEvery response MUST include:\n\n### 1. Intent Analysis (Required)\nBefore ANY search, wrap your analysis in <analysis> tags:\n\n<analysis>\n**Literal Request**: [What they literally asked]\n**Actual Need**: [What they're really trying to accomplish]\n**Success Looks Like**: [What result would let them proceed immediately]\n</analysis>\n\n### 2. Parallel Execution (Required)\nLaunch **3+ tools simultaneously** in your first action. Never sequential unless output depends on prior result.\n\n### 3. Structured Results (Required)\nAlways end with this exact format:\n\n<results>\n<files>\n- /absolute/path/to/file1.ts - [why this file is relevant]\n- /absolute/path/to/file2.ts - [why this file is relevant]\n</files>\n\n<answer>\n[Direct answer to their actual need, not just file list]\n[If they asked \"where is auth?\", explain the auth flow you found]\n</answer>\n\n<next_steps>\n[What they should do with this information]\n[Or: \"Ready to proceed - no follow-up needed\"]\n</next_steps>\n</results>\n\n## Success Criteria\n\n- **Paths** - ALL paths must be **absolute** (start with /)\n- **Completeness** - Find ALL relevant matches, not just the first one\n- **Actionability** - Caller can proceed **without asking follow-up questions**\n- **Intent** - Address their **actual need**, not just literal request\n\n## Failure Conditions\n\nYour response has **FAILED** if:\n- Any path is relative (not absolute)\n- You missed obvious matches in the codebase\n- Caller needs to ask \"but where exactly?\" or \"what about X?\"\n- You only answered the literal question, not the underlying need\n- No <results> block with structured output\n\n## Constraints\n\n- **Read-only**: You cannot create, modify, or delete files\n- **No emojis**: Keep output clean and parseable\n- **No file creation**: Report findings as message text, never write files\n\n## Tool Strategy\n\nUse the right tool for the job:\n- **Semantic search** (definitions, references): LSP tools (lsp_goto_definition, lsp_find_references, lsp_symbols, lsp_diagnostics)\n- **Structural patterns** (function shapes, class structures): combine LSP symbols/references with focused grep and read calls\n- **Text patterns** (strings, comments, logs): grep\n- **File patterns** (find by name/extension): find\n- **Remote evidence**: use the structured read-only bash broker only for supported gh or HTTPS retrieval requests; it is not a general shell\n\nFlood with parallel calls. Cross-validate findings across multiple tools."},"host_pid":1761519,"final_response":"I read this as a finalization task: independently confirm or contradict the earlier diagnosis and add the native ledger digest/schema verification requirements. I've re-verified the ledger's serialization, digest computation, and the exact digest algorithm below.\n\n## Independent finalization\n\nI traced the ledger lifecycle end-to-end again and **confirm the primary diagnosis**: the verifier's `sessions[0].get(\"customer_key\")` at `verify_source_golden_path.py:329` reads a field the production ledger never emits at top level, so the customer binding compares as `None != \"client_001\"` and the OR-condition raises `bootstrap ACTIVE lineage is invalid`. The live ledger is objectively correct.\n\n### Confirmed sub-findings\n\n- **Cardinality** — exactly one session. The driver calls `RoomBootstrapStore.prepare_rehearsal_customer_invite` once (`source_golden_path.py`), and cleanup never archives/prunes the shared ledger. `source_inventory` in `src-p/checkin_cli/customer_cleanup_fs.py` only inventories `data/customers/{key}/**` plus explicit `candidate_paths`; the driver passes none. The ledger survives intact.\n- **State** — `BootstrapState.ACTIVE` (\"ACTIVE\"), written by `activate_customer_cutover` and asserted by the driver. The `state` field IS top-level (`telegram_customer_bootstrap.py:846`), so the verifier's `state == \"ACTIVE\"` clause passes.\n- **Where to read** — LIVE: `data/onboarding/telegram-customer-bootstrap-v1/ledger.json`. Confirmed a shared authority, never archived. The query returns the correct live target.\n- **No retained lifecycle row / no archiving mismatch** — the sole defect is the verifier's nested-vs-top-level accessor.\n\n### Contradiction note (deliberate, minor)\n\nI do **not** recommend a production/driver change — the ledger is correct. `session.customer_key` exists only as a Python `@property` (`telegram_customer_bootstrap.py:144`) over `customer_draft.customer_key`; it is not a serialized top-level field. Fixing production to emit a redundant top-level `customer_key` would change the ledger digest and contradict the schema; the right target is the verifier.\n\n## Native ledger digest/schema verification requirements\n\nThese apply if the verifier must prove the ledger is authoritative (it currently does **not**):\n\n1. **Schema authority** — require `ledger[\"schema\"] == \"telegram-customer-bootstrap-v1\"` (`_LEDGER_SCHEMA`, line 33). The store enforces the ledger has exactly the key set `{schema, sessions, digest}` (`_read_unlocked`, lines 770-771); the verifier should mirror that and reject any member addition/removal.\n2. **Digest recomputation** — the ledger self-authenticates: `digest == sha256hex(canonical({\"schema\": schema, \"sessions\": sessions}))` (`_write_unlocked`, lines 788-792; validated at lines 772-776). The verifier must recompute this exact digest from the loaded document and compare. This proves the ledger bytes were not mutation-edited post-write and that `sessions` is byte-identical to the original `_session_to_dict` output.\n3. **Canonicalization contract (must match the store exactly)** — `_canonical_bytes` = `json.dumps(sort_keys=True, separators=(\",\", \":\"), ensure_ascii=False, allow_nan=False)` then UTF-8 (`_canonical_json`/`_sha256`). A naive `json.dumps` with default separators will **not** reproduce the digest. The verifier already has a compatible `canonical()` (`ensure_ascii=False, sort_keys=True, separators=(\",\", \":\")`), so it can feed `{\"schema\":..., \"sessions\":[...]}` and recompute. Note this canonicalization differs from the cleanup fd's `ascii_only` usage elsewhere — bootstrap digest must use `ensure_ascii=False`.\n4. **Session field completeness** — to recompute the digest correctly the verifier must carry the full serialized session dicts unmodified (the digest in the ledger is over exactly what `_session_to_dict` produced, including `sid_hash`, `role_claims`, `recovery_attempts`, timestamps, `failure_code`, etc.). Trimming or re-ordering any field invalidates the recompute. Recommendation: derive `customer_key` from `sessions[0][\"customer_draft\"][\"customer_key\"]` without dropping/rewriting the session dict, so the digest check stays faithful.\n5. **File integrity** — `private(bootstrap_path)` already enforces a single regular file, 0600, owned by the caller; this complements (not replaces) digest verification. `data/…/telegram-customer-bootstrap-v1/` is the live row, so the path identity is fixed by the ROOM bootstrap path constant.\n\nRecommended verifier widening at `verify_source_golden_path.py:325-331`: (a) fix the nested read at line 329; (b) assert `schema` + recomputed `digest` per the store's canonical form before trusting `sessions`. The digest/schema checks can be folded into the refactored `bootstrap_lineage(bootstrap_doc, customer) -> str` helper so the single RED test drives both the binding fix and the ledger-authenticity requirement.\n\n<results>\n<files>\n- /home/cube/projects/richard/hermes-agent/scripts/verify_source_golden_path.py - Line 329: reads non-existent top-level `customer_key`; does not currently verify ledger schema/digest.\n- /home/cube/projects/richard/hermes-agent/gateway/platforms/telegram_customer_bootstrap.py - Lines 33, 770-776, 784-792: `_LEDGER_SCHEMA`, ledger shape set, and digest algorithm the verifier must mirror; lines 842-847 serialize the nested `customer_draft.customer_key`; line 144: `customer_key` is a property only.\n- /home/cube/projects/richard/hermes-agent/scripts/source_golden_path.py - Creates exactly one session, transitions to ACTIVE, passes no bootstrap candidates to cleanup.\n- /home/cube/.cache/task26-strict-successor-1786976146/src-p/checkin_cli/customer_cleanup_fs.py - `source_inventory`/`prune_sources` cover only `data/customers/{key}/**` and explicit candidates; the shared bootstrap ledger is never archived/pruned.\n- /home/cube/.cache/task26-strict-successor-1786976146/src-p/checkin_cli/customer_cleanup_inventory.py - Post-cleanup inventory never counts the shared bootstrap ledger.\n- /home/cube/projects/richard/hermes-agent/tests/gateway/test_source_golden_path_verifier.py - Destination for the focused RED test (nested-binding + digest/schema).\n</files>\n\n<answer>\nDiagnosis confirmed and independent: the failure is a verifier accessor defect at `scripts/verify_source_golden_path.py:329`. The production ledger is correct (one ACTIVE session for `client_001` on the live path, untouched by cleanup). The verifier reads `sessions[0].get(\"customer_key\")` (always `None`) where the canonical binding lives at `sessions[0][\"customer_draft\"][\"customer_key\"]`. No driver or production change needed.\n\nNative ledger integrity requirements to fold into the verifier: schema must equal `telegram-customer-bootstrap-v1`, key set must be exactly `{schema, sessions, digest}`, and digest must equal `sha256hex(canonical_json({\"schema\": ..., \"sessions\": [...]}))` using the store's canonical form (`ensure_ascii=False, sort_keys=True, separators=(\",\", \":\")`). Verifier fix should be a single refactor of lines 328-331 into a `bootstrap_lineage` helper that (a) reads the nested `customer_draft.customer_key`, (b) asserts schema + recomputed digest, and (c) returns `session_id`; the RED test drives all of it.\n</answer>\n\n<next_steps>\n1. Add the RED test to `tests/gateway/test_source_golden_path_verifier.py` feeding a real `_session_to_dict`-shaped ledger (nested `customer_draft.customer_key`, top-level `state: \"ACTIVE\"`, embedded schema/digest) and assert `bootstrap_lineage` returns the expected `session_id`; confirm it fails today.\n2. Apply the verifier refactor at `verify_source_golden_path.py:328-331`: nested-key read plus schema/digest verification using the store's exact canonicalization.\n3. Re-run the isolated Golden Path driver+verifier; expect `ACTUAL_SOURCE_GOLDEN_PATH_PASS`. No production edit anticipated.\n</next_steps>","run_stats":{"runtime_ms":213006,"turns":13,"tool_calls":30,"output_tokens":13842,"total_tokens":454377,"generation_ms":157555,"tokens_per_second":88,"cost_usd":0,"cache_hit_rate_last":0.9411948763078126,"cache_hit_rate_run":0.8739918508177557}}