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167 lines
12 KiB
Plaintext
167 lines
12 KiB
Plaintext
Query: # Independent acceptance review of the self-update
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Act as the terminal reviewer in a proposer-reviewer self-evolution loop. You
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are inspecting a Hermes checkout that started from commit
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`85c8956ec7f2b4607509980794995e1c5e21e292` and now contains an uncommitted
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candidate self-update produced by another Hermes session after reading all of
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*AI Agents in Depth*. The proposer was not given any candidate improvement or
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alleged capability gap; it selected this change itself.
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Review the current diff and `BOOK_SELF_EVOLUTION_REPORT.md`. Inspect the actual
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production trajectory conversion and persistence paths rather than trusting
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the report. Determine whether the new evaluation metadata correctly derives
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conservative signals from the real persisted ShareGPT-format trajectory,
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preserves existing trajectory content and compatibility, and accurately
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documents its evidence boundary.
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Run these checks yourself (and any additional focused read-only checks needed):
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```bash
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uv run --with pytest pytest tests/agent/test_trajectory.py -q
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uv run --with pytest pytest tests/test_trajectory_compressor.py -q
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python3 -m py_compile agent/trajectory.py agent/agent_runtime_helpers.py
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run_agent.py
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git diff --check
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```
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Do not edit any file. Reject the candidate if you find a concrete correctness,
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production/test-parity, persistence, compatibility, safety, or material
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report-accuracy defect. Do not reject merely because this bounded candidate
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does not implement every opportunity found in the book or because no downstream
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ablation campaign has run; those are explicit evidence boundaries.
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Give concise evidence for the decision. End with exactly one machine-readable
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line:
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`VERDICT: ACCEPT`
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or
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`VERDICT: REJECT`
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If rejecting, list actionable findings above that final line.
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Initializing agent...
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⚠ tirith security scanner enabled but not available — command scanning will use pattern matching only
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────────────────────────────────────────
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┌─ Reasoning ──────────────────────────────────────────────────────────────────┐
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**Inspecting tools**
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I think we need to inspect the tools we have. It's important to consider using different
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functionalities like parallel git diff, status reports, and searches. I want to ensure
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everything is working as intended and that we get thorough insights. It might be
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a good idea to compile the reports effectively to capture all relevant information
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. I'll take some time to ensure I'm approaching this in a comprehensive way.
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└──────────────────────────────────────────────────────────────────────────────┘
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┊ 💻 preparing terminal…
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┊ 💻 preparing terminal…
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┊ 💻 preparing terminal…
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┊ 💻 $ git status --short + 2 commands 0.1s
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┊ 💻 $ git diff --check + 1 command 0.0s
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┊ 💻 $ uv run --with pytest pytest tests/agent/test_trajectory.py -q + 2 commands 0.8s
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┌─ Reasoning ──────────────────────────────────────────────────────────────────┐
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**Inspecting report and files**
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I need to inspect the report and check the full differences with other files, including
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the production paths. I should take note that the agent_runtime_helpers may not be
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modified, but the pycompile might have passed. It's important to read the relevant
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files and execute a git diff to see the changes clearly. This way, I'll have a comprehensive
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view of what has been altered or remained the same.
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└──────────────────────────────────────────────────────────────────────────────┘
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┊ 💻 preparing terminal…
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┊ 💻 preparing terminal…
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┊ 💻 preparing terminal…
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┊ 💻 preparing terminal…
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┊ 💻 $ git diff -- batch_runner.py mini_swe_runner.py + 2 commands 0.0s
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┊ 💻 $ python3 - <<'PY' from pathlib import Path p=Path('BOOK_SELF_EVOLUTION_REPORT.md') print(p.read_text()) PY 0.0s
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┊ 💻 $ python3 - <<'PY' from pathlib import Path for f in ['agent/trajectory.py','tests/agent/test_trajectory.py']: print('\n###',f) print(Path(f).read_text()) PY 0.0s
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┊ 💻 $ python3 - <<'PY' from pathlib import Path p=Path('run_agent.py') s=p.read_text() for needle in ['save_trajectory','build_trajectory_entry','trajectory =','sample_filename']: print('\n--',needle) start=0 while True: i=s.find(needle,start) if i<0: break print(s[max(0,i-350):i+700]) start=i+1 PY 0.0s
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┌─ Reasoning ──────────────────────────────────────────────────────────────────┐
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**Inspecting conversion issues**
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I need to look closely at the actual conversion process. I’m also concerned about
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possible entry field collisions since updating fields after evaluation might allow
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callers to override evaluations and completed conversations, which seems risky. Production
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fields don’t allow this, but the compatibility helper could be unsafe. There's a
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key bug where wrapped parsing incorrectly assumes an XML payload is a JSON object
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, so I definitely need to inspect the conversion more precisely.
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└──────────────────────────────────────────────────────────────────────────────┘
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┊ 💻 preparing terminal…
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┊ 💻 preparing terminal…
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┊ 💻 preparing terminal…
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┊ 💻 $ python3 - <<'PY' from pathlib import Path p=Path('agent/agent_runtime_helpers.py') + 2 commands 0.0s
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┊ 💻 $ git show 85c8956ec7f2b4607509980794995e1c5e21e292:agent/trajectory.py + 1 command 0.0s
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┊ 💻 $ python3 - <<'PY' from agent.agent_runtime_helpers import convert_to_trajectory_format class A: def _format_tools_for_system_message(self): return '' msgs=[{'role':'user','content':'x'},{'role':'assistant','content':'','tool_calls':[{'function':{'name':'a','arguments':'{}'}},{'function':{'name':'b','arguments':'{}'}}]},{'role':'tool','tool_call_id':'1','content':'{"success": false}'},{'role':'tool','tool_call_id':'2','content':'{"success": true}'}] t=convert_to_trajectory_format(A(),msgs,'x',True) print(t) from agent.trajectory import derive_trajectory_signals print(derive_trajectory_signals(t,True)) PY 0.1s
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┊ 💻 preparing terminal…
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┊ 💻 $ python3 - <<'PY' from pathlib import Path for p in Path('.').rglob('*.py'): if any(x in p.parts for x in ('.venv','.git','node_modules')): continue s=p.read_text(errors='ignore') if '"conversations"' in s or "'conversations'" in s: print(p) for i,line in enumerate(s.splitlines(),1): if 'conversations' in line: print(' ',i,line.strip()) PY 0.2s
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┌─ Reasoning ──────────────────────────────────────────────────────────────────┐
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**Reviewing test trajectory**
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I think I need to run a test trajectory compressor with the exact command provided
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. The report claims to have an accuracy of 44, but it seems a bit stale since it refers
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to a "third review round," while the current tests are six. I should look into whether
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the report includes prior review history. It mentions "new end-to-end test exercises
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," but there might be compatibility concerns regarding expected exact entry keys.
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I’ll also need to check if existing tests assert fields precisely.
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└──────────────────────────────────────────────────────────────────────────────┘
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┊ 💻 preparing terminal…
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┊ 💻 $ uv run --with pytest pytest tests/agent/test_trajectory.py -q + 4 commands 1.4s
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┌─ Reasoning ──────────────────────────────────────────────────────────────────┐
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**Evaluating potential defects**
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I need to make some decisions here. There's a report claiming that all ShareGPT producers
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are identified, but the mini SWE tests don't exercise the run_task function, only
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the builder.
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The function build_trajectory_entry allows callers to override certain fields, but
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the internal callers don't. This may raise some safety concerns with the API. Additionally
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, I noticed that the outcome says "failed" when completed is false, which could cause
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confusion.
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I'll need to review recent changes in the git diff to ensure everything is aligned
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correctly.**Finalizing safety evaluation**
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I need to ensure that the evaluation field remains user-controlled and that no mutations
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can occur. I'll check if the tests requested are being executed precisely as needed
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. After gathering all the evidence, I should make sure to present it in a succinct
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manner and include a machine-readable line at the end. The user has asked for conc
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iseness, so I should avoid using markdown. I also want to mention that the status
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had untracked tests and modified files, which isn't a defect.
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└──────────────────────────────────────────────────────────────────────────────┘
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╭─ ⚕ Hermes ───────────────────────────────────────────────────────────────────╮
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Reviewed the current diff and BOOK_SELF_EVOLUTION_REPORT.md.
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Evidence:
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- Production conversion emits bundled <tool_response> envelopes with nested content; derive_trajectory_signals() correctly parses these and counts each recognized payload once.
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- Malformed, non-JSON, and unsupported payloads fail closed.
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- Persisted conversations content is passed through unchanged.
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- Shared entry construction now covers the identified trajectory persistence paths: agent/trajectory.py, run_agent.py, batch_runner.py, and mini_swe_runner.py.
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- Existing fields and output behavior remain preserved, including batch metadata, sample query fields, filenames, JSONL append behavior, and error records.
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- Evaluation metadata is additive and does not alter prompts, toolsets, message ordering, or runtime mutation behavior.
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- The report accurately states that completed is a runtime completion signal, not task correctness, and that the metadata is low-level evidence rather than a complete evaluator.
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- Focused checks passed:
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- tests/agent/test_trajectory.py: 6 passed
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- tests/test_trajectory_compressor.py: 21 passed
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- Additional batch durability/checkpoint/integration tests: 17 passed
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- Requested compilation checks passed
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- git diff --check passed
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No concrete correctness, persistence, compatibility, safety, test-parity, or material report-accuracy defect found.
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VERDICT: ACCEPT
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╰──────────────────────────────────────────────────────────────────────────────╯
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Resume this session with:
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hermes --resume 20260802_044158_e54ef4
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Session: 20260802_044158_e54ef4
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Duration: 33s
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Messages: 19 (1 user, 17 tool calls)
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