jaz-evals report verification

Type: agentic-system-analyses/types/agentic-system-verification.md

Verification

The reports support a bounded account of implemented evaluation and context-update workflows, not demonstrated learning or a complete external runtime. I read all supplied reports, types, reconciliation and structural findings. All four correction-answer inputs are empty; the structural report says none. No structural failure requires routing. I rechecked the source checkout's HEAD against the boundary; its working tree was clean. Inspection was read-only, using SRC-1 at the frozen revision. No target, dependency, example or test was executed.

Record support and evidence strength

I compared every declaration and annotation with its cited behavior, checking producer-to-consumer transformations rather than relying on the analysts' validation statements. These are the consequential dispositions:

  • Central execution and delivery: RT-RTE-evaluation-attempt follows construction, setup, invocation, cleanup, grading and writing in SRC-1, src/jaz_evals/eval_harness.py. Directory exclusivity belongs to the central entry, not arbitrary direct attempts. Harness failure can preserve partial scores; construction, cleanup, grade and process failure remain exceptions. RT-OBJ-agent-env and RT-CLM-tool-boundary correctly distinguish extracted tool bindings from the directly readable _env attribute in SRC-1, src/jaz_evals/env.py. AppWorld's separate proxy checks in SRC-1, src/jaz_evals/envs/appworld.py do not repair the wrapper or establish hostile-code isolation.
  • JAZ delegation and fresh frames: RT-RTE-jaz-queue, RT-RTE-fresh-session, RT-CLM-ttsi-experiment and RT-BAP-domain-guidance preserve the difference between root-owned policy and Python-owned sequencing. SRC-1, src/jaz_evals/harnesses/jaz_harness.py separates ambient shared tools, local queue tools, root overrides and explicit single-task instruction forwarding. SRC-1, src/jaz_evals/harnesses/jaz_per_task.py rebuilds hooks per task and absorbs ordinary session exceptions. The TTSI text in SRC-1, prompts/ttsi/jaz.md requests testing and rejection; it does not independently enforce either. AppWorld has no is_complete override, so the base true result defeats a queue-exhaustion interpretation of the return hook. The workflow retains that important exception.
  • ACE update and later use: RT-RTE-ace-adaptation, RT-BAP-playbook-guidance, MEM-OBJ-playbook, MEM-OBJ-playbook-counts, MEM-OBJ-adaptation-artifacts, EPI-OBJ-ace-playbook and EPI-OBJ-curator-payload distinguish live advice, stored metadata and diagnostic provenance. SRC-1, src/jaz_evals/harnesses/ace.py directly carries the changed string to fresh solvers, caps adaptation trajectory input at its head, preserves prior caller state on adaptation exceptions and writes separate snapshots/call records. Snapshots are not automatically reloaded. Direct reflector/curator/merge calls bypass invocation-budget hooks while contributing to final accounting.
  • ACE checking and transformation: EPI-RTE-curator-check, EPI-RTE-curator-admission and EPI-RTE-count-reshape match SRC-1, src/jaz_evals/harnesses/ace_playbook.py: malformed structures reject the update, unknown sections drop individual operations, content is stringified, and count stripping preserves matched advice bodies. This is not a semantic-success gate. MEM-RTE-playbook-dedup, EPI-RTE-dedup-check and EPI-RTE-dedup-replacement correctly distinguish grouping, rewriting and the exposed merge-free alternative in SRC-1, src/jaz_evals/harnesses/ace_dedup.py. Their local parse-failure preservation language has the overlap exception retained below. EPI-CLM-playbook-advice accurately records advisory solver authority, not warranted knowledge.
  • Grading and submission: EPI-OBJ-task-verdict, EPI-RTE-appworld-check, EPI-RTE-appworld-disposition, EPI-RTE-stulife-feedback and WF-RTE-task-submission preserve different evaluators and consequences. SRC-1, src/jaz_evals/envs/appworld.py retries a non-scalar shape rejection once as None, grades despite submission failure, records grader exceptions as failed results and advances regardless of success. Its score denominator is the selected queue. SRC-1, src/jaz_evals/envs/stulife.py retains correctness internally but returns progress only on the inspected completion branch; ACE's renderer cannot recover withheld correctness. Neither score accepts a transferable diagnosis. The selected workflow's request, child handoff, root revision, recovery and artifact-delivery account is supported without claiming successful execution.
  • History and working context: RT-RTE-codeact-filter, MEM-RTE-jaz-history and MEM-RTE-smolagents-history distinguish actual hook edits from requested history construction/search. SRC-1, src/jaz_evals/hooks.py removes bindings and naming guidance, not ordinary task text. SRC-1, configs/stulife_jaz.yaml, configs/stulife_smolagents.yaml and prompts/long_horizon/jaz.md support explicit history transfer and printed search windows. The wrapper's suffix display does not truncate its _obj. RT-RTE-smolagents-chain matches the callback and return checks in SRC-1, src/jaz_evals/harnesses/smolagents_harness.py: the cue is not a forced handoff, and bounded child rejection differs from root rejection.
  • Letta seams: RT-RTE-letta-bridge, MEM-OBJ-memory-blocks, MEM-OBJ-conversation, MEM-OBJ-compaction-summary and MEM-OBJ-archival-memory preserve the boundary between installed inputs and opaque memory behavior. SRC-1, src/jaz_evals/harnesses/letta_harness.py initializes blocks, selects new task messages, serializes host calls, settles steps after client failures and drains diagnostics before teardown. Its lock is not an atomic delivery transaction or authentication. SRC-1, src/jaz_evals/harnesses/letta_patches/instrument_compaction.py produces summary text but logs usage, not a restorable summary checkpoint. The reports do not convert that seam into verified summary insertion or complete archive retrieval.
  • Components and downstream consumers: RT-CMP-lite-llm, RT-CMP-lite-llm-model, RT-CMP-letta-model and RT-CMP-sentence-transformer separate adapter configuration from weight identity and parameter updating. Their construction sites support the stated fixity limits, including name-keyed CPU encoder caching without a model revision. MEM-RTE-artifact-analysis and EPI-RTE-analysis-report describe the same later CLI consumer in SRC-1, src/jaz_evals/analyze_cli.py; trace selection in SRC-1, src/jaz_evals/analysis.py is compatible with that identity. RT-RTE-official-baseline correctly treats SRC-1, scripts/run_appworld_official_react.sh as a shipped bypass: successful waits and printed integrity diagnostics do not verify native execution or grading.

All emitted implementation/operation distinctions remain bounded. The independent theory-builder, reflection, learning and dispositional self-change assessments do not turn delivery into semantic dependence or improvement. No evidenced-absence records are declared. I found no unsupported system-complete negative to infer from the partial inventories.

I checked every Part of: relation against its declared scope. ACE and Letta objects are retained state within their parent routes; the dedup, history, grading and submission routes are contained operational substeps. The parent-kind differences are explained. No relation requires importing an excluded host responsibility. The reconciliation correctly supersedes the duplicate analysis route without changing its fields. The combined playbook and dedup records remain valid containers beside finer parts. The overlapping AppWorld completion records have distinct endpoints/functions. No unresolved cross-report disagreement or missing material part was identified; the dedup exception below is shared overstatement, not disagreement.

Omission questions were selected from the frozen tree and producer/consumer dependencies: could seed loading, dedup or later rendering introduce another advice-admission path; could completion and private submission invalidate the workflow's delivery guarantee; could a history wrapper or Letta patch establish stronger recall than the reports allow; and could a shipped artifact consumer close an automatic solver-update loop? Direct tracing of the files above disposed the first three, including the local overlap exception. Tree enumeration and bounded searches of SRC-1, scripts/_artifacts.py, scripts/release_traces.py and scripts/_curves.py located publication consumers rather than evidence that the analysis CLI automatically installs guidance. Their full transformation validity remains unassessed, as the reports already state; no historical numerical comparison is accepted.

Further optional omission expansion stopped because no identified material challenge to the bounded runtime, advisory-update or workflow conclusions remains undisposed. External dependency behavior cannot be recovered from this parent checkout. A full viewer, publication or grader audit would answer additional questions, but is not needed to sustain the emitted conclusions, which expressly withhold exhaustive coverage, historical reproduction, actual model compliance and causal benefit.

Blockers

none

Limits

  • Dedup parse-failure preservation is only local to a group's own attempted merge, not a guarantee that all its members survive the complete pass. MEM-RTE-playbook-dedup, EPI-RTE-dedup-replacement and the reconciliation's dedup discussion say an unparseable merge leaves the group intact while also acknowledging overlapping groups. SRC-1, src/jaz_evals/harnesses/ace_dedup.py uses a pass-wide absorbed set: a member shared with another successfully merged group can still be removed. Readers must withhold whole-group or whole-pass losslessness on partial merge failure. This local recovery exception does not change the supported similarity-selected rewriting route, structural rather than semantic admission, advisory downstream authority or absence of demonstrated benefit; no extracted comparison value or central conclusion depends on lossless failure recovery.

similar = [j for j in range(i + 1, len(embeddings)) if similarity(i, j) >= threshold] --- src/jaz_evals/harnesses/ace_dedup.py

absorbed.update(group[1:]) --- src/jaz_evals/harnesses/ace_dedup.py

elif index not in absorbed: out.extend(lines[block.line_start : block.line_end + 1]) --- src/jaz_evals/harnesses/ace_dedup.py