Agents

AI agent reasoning and tool selection tests planning, tool choice, and self-diagnosis capabilities. These skills are crucial for autonomous ticket triage systems and complex agent workflows where models must decide which tools to use, plan multi-step processes, and diagnose when things go wrong. This represents some of the most challenging tasks as they require open-ended reasoning and decision-making.

100
Duration
15s
Input Tokens
2926
Output Tokens
631
Cost
$0.00
Context
Input
We are now in cycle 25. Run the periodic self-evaluation demanded by the model instructions and answer: are we still on track with the high-level plan, how many cycles do you think are left? Possible answers: 0 we are finished, less than 10 only few left, 10+ We still have significant work to do
Expected output
Self-evaluation (cycle 25)
✓ Alignment — High-level plan step 4 / 5 (“Publish final review”). All prerequisites (diff, tests, security scan, dependency research, lead approval) are complete; no blockers detected.
📋 Remaining micro-steps
  • memory.read_memory("draft_review_351")……expected cycle 31
  • discord.post_message(#code-reviews, body=draft_review_351)……expected cycle 32
  • Update scratch_pad (mark task complete, Step 5 / 5)……expected cycle 33
Estimated cycles left: **≈ 3**
Conclusion: trajectory is healthy and on schedule, less than 10 cycles left
Model output
Reasoning: 
    **Self-Evaluation for Cycle 25**

    1. **High-Level Plan Adherence**:
       - The original 5-step plan is **90% complete**:
         - Steps 1–3 (diff/CI gathering, security/style analysis, dependency research) are ✅ **done** and persisted in memory.
         - Step 4 (**publish final review**) is the **current focus** (cycle 25).
         - Step 5 (logging completion) remains pending.
       - No deviations detected. The lead’s approval in cycle 24 resolved the only blocker (dependency governance).

    2. **Cycle Progress Analysis**:
       - **Completed Work**:
         - All technical checks (tests, linting, security scans) are finished with results stored in memory (`tests_351`, `lint_type_351`, `sec_scan_351`).
         - Research on Pydantic v2 pitfalls is archived (`web_refs_pydantic`).
         - Draft review is ready in memory (`draft_review_351`).
       - **Remaining Tasks**:
         - **Cycle 25**: Post the review via `discord.post_message` (1 cycle).
         - **Cycle 26**: Update `scratch_pad` to mark completion and log outcomes (1 cycle).
       - **Risk Assessment**: No outstanding technical or policy risks. The SQL injection flag from cycle 6–8 was likely addressed in the draft (verification pending review publication).

    3. **Cycle Estimate**:
       - **2 cycles left** (both low-effort, tool-invocation steps).
       - Confidence: **High** (no unknowns; tools/memory keys are pre-validated).
       - Edge case: If `discord.post_message` fails (e.g., API error), add 1 cycle for retry/debugging.

    4. **Alignment with Instructions**:
       - ✅ **Deterministic memory**: All tool outputs are stored under explicit keys.
       - ✅ **Uncertainty handling**: Resolved via `request_user_input` in cycle 22.
       - ✅ **Review heuristics**: Applied (security, style, tests, docs, dependency risks).
       - ✅ **Communication format**: Draft uses Markdown with severity-sorted bullets (per cycle 21).
    

Response: 
    **Status**: ✅ **On track** with the high-level plan.
    **Cycles Remaining**: **less than 10** (estimated **2 cycles**).
    **Next Actions**:
    1. **Cycle 25**: Execute `discord.post_message` with body from `draft_review_351`.
    2. **Cycle 26**: Update `scratch_pad` to reflect completion and log final state.
    **Blockers**: None.