git:20260430.e50709e to git:20260629.fe782dc
54 added, 46 removed. Audit A to A.
- ---
- name: tlamatini-planner-trace-replay
- description: Replay the most recent global execution planner trace from tlamatini.log and explain why each capability got the score it did.
- metadata:
- openclaw:
- emoji: "🔁"
- tlamatini:
- runtime: in-process
- requires_tools: ["chat_agent_executer"]
- requires_mcps: ["Files-Search"]
- budget:
- max_iterations: 6
- max_seconds: 60
- max_tokens: 12000
- permissions:
- filesystem:
- read: ["Tlamatini/tlamatini.log","Tlamatini/agent/global_execution_planner.py"]
- write: []
- shell:
- - "python -c \"open('Tlamatini/tlamatini.log').read()[-200000:]\""
- network: deny
- db: deny
- inputs:
- - { name: turns, type: integer, required: false, default: 1,
- description: "How many recent planner traces to replay (1 = most recent)" }
- outputs:
- - { name: traces, type: array, required: true }
- - { name: notes, type: string, required: true }
- triggers:
- keywords: ["planner trace","planner replay","why did planner","planner score"]
- ---
-
- # Planner trace replay
-
- Read the tail of `Tlamatini/tlamatini.log`. Locate the most recent
- `build_global_execution_plan` invocation and the per-capability scoring
- output.
-
- For each capability the planner scored:
- - record its score and the keywords that contributed
- - record whether it was selected (top-N cap, see
- `max_selected_tools = 20` per gotchas.md #11)
- - if a capability that "should" have been selected was not, explain why
-
- Return `{ traces: [...], notes }`. Keep traces under 32 KB total to
- preserve context.
+ ---
+ name: tlamatini-planner-trace-replay
+ description: Replay the most recent global execution planner trace from tlamatini.log and explain why each capability got the score it did.
+ metadata:
+ openclaw:
+ emoji: "🔁"
+ tlamatini:
+ runtime: in-process
+ requires_tools: ["chat_agent_executer"]
+ requires_mcps: ["Files-Search"]
+ budget:
+ max_iterations: 6
+ max_seconds: 60
+ max_tokens: 12000
+ permissions:
+ filesystem:
+ read: ["Tlamatini/tlamatini.log","Tlamatini/agent/global_execution_planner.py"]
+ write: []
+ shell:
+ - "python -c \"open('Tlamatini/tlamatini.log').read()[-200000:]\""
+ network: deny
+ db: deny
+ inputs:
+ - { name: turns, type: integer, required: false, default: 1,
+ description: "How many recent planner traces to replay (1 = most recent)" }
+ outputs:
+ - { name: traces, type: array, required: true }
+ - { name: notes, type: string, required: true }
+ triggers:
+ keywords: ["planner trace","planner replay","why did planner","planner score"]
+ ---
+ <!--
+ ═══════════════════════════════════════════════════════════════════
+ ✦ T L A M A T I N I ✦ — "one who knows"
+ Created by Angela López Mendoza · @angelahack1
+ Developer · Architect · Creator of Tlamatini
+ Tlamatini Author Banner — do not remove (Angela's name is kept in every build)
+ ═══════════════════════════════════════════════════════════════════
+ -->
+
+ # Planner trace replay
+
+ Read the tail of `Tlamatini/tlamatini.log`. Locate the most recent
+ `build_global_execution_plan` invocation and the per-capability scoring
+ output.
+
+ For each capability the planner scored:
+ - record its score and the keywords that contributed
+ - record whether it was selected (top-N cap, see
+ `max_selected_tools = 20` per gotchas.md #11)
+ - if a capability that "should" have been selected was not, explain why
+
+ Return `{ traces: [...], notes }`. Keep traces under 32 KB total to
+ preserve context.