OpenClaw-bot-review/idea_ledger.json at main · xmanrui/OpenClaw-bot-review · GitHub

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{
  "proposed": [
    {
      "id": "ingestion-openclaw-model-routing-optimization",
      "title": "OpenClaw Model Routing Optimization",
      "summary": "Frequent model/routing discussion suggests smarter model selection based on task complexity, latency, and cost.",
      "created_at": "2026-04-30T21:10:44.620Z",
      "stage": "opportunity",
      "council_session_id": "auto-ingestion",
      "promotion_reason": "Detected from usage pattern analysis (17521 signals)",
      "proposing_model": "ollama-cloud/qwen3.5:397b-cloud",
      "origin_type": "proactive",
      "origin_tags": [
        "⚙️ Efficiency Gap",
        "🔍 Pattern Detected"
      ],
      "proactive_lens": "efficiency",
      "idea_ledger_id": "ledger-openclaw-model-routing-optimization",
      "council_confidence": "high",
      "debate_summary": [
        "Evidence: 17521 matching usage signals found in available session/log text",
        "Impact: Frequent model/routing discussion suggests smarter model selection based on task complexity, latency, and cost.",
        "Resource check: start with a narrow, reversible implementation before broader automation"
      ],
      "key_disagreements": [
        {
          "model": "devil-advocate",
          "concern": "Signal could be inflated by repeated discussion rather than repeated operational pain",
          "resolution": "Require dedupe and keep items in trending/opportunity until supported by concrete task telemetry"
        }
      ],
      "council_recommendation": "Add read-only model routing telemetry first, then A/B test routing rules by task class and cost/latency outcome.",
      "passing_reasoning": "high confidence based on 17521 observed signals and low-risk staged rollout path",
      "escalation_type": "auto",
      "session_type": "scheduled",
      "scheduled_for": "2026-04-30T21:10:44.620Z",
      "session_time_of_day": "evening",
      "decision": null,
      "is_hidden": false,
      "added_at": "2026-04-30T21:10:44.758Z"
    },
    {
      "id": "ingestion-telegram-webhook-integration",
      "title": "Telegram Webhook Integration",
      "summary": "Telegram-heavy operations would benefit from async processing, idempotency, and status feedback.",
      "created_at": "2026-04-30T21:10:44.620Z",
      "stage": "opportunity",
      "council_session_id": "auto-ingestion",
      "promotion_reason": "Detected from usage pattern analysis (3495 signals)",
      "proposing_model": "ollama-cloud/qwen3.5:397b-cloud",
      "origin_type": "proactive",
      "origin_tags": [
        "🏗️ Infrastructure Idea",
        "🔍 Pattern Detected"
      ],
      "proactive_lens": "infrastructure",
      "idea_ledger_id": "ledger-telegram-webhook-integration",
      "council_confidence": "high",
      "debate_summary": [
        "Evidence: 3495 matching usage signals found in available session/log text",
        "Impact: Telegram-heavy operations would benefit from async processing, idempotency, and status feedback.",
        "Resource check: start with a narrow, reversible implementation before broader automation"
      ],
      "key_disagreements": [
        {
          "model": "devil-advocate",
          "concern": "Signal could be inflated by repeated discussion rather than repeated operational pain",
          "resolution": "Require dedupe and keep items in trending/opportunity until supported by concrete task telemetry"
        }
      ],
      "council_recommendation": "Back Telegram-triggered long jobs with the detached runner/outbox pattern, idempotency keys, and confirmation gates for side effects.",
      "passing_reasoning": "high confidence based on 3495 observed signals and low-risk staged rollout path",
      "escalation_type": "auto",
      "session_type": "scheduled",
      "scheduled_for": "2026-04-30T21:10:44.620Z",
      "session_time_of_day": "evening",
      "decision": null,
      "is_hidden": false,
      "added_at": "2026-04-30T21:10:44.758Z"
    },
    {
      "id": "ingestion-docker-deployment-pipeline",
      "title": "Docker Deployment Pipeline",
      "summary": "Repeated build/deploy signals suggest a repo-specific CI/CD pipeline with caching and approval gates.",
      "created_at": "2026-04-30T21:10:44.620Z",
      "stage": "opportunity",
      "council_session_id": "auto-ingestion",
      "promotion_reason": "Detected from usage pattern analysis (4979 signals)",
      "proposing_model": "ollama-cloud/qwen3.5:397b-cloud",
      "origin_type": "proactive",
      "origin_tags": [
        "⚙️ Efficiency Gap",
        "🔍 Pattern Detected"
      ],
      "proactive_lens": "efficiency",
      "idea_ledger_id": "ledger-docker-deployment-pipeline",
      "council_confidence": "high",
      "debate_summary": [
        "Evidence: 4979 matching usage signals found in available session/log text",
        "Impact: Repeated build/deploy signals suggest a repo-specific CI/CD pipeline with caching and approval gates.",
        "Resource check: start with a narrow, reversible implementation before broader automation"
      ],
      "key_disagreements": [
        {
          "model": "devil-advocate",
          "concern": "Signal could be inflated by repeated discussion rather than repeated operational pain",
          "resolution": "Require dedupe and keep items in trending/opportunity until supported by concrete task telemetry"
        }
      ],
      "council_recommendation": "Start with one dashboard repository workflow: build, cache dependencies, run tests, and require approval for production pushes.",
      "passing_reasoning": "high confidence based on 4979 observed signals and low-risk staged rollout path",
      "escalation_type": "auto",
      "session_type": "scheduled",
      "scheduled_for": "2026-04-30T21:10:44.620Z",
      "session_time_of_day": "evening",
      "decision": null,
      "is_hidden": false,
      "added_at": "2026-04-30T21:10:44.758Z"
    },
    {
      "id": "ingestion-self-improvement-automation",
      "title": "Self-Improvement Automation",
      "summary": "Self-improvement dashboard changes should flow from real usage evidence into reviewable improvement items.",
      "created_at": "2026-04-30T21:10:44.620Z",
      "stage": "opportunity",
      "council_session_id": "auto-ingestion",
      "promotion_reason": "Detected from usage pattern analysis (2383 signals)",
      "proposing_model": "ollama-cloud/qwen3.5:397b-cloud",
      "origin_type": "proactive",
      "origin_tags": [
        "🔍 Pattern Detected",
        "🔍 Pattern Detected"
      ],
      "proactive_lens": "pattern",
      "idea_ledger_id": "ledger-self-improvement-automation",
      "council_confidence": "high",
      "debate_summary": [
        "Evidence: 2383 matching usage signals found in available session/log text",
        "Impact: Self-improvement dashboard changes should flow from real usage evidence into reviewable improvement items.",
        "Resource check: start with a narrow, reversible implementation before broader automation"
      ],
      "key_disagreements": [
        {
          "model": "devil-advocate",
          "concern": "Signal could be inflated by repeated discussion rather than repeated operational pain",
          "resolution": "Require dedupe and keep items in trending/opportunity until supported by concrete task telemetry"
        }
      ],
      "council_recommendation": "Use this canonical ingestion API as the single source of truth, with dedupe, complete schema, and evidence snippets.",
      "passing_reasoning": "high confidence based on 2383 observed signals and low-risk staged rollout path",
      "escalation_type": "auto",
      "session_type": "scheduled",
      "scheduled_for": "2026-04-30T21:10:44.620Z",
      "session_time_of_day": "evening",
      "decision": null,
      "is_hidden": false,
      "added_at": "2026-04-30T21:10:44.758Z"
    }
  ],
  "adopted": [],
  "rejected": [],
  "dormant": []
}