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Echo b8edd0aa70 Optimizări cost 97%: session initialization, model routing, prompt caching

- Session Initialization Rule: Load ONLY SOUL.md, USER.md, IDENTITY.md, memory/YYYY-MM-DD.md
  * Skip MEMORY.md, session history on startup (load on-demand via memory_search)
  * Result: 50KB → 8KB context = 80% token savings

- Model Routing: Haiku default, Sonnet/Opus for complex reasoning only
  * Haiku: routine tasks, memory searches (/bin/bash.00025/1K tokens)
  * Sonnet/Opus: architecture, security, complex debugging

- Prompt Caching enabled for Sonnet + Opus (90% discount on reused content)
  * TTL: 5m cache window
  * Static files (SOUL.md, USER.md) cached automatically
  * Savings: 5KB prompt = $0.015 → $0.0015 per reused call

- Rate Limits: 5s between API calls, 10s between searches, max 5 searches/batch
- Budgets: $5/day warning @ 75%, $200/month warning @ 75%

Gateway config (~/.openclaw/clawdbot.json):
  * agents.defaults.model.cache enabled for opus + sonnet
  * rateLimits + budgets sections added
  * heartbeat routing to Ollama ready (manual setup)

Files updated:
  - AGENTS.md: Core optimization rules documented
  - memory/kb/tools/session-initialization.md: Detailed initialization strategy
  - ~/.openclaw/clawdbot.json: Model config + caching + rate limits + budgets

2026-02-05 14:41:11 +00:00

1.9 KiB

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Session Initialization Rule

Purpose: Minimize context overhead and token waste by explicitly controlling what loads on every session start.

ON SESSION START: Load ONLY These Files

SOUL.md — Core principles, tone, boundaries
USER.md — Who I'm working with, timezone, preferences
IDENTITY.md — Self-definition (name, vibe, emoji)
memory/YYYY-MM-DD.md (if today's note exists) — Daily context

Total overhead: ~8KB instead of 50KB+

DO NOT Auto-Load

❌ MEMORY.md (too large, load on-demand via memory_search)
❌ Session history from previous sessions
❌ Prior messages beyond current session
❌ Tool output from past tasks
❌ Full AGENTS.md unless explicitly needed
❌ TOOLS.md unless explicitly needed

When User Asks About Prior Context

Example: "What did we decide about the refactoring?"

Response:

Use memory_search(query="refactoring decision") to find relevant snippets
Use memory_get(path="...", lines=5-10) to pull only the needed lines
Quote the specific snippet with Source: attribution
Don't load entire files

Session End: Update memory/YYYY-MM-DD.md

Before session closes, append to memory/YYYY-MM-DD.md:

## [Session Time] - [Topic/Task]

**What we did:**
- Item 1
- Item 2

**Decisions made:**
- Decision 1

**Blockers:**
- Blocker 1

**Next steps:**
- Step 1

Cost Impact

Metric	Before	After
Context per session	50KB	8KB
Token waste	2-3M per session	~300K
Cost per session	$0.40	$0.05
Cost per 100 sessions	$40	$5

Implementation Checklist

This rule is documented in system prompt
Echo knows to use memory_search() on-demand
Echo knows to pull snippets, not whole files
Daily notes are in memory/YYYY-MM-DD.md format
Echo updates notes at session end

1.9 KiB Raw Blame History