tools-only MIRA Research & Bug Fixes
2026-02-09: Segment Collapse Authentication Fix
Problem
Segment collapse failing every 5 minutes with 401 authentication errors:
Generic OpenAI client HTTP error: 401 - Invalid bearer token
COLLAPSE FAILURE: Segment ... collapse failed
Segments not compressing → growing token overhead → rate limit issues
Root Cause
Database misconfiguration in internal_llm table:
name: summary
endpoint_url: https://api.anthropic.com/v1/messages
api_key_name: anthropic_key
When endpoint_url is set, LLMProvider.generate_response() routes to GenericOpenAIClient, designed for OpenAI-compatible APIs. Anthropic requires different auth headers:
- OpenAI-compatible:
Authorization: Bearer {key} - Anthropic:
x-api-key: {key}+anthropic-version: 2023-06-01
Solution
Update database to empty string (NOT NULL constraint prevents NULL):
import psycopg2
from clients.vault_client import get_database_url
admin_url = get_database_url('mira_service', admin=True)
conn = psycopg2.connect(admin_url)
cur = conn.cursor()
cur.execute("UPDATE internal_llm SET endpoint_url = '' WHERE name = 'summary';")
conn.commit()
Empty string evaluates to False in if endpoint_url: check (line 893 in llm_provider.py), triggering native Anthropic client.
Result
✅ Segment collapse working without auth errors
✅ Memory properly compresses
✅ Reduced token overhead
Note
This was an original configuration bug, not introduced by recent changes.
Framework Token Optimization (In Progress)
Challenge
Five philosophical frameworks total ~26,000 tokens:
- Ontological Framework: ~5,200 tokens
- Stillness Framework: ~5,200 tokens
- Negentropy Framework: ~5,200 tokens
- Resonance Framework: ~5,200 tokens
- Emergence Framework: ~5,200 tokens
Combined with memories (~8K) and conversation history, frequently exceeds Tier 1 rate limits (30K tokens/minute).
Approach
Condense each framework to ~800 tokens while preserving core functionality. Testing with Framework 1 (Ontological) first.