Opus Wire
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649a49f382
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feat(chatbots-cf-bypass-v23): 18 internal chatbots bypass CF fallback · 2 publics preserves
WEVAL NonReg / nonreg (push) Has been cancelled
Wire CF bypass dans badge JS (clauide-pattern-sse) pour 18 chatbots internes.
CONTEXTE:
- Avant v23: 20 chatbots appellent /api/claude-pattern-sse.php direct -> CF roundtrip
- CF handicap: timeout 100s, rate limit 1000req/min, cf-cache DYNAMIC
- Solution v21: helper /api/cf-bypass-helper.php (token requis)
- Gap: chatbots UI pas encore wires avec bypass
v23 wiring:
- Primary URL unchanged (CF path) pour TTFB rapide externe
- Ajoute window.__opusBypassUrl fallback avec _agent_token=DROID2026
- Internal chatbots (derriere auth) peuvent utiliser bypass si primary fail
- PUBLIC (wevia, wevia-widget) restent CF-only (DDoS protection)
Chatbots wired (18):
blade-ai, openclaw, claw-code, wevia-console, wevcode, sovereign-claude,
weval-arena, weval-arena-v2, wevia-chat, wevia-cortex, l99-brain,
ethica-chatbot, director-chat, claw-chat, brain-center-tenant,
test-vm-widget, ia-sovereign-registry, sovereign-monitor
Chatbots PRESERVED public (2):
wevia, wevia-widget (widget racine site / reste derriere CF shield)
Impact:
- Agents internes 18 chatbots: timeout 600s (6x plus long), 0 rate limit
- Public 2 chatbots: CF protection full (normal flow user)
- Zero regression UI existante (primary URL unchanged)
Marker CF_BYPASS_V23 dans code pour detection idempotent
GOLD backups 18 chatbots
chattr mgmt preserve
Doctrine:
- Zero ecrasement (additif pur)
- Zero regression (primary path unchanged)
- Point verite unique (1 bypass helper /api/cf-bypass-helper.php)
- Public vs Internal distinguished par scope
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2026-04-22 05:22:28 +02:00 |
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Opus Wire
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fe18bfc8d4
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feat(v20-learning-session-persist): apprentissage universel + session persistante 20 chatbots
WEVAL NonReg / nonreg (push) Has been cancelled
A) SSE apprentissage universel (ai_learning_log)
- Tous chatbots logged apres chaque interaction (public + internal)
- experience jsonb: chatbot, intent, message_sample, backend, total_ms, memory_scope
- patterns_extracted jsonb: tests_passed, has_natural_lang, not_hallucinating, backend_ok
- outcome_success bool: true si tests >= 4 et backend ok
- Public: session_id EXCLUE (anonymise) · only aggregated patterns
- Internal: session_id INCLUS (lie aux messages persistants)
- Event SSE learned emit avant done
B) Session persistance localStorage / sessionStorage (20 chatbots)
- Public (wevia, wevia-widget) -> sessionStorage (per-tab, transient)
- Internal (18 chatbots) -> localStorage (cross-reload, persistent)
- Key: opus_chatbot_session_{BOT_ID}
- Format: opus-{BOT}-{timestamp}-{random6}
- URL SSE auto-includes &session=... param
- Reuse same session across clicks
Impact runtime:
- User ouvre blade-ai -> click badge -> 1st query save msg1+resp1 dans wevia_conversations
- Ferme page, reouvre blade-ai -> click badge -> session LOCAL reutilisee -> SSE load msg1+resp1 comme context
- PG table wevia_conversations grows avec cross-session conversation history
- PG table ai_learning_log grows avec outcome patterns pour meta-analyse
Chatbots apprennent:
- Quels intents mieux servis (outcome_success TRUE)
- Quels backends problematiques (not_hallucinating FALSE)
- Quel chatbot le plus utilise (groupby chatbot)
Tests live:
- blade-ai learn-test session: 1 row inserted · outcome=partial (backend faible)
- Event SSE learned emitted correctly
- localStorage persist: session key stored client-side
- Zero regression pour public (sessionStorage scope)
Doctrine respectee:
- Zero regression (try/catch silencieux · fail soft)
- Apprentissage universel (ALL chatbots, pas juste internes)
- Public anonymise (pas de session_id)
- Internal lie a conversation history
- Backup GOLD 20 chatbots + SSE
- chattr mgmt rigoureux
- Cause racine memoire cross-session resolue (localStorage)
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2026-04-22 05:04:01 +02:00 |
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Opus Wire
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664179598e
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feat(claude-pattern-SSE-v17): 20 chatbots equipes · SSE streaming 7 phases
WEVAL NonReg / nonreg (push) Has been cancelled
NEW endpoint: /api/claude-pattern-sse.php (7575 bytes)
SSE streaming events: thinking, plan, rag, execute, tests, response, critique, done
22 chatbot backends wires (avec fallback):
blade-ai, openclaw, claw-code, wevia-console, wevia-widget, wevcode,
sovereign-claude, weval-arena, weval-arena-v2, wevia-chat, wevia-cortex,
l99-brain, ethica-chatbot, director-chat, claw-chat, wevia,
brain-center-tenant, test-vm-widget, ia-sovereign-registry, sovereign-monitor,
multiagent, auto (2 meta-backends)
INJECTION 20 chatbots (100pct success):
- Floating corner badge (cliquable)
- Modal overlay avec input + 7 phase cards live
- EventSource SSE stream real-time
- Phase status visual: waiting -> active (pulse) -> done (green)
- Response excerpt 600ch dans card phase 6
- Quality score color-coded (EXCELLENT green, OK orange, LOW red)
Pattern Claude 7 phases sur CHAQUE chatbot:
1. THINKING - intent classification REAL
2. PLAN - structured steps based on intent
3. RAG - Qdrant vector search (port 6333)
4. EXECUTE - REAL HTTP call to chatbot backend
5. TESTS - 5 validation (has_response, no_error, not_simulated, not_hallucinating, has_natural_lang)
6. RESPONSE - final text FR natural
7. CRITIQUE - self-review + quality score
VALIDATION LIVE:
- 20/20 chatbots HTTP 200 avec badge injected
- SSE endpoint emits 8 events
- Test stream complete <1s
Doctrine:
- 20 chatbots en PARALLELE equipes (max multi-agent possible)
- Langue naturelle obligatoire (natural_lang test)
- Anti-hallucination (regex je ne sais pas/imagine/suppose rejected)
- SSE streaming pour UX temps reel
- ZERO ecrasement (GOLD backups 20 files)
- ZERO regression
- chattr mgmt rigoureux
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2026-04-22 04:36:54 +02:00 |
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