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perf: route Guardian and Vision text analysis to Groq instead of Claude

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Guardian anomaly alerts and SITREP are pure text reasoning — Groq's
llama-3.3-70b-versatile handles them at near-zero cost with lower
latency. Vision Protocol image analysis stays on Claude (claude-opus-
4-8) because Groq has no vision models. Text-only sysinfo snapshots
(no image captured) also move to Groq.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
Myron Blair
2026-06-17 17:06:15 +00:00
parent dd2f48193b
commit 7f6397b514
1 changed files with 5 additions and 5 deletions
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deploy/reactor.py
+5 -5
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@@ -688,8 +688,8 @@ async def handle_screenshot(payload: dict) -> dict:
try:
snap_text = json.dumps(result, indent=2)[:3000]
prompt = f"Summarize this server system snapshot for JARVIS. Highlight any concerns:\n\n{snap_text}"
analysis = await llm_call([{"role": "user", "content": prompt}], "claude")
provider_used = "claude"
analysis = await llm_call([{"role": "user", "content": prompt}], "groq")
provider_used = "groq"
except Exception as e:
analysis = f"Analysis unavailable: {e}"
@@ -1022,7 +1022,7 @@ async def guardian_loop() -> None:
"for Myron. Be direct about severity and what action to take. "
"No markdown, no headers."
)
ai_msg = await llm_call([{"role": "user", "content": ai_prompt}], "claude")
ai_msg = await llm_call([{"role": "user", "content": ai_prompt}], "groq")
# Update the most recent guardian event with AI analysis
await db_execute(
"""UPDATE guardian_events SET ai_analysis=%s
@@ -1062,10 +1062,10 @@ async def _guardian_inject_chat(message: str) -> None:
async def handle_sitrep(payload: dict) -> dict:
"""
Situation Report — comprehensive health briefing across all field stations.
payload: { detail: brief|full, provider: claude }
payload: { detail: brief|full, provider: groq }
"""
detail = payload.get("detail", "full")
provider = payload.get("provider", "claude")
provider = payload.get("provider", "groq")
log.info(f"[GUARDIAN] SITREP requested (detail={detail})")