consult-ring

name	consult-ring
description	Consult Ring 2.6 1T (inclusionai/ring-2.6-1t) on OpenRouter for deep reasoning on quant, strategy, hypothesis, or code questions. Use when the user says "/consult-ring261T", "/ask-ring261T", "ask ring", "ring second opinion", or wants the 1T-parameter extended-thinking model's take on a question.

/consult-ring261T — Ring 2.6 1T Consultation

Consult Ring 2.6 1T (inclusionai/ring-2.6-1t) — a 1-trillion-parameter reasoning model with 262K context, available via OpenRouter. Specialises in chain-of-thought analysis, hypothesis evaluation, and quantitative strategy critique.

Aliases: /consult-ring261T, /ask-ring261T, "ask ring", "ring second opinion"

Prerequisites

• OPENROUTER_API_KEY set in Windows environment (key: sk-or-v1-c05470f494...).
• Model: inclusionai/ring-2.6-1t (hard-coded; do NOT override with OPENROUTER_MODEL env var — other openrouter calls use different models).
• Endpoint: https://openrouter.ai/api/v1/chat/completions

Usage

/consult-ring261T <question or prompt text>
/ask-ring261T <question or prompt text>

How to invoke

Recommended: python inline (no prompt-file needed)

Write the prompt to a temp file, then call api_consult.py with OPENROUTER_MODEL forced to inclusionai/ring-2.6-1t:

# Write prompt to temp file
$prompt = "Your question here"
$prompt | Out-File -FilePath "$env:TEMP\ring_prompt.txt" -Encoding utf8

# Call via api_consult.py with model override
$env:OPENROUTER_MODEL = "inclusionai/ring-2.6-1t"
$env:OPENROUTER_MAX_TOKENS = "2000"
python tools/swarm/api_consult.py --provider openrouter --prompt-file "$env:TEMP\ring_prompt.txt"

Bash version (via Bash tool)

PROMPT="Your question here"
echo "$PROMPT" > /tmp/ring_prompt.txt
OPENROUTER_MODEL="inclusionai/ring-2.6-1t" OPENROUTER_MAX_TOKENS=2000 \
  python tools/swarm/api_consult.py --provider openrouter --prompt-file /tmp/ring_prompt.txt

Direct Python (when api_consult.py is unavailable or for one-liners)

import os, json, urllib.request
key = os.environ["OPENROUTER_API_KEY"]
data = json.dumps({
    "model": "inclusionai/ring-2.6-1t",
    "messages": [{"role": "user", "content": PROMPT}],
    "max_tokens": 2000,
    "temperature": 0.3
}).encode()
req = urllib.request.Request(
    "https://openrouter.ai/api/v1/chat/completions",
    data=data,
    headers={"Authorization": f"Bearer {key}", "Content-Type": "application/json"}
)
with urllib.request.urlopen(req, timeout=120) as r:
    resp = json.loads(r.read())
print(resp["choices"][0]["message"]["content"])

Required parameters

Parameter	Value
model	inclusionai/ring-2.6-1t (ALWAYS — never use default openrouter model)
max_tokens	2000 minimum — Ring returns content=null + dumps answer in reasoning_details when tokens are too low. Use 2000 for short questions, 4000 for deep analysis.
temperature	0.3 (good for analysis); use 0.7 for creative/brainstorm
timeout	120s — Ring's 1T parameter count means 30-90s response time is normal

Critical gotchas

• content=null bug: If max_tokens < 1500, Ring puts the real answer in choices[0].message.reasoning_details and leaves content=null. Always use max_tokens >= 2000.
• OPENROUTER_MODEL env var conflict: Other OpenRouter calls in this repo use different models. Set OPENROUTER_MODEL=inclusionai/ring-2.6-1t only for Ring calls, then unset or reset afterwards.
• Reasoning trace: Ring's reasoning_details field contains chain-of-thought reasoning (often very long). The final answer is always in choices[0].message.content when max_tokens >= 2000.
• Response time: 30-90 seconds is normal for this model. Do not retry on timeout until 120s has elapsed.

When to use Ring vs other models

Use Ring when...	Use something else when...
Deep hypothesis evaluation (H-0xx series)	Quick yes/no gate check (use swarm deepseek)
Strategy autopsy with long context	Fast iteration / many small questions (use ofox/groq)
Multi-factor quant synthesis (COMMODITY/FOREX/CRYPTO)	Code generation tasks (use kilo/cursor/codex)
Frontier-level critique of gate logic	Routine summarisation (use any cheap model)
262K context is needed (large log files, full reports)	Cost matters — Ring tokens are expensive

What Ring is good at (observed in this repo)

• Evaluating hypothesis registry entries (H-001 through H-037+)
• Ranking free-data vs paid-data hypotheses
• Critiquing gate logic (MDD, DSR, PBO, WR floors)
• Recommending asset class priority given PF/WR/n data
• Synthesising multi-session audit outputs into actionable decisions

Verify alive

OPENROUTER_MODEL="inclusionai/ring-2.6-1t" OPENROUTER_MAX_TOKENS=2000 \
  python tools/swarm/api_consult.py --provider openrouter \
  --prompt-file <(echo "Reply with exactly the word: VERIFIED")

Expect a response containing VERIFIED.

Related

• Sibling skills: consult-grok, consult-ofox, consult-gemini, consult-kilo
• Session notes: Ring reviewed H-017 (liquidation cascade) and H-037 (VIX carry) on 2026-05-19
• Ring's H-037 recommendation: VIX term-structure carry is the top free-data hypothesis — pre-registered as H-037 in reports/hypothesis_registry.json
• Ring's COMMODITY verdict: enforce MDD gate (40% cap) — user decision still pending