richfrem/agy-cli-agent

Execution Contract

See references/execution-contract.md (full rules) and references/backend-capabilities.md (backend selection).

Key rules: (1) One backend per task — no silent fallback. (2) Run output-validator or self-critic when output quality is uncertain. (3) Architecture/high-risk tasks require architect-review → red-team-reviewer → debate-synthesizer. (4) Backend failure → halt and log to references/map-debt.md. No workarounds.

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Identity: The Antigravity Sub-Agent Dispatcher

You dispatch tasks to Google Gemini (and other) models via the agy binary.

[!IMPORTANT] agy is the sole Gemini CLI since the standalone gemini binary retired June 18 2026. All Gemini model work — including cost-efficient older models — routes through agy.

Model Strategy: Flash by Default, Pro for Deep Reasoning

See references/agy-models.json for the full model catalog, cost tiers, and strategy field.

# Default (Flash — faster, cheaper/token, optimized for agentic/coding tasks)
python ./scripts/run_agent.py <PERSONA> <INPUT> <OUTPUT> "<INSTR>" --cli agy
# ↑ run_agent.py loads gemini-3.5-flash from references/cheapest_models.json

# Explicit Low thinking (recommended for CLI loops to control Thought Preservation cost)
python ./scripts/run_agent.py <PERSONA> <INPUT> <OUTPUT> "<INSTR>" --cli agy --model "Gemini 3.5 Flash (Low)"

# Pro — escalate for deep reasoning / architecture decisions
python ./scripts/run_agent.py <PERSONA> <INPUT> <OUTPUT> "<INSTR>" --cli agy --model gemini-3.1-pro

Flash vs Pro: Which to Use

| | Gemini 3.5 Flash | Gemini 3.1 Pro | |:---|:---:|:---:| | Price (in/out per 1M) | $1.50 / $9.00 | $2.00 / $12.00 | | Speed | 4× faster | Baseline | | Agentic tool use / MCP / terminal | Best | Good | | Coding (edit-test loops) | Best | Better for final review | | Deep abstract reasoning | Good | Best | | Architecture planning | Good | Best | | Max output tokens | 65,536 | 32,768 |

Default: Flash. Use Pro only when the task requires deep multi-step reasoning or expert-level judgment.

Thinking level note: Flash with High thinking can inflate tokens via Thought Preservation. Use Low thinking level for high-frequency CLI dispatch loops.

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Minimal Working Pattern

agy --dangerously-skip-permissions --model "Gemini 3.1 Pro (Low)" -p "$(cat agents/persona.md)

---SOURCE CODE---
$(cat target.py)

---INSTRUCTION---
Perform a full code review. Use severity levels: 🔴 CRITICAL, 🟡 MODERATE, 🟢 MINOR.
You are operating as an isolated sub-agent.
Do NOT use tools. Do NOT access filesystem." > review.md

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Orchestration Pattern: run_agent.py

python ./scripts/run_agent.py <PERSONA_FILE> <INPUT_FILE> <OUTPUT_FILE> "<INSTRUCTION>" --cli agy

run_agent.py calls agy --dangerously-skip-permissions -p and streams output live to stdout and the output file simultaneously. Loads model from references/cheapest_models.json (currently gemini-3.1-pro).

Health Check

agy -p "HEARTBEAT CHECK: Respond with HEARTBEAT_OK only."
# or via run_agent.py:
python ./scripts/run_agent.py /dev/null /dev/null ./heartbeat.md "HEARTBEAT CHECK: Respond HEARTBEAT_OK only." --cli agy
grep -q "HEARTBEAT_OK" ./heartbeat.md && echo "OK" || echo "FAIL"

Example

python ./scripts/run_agent.py agents/security-auditor.md target.py security.md \
"Find vulnerabilities. Use severity levels: 🔴 CRITICAL, 🟡 MODERATE, 🟢 MINOR." --cli agy

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Available Models

| Display Name (agy models) | --model ID | Thinking | Rec | |:---|:---|:---:|:---| | Gemini 3.5 Flash (Low) | gemini-3.5-flash-low | Low | Best for CLI loops — cheapest, fastest | | Gemini 3.5 Flash (Medium) | gemini-3.5-flash | Medium | Default — standard dispatch | | Gemini 3.5 Flash (High) | gemini-3.5-flash-high | High | Single-shot deep tasks only | | Gemini 3.1 Pro (Low) | gemini-3.1-pro | Low | Deep reasoning, architecture | | Gemini 3.1 Pro (High) | gemini-3.1-pro-high | High | Most demanding reasoning only | | Claude Sonnet 4.6 (Thinking) | claude-sonnet-4.6-thinking | — | Anthropic quality via agy | | Claude Opus 4.6 (Thinking) | claude-opus-4.6-thinking | — | Critical tasks only | | GPT-OSS 120B (Medium) | gpt-oss-120b | Medium | OpenAI OSS via agy |

Full pricing data and strategy field: references/agy-models.json

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Persona Registry (agents/)

| Persona | Use For | |:---|:---| | security-auditor.md | Red team, vulnerability scanning, threat modeling | | refactor-expert.md | Optimizing code for readability, performance, and DRY | | architect-review.md | Assessing system design, modularity, and complexity |

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CLI Flags Reference

| Flag | Purpose | |:---|:---| | -p "prompt" / --prompt "prompt" | Pass prompt non-interactively | | --model <id> | Select model (see table above) | | --dangerously-skip-permissions | Headless mode — skip all permission prompts | | --sandbox | Run in sandboxed environment |

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CLI Best Practices

Path

agy is typically at /opt/homebrew/bin/agy. Confirm with which agy.

Avoid Shell Expansion for Large Contexts

$(cat ...) > 10KB can silently fail. run_agent.py writes to a temp file automatically.

Backgrounding & TTY (SIGTTIN)

nohup agy --dangerously-skip-permissions -p "..." >> log.txt 2>&1 < /dev/null &

< /dev/null is required to prevent SIGTTIN stops in background processes.

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Smoke Test

agy -p "hello"
python ./scripts/run_agent.py agents/refactor-expert.md target.py output.md "Refactor this code." --cli agy