1 line
5.8 KiB
JSON
1 line
5.8 KiB
JSON
{"repo": "aniolowie/macroa-legacy", "files": {".env.example": {"f8e7e4e7118b38e46d5521ac6d7cbc8759b31eed": {"t": 1785747434.493561, "n": 2715, "h": "e8e68efdb4a7d924", "c": "# Required\nOPENROUTER_API_KEY=sk-or-v1-...\n\n# ---------------------------------------------------------------------------\n# Model tiers — OS/hardware analogy\n# Drop the \"openrouter/\" prefix when calling openrouter.ai/api/v1 directly\n# ---------------------------------------------------------------------------\n\n# NANO — microcontroller / background thread\n# Used for ALL routing calls and deterministic-skill fallbacks.\n# Cheapest possible; runs constantly in the background.\n# Default: google/gemini-2.5-flash-lite ($0.18/M blended, 1M ctx)\n# Alternatives:\n# openai/gpt-5-nano ($0.14/M, 128K)\n# deepseek/deepseek-v3.2 ($0.31/M, 164K)\n# openai/gpt-5-mini ($0.69/M, 128K)\n# MACROA_MODEL_NANO=google/gemini-2.5-flash-lite\n\n# HAIKU — efficiency cores / E-cores\n# First escalation target; handles lightweight tasks that need a real LLM.\n# Default: anthropic/claude-haiku-4-5 ($2.00/M blended, 200K ctx)\n# Alternatives:\n# google/gemini-2.5-flash ($0.85/M, 1M)\n# minimax/minimax-m2.5 ($0.53/M, 205K)\n# moonshotai/kimi-k2.5 ($1.08/M, 262K)\n# z-ai/glm-5 ($1.35/M, 205K)\n# MACROA_MODEL_HAIKU=anthropic/claude-haiku-4-5\n\n# SONNET — performance cores / P-cores\n# Quality work; triggered by \"think carefully\", escalation from HAIKU, or skill pin.\n# Default: anthropic/claude-sonnet-4-6 ($6.00/M blended, 1M ctx)\n# MACROA_MODEL_SONNET=anthropic/claude-sonnet-4-6\n\n# OPUS — GPU\n# Heavy reasoning; most resource-intensive, use sparingly.\n# Triggered by \"opus\", \"best model\", \"use the gpu\", or two failed escalations.\n# Default: anthropic/claude-opus-4-6 ($10.00/M blended, 1M ctx)\n# Alternatives:\n# openai/gpt-5 ($3.44/M, 400K)\n# MACROA_MODEL_OPUS=anthropic/claude-opus-4-6\n\n# ---------------------------------------------------------------------------\n\n# Context window size (turns kept in rolling buffer)\n# MACROA_CONTEXT_WINDOW=20\n\n# Memory backend — sqlite (default) or json\n# MACROA_MEMORY_BACKEND=sqlite\n\n# Path to SQLite DB (default: ~/.macroa/memory.db)\n# MACROA_MEMORY_DB_PATH=~/.macroa/memory.db\n\n# OpenRouter analytics headers\n# MACROA_HTTP_REFERER=https://github.com/yourname/macroa\n# MACROA_APP_TITLE=Macroa\n\n# ---------------------------------------------------------------------------\n# Tools — userspace programs\n# ---------------------------------------------------------------------------\n\n# Directory where user-installed tools live\n# Install a tool: cp -r my_tool/ ~/.macroa/tools/\n# Default: ~/.macroa/tools/\n# MACROA_TOOLS_DIR=~/.macroa/tools\n\n# Heartbeat interval for persistent tools (seconds)\n# Persistent tools have manifest.persistent=True and implement heartbeat()\n# Default: 60\n# MACROA_HEARTBEAT_INTERVAL=60\n"}, "f28d9e9e2aaf52c08322fea5cc669524f340237f": {"t": 1785773277.2841618, "n": 2715, "h": "e8e68efdb4a7d924", "c": "# Required\nOPENROUTER_API_KEY=sk-or-v1-...\n\n# ---------------------------------------------------------------------------\n# Model tiers — OS/hardware analogy\n# Drop the \"openrouter/\" prefix when calling openrouter.ai/api/v1 directly\n# ---------------------------------------------------------------------------\n\n# NANO — microcontroller / background thread\n# Used for ALL routing calls and deterministic-skill fallbacks.\n# Cheapest possible; runs constantly in the background.\n# Default: google/gemini-2.5-flash-lite ($0.18/M blended, 1M ctx)\n# Alternatives:\n# openai/gpt-5-nano ($0.14/M, 128K)\n# deepseek/deepseek-v3.2 ($0.31/M, 164K)\n# openai/gpt-5-mini ($0.69/M, 128K)\n# MACROA_MODEL_NANO=google/gemini-2.5-flash-lite\n\n# HAIKU — efficiency cores / E-cores\n# First escalation target; handles lightweight tasks that need a real LLM.\n# Default: anthropic/claude-haiku-4-5 ($2.00/M blended, 200K ctx)\n# Alternatives:\n# google/gemini-2.5-flash ($0.85/M, 1M)\n# minimax/minimax-m2.5 ($0.53/M, 205K)\n# moonshotai/kimi-k2.5 ($1.08/M, 262K)\n# z-ai/glm-5 ($1.35/M, 205K)\n# MACROA_MODEL_HAIKU=anthropic/claude-haiku-4-5\n\n# SONNET — performance cores / P-cores\n# Quality work; triggered by \"think carefully\", escalation from HAIKU, or skill pin.\n# Default: anthropic/claude-sonnet-4-6 ($6.00/M blended, 1M ctx)\n# MACROA_MODEL_SONNET=anthropic/claude-sonnet-4-6\n\n# OPUS — GPU\n# Heavy reasoning; most resource-intensive, use sparingly.\n# Triggered by \"opus\", \"best model\", \"use the gpu\", or two failed escalations.\n# Default: anthropic/claude-opus-4-6 ($10.00/M blended, 1M ctx)\n# Alternatives:\n# openai/gpt-5 ($3.44/M, 400K)\n# MACROA_MODEL_OPUS=anthropic/claude-opus-4-6\n\n# ---------------------------------------------------------------------------\n\n# Context window size (turns kept in rolling buffer)\n# MACROA_CONTEXT_WINDOW=20\n\n# Memory backend — sqlite (default) or json\n# MACROA_MEMORY_BACKEND=sqlite\n\n# Path to SQLite DB (default: ~/.macroa/memory.db)\n# MACROA_MEMORY_DB_PATH=~/.macroa/memory.db\n\n# OpenRouter analytics headers\n# MACROA_HTTP_REFERER=https://github.com/yourname/macroa\n# MACROA_APP_TITLE=Macroa\n\n# ---------------------------------------------------------------------------\n# Tools — userspace programs\n# ---------------------------------------------------------------------------\n\n# Directory where user-installed tools live\n# Install a tool: cp -r my_tool/ ~/.macroa/tools/\n# Default: ~/.macroa/tools/\n# MACROA_TOOLS_DIR=~/.macroa/tools\n\n# Heartbeat interval for persistent tools (seconds)\n# Persistent tools have manifest.persistent=True and implement heartbeat()\n# Default: 60\n# MACROA_HEARTBEAT_INTERVAL=60\n"}}}} |