Features: - 20 team modes (brainstorm, debate, consensus, red team, etc.) - 3 autonomous pipelines (research, model eval, knowledge extraction) - AutoResearch Lab with ratchet engine (Karpathy-inspired) - Multi-provider support (Ollama, OpenRouter, OpenAI, Anthropic) - Admin panel (providers, models, timeouts, OpenRouter browser) - History panel with copy/iterate/re-pipe workflow - Context budget system (smart truncation, safe_query, overflow recovery) - PostgreSQL persistence (team_runs, pipeline_runs, lab_experiments, lab_trials) - Pure Python + embedded HTML/CSS/JS, no external JS dependencies - Inline SVG score charts in Lab monitor - SSE streaming for real-time output - Systemd service with auto-restart Stack: Flask + Ollama + PostgreSQL + Bun-compatible Hardware: RTX A4000 (16GB) + 128GB RAM Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
33 lines
662 B
JSON
33 lines
662 B
JSON
{
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"providers": {
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"ollama": {
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"enabled": true,
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"base_url": "http://localhost:11434",
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"timeout": 300
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},
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"openrouter": {
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"enabled": false,
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"base_url": "https://openrouter.ai/api/v1",
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"api_key": "",
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"timeout": 120
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},
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"openai": {
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"enabled": false,
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"base_url": "https://api.openai.com/v1",
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"api_key": "",
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"timeout": 120
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},
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"anthropic": {
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"enabled": false,
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"base_url": "https://api.anthropic.com/v1",
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"api_key": "",
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"timeout": 120
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}
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},
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"disabled_models": [],
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"cloud_models": [],
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"timeouts": {
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"global": 300,
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"per_model": {}
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}
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} |