Generate chat, task and learning models from agent-models.json. Use WaterNetwork fast/expert models with 272k context and validate upstream names before readiness. Add an isolated model check command with signal-safe cleanup and plugin, Skill and MCP management docs. Verified in isolation: type checks, 26 focused tests and both model catalog checks; no model inference requests.
31 lines
779 B
JSON
31 lines
779 B
JSON
{
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"default_model": "waternetwork/gpt-6-luna",
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"task_model": "waternetwork/gpt-6-luna",
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"learning_gate_model": "waternetwork/gpt-6-luna",
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"providers": {
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"waternetwork": {
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"name": "WaterNetwork",
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"api_url": "https://llm.waternetwork.cn/v1",
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"api_key": "{env:WATERNETWORK_API_KEY}",
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"models": {
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"gpt-6-luna": {
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"name": "快速",
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"description": "快速回答和日常任务处理",
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"icon": "bolt",
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"limit": {
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"context": 272000
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}
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},
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"gpt-6.1-sol": {
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"name": "专家",
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"description": "深入分析和复杂任务处理",
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"icon": "sparkle",
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"limit": {
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"context": 272000
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}
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}
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}
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}
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}
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}
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