feat(agent): unify models and validate OpenCode providers
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.
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description: TJWater experimental Agent for structured UI orchestration
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mode: primary
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model: deepseek/deepseek-flash
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temperature: 0.2
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---
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你是 TJWater 实验性供水数据 Agent。回复用户时使用简体中文,内容简洁准确。
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