jiang
d58bd19039
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
1.2 KiB
Bash
31 lines
1.2 KiB
Bash
PORT=8787
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HOST=0.0.0.0
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LOG_LEVEL=info
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TJWATER_SERVER_TIMEOUT_MS=10000
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TJWATER_SERVER_BASE_URL=http://127.0.0.1:8000
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CONVERSATION_WORKSPACE_ROOT=./.agent-workspaces
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SANDBOX_MAX_OUTPUT_BYTES=1048576
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OPENCODE_MODE=embedded
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# OpenCode 2 CLI 路径或命令；默认 opencode2。
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OPENCODE_COMMAND=opencode2
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# client 模式连接私有 V2 server 时，填写其 server password（不要提交实际值）。
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# OPENCODE_CLIENT_PASSWORD=
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# 模型、provider、默认聊天/后台/学习模型统一在 agent-models.json 配置。
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# 可选：使用独立的本地配置文件，修改后重启 Agent 和外部 OpenCode。
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# AGENT_MODEL_CONFIG_PATH=./agent-models.local.json
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# API key 仅在本地或部署环境填写，不提交实际值。
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# 当前配置未启用 DeepSeek；重新配置该 provider 时再填写。
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# DEEPSEEK_API_KEY=
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WATERNETWORK_API_KEY=
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OPENCODE_HOSTNAME=127.0.0.1
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OPENCODE_PORT=0
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# client 模式必须在 Agent 与外部 OpenCode 进程配置同一个高熵值；embedded 模式可留空。
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# AGENT_INTERNAL_TOKEN=replace-with-a-random-server-only-secret
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AGENT_LOCAL_USER_ID=local-user
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# 必须填写 Server /api/v1/projects 返回的项目 UUID。
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AGENT_LOCAL_PROJECT_ID=00000000-0000-0000-0000-000000000000
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AGENT_LOCAL_NETWORK=local-network
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