JOJO
0f4cf1078a
This commit bundles a coordinated fix set across frontend and backend runtime flows:\n\n1) Markdown table overflow UX\n- Wrap rendered markdown tables in a dedicated horizontal-scroll container.\n- Preserve wrapper attributes through sanitize so styles always apply.\n- Keep page-level horizontal scroll disabled while allowing in-container table scroll.\n- Improve table container visual consistency (border/radius/shadow/scrollbar behavior).\n\n2) Code block horizontal jitter\n- Adjust code/pre scrollbar gutter and box model handling to remove left-right jump.\n\n3) Execution mode auto-fallback sync + toast behavior\n- Add expiry-driven frontend sync timer for direct->sandbox fallback state refresh.\n- Ensure permission/execution UI state updates at expiry time.\n- Keep fallback warning toast persistent but avoid false-positive toasts when simply switching to sandbox conversations.\n- Trigger fallback toast only when a real direct-expiry transition is detected.\n\n4) Runtime guidance/notify display consistency\n- Unify live polling rendering behavior with history replay behavior.\n- Restore real-time display of guidance/notify/sub-agent/background-command messages.\n- Keep runtime_mode_notice hidden only in idle state as requested.\n\n5) Backend runtime notice emission policy\n- Suppress runtime mode notice insertion when no task is running (idle path).\n- Preserve notice injection when task is actively running.\n\n6) Tool-call ordering safety for injected completion notices\n- Delay inline sub-agent/background-command completion message insertion until all parallel tool calls in the same assistant turn are finished.\n- Prevent invalid assistant/tool_call ordering that causes provider 400 errors for missing tool_call_id responses.\n\n7) Left panel scrolling behavior\n- Enable vertical scrolling for project files / todo / sub-agent / background-command panels.\n- Hide panel scrollbars while preserving scroll capability.\n\n8) Tavily multi-key selection support\n- Introduce config/search.py with selectable env variable name for Tavily key resolution.\n- Keep existing AGENT_TAVILY_API_KEY naming compatible.\n- Export search config through config package.\n\n9) Dedicated conversation-title model config\n- Add AGENT_TITLE_API_BASE_URL / AGENT_TITLE_API_KEY / AGENT_TITLE_MODEL_ID.\n- Route title generation calls to these dedicated credentials/model with fallback defaults.\n\n10) Supporting updates\n- Update .env.example to document new Tavily and title-generation env vars.\n- Include current custom model profile tweak (kimi-k2.6).\n\nValidated with:\n- npm run build\n- python3 -m py_compile (affected backend/config modules)\n- python3 -m unittest test.test_server_refactor_smoke
145 lines
5.1 KiB
JSON
145 lines
5.1 KiB
JSON
{
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"models": [
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{
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"model_name": "kimi-k2.6",
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"description": "Kimi-k2.6（测试别名），配置与 Kimi-k2.5 一致",
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"visible": true,
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"url": "${API_BASE_KIMI}",
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"apikey": "${API_KEY_KIMI}",
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"multimodal": "image,video",
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"reasoning_capability": "fast,thinking",
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"context_window": 256000,
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"max_output_tokens": 32768,
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"thinkmode_status": {
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"type": "param_toggle",
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"model_id": "kimi-k2.6",
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"fast_extra_parameter": {
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"thinking": {
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"type": "disabled"
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}
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},
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"thinking_extra_parameter": {
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"thinking": {
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"type": "enabled"
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},
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"enable_thinking": true
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}
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},
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"extra_parameter": {},
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"model_description": "你的基础模型是 Kimi-k2.6（测试别名），底层与 Kimi-k2.5 一致，并通过 thinking 参数开启/关闭思考能力。"
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},
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{
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"model_name": "DeepSeek-V4-Flash Max",
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"description": "DeepSeek V4 Flash（reasoning_effort=max），支持快速/思考/深度思考",
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"visible": true,
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"url": "${API_BASE_DEEPSEEK}",
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"apikey": "${API_KEY_DEEPSEEK}",
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"multimodal": "none",
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"reasoning_capability": "fast,thinking",
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"context_window": 1000000,
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"max_output_tokens": 384000,
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"thinkmode_status": {
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"type": "param_toggle",
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"model_id": "deepseek-v4-flash",
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"fast_extra_parameter": {
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"thinking": {
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"type": "disabled"
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}
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},
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"thinking_extra_parameter": {
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"thinking": {
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"type": "enabled"
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},
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"reasoning_effort": "max"
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}
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},
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"extra_parameter": {},
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"model_description": "你是DeepSeek-V4-Flash，一个快捷、高效的通用模型，具备接近旗舰级的推理能力，在简单到中等复杂度任务中表现出色，并支持 1M 上下文，适合追求响应速度与成本效率的使用场景。"
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},
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{
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"model_name": "DeepSeek-V4-Flah High",
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"description": "DeepSeek V4 Flash（reasoning_effort=high），支持快速/思考/深度思考",
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"visible": true,
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"url": "${API_BASE_DEEPSEEK}",
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"apikey": "${API_KEY_DEEPSEEK}",
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"multimodal": "none",
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"reasoning_capability": "fast,thinking",
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"context_window": 1000000,
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"max_output_tokens": 384000,
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"thinkmode_status": {
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"type": "param_toggle",
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"model_id": "deepseek-v4-flash",
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"fast_extra_parameter": {
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"thinking": {
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"type": "disabled"
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}
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},
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"thinking_extra_parameter": {
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"thinking": {
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"type": "enabled"
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},
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"reasoning_effort": "high"
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}
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},
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"extra_parameter": {},
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"model_description": "你是DeepSeek-V4-Flash，一个快捷、高效的通用模型，具备接近旗舰级的推理能力，在简单到中等复杂度任务中表现出色，并支持 1M 上下文，适合追求响应速度与成本效率的使用场景。"
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},
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{
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"model_name": "DeepSeek-V4-Pro Max",
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"description": "DeepSeek V4 Pro（reasoning_effort=max），支持快速/思考/深度思考",
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"visible": true,
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"url": "${API_BASE_DEEPSEEK}",
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"apikey": "${API_KEY_DEEPSEEK}",
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"multimodal": "none",
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"reasoning_capability": "fast,thinking",
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"context_window": 1000000,
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"max_output_tokens": 384000,
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"thinkmode_status": {
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"type": "param_toggle",
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"model_id": "deepseek-v4-pro",
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"fast_extra_parameter": {
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"thinking": {
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"type": "disabled"
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}
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},
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"thinking_extra_parameter": {
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"thinking": {
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"type": "enabled"
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},
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"reasoning_effort": "max"
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}
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},
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"extra_parameter": {},
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"model_description": "你是DeepSeek-V4-Pro，一个面向复杂任务的高性能通用模型，具备突出的 Agent 能力、丰富的世界知识和顶级推理表现，在编程、数学、STEM 与复杂问题分析场景中表现尤为出色，并支持 1M 上下文。"
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},
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{
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"model_name": "DeepSeek-V4-Pro High",
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"description": "DeepSeek V4 Pro（reasoning_effort=high），支持快速/思考/深度思考",
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"visible": true,
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"url": "${API_BASE_DEEPSEEK}",
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"apikey": "${API_KEY_DEEPSEEK}",
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"multimodal": "none",
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"reasoning_capability": "fast,thinking",
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"context_window": 1000000,
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"max_output_tokens": 384000,
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"thinkmode_status": {
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"type": "param_toggle",
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"model_id": "deepseek-v4-pro",
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"fast_extra_parameter": {
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"thinking": {
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"type": "disabled"
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}
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},
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"thinking_extra_parameter": {
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"thinking": {
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"type": "enabled"
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},
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"reasoning_effort": "high"
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}
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},
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"extra_parameter": {},
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"model_description": "你是DeepSeek-V4-Pro，一个面向复杂任务的高性能通用模型，具备突出的 Agent 能力、丰富的世界知识和顶级推理表现，在编程、数学、STEM 与复杂问题分析场景中表现尤为出色，并支持 1M 上下文。"
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}
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]
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}
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