# date: 20260719
# =============================================
# 前端 Vite 环境变量（可选，如需在 UI 中访问 Supabase）
# =============================================
VITE_SUPABASE_URL=https://ysescuwiauwemgvhhrvc.supabase.co
VITE_SUPABASE_SOURCE_FILES_BUCKET=source-files
VITE_SUPABASE_PUBLISHABLE_KEY=sb_publishable_C8vJ-5JIF00ZhpLno5CBTQ_TJ4usis_
SUPABASE_PUBLISHABLE_KEY=sb_publishable_C8vJ-5JIF00ZhpLno5CBTQ_TJ4usis_
SUPABASE_SECRET_KEY=sb_secret_0Fa-JZ_PEAt9x2kvLPdbsg_dSGGiy8x

# 可选：如果前后端不是同源部署，可显式指定自动化 API 地址
# VITE_AUTOMATION_BASE_URL=http://127.0.0.1:3030
# VITE_AUTOMATION_PORT=3030

# 在 Supabase 控制台 → Project Settings → API 中获取
PROMPT_SUPABASE_URL=https://wlfnmvfoteuohuqamxzv.supabase.co
#SUPABASE_ANON_KEY=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJzdXBhYmFzZSIsInJlZiI6IndsZm5tdmZvdGV1b2h1cWFteHp2Iiwicm9sZSI6ImFub24iLCJpYXQiOjE3NzUwMjAzNDQsImV4cCI6MjA5MDU5NjM0NH0.umWC4dH-xI7ZLS0VBeIDJZtHWeCRREe5NjOhmyvhRJU
# 仅服务端使用，不要暴露到前端
PROMPT_SUPABASE_SERVICE_ROLE_KEY=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJzdXBhYmFzZSIsInJlZiI6IndsZm5tdmZvdGV1b2h1cWFteHp2Iiwicm9sZSI6InNlcnZpY2Vfcm9sZSIsImlhdCI6MTc3NTAyMDM0NCwiZXhwIjoyMDkwNTk2MzQ0fQ.4YQzmy6vpZcNpGFvBo-Mn0o0BGUq1BncDOMgi42I8mA
#SUPABASE_ACCESS_TOKEN=sbp_87b2796a8657dff6e252e5d458a87e062f8b1135
PROMPT_ENV=prod
PROMPT_CACHE_TTL_MS=300000

# =============================================
# 新的云端数据库配置
# =============================================
SUPABASE_URL=https://ysescuwiauwemgvhhrvc.supabase.co
# 仅服务端使用，不要暴露到前端


# LLM 配置
# =============================================
# Provider 命名空间配置。仅配置需要启用的 Provider。
DEEPSEEK_LLM_BASE_URL=https://api.deepseek.com
DEEPSEEK_LLM_API_KEY=sk-419712ee7f74487e99ea38f21e64d1ab
MIMO_LLM_BASE_URL=https://api.xiaomimimo.com/v1
MIMO_LLM_API_KEY=sk-c88tps5l3dflpe37qgizb2bzd167hie4r8x6johlnhryvagu
GEMINI_LLM_BASE_URL=https://generativelanguage.googleapis.com/v1beta/openai
GEMINI_LLM_API_KEY=

# 阶段级 Provider + 模型配置。
DOCUMENT_OCR_LLM_PROVIDER=mimo
DOCUMENT_OCR_LLM_MODEL=mimo-v2.5
DOCUMENT_EXTRACTION_LLM_PROVIDER=mimo
DOCUMENT_EXTRACTION_LLM_MODEL=mimo-v2.5
STANDARDIZATION_BULK_LLM_MODEL=mimo-v2.5
STANDARDIZATION_BULK_LLM_CHUNK_SIZE=10
STANDARDIZATION_BULK_LLM_CONCURRENCY=4
STANDARDIZATION_BULK_LLM_FALLBACK_MODEL=deepseek-v4-pro
KEYWORD_SEMANTIC_LLM_PROVIDER=deepseek
KEYWORD_SEMANTIC_LLM_MODEL=deepseek-v4-pro
# DeepSeek 标准化阶段可选参数；默认禁用 thinking，结构化输出默认 max_tokens=8192
STANDARDIZATION_LLM_MAX_TOKENS=8192
STANDARDIZATION_LLM_THINKING=disabled
# STANDARDIZATION_LLM_REASONING_EFFORT=high
SEARCH_VISION_LLM_PROVIDER=gemini
SEARCH_VISION_LLM_MODEL=gemini-2.5-pro-preview-p
FIXED_SEARCH_LLM_PROVIDER=mimo
FIXED_SEARCH_LLM_MODEL=mimo-v2.5
FIXED_SEARCH_LLM_ONLINE_CHUNK_SIZE=25
FIXED_SEARCH_LLM_ONLINE_CONCURRENCY=4
FIXED_SEARCH_LLM_FALLBACK_PROVIDER=deepseek
FIXED_SEARCH_LLM_FALLBACK_MODEL=deepseek-v4-pro
FIXED_SEARCH_LLM_FALLBACK_CHUNK_SIZE=10
FIXED_SEARCH_LLM_FALLBACK_CONCURRENCY=2
CHATBOT_INTENT_LLM_PROVIDER=mimo
CHATBOT_INTENT_LLM_MODEL=mimo-v2.5
CHATBOT_INTENT_LLM_FALLBACK_PROVIDER=deepseek
CHATBOT_INTENT_LLM_FALLBACK_MODEL=deepseek-v4-flash

# 标准化统一使用 MiMo 批量分析，失败项降级 DeepSeek。

# =============================================
# 自动化服务配置
# =============================================
AUTOMATION_PORT=3030
STANDARDIZE_CONCURRENCY=1
LLM_QUEUE_MIN_INTERVAL_MS=3000
LLM_RETRY_MAX_ATTEMPTS=4
LLM_RETRY_BASE_DELAY_MS=1500
#设置每个组合词搜索的页面数量
SEARCH_FIXED_RUNTIME_PAGE_COUNT=1

SEARCH_PRESERVE_TASK_RUNTIME=1
FAST_SEARCH_CONTEXT_LAUNCH_TIMEOUT_MS=30000
FAST_SEARCH_CONTEXT_CLOSE_TIMEOUT_MS=10000
FAST_SEARCH_SKILL_HASH_MODE=warn
FAST_SEARCH_ENGINE=searxng
SEARXNG_BASE_URL=http://127.0.0.1:8888

# =============================================
# 1688 自动化，可选
# =============================================
LOGIN_1688_USER=
LOGIN_1688_PASS=
RESULT_LIMIT=10
CONTACT_MERCHANTS=0
HEADLESS=1
KEEP_BROWSER_OPEN=0

# 1688 Playwright 长期账户 profile 根目录；不同 Mac 服务器可配置为不同绝对路径
ALPHAPULSE_1688_PROFILE_ROOT=~/.1688-autoprocurement/1688-profiles
# 固定搜索候选池动态补抓目标；实际目标为 min(该值, AI组合词数量 * 每词最大页数 * 60)。
FIXED_SEARCH_CANDIDATE_POOL_TARGET=500
# 每个 AI 搜索词最多动态翻页的安全上限；1688 后续页经常无数据，默认最多抓 3 页。
FIXED_SEARCH_MAX_PAGES_PER_KEYWORD=3

# ============================================================
# Hermes Agent API Server，可选
# ============================================================
HERMES_AGENT_ENABLED=1
HERMES_API_BASE_URL=http://127.0.0.1:8643/v1
HERMES_API_KEY=hermes-local-I_toehCQGxumhVvcuPHHJXHVzuI3cJcEMxKJfEjzuio
HERMES_MODEL=
HERMES_RUN_TIMEOUT_MS=3000000
HERMES_REQUEST_TIMEOUT_MS=30000
HERMES_REQUEST_MAX_ATTEMPTS=3
HERMES_CREATE_RUN_MAX_ATTEMPTS=3
HERMES_POLL_INTERVAL_MS=2000
HERMES_EVENT_STREAM_ENABLED=1
# Agent execution hard cap is 5. Legacy inputs up to 20 are parsed for compatibility
# but API, CLI, UI, reruns and Scheduler always execute at min(requested, 5).
HERMES_ITEM_CONCURRENCY=5
HERMES_OUTPUT_DIR=automation/output/agent-search-runs
HERMES_SYSTEM_USER_EMAIL=hermes@local.system
HERMES_SYSTEM_USER_DISPLAY_NAME=Hermes

# Agent Search production selection budgets. These affect future runs only.
AGENT_SEARCH_MULTI_ROUND_ENABLED=0
AGENT_SEARCH_COLLECTION_MAX_ROUNDS=4
AGENT_SEARCH_COLLECTION_ROUND_RAW_TARGET=2500
AGENT_SEARCH_MAX_PAGES_PER_QUERY=10
AGENT_SEARCH_COLLECTION_ROUND_TIMEOUT_MS=1350000
AGENT_SEARCH_COLLECTION_TIMEOUT_MS=5400000
AGENT_SEARCH_MAX_CANDIDATES_PER_SOURCE=10000
AGENT_SEARCH_MAX_CANDIDATES_PER_QUERY=2500
AGENT_SEARCH_MAX_CANDIDATES_PER_ITEM=10000
AGENT_SEARCH_SELECTION_BATCH_SIZE=250
AGENT_SEARCH_SELECTION_MAX_BATCHES=40
AGENT_SEARCH_LOW_YIELD_WINDOW=3
AGENT_SEARCH_LOW_YIELD_THRESHOLD=0
AGENT_SEARCH_MAX_ARTIFACT_INPUT_BYTES=67108864

# Future artifact policy. Historical artifacts are never changed by this policy.
AGENT_SEARCH_ARTIFACT_MODE=compact
AGENT_SEARCH_ARTIFACT_MAX_STAGE_RECORDS=10000
AGENT_SEARCH_ARTIFACT_MAX_SINGLE_BYTES=67108864
AGENT_SEARCH_ARTIFACT_RETENTION_DAYS=30
AGENT_SEARCH_ARTIFACT_DELETE_ENABLED=0
# Hermes API Server 使用的 profile 需允许 execute_code/代码执行审批；
# 若 ~/.hermes/config.yaml 为 approvals.mode: manual 且无交互审批，
# Agent 搜索会记录 diagnostics.approval_required=true，并可能返回空结果。

# ============================================================
# Agentic Web Tools，可选
# 默认关闭；开启后标准化弱结果可用网页证据 repair，搜索阶段可用 Firecrawl 补充 1688 候选 URL
# ============================================================
AGENTIC_WEB_ENABLED=1
STANDARDIZATION_AGENTIC_WEB_ENABLED=1
SEARCH_AGENTIC_WEB_ENABLED=0
AGENTIC_WEB_SEARCH_BACKEND=firecrawl
AGENTIC_WEB_EXTRACT_BACKEND=firecrawl
FIRECRAWL_API_KEY=fc-1e5f8802cc444a71ab1f6dceb17b07e7
# 可选：自托管 Firecrawl
FIRECRAWL_API_URL=https://api.firecrawl.dev
AGENTIC_WEB_SEARCH_LIMIT=5
AGENTIC_WEB_EXTRACT_URL_LIMIT=3
AGENTIC_WEB_TIMEOUT_MS=60000

# ============================================================
# Project Skills，可选
# 将项目内 SKILL.md 作为受控提示词资产接入模型；只允许 web_search/web_extract，不执行本地脚本
# ============================================================
SKILLS_ENABLED=1
SKILL_ROOTS=automation/skills/catalog
SKILL_ALLOWLIST=1688-identify-product-keywords,1688-find-product-links,1688-product-identification-search
SKILL_TOOL_ALLOWLIST=web_search,web_extract
SKILL_MAX_STEPS=6

# 智能询价 worker，可选
WORKER_BATCH_SIZE=5
WORKER_IDLE_SEC=30
MIMO_API_BASE=https://api.xiaomimimo.com/v1
MIMO_API_KEY=sk-c88tps5l3dflpe37qgizb2bzd167hie4r8x6johlnhryvagu
MIMO_MODEL=mimo-v2.5
MIMO_LITELLM_MODEL=openai/mimo-v2.5

# ============================================================
# Supabase 降载与数据治理(2026-07,全部可选,列出值即默认值)
# 背景与上线顺序见 docs/db-baseline-checklist.md
# ============================================================
# --- 前端(Vite) ---
# React Query 全局 staleTime(ms)
VITE_RQ_STALE_TIME_MS=30000
# 轮询间隔(ms);设置后覆盖 realtime 健康度自适应(健康时 20s/120s)
VITE_POLL_ACTIVE_MS=10000
VITE_POLL_IDLE_MS=60000
# realtime 失效合并窗口(ms)
VITE_REALTIME_INVALIDATE_MS=3000

# --- agent-search 写收敛 ---
# run 进度/hermes_run_ids 合并写间隔(ms),fast-search 复用同一变量
AGENT_SEARCH_DB_WRITE_COALESCE_MS=3000
# diagnostics 落库时机:terminal=仅 item 终态写一次;always=旧行为(回滚开关)
AGENT_SEARCH_DB_DIAGNOSTICS_MODE=terminal
# hermes_events/hermes_raw_output/raw_result 落库模式:summary=摘要+8KB 预览;full=整包(回滚开关)
AGENT_SEARCH_DB_RAW_OUTPUT_MODE=summary
# DB 写重试次数(默认从 5 降到 3,库饱和时减小重试放大)
AGENT_SEARCH_DB_RETRY_MAX_ATTEMPTS=3
# 熔断:连续 N 次可重试失败 → open（后续执行准入关闭；已产生 mutation 仅经私有 Storage durable pending 回放）
AGENT_SEARCH_DB_BREAKER_THRESHOLD=5
AGENT_SEARCH_DB_BREAKER_OPEN_MS=60000
AGENT_SEARCH_DB_BREAKER_DISABLED=0
# 进程级并发 DB 写上限(信号量)
AGENT_SEARCH_DB_WRITE_CONCURRENCY=4
# Agent Search run=3 / item=15 / DB write=4 是数据库全局硬上限；满载立即 503，不接受内存排队，也不能用环境变量扩大。


# --- fast-search 写收敛 ---
# product_links.detail 模式:slim=只存未平铺字段;full=整包 product(回滚开关)
FAST_SEARCH_DETAIL_MODE=slim
# stage_one_intent/stage_two_result 单列入库上限(字节),超限先写私有 Storage 双 hash 归档，再存摘要引用
# FAST_SEARCH_STAGE_PAYLOAD_MAX_BYTES=262144

# --- durable private automation archive (fixed private STANDARD bucket) ---
SUPABASE_AUTOMATION_ARCHIVE_BUCKET=automation-archives
# Must normalize to the same project origin as SUPABASE_URL; omit to reuse SUPABASE_URL.
# SUPABASE_AUTOMATION_ARCHIVE_URL=https://your-project.supabase.co
# Optional dedicated server-only key; accepts sb_secret_* or legacy JWT role=service_role only.
# SUPABASE_AUTOMATION_ARCHIVE_KEY=

# --- server ---
# 询价任务汇总轮询间隔(ms),已改 SQL 聚合 RPC
# INQUIRY_SUMMARY_POLL_MS=10000

# --- 数据保留清理器(默认关闭 + dry-run,启用步骤见 docs/db-baseline-checklist.md) ---
# DB_RETENTION_ENABLED=0
# DB_RETENTION_DRY_RUN=1
# DB_RETENTION_WINDOW=02:00-06:00
# DB_RETENTION_MAX_BATCHES_PER_TABLE=20
# 单表覆盖:DB_RETENTION_<TABLE>_ENABLED / _SCRUB_DAYS / _PURGE_DAYS(TABLE=表名大写)
# 默认仅 SEARCH_TASK_STATUS_AUDIT 启用(purge 14 天),其余表需显式开启

# 阿里云智能外呼 OutboundBot
# 兼容阿里云 SDK 通用变量名
ALIBABA_CLOUD_ACCESS_KEY_ID=LTAI5t7inVjztLWnDY6rSrhx
ALIBABA_CLOUD_ACCESS_KEY_SECRET=XhkwEWP7H5QmiwRe9yWU0RbFTQPiyq

# 当前项目外呼集成读取的变量名
ALIYUN_ACCESS_KEY_ID=LTAI5t7inVjztLWnDY6rSrhx
ALIYUN_ACCESS_KEY_SECRET=XhkwEWP7H5QmiwRe9yWU0RbFTQPiyq
ALIYUN_OUTBOUNDBOT_REGION_ID=cn-shanghai
ALIYUN_OUTBOUNDBOT_ENDPOINT=outboundbot.cn-shanghai.aliyuncs.com
ALIYUN_OUTBOUNDBOT_INSTANCE_ID=6c0187fa-b867-47d6-bca9-dde819fbacf0
ALIYUN_OUTBOUNDBOT_SCRIPT_ID=d7cda9db-6687-4502-bfef-2156de6b7050
ALIYUN_OUTBOUNDBOT_CALLING_NUMBERS=