config.toml.example

[download]
audio_quality = "30216"
output_dir = "./transcriptions"
# 数据库文件存放目录（CLI 和 Web UI 共享）
db_dir = "./db_data"

[storage]
# 可选: "local"、"minio"、"alicloud"
# Groq 转录可以使用 local；Qwen/DashScope 文件转录需要 minio 或 alicloud 提供公网临时 URL。
backend = "local"

[storage.minio]
endpoint = "127.0.0.1:9000"
bucket = "b2t-transcriptions"
access_key = "your-minio-access-key"
secret_key = "your-minio-secret-key"
secure = false
region = ""
base_prefix = "b2t"
auto_create_bucket = true
temporary_url_expire_seconds = 7200

[storage.alicloud]
region = "cn-beijing"
bucket = "your-oss-bucket"
access_key_id = "your-access-key-id"
access_key_secret = "your-access-key-secret"
base_prefix = "b2t"
temporary_prefix = "temp-audio"
public_base_url = ""
auto_create_bucket = false

[stt]
# 当前启用的 STT profile
# 开箱默认使用 groq-main，避免必须先配置对象存储。
# 如需 DashScope/Qwen ASR，将这里改为 "qwen-main"，并配置 storage.alicloud 或 storage.minio。
profile = "groq-main"

[stt.profiles.qwen-main]
provider = "qwen"
language = "zh"
# 可选: "local"、"minio"、"alicloud"。为空时复用 storage.backend。
storage_profile = "alicloud"
qwen_api_key = "your-dashscope-api-key"
# 支持 `qwen3-asr-flash-filetrans` 与 `fun-asr`
qwen_model = "qwen3-asr-flash-filetrans"
qwen_base_url = "https://dashscope.aliyuncs.com/api/v1"

[stt.profiles.groq-main]
provider = "groq"
language = "zh"
storage_profile = "local"
# groq_api_key 可从 https://console.groq.com/keys 获取
groq_api_key = "your-groq-api-key"
groq_model = "whisper-large-v3-turbo"
groq_base_url = "https://api.groq.com/openai/v1"
groq_chunk_length = 1800
groq_overlap = 10
groq_bitrate = "64k"

[summarize]
profile = "bailian-main"
# 默认开启 thinking；OpenRouter 走 extra_body.reasoning，百炼走 extra_body.enable_thinking
enable_thinking = true
preset = "timeline_merge"
presets_file = "summary_presets.toml"
# 可选：按 UP 主注入术语纠错上下文，默认读取项目根目录的 context.toml。
# 文件不存在时会自动跳过，不影响总结流程。
context_file = "context.toml"

[summarize.profiles.bailian-main]
provider = "bailian"
model = "qwen3-max"
api_base = "https://dashscope.aliyuncs.com/compatible-mode/v1"
api_key = "your-dashscope-api-key"

[summarize.profiles.openrouter-main]
provider = "openrouter"
model = "moonshotai/kimi-k2.5"
api_base = "https://openrouter.ai/api/v1"
api_key = "your-openrouter-api-key"
# 可选：OpenRouter 路由时优先尝试的 provider（1 个或多个）
providers = ["OpenAI", "Anthropic"]

[summarize.profiles.groq-main]
provider = "groq"
model = "llama-3.3-70b-versatile"
api_base = "https://api.groq.com/openai/v1"
api_key = "your-groq-api-key"

[fancy_html]
# Fancy HTML 默认使用的 profile。
# 这里必须显式配置，不再回退到 summarize.profile。
profile = "openrouter-main"

[converter]
min_length = 60

[rag]
enabled = false
collection_name = "b2t_rag"
chroma_dir = "./chroma_data"
chunk_size = 800
chunk_overlap = 100
top_k = 10
# RAG 回答阶段复用 summarize.profiles 中的模型配置
llm_profile = "bailian-main"

[rag.embedding]
provider = "bailian"
model = "text-embedding-v3"
api_base = "https://dashscope.aliyuncs.com/compatible-mode/v1"
api_key = "your-dashscope-api-key"

[feishu]
# 可选: "disabled"、"webhook"、"app"
mode = "disabled"
# mode=webhook 时使用群机器人 webhook
webhook_url = "https://open.feishu.cn/open-apis/bot/v2/hook/your-webhook-token"
# mode=app 时使用自建应用发卡片
app_id = ""
app_secret = ""
receive_id = ""
# 可选: open_id、user_id、union_id、chat_id、email
receive_id_type = "open_id"
title_prefix = "b2t"
timeout_seconds = 20
# 飞书消息内最多保留多少字符的总结正文
summary_max_chars = 8000

[bilibili]
SESSDATA = ""
bili_jct = ""
buvid3 = ""
DedeUserID = ""
DedeUserID__ckMd5 = ""
refresh_token = ""

[analytics.counterscale]
site_id = ""
tracker_url = ""

[monitor]
enabled = false
state_file = "./db_data/bilibili_monitor_state.json"
user_agent = "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36"
lookback_hours = 48
first_run_max_push = 3
default_check_interval = 300
startup_notification = true
# 可选：单独覆盖监控链路使用的总结 preset / profile
summary_preset = ""
summary_profile = ""
# 为空时复用 download.output_dir
output_dir = ""

# 监控功能的 creator 配置暂不在 README 中展开。需要时按下面格式添加：
# [[monitor.creators]]
# uid = 123456
# name = "creator-name"
# check_interval = 300