conf.yaml.example

# LLM Config
REASONING_MODEL:
  model: "doubao-1-5-thinking-pro-250415"
  api_key: xxxx
  base_url: https://ark.cn-beijing.volces.com/api/v3

BASIC_MODEL:
  model: "doubao-1-5-pro-32k-250115"
  api_key: xxxx
  base_url: https://ark.cn-beijing.volces.com/api/v3

VISION_MODEL:
  model: "doubao-1.5-vision-pro-250328"
  api_key: xxxx
  base_url: https://ark.cn-beijing.volces.com/api/v3
feat: lite deep researcher implementation 2025-04-07 16:25:55 +08:00			`# LLM Config`
			`REASONING_MODEL:`
feat: use doubao model by default 2025-04-22 11:04:28 +08:00			`model: "doubao-1-5-thinking-pro-250415"`
feat: support human in the loop 2025-04-14 18:01:50 +08:00			`api_key: xxxx`
feat: use doubao model by default 2025-04-22 11:04:28 +08:00			`base_url: https://ark.cn-beijing.volces.com/api/v3`
feat: lite deep researcher implementation 2025-04-07 16:25:55 +08:00
			`BASIC_MODEL:`
feat: use doubao model by default 2025-04-22 11:04:28 +08:00			`model: "doubao-1-5-pro-32k-250115"`
feat: support human in the loop 2025-04-14 18:01:50 +08:00			`api_key: xxxx`
feat: use doubao model by default 2025-04-22 11:04:28 +08:00			`base_url: https://ark.cn-beijing.volces.com/api/v3`
feat: lite deep researcher implementation 2025-04-07 16:25:55 +08:00
			`VISION_MODEL:`
feat: use doubao model by default 2025-04-22 11:04:28 +08:00			`model: "doubao-1.5-vision-pro-250328"`
feat: support human in the loop 2025-04-14 18:01:50 +08:00			`api_key: xxxx`
feat: use doubao model by default 2025-04-22 11:04:28 +08:00			`base_url: https://ark.cn-beijing.volces.com/api/v3`