OpenManus/config/config.example.toml

86 lines
2.9 KiB
TOML

# Global LLM configuration
[llm]
model = "claude-3-7-sonnet-20250219" # The LLM model to use
base_url = "https://api.anthropic.com/v1/" # API endpoint URL
api_key = "YOUR_API_KEY" # Your API key
max_tokens = 8192 # Maximum number of tokens in the response
temperature = 0.0 # Controls randomness
# [llm] # Amazon Bedrock
# api_type = "aws" # Required
# model = "us.anthropic.claude-3-7-sonnet-20250219-v1:0" # Bedrock supported modelID
# base_url = "bedrock-runtime.us-west-2.amazonaws.com" # Not used now
# max_tokens = 8192
# temperature = 1.0
# api_key = "bear" # Required but not used for Bedrock
# [llm] #AZURE OPENAI:
# api_type= 'azure'
# model = "YOUR_MODEL_NAME" #"gpt-4o-mini"
# base_url = "{YOUR_AZURE_ENDPOINT.rstrip('/')}/openai/deployments/{AZURE_DEPOLYMENT_ID}"
# api_key = "AZURE API KEY"
# max_tokens = 8096
# temperature = 0.0
# api_version="AZURE API VERSION" #"2024-08-01-preview"
# [llm] #OLLAMA:
# api_type = 'ollama'
# model = "llama3.2"
# base_url = "http://localhost:11434/v1"
# api_key = "ollama"
# max_tokens = 4096
# temperature = 0.0
# Optional configuration for specific LLM models
[llm.vision]
model = "claude-3-7-sonnet-20250219" # The vision model to use
base_url = "https://api.anthropic.com/v1/" # API endpoint URL for vision model
api_key = "YOUR_API_KEY" # Your API key for vision model
max_tokens = 8192 # Maximum number of tokens in the response
temperature = 0.0 # Controls randomness for vision model
# [llm.vision] #OLLAMA VISION:
# api_type = 'ollama'
# model = "llama3.2-vision"
# base_url = "http://localhost:11434/v1"
# api_key = "ollama"
# max_tokens = 4096
# temperature = 0.0
# Optional configuration for specific browser configuration
# [browser]
# Whether to run browser in headless mode (default: false)
#headless = false
# Disable browser security features (default: true)
#disable_security = true
# Extra arguments to pass to the browser
#extra_chromium_args = []
# Path to a Chrome instance to use to connect to your normal browser
# e.g. '/Applications/Google Chrome.app/Contents/MacOS/Google Chrome'
#chrome_instance_path = ""
# Connect to a browser instance via WebSocket
#wss_url = ""
# Connect to a browser instance via CDP
#cdp_url = ""
# Optional configuration, Proxy settings for the browser
# [browser.proxy]
# server = "http://proxy-server:port"
# username = "proxy-username"
# password = "proxy-password"
# Optional configuration, Search settings.
# [search]
# Search engine for agent to use. Default is "Google", can be set to "Baidu" or "DuckDuckGo".
#engine = "Google"
## Sandbox configuration
#[sandbox]
#use_sandbox = false
#image = "python:3.12-slim"
#work_dir = "/workspace"
#memory_limit = "1g" # 512m
#cpu_limit = 2.0
#timeout = 300
#network_enabled = true