# THIS IS A TEMPLATE CONFIG FILE FOR HADES
# We provide reasonable defaults for most configuration items, but you should 
# review this before using it in production. 


[honeypot]
# The name of the file you wish to write the honeypot log to.
log_file = ssh_log.log 

# Settings for the SSH honeypot
[ssh]
# The port the SSH honeypot will listen on. You will probably want to set 
# this to 22 for production use.
port = 8022
# The host key to use for the SSH server. This should be a private key.
# See the README for how to generate this key.
host_priv_key = ssh_host_key
# The server version string to send to clients.
server_version_string = SSH-2.0-OpenSSH_8.2p1 Ubuntu-4ubuntu0.3

# Settings to configure which LLM backend to use.  Only one stanza 
# should be uncommented at a time.
[llm]
##### OpenAI
llm_provider = openai
model_name = gpt-4o

##### Any model via Amazon Bedrock
# Valid AWS model names can be found here: https://docs.aws.amazon.com/bedrock/latest/userguide/model-ids.html
#llm_provider = AWS
#model_name = anthropic.claude-3-5-sonnet-20240620-v1:0
# NOTE: Bedrock is not supported on all AWS regions.
#aws_region = us-east-1 
#aws_credentials_profile = default

##### Google Gemini
#llm_provider = gemini
#model_name = gemini-1.5-pro


# The plain text file containing the LLM system prompt. 
# This is required, no matter which LLM you use.
system_prompt_file = prompt.txt

# The maximum number of tokens to send to the LLM backend in a single 
# request. This includes the message history for the session, so should
# be fairly high. Not all models support large token counts, so be sure 
# to test this with your model.
trimmer_max_tokens = 64000

# The valid user accounts and passwords for the SSH server, in the
# form "username = password".  Note that you can enable login without 
# a password by leaving that field blank (e.g., "guest =" on a line by
# itself)
[user_accounts]
guest = 
user1 = secretpw
user2 = password123