config.example.yaml

#model: "gpt-4.1"
#api_key: "..."

#model: "azure/model-deployment-name"
#api_key: "..."

# Fast Model Summarization
# Optional fast model for summarizing large tool outputs before sending to main LLM
# Helps reduce context window usage, improve performance, and reduce costs
#fast_model: "gpt-4o-mini"

# try adding your own tools here!
# e.g. query company-specific data, fetch logs from your existing observability tools, etc
#custom_toolsets: ["examples/custom_toolset.yaml"]

#alertmanager_url: "http://localhost:9093"

#jira_username: "user@company.com"
#jira_api_key: "..."
#jira_url: "https://your-company.atlassian.net"
#jira_query: "project = 'Natan Test Project' and Status = 'To Do'"

#slack_token: "..."
#slack_channel: "#general"

#github_owner: "robusta-dev"
#github_pat: "..."
#github_url: "https://api.github.com" (default)
#github_repository: "holmesgpt"
#github_query: "is:issue is:open"

# give the LLM explicit instructions how to investigate certain alerts
# use custom_runbook_catalogs (catalog.json files with markdown runbook references)
# the directory containing each catalog.json will be used as a search path for the markdown files
#custom_runbook_catalogs: ["/path/to/your/custom/runbooks/catalog.json"]