# Hermes config for gerhard — evaluation instance
#
# LLM calls go to festinger, which sits in front of the real inference
# providers. The agent identity is encoded in the base URL so festinger
# can route to the right model and build the per-agent knowledge graph.
#
#   festinger routing:  http://festinger:11434/gerhard/v1/chat/completions
#   → festinger looks up agent_name="gerhard" in agent_models table
#   → if found: routes to the registered provider/model
#   → if not found: falls through to upstream_openai in config.yaml

model:
  provider: "custom"
  base_url: "http://festinger:11434/gerhard/v1"
  # No api_key needed — festinger does not authenticate OpenAI-compat requests.
  # Set a placeholder so the OpenAI SDK doesn't complain.
  api_key: "festinger"
  # Model name is what gets sent in the request body. festinger can override
  # this per-agent via the agent_models table. Set something reasonable as
  # a default (festinger's upstream_openai fallback will use whatever it supports).
  default: "claude-opus-4-6"

terminal:
  backend: "local"
  cwd: "."
  timeout: 180
  lifetime_seconds: 300

agent:
  max_turns: 60
  verbose: false
  reasoning_effort: "medium"

memory:
  memory_enabled: true
  user_profile_enabled: true

compression:
  enabled: true
  threshold: 0.50
  target_ratio: 0.20
  protect_last_n: 20

session_reset:
  mode: both
  idle_minutes: 1440
  at_hour: 4