# Sophia runtime configuration.
# Copy to config.local.toml to override locally (gitignored).

[server]
host       = "127.0.0.1"
port       = 7777
static_dir = "web/dist"

# Persistence (Stage 6). `data_dir` is a directory; sled creates and manages
# files inside it. Snapshots are written every `snapshot_interval_secs`
# while the server runs; on boot any existing galaxy snapshots are loaded
# and re-instantiated in the sim.
[storage]
data_dir              = "data"
snapshot_interval_secs = 60

[lm_studio]
# LM Studio's OpenAI-compatible REST endpoint.
base_url        = "http://127.0.0.1:1234/v1"
chat_model      = "google/gemma-4-e4b"
# Embedding model loaded in LM Studio. Often a separate small model
# (e.g. "nomic-embed-text-v1.5"). Set this to whatever you load.
embedding_model = "text-embedding-nomic-embed-text-v1.5"
# Fixed parallel-op ceiling per §13.5 of docs/system-analysis.md.
parallel_ops    = 8
# LM Studio 0.3.x+ enables auth by default. Create a token in the LM Studio
# app under Developer → API Tokens, then put it in `config.local.toml`
# (which is gitignored) like:
#
#   [lm_studio]
#   api_token = "lms-..."
#
# config.local.toml is merged on top of this file at startup, so it only
# needs to contain the fields you want to override. Leave api_token unset
# if your LM Studio install has auth disabled.

# Default torus shape for newly-created galaxies. The world is fixed-size
# (per the Topology Pivot — we replaced density-driven recentering with
# manually-resizable torus volumes). Live resize available at
# `POST /api/galaxy/:id/resize`. major_radius must exceed minor_radius.
[galaxy_defaults]
major_radius = 100.0
minor_radius = 30.0

# Caveman token caps per §13.5.
# Note: gemma-4-e4b is a *thinking* model — it emits a hidden reasoning
# stream before its visible content. Every `_out` cap therefore needs to
# budget for the hidden reasoning *plus* the visible answer. Numbers
# verified against logs: a 150-cap responder hit "response had no content"
# every time (all budget eaten by reasoning).
[token_caps]
introspection_in    = 600
introspection_out   = 900
peer_msg_in         = 100
peer_msg_out        = 100
synthesis_in        = 300
synthesis_out       = 80
query_responder_in  = 400
query_responder_out = 700
query_integrator_in = 1200
query_integrator_out = 1200
hard_ceiling_in     = 1500
hard_ceiling_out    = 1500