.env.example

# Strava OAuth credentials
# Get these from https://www.strava.com/settings/api
Client_ID = "your_strava_client_id"
Client_Secret = "your_strava_client_secret"

# Filled in automatically by the OAuth flow; leave blank initially
Access_Token = ""
Refresh_Token = ""

# Optional: ignore runs before this date when building the RAG index
# (useful if early data is noisy or pre-watch)
INDEX_AFTER_DATE = "2026-05-20"

# ── Coach model (for `python -m coach.chat`) ─────────────────────────────────
# Pick where the coach's answers come from. Flags on the CLI override these.
#   local     - a model running on your machine (Ollama, LM Studio, vLLM, Hermes)
#   anthropic - Claude, hosted (needs ANTHROPIC_API_KEY)
#   openai    - GPT, hosted (needs OPENAI_API_KEY)
LLM_PROVIDER = "local"

# Model name. Required for local (whatever you pulled, e.g. "hermes3").
# For anthropic/openai you can leave this blank to use a sensible default.
LLM_MODEL = ""

# Only for local / self-hosted OpenAI-compatible servers. Ollama's default is
# below; LM Studio is usually http://localhost:1234/v1.
LLM_BASE_URL = "http://localhost:11434/v1"

# Hosted-service keys (leave blank if you only run local models).
ANTHROPIC_API_KEY = ""
OPENAI_API_KEY = ""