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feat: add timmy interview command for structured agent initialization (#87)

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Alexander Whitestone
2026-02-28 09:35:44 -05:00
committed by GitHub
parent add3f7a07a
commit ab014dc5c6
7 changed files with 593 additions and 7 deletions
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8
src/config.py
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@@ -28,7 +28,7 @@ class Settings(BaseSettings):
# "airllm" — always use AirLLM (requires pip install ".[bigbrain]")
# "auto" — use AirLLM on Apple Silicon if airllm is installed,
# fall back to Ollama otherwise
timmy_model_backend: Literal["ollama", "airllm", "grok", "auto"] = "ollama"
timmy_model_backend: Literal["ollama", "airllm", "grok", "claude", "auto"] = "ollama"
# AirLLM model size when backend is airllm or auto.
# Larger = smarter, but needs more RAM / disk.
@@ -44,6 +44,12 @@ class Settings(BaseSettings):
grok_max_sats_per_query: int = 200
grok_free: bool = False # Skip Lightning invoice when user has own API key
# ── Claude (Anthropic) — cloud fallback backend ────────────────────────
# Used when Ollama is offline and local inference isn't available.
# Set ANTHROPIC_API_KEY to enable. Default model is Haiku (fast + cheap).
anthropic_api_key: str = ""
claude_model: str = "haiku"
# ── Spark Intelligence ────────────────────────────────────────────────
# Enable/disable the Spark cognitive layer.
# When enabled, Spark captures swarm events, runs EIDOS predictions,