mamf 0.1.2

Multi-AI council TUI - orchestrate conversations between AI advisors
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# Me And My Friends - Configuration Example
# Copy this to ~/.config/mamf/config.yaml or ./mamf.yaml

# =============================================================================
# PROVIDER CONFIGURATIONS
# =============================================================================
providers:
  # Ollama - Local or remote LLM server
  ollama:
    base_url: "http://localhost:11434"
    # For remote Ollama behind Cloudflare Access:
    # base_url: "https://ollama.example.com/v1"
    # headers:
    #   CF-Access-Client-Id: "your-client-id"
    #   CF-Access-Client-Secret: "your-client-secret"

  # OpenAI - Uses OPENAI_API_KEY env var by default
  openai:
    # api_key: "sk-..."  # Or set explicitly
    # base_url: "https://api.openai.com/v1"  # For OpenAI-compatible APIs

  # Anthropic - Uses ANTHROPIC_API_KEY env var
  anthropic:
    # api_key: "sk-ant-..."

  # Google Gemini - Uses GOOGLE_API_KEY env var
  google:
    # api_key: "..."

  # Claude CLI - Uses installed `claude` command (npm install -g @anthropic-ai/claude-code)
  claude_cli:
    timeout_secs: 600  # 10 minutes for deep research
    model: "claude-sonnet-4-5-20250929"

# =============================================================================
# ADVISOR CONFIGURATIONS
# =============================================================================
# Each advisor has: model, provider, temperature, order, and optional system_prompt
#
# Tiered Architecture:
#   Light:  Ollama models (fast, local/remote)
#   Medium: Gemini (synthesis, balanced)
#   Heavy:  Claude CLI (deep research with MCP tools)
#
# VRAM Optimization: Group advisors by model to minimize model swaps
# Order determines execution sequence (lower = earlier)

advisors:
  # --- phi4:14b group (analytical reasoning) ---
  cfo:
    model: "phi4:14b"
    provider: ollama
    temperature: 0.3
    order: 1

  investor:
    model: "phi4:14b"
    provider: ollama
    temperature: 0.6
    order: 2

  # --- deepseek-r1:7b (technical reasoning) ---
  cto:
    model: "deepseek-r1:7b"
    provider: ollama
    temperature: 0.4
    order: 3

  # --- qwen2.5:7b (creative) ---
  cmo:
    model: "qwen2.5:7b"
    provider: ollama
    temperature: 0.7
    order: 4

  # --- mistral:7b-instruct (structured, practical) ---
  coo:
    model: "mistral:7b-instruct"
    provider: ollama
    temperature: 0.4
    order: 5

  legal:
    model: "mistral:7b-instruct"
    provider: ollama
    temperature: 0.2
    order: 6

  # --- dolphin-llama3:8b (uncensored, contrarian) ---
  wildcard:
    model: "dolphin-llama3:8b"
    provider: ollama
    temperature: 0.9
    order: 7

  # --- Chairman: Synthesizes all responses (Gemini for quality) ---
  chairman:
    model: "gemini-2.5-flash"
    provider: google
    temperature: 0.5
    order: 100

# =============================================================================
# DEFAULT SETTINGS
# =============================================================================
defaults:
  timeout_secs: 300  # 5 minutes (increase for remote/slow models)
  max_tokens: 4096
  stream: true

# =============================================================================
# RAG (KNOWLEDGE BASE) CONFIGURATION
# =============================================================================
# Requires: Qdrant running (docker run -p 6333:6333 qdrant/qdrant)
#           Ollama with embedding model (ollama pull nomic-embed-text)
rag:
  qdrant_url: "http://localhost:6333"
  collection: "mamf_docs"
  embedding_model: "nomic-embed-text"
  chunk_size: 1000
  chunk_overlap: 200
  top_k: 5
  docs_dir: "./docs"

# =============================================================================
# COMPANY CONTEXT (Optional)
# =============================================================================
# Personalizes advisor responses with your company's context
# company:
#   name: "Your Company"
#   product: "Your Product"
#   stage: "Seed"  # Pre-seed, Seed, Series A, etc.
#   industry: "Technology"