[paths]
mascarade_repo = "/Users/electron/Documents/Projets/mascarade"
# Route tout via Mascarade core local — Mistral/Apple/Ollama sont des providers
core_base_url = "http://127.0.0.1:8100"
apple_runtime_url = "http://127.0.0.1:8201"
ollama_tags_url = "http://127.0.0.1:11434/api/tags"
# `openai_compatible` envoie `ollama:*` via Mascarade /v1/chat/completions
# qui route vers le provider Ollama (P2P vers VM) ou Mistral selon le prefixe.
ollama_runtime = "openai_compatible"
ollama_openai_base_url = "http://127.0.0.1:8100"
apple_model_ready_timeout_seconds = 30
apple_model_poll_interval_seconds = 2

[smoke]
chapter = "02"
intention = "Chapitre court. Une femme arrive dans une ville de nuit, trouve un indice simple, et finit sur une decision risquee. Style direct, phrases courtes, ton sobre."
timeout_seconds = 300

[preset]
ANE_PROVIDER = "openai_compatible"
ANE_BASE_URL = "http://127.0.0.1:8100"  # Mascarade core local — route vers Mistral/Apple/Ollama
# ANE_API_KEY doit venir de l'environnement shell (export ANE_API_KEY=...)
ANE_TIMEOUT = "300"
ANE_MAX_TOKENS_STRUCTURE = "256"
ANE_MAX_TOKENS_DRAFT = "768"
ANE_MAX_TOKENS_CRITIQUE = "512"
ANE_MAX_TOKENS_REWRITE = "1024"
ANE_MAX_TOKENS_GATE = "384"
ANE_MAX_TOKENS_REPAIR = "1536"
ANE_MAX_TOKENS_MEMORY = "320"
ANE_REPAIR_MAX_PASSES = "2"

[ensure_models]
apple_models = [
  "qwen3-4b-instruct-2507-q4f16",
  "qwen2.5-0.5b-instruct-onnx",
  "qwen3.5-4b-onnx-q4f16",
]
ollama_models = [
  "qwen2.5:7b",
  "qwen2.5:1.5b",
  "mistral-nemo:latest",
]

[lots.priority_models]
models = [
  "mistral:mistral-large-latest",
  "ollama:qwen2.5:7b",
  "apple-coreml:qwen3-4b-instruct-2507-q4f16",
]

[lots.baselines]
models = [
  "apple-coreml:qwen2.5-0.5b-instruct-onnx",
  "ollama:qwen2.5:1.5b",
]

[lots.french_models]
models = [
  "mistral:mistral-large-latest",
  "ollama:mistral-nemo:latest",
  "apple-coreml:qwen3-4b-instruct-2507-q4f16",
]

# Prompt profiles per model (optional — falls back to v1 if not set)
[prompt_profiles]
"ollama:mistral-nemo:latest" = "v2_nemo"

[lots.preflight_only]
models = []

[tracking.ane]
todo_active = "TODO_ACTIVE.md"
todo_done = "TODO_IMPLEMENTE.md"
plan = "docs/EXECUTION_PLAN_2026-03-22.md"
comparison = "docs/MODEL_COMPARISON_2026-03-22.md"
readme = "README.md"
runbook = "docs/runbooks/LOCAL_GENERATION.md"

[tracking.mascarade]
todo = "TODO_AI_NOVEL_ENGINE.md"
plan = "docs/EXECUTION_PLAN_2026-03-08.md"
readme = "README.md"
runbook = "docs/RUNBOOK_APPLE_LLM_LOCAL.md"

[next_actions]
rewrite_compaction = "Rejouer priority_models avec mistral:mistral-large-latest comme reference qualite + qwen3-4b-instruct-2507 comme ref locale."