# ImageApi LLM configuration. Copy to `llm.toml` next to `.env` (or point
# LLM_CONFIG_PATH at it). Every key is optional; omitted keys use the
# defaults shown in the comments.
#
# Secrets stay in env: OPENROUTER_API_KEY enables the hybrid backend.
#
# The local model catalog (which models exist, vision, context size) is NOT
# listed here. It is discovered from llama-swap's /v1/models, using each
# model's `metadata:` block in llama-swap/config.yaml (kind/vision/ctx/dim).
#
# The old env vars (LLAMA_SWAP_*, OLLAMA_*, OPENROUTER_* except the key,
# EMBED_*, EMBEDDING_DIM, AGENTIC_*, LLM_BACKEND, UNIFIED_SEARCH_MODEL) still
# work for now and OVERRIDE this file, with a deprecation warning at startup.

# Local stack for chat, vision describe and embeddings: "ollama" | "llamacpp".
# Global on purpose: don't flip it without re-embedding (mixed vector spaces
# break similarity search).
backend = "llamacpp"

# Small model pinned for /photos/search/unified query translation, so it can
# stay loaded alongside CLIP. Unset = the client's selected model.
unified_search_model = "gemma4-e4b"

[llamacpp]
url = "http://localhost:9292/v1"      # unset = llama.cpp client + TTS disabled
chat = "qwen3.8-27b-abliterated"      # default chat model (default "chat")
vision = "qwen3.8-27b-code-vision"    # describe_photo model (default: chat)
timeout_secs = 180

# The picker shows every llama-swap model with `kind: chat` metadata (param
# aliases like `:sub` / `:fast` are always hidden), minus `exclude`.
# `include`, if set, is a strict allowlist instead.
[llamacpp.picker]
exclude = ["nemotron3.5-lightning-30b-A3B"]
# include = ["qwen3.8-27b-code", "gemma4-31"]

[embedding]
# Must all agree with what the stored corpus was embedded with. Changing any
# of them means `cargo run --bin reembed_embeddings`.
model = "embed"                        # llama-swap id (Ollama always uses nomic-embed-text:v1.5)
dim = 768                              # 768 nomic v1.5 | 1024 Qwen3-Embedding-0.6B
query_prefix = "search_query: "        # Qwen3: "Instruct: <task>\nQuery: "
document_prefix = "search_document: "  # Qwen3: ""

[tts]
# Chatterbox behind llama-swap; needs llamacpp.url but not backend = "llamacpp".
model = "chatterbox"
voice = "m"            # default voice when a request omits one (unset = server default)
ref_seconds = 30       # max voice-clone reference clip length
timeout_secs = 600     # long chunked text takes minutes

[ollama]
primary_url = "http://localhost:11434"
primary_model = "nemotron-3-nano:30b"
# Tried on connection failure. fallback_model unset = reuse primary_model.
# fallback_url = "http://server:11434"
# fallback_model = "llama3.2:3b"
timeout_secs = 120

[openrouter]
default_model = "anthropic/claude-sonnet-4"
allowed = ["openai/gpt-4o-mini", "anthropic/claude-haiku-4-5", "google/gemini-2.5-flash"]
max_tokens = 16384     # 0 = uncapped (OpenRouter reserves credit against it)
# base_url = "https://openrouter.ai/api/v1"
# embedding_model = "openai/text-embedding-3-small"
# http_referer = "https://your-site.example"
# app_title = "ImageApi"

[agentic]
max_iterations = 12          # tool-loop cap for agentic insight generation
chat_max_iterations = 6      # per chat turn; per-request values are clamped to it
chat_default_num_ctx = 32768 # assumed window when neither request nor backend reports one
chat_turn_timeout_secs = 300 # reconnectable chat turns are dropped after this