docs: mark each key's default in llm.example.toml; gitignore llm.toml

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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Cameron CordesandClaude Opus 5.5 committed 2026-10-26 20:38:54 -04:00
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# 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.
# LLM_CONFIG_PATH at it). Every key is optional: delete any line to get its
# default. The values below are an example llama-swap setup, not the
# defaults; each key's default is in its trailing `default:` comment.
#
# Secrets stay in env: OPENROUTER_API_KEY enables the hybrid backend.
#
@@ -15,61 +16,61 @@
# 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"
backend = "llamacpp" # default: "ollama"
# 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"
# stay loaded alongside CLIP.
unified_search_model = "gemma4-e4b" # default: unset (the client's selected model)
[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
url = "http://localhost:9292/v1" # default: unset (llama.cpp client + TTS disabled)
chat = "qwen3.8-27b-abliterated" # default: "chat"
vision = "qwen3.8-27b-code-vision" # default: unset (uses `chat`); describe_photo model
timeout_secs = 180 # default: 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"]
exclude = ["nemotron3.5-lightning-30b-A3B"] # default: []
# include = ["qwen3.8-27b-code", "gemma4-31"] # default: unset (show everything)
[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
# Prefixes default to empty. Set them only together with a re-embed; a
# corpus embedded without them won't match queries embedded with them.
query_prefix = "" # nomic v1.5: "search_query: " | Qwen3: "Instruct: <task>\nQuery: "
document_prefix = "" # nomic v1.5: "search_document: " | Qwen3: ""
model = "embed" # default: "embed" (llama-swap id; Ollama always uses nomic-embed-text:v1.5)
dim = 768 # default: 768 (nomic v1.5) | 1024 for Qwen3-Embedding-0.6B
# Set prefixes only together with a re-embed; a corpus embedded without them
# won't match queries embedded with them.
query_prefix = "" # default: "" | nomic v1.5: "search_query: " | Qwen3: "Instruct: <task>\nQuery: "
document_prefix = "" # default: "" | nomic v1.5: "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
model = "chatterbox" # default: "chatterbox"
voice = "m" # default: unset (server default); used when a request omits one
ref_seconds = 30 # default: 30; max voice-clone reference clip length
timeout_secs = 600 # default: 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
primary_url = "http://localhost:11434" # default: "http://localhost:11434"
primary_model = "nemotron-3-nano:30b" # default: "nemotron-3-nano:30b"
# Tried on connection failure.
# fallback_url = "http://server:11434" # default: unset (no fallback)
# fallback_model = "llama3.2:3b" # default: unset (reuse primary_model)
timeout_secs = 120 # default: 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"
default_model = "anthropic/claude-sonnet-4" # default: "anthropic/claude-sonnet-4"
allowed = ["openai/gpt-4o-mini", "anthropic/claude-haiku-4-5", "google/gemini-2.5-flash"] # default: []
max_tokens = 16384 # default: 16384; 0 = uncapped (OpenRouter reserves credit against it)
# base_url = "https://openrouter.ai/api/v1" # default: unset (OpenRouter's public API)
# embedding_model = "openai/text-embedding-3-small" # default: unset
# http_referer = "https://your-site.example" # default: unset
# app_title = "ImageApi" # default: unset
[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
max_iterations = 12 # default: 12; tool-loop cap for agentic insight generation
chat_max_iterations = 6 # default: 6; per chat turn, per-request values are clamped to it
chat_default_num_ctx = 32768 # default: 32768; assumed window when neither request nor backend reports one
chat_turn_timeout_secs = 300 # default: 300; reconnectable chat turns are dropped after this