Video and music modality models are billed per generation rather than
per token. Without this field the librefang runtime metering layer
records every call as $0 and emits a warning. Sourced from
https://platform.minimax.io/docs/guides/pricing-paygo.
- Hailuo 2.3 Fast: $0.33 per call (1080P/6s upper bound)
- Hailuo 2.3: $0.56 per call (1080P/6s upper bound)
- Hailuo 02: $0.56 per call (1080P/6s upper bound)
- Music 2.6: $0.15 per up-to-5-minute track
- Lyrics gen: $0.01 per song
Also adds per_call_cost to schema.toml so the field is documented
alongside the other cost fields.
Extend modality enum to support video and music, then register the
non-text MiniMax models that were already declared in
media_capabilities but had no concrete entries:
- image-01 ($0.0035/image)
- speech-2.8/2.6 hd & turbo ($60-$100 per 1M chars)
- Hailuo 2.3 Fast / 2.3 / 02 video models ($0.10-$0.56 per video)
- music-2.6, lyrics_generation
Per-call pricing is documented in inline comments since the schema's
token-based cost fields don't naturally fit per-call billing.
schema.toml and scripts/validate.py both updated; the change is
additive (existing modality values remain valid).
Introduces image-generation models as a first-class [[models]] entry via
a new `modality` field on the model schema ("text" default, "image",
"audio"). When modality != "text", context_window / max_output_tokens
are optional since no conventional context gate exists — OpenAI's
gpt-image-2 docs omit them.
Adds `image_input_cost_per_m` / `image_output_cost_per_m` alongside
existing text token cost fields to cover the 4-price structure OpenAI
uses for image generation (text $5/$10, image $8/$30 per 1M tokens).
Validator updated to:
- accept any modality in {text, image, audio}
- require context_window/max_output_tokens only for modality=text
- range-check the two new cost fields
gpt-image-2 entry added to providers/openai.toml with pricing sourced
from https://developers.openai.com/api/docs/pricing. Snapshot
gpt-image-2-2026-04-21 listed as alias.
The provider creation form only collected api_key_env (the env var
name) but not the actual key value. New providers were always created
as "unconfigured" because no key was stored.
Add an optional secret api_key field so the dashboard can pass the
key value during creation. The backend strips it from the TOML and
saves it to secrets.env instead.
* feat: convert schema.toml to machine-parseable format
Replace comment-based documentation format with structured TOML that
can be deserialized into the RegistrySchema Rust type. All 6 content
types (provider, agent, hand, integration, skill, plugin) preserved
with every field, description, enum option, and nested section.
* fix: format options arrays in schema.toml for taplo compliance
* chore: remove router agent
builtin:router has been replaced by LLM intent routing in the kernel.
Assistant is now the sole entry point — see librefang/librefang#1336.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* style: format all TOML files with taplo
Fix CI taplo format check by running `taplo fmt` on all 132 TOML files.
---------
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Community-maintained TOML catalog for LibreFang. New models can be added
via PR without requiring a LibreFang binary release.
Includes validation script, bilingual docs, and GitHub templates.
Evan