Commit Graph
24 Commits
Author SHA1 Message Date
Ubuntu 425d738625 gateway: bill Tinfoil's per-request charges on the audio paths
Tinfoil bills voxtral-tts $0.002 and whisper-large-v3-turbo $0.01 per REQUEST,
with $0 per token for both. Reading only the two token prices in its model list
made TTS look free and left STT billed at an older catalog's $0.05/1M tokens, so
neither matched what the co-op actually pays.

LiteLLM cannot express a per-request charge on the audio paths: per-request
pricing exists only on the search/rerank/MCP paths via input_cost_per_query, and
input_cost_per_request is read only by the proxy's cost-tracking settings, never
by the model cost calculator.

So patch_audio_request_cost.py, a build-time patch in the same shape as
patch_image_cost.py, makes response_cost_calculator honour a declared
input_cost_per_request. That function is the single funnel for every call type —
the proxy dispatches audio as `aspeech` and `transcription` and reaches it
through Logging._response_cost_calculator — so one insertion covers both. The
charge resolves from the per-deployment custom_pricing the logging layer builds
from our model_info, then the shared cost map, then call metadata, and the patch
is inert for any model that declares nothing.

config.yaml declares the real charges: $0.002/request for voxtral-tts, and
$0.01/request for whisper with its token price corrected to $0.

Verified before committing: the patch applies to the installed 1.103.2 anchors
and compiles; the helper's resolution order passes unit checks (all branches,
plus inert and garbage cases); the resulting config validates as YAML with all
12 entries intact. End-to-end spend is proven after deploy by a real TTS/STT call.

Refs code/litellm#5
2026-10-26 20:45:06 +00:00
Inferencebot 9d95527e93 Remove PublicAI provider (billing never operational; Regolo replaces it for Apertus) 2026-10-16 10:46:04 -06:00
Inferencebot ad34da72a4 Add Regolo provider: apertus-70b, qwen3.5-122b (thinking off), qwen-image + Apertus fallback chain 2026-10-16 10:10:45 -06:00
Inferencebot 3397d07ec1 Replace tinfoil/glm-5-3-flash (deprecated 2026-10-09) with tinfoil/glm-5.3 flagship 2026-10-07 22:07:40 -06:00
Inferencebot cc8f7d237a Add tinfoil/nomic-embed-text embedding model (admin-team scoped, for co-op docs RAG) 2026-10-07 09:44:12 -06:00
Inferencebot 1f2c330762 greenpt/glm-5.3: add cache-read price (0.275/1M per GreenPT pricing API) — member PR follow-up 2026-10-05 08:40:13 -06:00
Inferencebot a0ae99329f Add greenpt/deepseek-v4.1-flash as default (renewable, not Experimental); fallback → tinfoil deepseek 2026-10-02 22:15:44 -06:00
Inferencebot 516167aaf9 Remove green-l/green-r models (GreenPT marks them not recommended) 2026-10-02 22:04:47 -06:00
Inferencebot b6e8542146 config: remove duplicate broken audio-model entries (audio_transcription//audio_speech/ prefixes); keep the correct openai/ routing 2026-10-02 15:39:07 -06:00
inference-bot 8f42be988e Add Tinfoil audio models (whisper STT, voxtral-tts) for voice mode + API use 2026-09-27 11:10:51 -06:00
inference-bot 5ea2256776 Add greenpt/glm-5.3 (full flagship, $1.10/$4.40 per 1M) 2026-09-26 16:52:21 -06:00
inference-bot 057507d67c Add PublicAI Apertus models (publicai/apertus-v1.5-8b, -70b) 2026-09-25 15:56:08 -06:00
inference-bot 2369c3e848 Add greenpt/glm-5.3-flash (/usr/bin/bash.11//usr/bin/bash.44 per 1M) 2026-09-24 10:43:14 -06:00
inference-bot f86e005062 Rename Tinfoil models to tinfoil/* provider prefix 2026-09-24 08:16:16 -06:00
inference-bot 67192de232 Document pricing sync with co-op/docs/models.md 2026-09-23 21:08:33 -06:00
inference-bot 09ee36014c Add GreenPT models (greenpt/green-r, greenpt/green-l) via provider/model naming convention 2026-09-23 20:10:18 -06:00
inference-bot d1f57c45d5 Retry connection errors but never re-bill timeouts
num_retries=2 (retries transient connection errors), retry_policy with
TimeoutErrorRetries=0 (a timed-out generation is already billed by Tinfoil, so
re-hitting it re-bills). Combined with timeout=180, this hedges connection
errors without the silent re-billing that caused the Tinfoil spend gap.
2026-09-22 18:18:07 -06:00
inference-bot 576885ed21 Fix Tinfoil spend gap: raise timeout 30->180s, num_retries 2->0
DeepSeek V4.1 Flash is a reasoning model; 30s timeout caused LiteLLM to
abandon in-flight generations (falling back to GPT-OSS) while Tinfoil still
completed and billed them. num_retries re-hit Tinfoil up to 3x. Result: Tinfoil
billed ~2x the tokens LiteLLM logged. Generous timeout + zero retries stops
the silent re-billing.
2026-09-22 18:05:27 -06:00
inference-bot 700154c3d4 Add custom per-token pricing (model_info) so spend and budget enforcement work 2026-09-14 14:28:13 -06:00
inference-bot da50b0438f Replace deprecated deepseek-v4-flash with deepseek-v4-1-flash (default + fallback) 2026-09-14 14:06:23 -06:00
inference-bot 878ab8fa8d Add GLM-5.3 Flash model 2026-09-09 14:18:14 -06:00
inference-bot e05fec0ca8 Switch to Tinfoil (TEE): add tinfoil-proxy sidecar for EHBP encryption, point LiteLLM at local proxy 2026-09-09 13:21:01 -06:00
inference-bot 2ce5c66b9b Switch to Ollama Cloud (OpenAI-compatible /v1 endpoint) for plumbing smoke test 2026-09-04 14:15:49 -06:00
inference-bot b9b4620e52 Initial commit: LiteLLM Cloudron app package for Inference Cooperative 2026-09-03 21:55:54 -06:00