220 lines
9.1 KiB
YAML
220 lines
9.1 KiB
YAML
# LiteLLM config for inference.coop
|
|
# PRODUCTION config: Tinfoil (TEE-protected inference)
|
|
# LiteLLM talks plaintext OpenAI to a local Tinfoil proxy (127.0.0.1:3301),
|
|
# which verifies the enclave attestation and encrypts request/response bodies
|
|
# with EHBP (HPKE) before forwarding to the Tinfoil enclave. Provider key set
|
|
# via environment variable TINFOIL_API_KEY.
|
|
#
|
|
# Pricing (model_info) is per-token, derived from provider per-1M rates:
|
|
# greenpt/deepseek-v4.1-flash: $0.22 in / $1.10 out / $0.011 cached per 1M
|
|
# tinfoil/deepseek-v4-1-flash: $0.65 in / $1.45 out / $0.13 cached per 1M
|
|
# tinfoil/gpt-oss-120b: $0.15 in / $0.60 out per 1M
|
|
# tinfoil/glm-5.3: $1.80 in / $5.75 out / $0.45 cached per 1M
|
|
# Without these, LiteLLM can't price these custom models, so spend shows $0.00
|
|
# and the team budget cap is not enforced.
|
|
#
|
|
# SYNC: the per-model pricing here must mirror the user-facing model list in
|
|
# co-op/docs/models.md (and vice-versa). When a rate changes, update BOTH this
|
|
# file and models.md — this config is the authoritative source of the numbers;
|
|
# models.md is the member-facing mirror.
|
|
|
|
model_list:
|
|
# DeepSeek V4.1 Flash on GreenPT — DEFAULT model. Same model family as Tinfoil's
|
|
# deepseek-v4-1-flash, but on renewable energy and NOT marked Experimental by the
|
|
# provider (Tinfoil's deepseek + glm-flash carry an "Experimental: may be deprecated
|
|
# with minimal notice" flag). Policy-based privacy (GreenPT) vs TEE (Tinfoil).
|
|
# €0.22 in / €1.10 out / €0.011 cached per 1M.
|
|
- model_name: greenpt/deepseek-v4.1-flash
|
|
litellm_params:
|
|
model: openai/deepseek-v4.1-flash
|
|
api_base: https://api.greenpt.ai/v1
|
|
api_key: os.environ/GREENPT_API_KEY
|
|
model_info:
|
|
input_cost_per_token: 0.00000022
|
|
output_cost_per_token: 0.00000110
|
|
cache_read_input_token_cost: 0.000000011
|
|
|
|
# DeepSeek V4.1 Flash on Tinfoil (TEE) — private counterpart to the default.
|
|
- model_name: tinfoil/deepseek-v4-1-flash
|
|
litellm_params:
|
|
model: openai/deepseek-v4-1-flash
|
|
api_base: http://127.0.0.1:3301/v1
|
|
api_key: os.environ/TINFOIL_API_KEY
|
|
model_info:
|
|
input_cost_per_token: 0.00000065
|
|
output_cost_per_token: 0.00000145
|
|
cache_read_input_token_cost: 0.00000013
|
|
|
|
# GPT-OSS 120B — lightweight fallback
|
|
- model_name: tinfoil/gpt-oss-120b
|
|
litellm_params:
|
|
model: openai/gpt-oss-120b
|
|
api_base: http://127.0.0.1:3301/v1
|
|
api_key: os.environ/TINFOIL_API_KEY
|
|
model_info:
|
|
input_cost_per_token: 0.00000015
|
|
output_cost_per_token: 0.00000060
|
|
|
|
# GLM-5.3 (full flagship) on Tinfoil (TEE) — replaced tinfoil/glm-5-3-flash
|
|
# (Tinfoil deprecated the flash variant 2026-10-09). $1.80 in / $5.75 out /
|
|
# $0.45 cached per 1M. Text-only (no vision), reasoning + tool calling.
|
|
- model_name: tinfoil/glm-5.3
|
|
litellm_params:
|
|
model: openai/glm-5-3
|
|
api_base: http://127.0.0.1:3301/v1
|
|
api_key: os.environ/TINFOIL_API_KEY
|
|
model_info:
|
|
input_cost_per_token: 0.0000018
|
|
output_cost_per_token: 0.00000575
|
|
cache_read_input_token_cost: 0.00000045
|
|
|
|
# --- GreenPT (renewable energy) ---
|
|
# OpenAI-compatible, EU-hosted on 100% renewable energy. No TEE proxy needed —
|
|
# LiteLLM talks to GreenPT directly.
|
|
# (Removed 2026-10: green-l/green-r — GreenPT now marks them "not recommended".)
|
|
|
|
# GLM-5.3 Flash on GreenPT (note the dotted slug — distinct from Tinfoil's
|
|
# glm-5-3-flash). $0.11 in / $0.44 out / $0.022 cached per 1M.
|
|
- model_name: greenpt/glm-5.3-flash
|
|
litellm_params:
|
|
model: openai/glm-5.3-flash
|
|
api_base: https://api.greenpt.ai/v1
|
|
api_key: os.environ/GREENPT_API_KEY
|
|
model_info:
|
|
input_cost_per_token: 0.00000011
|
|
output_cost_per_token: 0.00000044
|
|
cache_read_input_token_cost: 0.000000022
|
|
|
|
# GLM-5.3 (full flagship) on GreenPT — strongest agentic model in the green
|
|
# tier. $1.10 in / $4.40 out per 1M, 1M context.
|
|
- model_name: greenpt/glm-5.3
|
|
litellm_params:
|
|
model: openai/glm-5.3
|
|
api_base: https://api.greenpt.ai/v1
|
|
api_key: os.environ/GREENPT_API_KEY
|
|
model_info:
|
|
input_cost_per_token: 0.0000011
|
|
output_cost_per_token: 0.0000044
|
|
cache_read_input_token_cost: 0.000000275
|
|
|
|
# --- Audio models (Tinfoil, inside the TEE) ---
|
|
# NOT chat models: these power /v1/audio/* routes (STT for dictation, TTS for
|
|
# voice mode). They stay VISIBLE in the API model list so developer members
|
|
# can call them, but the portal filters them out of the chat-facing list
|
|
# (Open WebUI) by their `mode` field, so they never appear as pickable chat
|
|
# options. Pricing per Tinfoil catalog: whisper $0.05/1M in; voxtral-tts
|
|
# listed $0/$0 (verify on invoice — may be beta-free).
|
|
|
|
# --- Regolo (EU, zero data retention, 100% renewables) ---
|
|
# Seeweb S.r.l. (Italy). Added 2026-10-16 following member suggestion (#22).
|
|
# apertus-70b: replaced PublicAI (removed 2026-10-16) as our Apertus provider —
|
|
# same open-weights model, ~45% cheaper input, EU ZDR + renewables.
|
|
# qwen3.5-122b: large vision+reasoning MoE (262K ctx). REQUIRES
|
|
# chat_template_kwargs: {enable_thinking: false} — otherwise the reasoning
|
|
# phase consumes the entire token budget and content comes back empty.
|
|
# Qwen-Image: image generation via /v1/images/generations, billed per pixel.
|
|
- model_name: regolo/apertus-70b
|
|
litellm_params:
|
|
model: openai/apertus-70b
|
|
api_base: https://api.regolo.ai/v1
|
|
api_key: os.environ/REGOLO_API_KEY
|
|
model_info:
|
|
mode: chat
|
|
input_cost_per_token: 4.6e-7
|
|
output_cost_per_token: 2.44e-6
|
|
|
|
- model_name: regolo/qwen3.5-122b
|
|
litellm_params:
|
|
model: openai/qwen3.5-122b
|
|
api_base: https://api.regolo.ai/v1
|
|
api_key: os.environ/REGOLO_API_KEY
|
|
chat_template_kwargs: {"enable_thinking": false}
|
|
model_info:
|
|
mode: chat
|
|
input_cost_per_token: 1.16e-6
|
|
output_cost_per_token: 4.87e-6
|
|
|
|
- model_name: regolo/qwen-image
|
|
litellm_params:
|
|
model: openai/Qwen-Image
|
|
api_base: https://api.regolo.ai/v1
|
|
api_key: os.environ/REGOLO_API_KEY
|
|
model_info:
|
|
mode: image_generation
|
|
input_cost_per_pixel: 1.5e-8
|
|
|
|
# --- Audio models (Tinfoil, in-TEE) ---
|
|
# Used for chat dictation (STT) and voice mode (TTS). These are NOT chat
|
|
# models: the member portal's /v1/models filters them out of the chat model
|
|
# list (see AUDIO_MODEL_PREFIXES there) so members don't see them in the
|
|
# picker, but they remain fully callable via /v1/audio/* for API users.
|
|
# whisper-large-v3-turbo: $0.05/1M input tokens. voxtral-tts: listed $0/$0.
|
|
# NOTE: LiteLLM routes audio by the openai/ provider + the endpoint called
|
|
# (/v1/audio/transcriptions or /v1/audio/speech) — there is no
|
|
# "audio_transcription/" provider prefix.
|
|
- model_name: tinfoil/whisper-large-v3-turbo
|
|
litellm_params:
|
|
model: openai/whisper-large-v3-turbo
|
|
api_base: http://127.0.0.1:3301/v1
|
|
api_key: os.environ/TINFOIL_API_KEY
|
|
model_info:
|
|
mode: audio_transcription
|
|
input_cost_per_token: 0.00000005
|
|
|
|
- model_name: tinfoil/voxtral-tts
|
|
litellm_params:
|
|
model: openai/voxtral-tts
|
|
api_base: http://127.0.0.1:3301/v1
|
|
api_key: os.environ/TINFOIL_API_KEY
|
|
model_info:
|
|
mode: audio_speech
|
|
|
|
# --- Embedding model (Tinfoil, in-TEE) ---
|
|
# nomic-embed-text — 768-dim text embeddings for RAG/semantic search.
|
|
# NOT a chat model: it powers /v1/embeddings only. Scoped to the admin
|
|
# account's team (model_info.team_id) so member keys cannot call it — it is
|
|
# an operator resource for the co-op's own docs-RAG, not a member-facing
|
|
# model. The portal also filters it out of the chat-facing /v1/models list by
|
|
# its `mode: embedding`. Pricing per Tinfoil catalog: $0.05/1M input, $0 out.
|
|
- model_name: tinfoil/nomic-embed-text
|
|
litellm_params:
|
|
model: openai/nomic-embed-text
|
|
api_base: http://127.0.0.1:3301/v1
|
|
api_key: os.environ/TINFOIL_API_KEY
|
|
model_info:
|
|
mode: embedding
|
|
team_id: cdfdf422-633f-4432-8893-cffee82a8325
|
|
input_cost_per_token: 0.00000005
|
|
output_cost_per_token: 0.0
|
|
|
|
# Fallback: if DeepSeek is down, use GPT-OSS
|
|
# NOTE: DeepSeek V4.1 Flash is a reasoning model — generations routinely run
|
|
# longer than 30s. A 30s timeout caused LiteLLM to abandon in-flight DeepSeek
|
|
# requests (falling back to GPT-OSS), while Tinfoil still completed and billed
|
|
# the abandoned generation. Result: Tinfoil billed ~2x the tokens LiteLLM logged.
|
|
# Fix: a generous timeout (180s) so generations complete inside LiteLLM and get
|
|
# logged; and a retry_policy that retries transient connection errors (base
|
|
# num_retries) but NEVER retries timeouts (TimeoutErrorRetries: 0) — a timed-out
|
|
# generation is already billed by Tinfoil, so re-hitting it re-bills.
|
|
router_settings:
|
|
num_retries: 2
|
|
timeout: 180
|
|
retry_policy:
|
|
TimeoutErrorRetries: 0
|
|
fallbacks:
|
|
- greenpt/deepseek-v4.1-flash:
|
|
- tinfoil/deepseek-v4-1-flash
|
|
- tinfoil/deepseek-v4-1-flash:
|
|
- tinfoil/gpt-oss-120b
|
|
|
|
general_settings:
|
|
master_key: os.environ/LITELLM_MASTER_KEY
|
|
database_url: os.environ/DATABASE_URL
|
|
store_model_in_db: true
|
|
|
|
litellm_settings:
|
|
salt_key: os.environ/LITELLM_SALT_KEY
|
|
drop_params: true
|
|
num_threads: 4
|
|
request_timeout: 180
|