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litellm/config.yaml
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# 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 Tinfoil's per-1M rates:
# deepseek-v4-1-flash: $0.65 in / $1.45 out / $0.13 cached per 1M
# gpt-oss-120b: $0.15 in / $0.60 out per 1M
# glm-5-3-flash: $0.40 in / $1.25 out / $0.10 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.
model_list:
# DeepSeek V4.1 Flash — default model (replaces V4 Flash, deprecated 2026-09-15)
- model_name: 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: 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 Flash — fast, efficient MoE model
- model_name: glm-5-3-flash
litellm_params:
model: openai/glm-5-3-flash
api_base: http://127.0.0.1:3301/v1
api_key: os.environ/TINFOIL_API_KEY
model_info:
input_cost_per_token: 0.00000040
output_cost_per_token: 0.00000125
cache_read_input_token_cost: 0.00000010
# --- GreenPT (renewable energy) ---
# OpenAI-compatible, EU-hosted on 100% renewable energy. No TEE proxy needed —
# LiteLLM talks to GreenPT directly. Pricing from GreenPT /v1/pricing endpoint.
# green-r: $0.35 in / $0.95 out per 1M (128k ctx)
# green-l: $0.25 in / $0.80 out per 1M (128k ctx)
- model_name: greenpt/green-r
litellm_params:
model: openai/green-r
api_base: https://api.greenpt.ai/v1
api_key: os.environ/GREENPT_API_KEY
model_info:
input_cost_per_token: 0.00000035
output_cost_per_token: 0.00000095
- model_name: greenpt/green-l
litellm_params:
model: openai/green-l
api_base: https://api.greenpt.ai/v1
api_key: os.environ/GREENPT_API_KEY
model_info:
input_cost_per_token: 0.00000025
output_cost_per_token: 0.00000080
# 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:
- deepseek-v4-1-flash:
- 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