Add custom per-token pricing (model_info) so spend and budget enforcement work

config.yaml

@@ -4,6 +4,13 @@
 # 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)
@@ -12,6 +19,10 @@ model_list:
       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
@@ -19,6 +30,9 @@ model_list:
       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
@@ -26,6 +40,10 @@ model_list:
       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
 
 # Fallback: if DeepSeek is down, use GPT-OSS
 router_settings: