gateway: add tinfoil/voxtral-small-24b, Tinfoil's token-priced STT model

Tinfoil's catalog prices exactly one audio model per token: voxtral-small-24b
($0.20 in / $0.60 out per 1M, $0 per request). Wiring it gives members an
STT route without the whisper $0.01/request floor (co-op/support#48).

Two billing shapes on one model entry:
- chat route (input_audio): returns real token usage -> bills exactly per token.
- /v1/audio/transcriptions: Tinfoil returns NO token counts (duration only),
  so per-token billing cannot fire; Tinfoil also tokenizes audio in ~30s
  chunks (~375-380 tokens each regardless of clip length), making the
  chunk-equivalent ~$0.00008/request. Declared input_cost_per_request with
  that measured value, added by patch_audio_request_cost.py.

patch_audio_request_cost.py: scope the per-request charge to the audio call
types (transcription/atranscription/speech/aspeech) so this model's chat
calls bill per token and are not double-billed; extend the diagnostic
name-gate to 'voxtral'.

Measured on the live catalog + sidecar 2026-11-06 (see issue #48 follow-up).

config.yaml

@@ -11,6 +11,8 @@
 #   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
 #   greenpt/qwen3-embedding-8b:  $0.25 in / $0 out per 1M (embeddings, 32K ctx)
+#   tinfoil/voxtral-small-24b:   $0.20 in / $0.60 out per 1M (token-priced audio;
+#                                +$0.00008/request on /v1/audio/transcriptions)
 # Without these, LiteLLM can't price these custom models, so spend shows $0.00
 # and the team budget cap is not enforced.
 #
@@ -151,6 +153,8 @@ model_list:
   # picker, but they remain fully callable via /v1/audio/* for API users.
   # whisper-large-v3-turbo: $0/1M tokens + $0.01 per request.
   # voxtral-tts: $0/1M tokens + $0.002 per request.
+  # voxtral-small-24b: $0.20/1M in + $0.60/1M out tokens, $0 per request —
+  #   the only TOKEN-PRICED audio model in their catalog (its block below).
   # Tinfoil bills these per REQUEST (its model list carries a `requestPrice`);
   # reading only the two token prices made TTS look free and left STT billed off
   # an older catalog. LiteLLM cannot price per request on the audio paths, so
@@ -172,6 +176,29 @@ model_list:
       input_cost_per_token: 0
       input_cost_per_request: 0.01
 
+  # voxtral-small-24b — Tinfoil's TOKEN-PRICED STT model: the only audio entry
+  # in their catalog with real token prices ($0.20 in / $0.60 out per 1M, $0
+  # per request). The chat route (audio sent as input_audio) returns real
+  # token usage and bills exactly at those rates. The /v1/audio/transcriptions
+  # route returns NO token counts (duration only), so per-token billing cannot
+  # fire there; Tinfoil tokenizes audio in ~30s chunks (~375-380 tokens each —
+  # measured: a 1-second clip and a 6-second clip both cost ~380 prompt
+  # tokens), so for the short dictation requests this route serves the
+  # chunk-equivalent is ~$0.00008/request — declared as input_cost_per_request
+  # below, added by patch_audio_request_cost.py, which is scoped to the audio
+  # call types so chat calls to this model are NOT double-billed. Audio longer
+  # than ~30s should go through the chat route, which meters exactly.
+  - model_name: tinfoil/voxtral-small-24b
+    litellm_params:
+      model: openai/voxtral-small-24b
+      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: 0.0000002
+      output_cost_per_token: 0.0000006
+      input_cost_per_request: 0.00008
+
   - model_name: tinfoil/voxtral-tts
     litellm_params:
       model: openai/voxtral-tts

patch_audio_request_cost.py

@@ -27,7 +27,13 @@ from the per-deployment ``custom_pricing`` the logging layer builds out of our
 call metadata.
 
 Scope: nothing changes unless a model declares ``input_cost_per_request``, so
-this is inert for every other model on the gateway.
+this is inert for every other model on the gateway. Since 2026-11-06 the charge
+is added only on the AUDIO call types (transcription/atranscription/speech/
+aspeech): a model that also carries per-token pricing (``voxtral-small-24b``)
+bills its chat calls exactly per token, and a per-request charge on top of
+that would double-bill them. The audio endpoints are the paths that cannot
+price per token (the provider returns no token counts there), so the flat
+charge belongs to them alone.
 
 Upstream: no issue filed; LiteLLM has no per-request audio pricing as of 1.103.2.
 """
@@ -58,7 +64,9 @@ HELPER = '''def _coop_per_request_cost(
     """
     def _is_audio(name: Any) -> bool:
         text = str(name or "").lower()
-        return "tts" in text or "whisper" in text
+        return (
+            "tts" in text or "whisper" in text or "voxtral" in text
+        )
 
     cost_map = {}
     try:
@@ -140,17 +148,34 @@ PATCHED_RETURN = """                region_name=region_name,
         # per-request charge for models LiteLLM can only price per unit
         # (Tinfoil's voxtral-tts, whisper-large-v3-turbo). Inert when the model
         # declares nothing; the early "provider reported the cost" return above
-        # is unaffected.
+        # is unaffected. Scoped to the AUDIO call types (2026-11-06): a model
+        # that ALSO carries per-token pricing (voxtral-small-24b) bills its
+        # chat calls exactly per token and must not take the per-request
+        # charge on top of that.
         try:
-            _coop_pr = _coop_per_request_cost(
+            _coop_audio_call = call_type in (
+                "transcription",
+                "atranscription",
+                "speech",
+                "aspeech",
+            )
+            _coop_pr = (
+                _coop_per_request_cost(
                     model=model,
                     litellm_model_name=litellm_model_name,
                     custom_pricing=custom_pricing,
                     litellm_logging_obj=litellm_logging_obj,
                 )
+                if _coop_audio_call
+                else 0.0
+            )
             response_cost = (response_cost or 0.0) + _coop_pr
             _coop_name = str(model or "") + str(litellm_model_name or "")
-            if "tts" in _coop_name.lower() or "whisper" in _coop_name.lower():
+            if _coop_audio_call and (
+                "tts" in _coop_name.lower()
+                or "whisper" in _coop_name.lower()
+                or "voxtral" in _coop_name.lower()
+            ):
                 print(
                     f"[coop-audio] add per_request={_coop_pr!r} -> response_cost={response_cost!r}",
                     flush=True,