deploy: switch to chatterbox requirements @ 8969a8b

tools_api/scene_writer.py

@@ -9,16 +9,23 @@ the endpoint errors and the frontend falls back to its offline template engine.
 """
 from __future__ import annotations
 
+import json
 import os
+import urllib.request
 
-from steps.lang._shared import MODEL, bedrock_converse, build_client, log_llm_call
+from steps.lang._shared import bedrock_converse, log_llm_call
 
-# Bedrock model for scene drafting. Defaults to qwen.qwen3-next-80b-a3b — the
-# same model the backend's translation step uses, so it's known-good on this
-# account (works with Converse, no inference-profile requirement). Override via
-# env SCENE_BEDROCK_MODEL.
+# Bedrock model for scene drafting. Override via env SCENE_BEDROCK_MODEL — if
+# Bedrock returns "Operation not allowed", the model needs a cross-region
+# inference profile id (e.g. "us.amazon.nova-micro-v1:0").
 SCENE_MODEL = os.getenv("SCENE_BEDROCK_MODEL", "qwen.qwen3-next-80b-a3b")
 
+# Pollinations fallback uses the keyless anonymous text endpoint. The keyed
+# gen.pollinations.ai route (build_client) blocks the Space's requests; the
+# anonymous text route stays open. Override the model via env POLLEN_TEXT_MODEL.
+POLLEN_TEXT_URL = "https://text.pollinations.ai/openai"
+POLLEN_TEXT_MODEL = os.getenv("POLLEN_TEXT_MODEL", "openai")
+
 _TEMPERATURE = 0.8
 
 _SYSTEM_PROMPT = """You are a scriptwriter for DramaBox, a text-to-speech engine that performs short, emotionally directed monologues.
@@ -75,21 +82,28 @@ def _bedrock_scene(user_prompt: str) -> str:
 
 
 def _pollinations_scene(user_prompt: str) -> str:
-    """Fallback provider — Pollinations (OpenAI-compatible, see _shared.py)."""
-    client = build_client()
-    response = client.chat.completions.create(
-        model=MODEL,
-        messages=[
+    """Fallback provider — Pollinations' keyless anonymous text endpoint."""
+    payload = json.dumps({
+        "model": POLLEN_TEXT_MODEL,
+        "temperature": _TEMPERATURE,
+        "messages": [
             {"role": "system", "content": _SYSTEM_PROMPT},
             {"role": "user", "content": user_prompt},
         ],
-        temperature=_TEMPERATURE,
+    }).encode("utf-8")
+    req = urllib.request.Request(
+        POLLEN_TEXT_URL,
+        data=payload,
+        headers={"Content-Type": "application/json"},
+        method="POST",
     )
-    raw = (response.choices[0].message.content or "").strip()
+    with urllib.request.urlopen(req, timeout=60) as resp:
+        data = json.loads(resp.read().decode("utf-8"))
+    raw = (data["choices"][0]["message"]["content"] or "").strip()
     log_llm_call(
         step="dramabox_scene",
-        provider="pollinations",
-        model=MODEL,
+        provider="pollinations-text",
+        model=POLLEN_TEXT_MODEL,
         system_prompt=_SYSTEM_PROMPT,
         user_prompt=user_prompt,
         response=raw,