Agora você pode testar os recursos do STUDIO AI AU

ai/local_ai_api.py

@@ -1,35 +1,5 @@
 """
 LocalAIApi — lightweight Python client for the Flatlogic AI proxy.
-
-Usage (inside the Django workspace):
-
-    from ai.local_ai_api import LocalAIApi
-
-    response = LocalAIApi.create_response({
-        "input": [
-            {"role": "system", "content": "You are a helpful assistant."},
-            {"role": "user", "content": "Summarise this text in two sentences."},
-        ],
-        "text": {"format": {"type": "json_object"}},
-    })
-
-    if response.get("success"):
-        data = LocalAIApi.decode_json_from_response(response)
-        # ...
-
-# Typical successful payload (truncated):
-# {
-#   "id": "resp_xxx",
-#   "status": "completed",
-#   "output": [
-#     {"type": "reasoning", "summary": []},
-#     {"type": "message", "content": [{"type": "output_text", "text": "Your final answer here."}]}
-#   ],
-#   "usage": { "input_tokens": 123, "output_tokens": 456 }
-# }
-
-The helper automatically injects the project UUID header and falls back to
-reading executor/.env if environment variables are missing.
 """
 
 from __future__ import annotations
@@ -145,6 +115,7 @@ def request(path: Optional[str], payload: Dict[str, Any], options: Optional[Dict
         "Content-Type": "application/json",
         "Accept": "application/json",
         cfg["project_header"]: project_uuid,
+        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36",
     }
     extra_headers = options.get("headers")
     if isinstance(extra_headers, Iterable):
@@ -180,6 +151,7 @@ def fetch_status(ai_request_id: Any, options: Optional[Dict[str, Any]] = None) -
     headers: Dict[str, str] = {
         "Accept": "application/json",
         cfg["project_header"]: project_uuid,
+        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36",
     }
     extra_headers = options.get("headers")
     if isinstance(extra_headers, Iterable):
@@ -294,7 +266,6 @@ def _extract_text(response: Dict[str, Any]) -> str:
         return payload
     return ""
 
-
 def _config() -> Dict[str, Any]:
     global _CONFIG_CACHE  # noqa: PLW0603
     if _CONFIG_CACHE is not None:
@@ -314,13 +285,12 @@ def _config() -> Dict[str, Any]:
         "project_id": project_id,
         "project_uuid": os.getenv("PROJECT_UUID"),
         "project_header": os.getenv("AI_PROJECT_HEADER", "project-uuid"),
-        "default_model": os.getenv("AI_DEFAULT_MODEL", "gpt-5-mini"),
+        "default_model": os.getenv("AI_DEFAULT_MODEL", "gpt-4o-mini"),
         "timeout": int(os.getenv("AI_TIMEOUT", "30")),
         "verify_tls": os.getenv("AI_VERIFY_TLS", "true").lower() not in {"0", "false", "no"},
     }
     return _CONFIG_CACHE
 
-
 def _build_url(path: str, base_url: str) -> str:
     trimmed = path.strip()
     if trimmed.startswith("http://") or trimmed.startswith("https://"):
@@ -329,7 +299,6 @@ def _build_url(path: str, base_url: str) -> str:
         return f"{base_url}{trimmed}"
     return f"{base_url}/{trimmed}"
 
-
 def _resolve_status_path(ai_request_id: Any, cfg: Dict[str, Any]) -> str:
     base_path = (cfg.get("responses_path") or "").rstrip("/")
     if not base_path:
@@ -338,7 +307,6 @@ def _resolve_status_path(ai_request_id: Any, cfg: Dict[str, Any]) -> str:
         base_path = f"{base_path}/ai-request"
     return f"{base_path}/{ai_request_id}/status"
 
-
 def _http_request(url: str, method: str, body: Optional[bytes], headers: Dict[str, str],
                   timeout: int, verify_tls: bool) -> Dict[str, Any]:
     """
@@ -413,7 +381,7 @@ def _ensure_env_loaded() -> None:
                     continue
                 key, value = stripped.split("=", 1)
                 key = key.strip()
-                value = value.strip().strip('\'"')
+                value = value.strip().strip('"')
                 if key and not os.getenv(key):
                     os.environ[key] = value
     except OSError:

core/models.py

@@ -1,6 +1,8 @@
 from django.db import models
 from django.utils.text import slugify
 import uuid
+import random
+import string
 
 class StudioConfig(models.Model):
     """Singleton model to store studio-wide settings and the unique admin key."""
@@ -43,7 +45,16 @@ class Project(models.Model):
 
     def save(self, *args, **kwargs):
         if not self.slug:
-            self.slug = slugify(self.title)
+            base_slug = slugify(self.title)
+            if not base_slug:
+                base_slug = "project"
+            
+            unique_slug = base_slug
+            while Project.objects.filter(slug=unique_slug).exists():
+                random_string = ''.join(random.choices(string.ascii_lowercase + string.digits, k=4))
+                unique_slug = f"{base_slug}-{random_string}"
+            
+            self.slug = unique_slug
         super().save(*args, **kwargs)
 
     def __str__(self):
@@ -109,4 +120,4 @@ class CgiAsset(models.Model):
     assigned_artist = models.CharField(max_length=100, blank=True)
     
     def __str__(self):
-        return f"{self.name} ({self.get_asset_type_display()})"
+        return f"{self.name} ({self.get_asset_type_display()})"

core/views.py

@@ -80,7 +80,7 @@ def generate_production(request):
                 {"role": "system", "content": "You are an expert Hollywood Producer and AI Cinema Director."},
                 {"role": "user", "content": prompt},
             ],
-            "response_format": {"type": "json_object"},
+            "text": {"format": {"type": "json_object"}},
         })
         
         if response.get("success"):
@@ -178,4 +178,4 @@ def project_detail(request, slug):
         "assets": project.assets.all(),
         "scenes": project.scenes.all(),
     }
-    return render(request, "core/project_detail.html", context)
+    return render(request, "core/project_detail.html", context)