venice/chat.py

@@ -1,7 +1,7 @@
 """
 title: Venice.ai Chat
 author: Jeff Smith
-version: 1.3.0
+version: 1.4.0
 license: MIT
 required_open_webui_version: 0.6.0
 requirements: httpx, pydantic
@@ -18,6 +18,10 @@ description: |
 
     Use venice_info/list_models("text") to discover available models.
 changelog:
+  1.4.0:
+    - Added VeniceChat namespace class for helper functions to avoid method collisions
+    - Moved _get_api_key, _truncate, _format_error to VeniceChat namespace
+    - Prevents Open WebUI framework introspection method name collisions
   1.3.0:
     - Fixed UserValves access pattern for per-user API keys
     - Added __request__ parameter handling for zero-config API calls
@@ -34,6 +38,53 @@ import json
 import time
 
 
+class VeniceChat:
+    """
+    Namespaced helpers for Venice chat operations.
+    
+    Using a separate class prevents Open WebUI framework introspection
+    from colliding with tool methods that have generic names like _get_api_key.
+    """
+
+    @staticmethod
+    def get_api_key(valves, user_valves, __user__: dict = None) -> str:
+        """Get API key with UserValves priority."""
+        # Check __user__ parameter first (for direct method calls)
+        if __user__ and "valves" in __user__:
+            user_valves_dict = __user__.get("valves")
+            if isinstance(user_valves_dict, dict) and user_valves_dict.get("VENICE_API_KEY"):
+                return user_valves_dict["VENICE_API_KEY"]
+        
+        # Fall back to UserValves instance
+        return user_valves.VENICE_API_KEY or valves.VENICE_API_KEY
+
+    @staticmethod
+    def truncate(text: str, max_size: int) -> str:
+        """Truncate response to max size."""
+        if max_size and len(text) > max_size:
+            return text[:max_size] + f"\n\n[...{len(text) - max_size} chars omitted]"
+        return text
+
+    @staticmethod
+    def format_error(e, context: str = "") -> str:
+        """Format HTTP error with detailed context for LLM understanding."""
+        try:
+            if hasattr(e, "response") and e.response is not None:
+                error_msg = e.response.text[:200]
+                try:
+                    error_json = e.response.json()
+                    error_msg = error_json.get("message", error_msg)
+                except Exception:
+                    pass
+            else:
+                error_msg = str(e)[:200]
+        except Exception:
+            error_msg = str(e)[:200]
+
+        context_str = f" ({context})" if context else ""
+        return f"Error{context_str}: {error_msg}"
+
+
 class Tools:
     """
     Venice.ai chat completions tool.
@@ -98,60 +149,19 @@ class Tools:
         self._cache: dict = {}
         self._cache_times: dict = {}
 
-    def _get_api_key(self, __user__: dict = None) -> str:
-        """Get Venice API key with UserValves priority."""
-        # Check __user__ parameter first (for direct method calls)
-        if __user__ and "valves" in __user__:
-            user_valves = __user__.get("valves")
-            if isinstance(user_valves, dict) and user_valves.get("VENICE_API_KEY"):
-                return user_valves["VENICE_API_KEY"]
-            elif hasattr(user_valves, "VENICE_API_KEY"):
-                return user_valves.VENICE_API_KEY
-
-        # Fall back to UserValves instance
-        return self.user_valves.VENICE_API_KEY or self.valves.VENICE_API_KEY
-
-    def _truncate(self, text: str) -> str:
-        """Truncate response to max size."""
-        max_size = self.valves.MAX_RESPONSE_SIZE
-        if max_size and len(text) > max_size:
-            return (
-                text[:max_size]
-                + f"\n\n[...truncated, {len(text) - max_size} chars omitted]"
-            )
-        return text
-
     def _is_cache_valid(self, key: str) -> bool:
         """Check if cached data is still valid."""
         if key not in self._cache_times:
             return False
         return (time.time() - self._cache_times[key]) < self.valves.MODEL_CACHE_TTL
 
-    def _format_error(self, e, context: str = "") -> str:
-        """Format HTTP error with detailed context for LLM understanding."""
-        try:
-            if hasattr(e, "response") and e.response is not None:
-                error_msg = e.response.text[:200]
-                try:
-                    error_json = e.response.json()
-                    error_msg = error_json.get("message", error_msg)
-                except Exception:
-                    pass
-            else:
-                error_msg = str(e)[:200]
-        except Exception:
-            error_msg = str(e)[:200]
-
-        context_str = f" ({context})" if context else ""
-        return f"Error{context_str}: {error_msg}"
-
     async def _get_traits(self, __user__: dict = None) -> dict:
         """Fetch model traits from Venice (cached)."""
         cache_key = "traits"
         if self._is_cache_valid(cache_key):
             return self._cache.get(cache_key, {})
 
-        api_key = self._get_api_key(__user__)
+        api_key = VeniceChat.get_api_key(self.valves, self.user_valves, __user__)
         if not api_key:
             return {}
 
@@ -178,7 +188,7 @@ class Tools:
         if self._is_cache_valid(cache_key):
             return self._cache.get(cache_key, [])
 
-        api_key = self._get_api_key(__user__)
+        api_key = VeniceChat.get_api_key(self.valves, self.user_valves, __user__)
         if not api_key:
             return []
 
@@ -362,7 +372,7 @@ class Tools:
         :param web_search: Enable web search for current information
         :return: Model response
         """
-        api_key = self._get_api_key(__user__)
+        api_key = VeniceChat.get_api_key(self.valves, self.user_valves, __user__)
         if not api_key:
             return "Error: Venice API key not configured. Set VENICE_API_KEY in UserValves or ask admin."
 
@@ -463,10 +473,10 @@ class Tools:
                     f"_Tokens: {usage.get('prompt_tokens', 0)} in / {usage.get('completion_tokens', 0)} out_"
                 )
 
-            return self._truncate("\n".join(lines))
+            return VeniceChat.truncate("\n".join(lines), self.valves.MAX_RESPONSE_SIZE)
 
         except httpx.HTTPStatusError as e:
-            error_msg = self._format_error(e, f"chat request to {resolved_model}")
+            error_msg = VeniceChat.format_error(e, f"chat request to {resolved_model}")
             if __event_emitter__:
                 await __event_emitter__({"type": "status", "data": {"done": True}})
             return f"Error: {error_msg}"
@@ -475,7 +485,7 @@ class Tools:
                 await __event_emitter__({"type": "status", "data": {"done": True}})
             return f"Error: Request timed out for {resolved_model}"
         except Exception as e:
-            error_msg = self._format_error(e, "chat request")
+            error_msg = VeniceChat.format_error(e, "chat request")
             if __event_emitter__:
                 await __event_emitter__({"type": "status", "data": {"done": True}})
             return f"Error: {error_msg}"
@@ -501,7 +511,7 @@ class Tools:
         :param max_tokens: Maximum response tokens (default 2048)
         :return: Model response
         """
-        api_key = self._get_api_key(__user__)
+        api_key = VeniceChat.get_api_key(self.valves, self.user_valves, __user__)
         if not api_key:
             return "Error: Venice API key not configured."
 
@@ -585,15 +595,15 @@ class Tools:
 
             lines.append(f"**Response:**\n{content}")
 
-            return self._truncate("\n".join(lines))
+            return VeniceChat.truncate("\n".join(lines), self.valves.MAX_RESPONSE_SIZE)
 
         except httpx.HTTPStatusError as e:
-            error_msg = self._format_error(e, f"conversation with {resolved_model}")
+            error_msg = VeniceChat.format_error(e, f"conversation with {resolved_model}")
             if __event_emitter__:
                 await __event_emitter__({"type": "status", "data": {"done": True}})
             return f"Error: {error_msg}"
         except Exception as e:
-            error_msg = self._format_error(e, "conversation request")
+            error_msg = VeniceChat.format_error(e, "conversation request")
             if __event_emitter__:
                 await __event_emitter__({"type": "status", "data": {"done": True}})
             return f"Error: {error_msg}"
@@ -615,7 +625,7 @@ class Tools:
         :param model: Model with reasoning capability, "self", or empty for auto-select. Use venice_info/list_models("text") to find models with [reasoning].
         :return: Response with reasoning process
         """
-        api_key = self._get_api_key(__user__)
+        api_key = VeniceChat.get_api_key(self.valves, self.user_valves, __user__)
         if not api_key:
             return "Error: Venice API key not configured."
 
@@ -706,10 +716,10 @@ class Tools:
                     f"_Tokens: {total:,} total ({reasoning_tokens:,} reasoning)_"
                 )
 
-            return self._truncate("\n".join(lines))
+            return VeniceChat.truncate("\n".join(lines), self.valves.MAX_RESPONSE_SIZE)
 
         except httpx.HTTPStatusError as e:
-            error_msg = self._format_error(e, f"reasoning with {resolved_model}")
+            error_msg = VeniceChat.format_error(e, f"reasoning with {resolved_model}")
             if __event_emitter__:
                 await __event_emitter__({"type": "status", "data": {"done": True}})
             return f"Error: {error_msg}"
@@ -718,7 +728,7 @@ class Tools:
                 await __event_emitter__({"type": "status", "data": {"done": True}})
             return f"Error: Request timed out for {resolved_model} (reasoning can take a while)"
         except Exception as e:
-            error_msg = self._format_error(e, "reasoning request")
+            error_msg = VeniceChat.format_error(e, "reasoning request")
             if __event_emitter__:
                 await __event_emitter__({"type": "status", "data": {"done": True}})
             return f"Error: {error_msg}"
@@ -738,7 +748,7 @@ class Tools:
         :param model: Model to use, "self", or empty for auto-select
         :return: Response with web sources
         """
-        api_key = self._get_api_key(__user__)
+        api_key = VeniceChat.get_api_key(self.valves, self.user_valves, __user__)
         if not api_key:
             return "Error: Venice API key not configured."
 
@@ -765,8 +775,8 @@ class Tools:
 
         payload = {
             "model": resolved_model,
-            "messages": [{"role": "user", "content": query}],
-            "temperature": 0.3,  # Lower for factual responses
+            "messages": [{"role": "user",}],
+            "temperature": 0.3,  "content": query # Lower for factual responses
             "max_tokens": 2048,
             "stream": False,
             "venice_parameters": {
@@ -818,15 +828,15 @@ class Tools:
                     lines.append(f"- {title}")
                     lines.append(f"  {url}")
 
-            return self._truncate("\n".join(lines))
+            return VeniceChat.truncate("\n".join(lines), self.valves.MAX_RESPONSE_SIZE)
 
         except httpx.HTTPStatusError as e:
-            error_msg = self._format_error(e, f"web search with {resolved_model}")
+            error_msg = VeniceChat.format_error(e, f"web search with {resolved_model}")
             if __event_emitter__:
                 await __event_emitter__({"type": "status", "data": {"done": True}})
             return f"Error: {error_msg}"
         except Exception as e:
-            error_msg = self._format_error(e, "web search request")
+            error_msg = VeniceChat.format_error(e, "web search request")
             if __event_emitter__:
                 await __event_emitter__({"type": "status", "data": {"done": True}})
             return f"Error: {error_msg}"