Add configurable data providers and localize frontend UI

backend/llm/models.py

@@ -3,9 +3,9 @@
 AgentScope Native Model Factory
 Uses native AgentScope model classes for LLM calls
 """
-import os
 from enum import Enum
 from typing import Optional, Tuple
+import os
 from agentscope.formatter import (
     AnthropicChatFormatter,
     DashScopeChatFormatter,
@@ -20,6 +20,11 @@ from agentscope.model import (
     OllamaChatModel,
     OpenAIChatModel,
 )
+from backend.config.env_config import (
+    canonicalize_model_provider,
+    get_agent_model_config,
+    get_env_str,
+)
 
 
 class ModelProvider(Enum):
@@ -108,7 +113,7 @@ def create_model(
     Returns:
         AgentScope model instance
     """
-    provider = provider.upper()
+    provider = canonicalize_model_provider(provider)
 
     model_class = PROVIDER_MODEL_MAP.get(provider)
     if model_class is None:
@@ -138,19 +143,21 @@ def create_model(
 
     # Handle custom OpenAI base URL
     if provider == "OPENAI":
-        base_url = os.getenv("OPENAI_BASE_URL") or os.getenv("OPENAI_API_BASE")
+        base_url = get_env_str("OPENAI_BASE_URL") or get_env_str(
+            "OPENAI_API_BASE",
+        )
         if base_url:
             model_kwargs["client_args"] = {"base_url": base_url}
 
     # Handle DashScope base URL (uses different parameter)
     if provider in ("DASHSCOPE", "ALIBABA"):
-        base_url = os.getenv("DASHSCOPE_BASE_URL")
+        base_url = get_env_str("DASHSCOPE_BASE_URL")
         if base_url:
             model_kwargs["base_http_api_url"] = base_url
 
     # Handle Ollama host
     if provider == "OLLAMA":
-        host = os.getenv("OLLAMA_HOST")
+        host = get_env_str("OLLAMA_HOST")
         if host:
             model_kwargs["host"] = host
 
@@ -174,23 +181,11 @@ def get_agent_model(agent_id: str, stream: bool = False):
     Returns:
         AgentScope model instance
     """
-    # Normalize agent_id to uppercase for env var lookup
-    agent_key = agent_id.upper().replace("-", "_")
-
-    # Try agent-specific config first
-    model_name = os.getenv(f"AGENT_{agent_key}_MODEL_NAME")
-    provider = os.getenv(f"AGENT_{agent_key}_MODEL_PROVIDER")
-
-    print(f"Using specific model {model_name} for agent {agent_key}")
-    # Fall back to global config
-    if not model_name:
-        model_name = os.getenv("MODEL_NAME", "gpt-4o")
-    if not provider:
-        provider = os.getenv("MODEL_PROVIDER", "OPENAI")
+    resolved = get_agent_model_config(agent_id)
 
     return create_model(
-        model_name=model_name,
-        provider=provider,
+        model_name=resolved.model_name,
+        provider=resolved.provider,
         stream=stream,
     )
 
@@ -205,17 +200,7 @@ def get_agent_formatter(agent_id: str):
     Returns:
         AgentScope formatter instance
     """
-    # Normalize agent_id to uppercase for env var lookup
-    agent_key = agent_id.upper().replace("-", "_")
-
-    # Try agent-specific config first
-    provider = os.getenv(f"AGENT_{agent_key}_MODEL_PROVIDER")
-
-    # Fall back to global config
-    if not provider:
-        provider = os.getenv("MODEL_PROVIDER", "OPENAI")
-
-    provider = provider.upper()
+    provider = get_agent_model_config(agent_id).provider
     formatter_class = PROVIDER_FORMATTER_MAP.get(provider, OpenAIChatFormatter)
     return formatter_class()
 
@@ -230,14 +215,5 @@ def get_agent_model_info(agent_id: str) -> Tuple[str, str]:
     Returns:
         Tuple of (model_name, provider_name)
     """
-    agent_key = agent_id.upper().replace("-", "_")
-
-    model_name = os.getenv(f"AGENT_{agent_key}_MODEL_NAME")
-    provider = os.getenv(f"AGENT_{agent_key}_MODEL_PROVIDER")
-
-    if not model_name:
-        model_name = os.getenv("MODEL_NAME", "gpt-4o")
-    if not provider:
-        provider = os.getenv("MODEL_PROVIDER", "OPENAI")
-
-    return model_name, provider.upper()
+    resolved = get_agent_model_config(agent_id)
+    return resolved.model_name, resolved.provider