cleaned up docstrings for model adapters

Author: cemde

maseval/interface/inference/anthropic.py

@@ -58,22 +58,14 @@ class AnthropicModelAdapter(ModelAdapter):
     """Adapter for Anthropic Claude models.
 
     Works with Claude models through the official Anthropic Python SDK.
-
-    Supported models include:
-        - claude-sonnet-4-5-20250514 (Claude Sonnet 4.5)
-        - claude-opus-4-5-20251101 (Claude Opus 4.5)
-        - claude-3-5-sonnet-20241022
-        - claude-3-opus-20240229
-        - And other Claude model variants
+    Pass any model ID supported by the Anthropic API.
 
     The adapter accepts OpenAI-style messages and converts them to Anthropic's
     format internally. Key differences handled automatically:
-        - System messages are passed separately (not in messages array)
-        - Tool definitions are converted to Anthropic format
-        - Tool responses are converted to tool_result content blocks
 
-    API keys can be set via ANTHROPIC_API_KEY environment variable or
-    passed to the Anthropic client directly.
+    - System messages are passed separately (not in messages array)
+    - Tool definitions are converted to Anthropic format
+    - Tool responses are converted to tool_result content blocks
     """
 
     def __init__(

maseval/interface/inference/google_genai.py

@@ -53,12 +53,7 @@ class GoogleGenAIModelAdapter(ModelAdapter):
     """Adapter for Google Generative AI (Gemini models).
 
     Works with Google's Gemini models through the google-genai SDK.
-
-    Supported models include:
-        - gemini-2.0-flash
-        - gemini-1.5-pro
-        - gemini-1.5-flash
-        - And other Gemini model variants
+    Pass any model ID supported by the Google GenAI API.
 
     The adapter converts OpenAI-style messages to Google's format internally,
     so you can use the same message format across all adapters.
@@ -119,24 +114,10 @@ def _chat_impl(
         system_instruction, contents = self._convert_messages(messages)
 
         # Build config
-        config_params = {}
+        config_params = dict(params)
         if system_instruction:
             config_params["system_instruction"] = system_instruction
 
-        # Map common parameter names
-        if "max_tokens" in params:
-            config_params["max_output_tokens"] = params.pop("max_tokens")
-        if "max_output_tokens" in params:
-            config_params["max_output_tokens"] = params.pop("max_output_tokens")
-        if "temperature" in params:
-            config_params["temperature"] = params.pop("temperature")
-        if "top_p" in params:
-            config_params["top_p"] = params.pop("top_p")
-        if "top_k" in params:
-            config_params["top_k"] = params.pop("top_k")
-        if "stop_sequences" in params:
-            config_params["stop_sequences"] = params.pop("stop_sequences")
-
         # Convert tools to Google format
         if tools:
             config_params["tools"] = self._convert_tools(tools)

maseval/interface/inference/litellm.py

@@ -53,13 +53,7 @@ class LiteLLMModelAdapter(ModelAdapter):
     (OpenAI, Anthropic, Cohere, Azure, AWS Bedrock, Google, etc.) using
     OpenAI-compatible syntax.
 
-    Supported providers include:
-        - OpenAI: "gpt-4", "gpt-3.5-turbo"
-        - Anthropic: "claude-3-opus-20240229", "claude-3-sonnet-20240229"
-        - Azure: "azure/gpt-4", "azure/gpt-35-turbo"
-        - AWS Bedrock: "bedrock/anthropic.claude-v2"
-        - Google: "gemini/gemini-pro"
-        - And many more (see https://docs.litellm.ai/docs/providers)
+    For supported providers see https://docs.litellm.ai/docs/providers.
 
     API keys are read from environment variables by default:
         - OPENAI_API_KEY for OpenAI