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configs/llms/base.py

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+from abc import ABC
+from typing import Dict, Optional, Union
+
+import httpx
+
+
+class BaseLlmConfig(ABC):
+    """
+    Base configuration for LLMs with only common parameters.
+    Provider-specific configurations should be handled by separate config classes.
+
+    This class contains only the parameters that are common across all LLM providers.
+    For provider-specific parameters, use the appropriate provider config class.
+    """
+
+    def __init__(
+        self,
+        model: Optional[Union[str, Dict]] = None,
+        temperature: float = 0.1,
+        api_key: Optional[str] = None,
+        max_tokens: int = 2000,
+        top_p: float = 0.1,
+        top_k: int = 1,
+        enable_vision: bool = False,
+        vision_details: Optional[str] = "auto",
+        http_client_proxies: Optional[Union[Dict, str]] = None,
+    ):
+        """
+        Initialize a base configuration class instance for the LLM.
+
+        Args:
+            model: The model identifier to use (e.g., "gpt-4.1-nano-2025-04-14", "claude-3-5-sonnet-20240620")
+                Defaults to None (will be set by provider-specific configs)
+            temperature: Controls the randomness of the model's output.
+                Higher values (closer to 1) make output more random, lower values make it more deterministic.
+                Range: 0.0 to 2.0. Defaults to 0.1
+            api_key: API key for the LLM provider. If None, will try to get from environment variables.
+                Defaults to None
+            max_tokens: Maximum number of tokens to generate in the response.
+                Range: 1 to 4096 (varies by model). Defaults to 2000
+            top_p: Nucleus sampling parameter. Controls diversity via nucleus sampling.
+                Higher values (closer to 1) make word selection more diverse.
+                Range: 0.0 to 1.0. Defaults to 0.1
+            top_k: Top-k sampling parameter. Limits the number of tokens considered for each step.
+                Higher values make word selection more diverse.
+                Range: 1 to 40. Defaults to 1
+            enable_vision: Whether to enable vision capabilities for the model.
+                Only applicable to vision-enabled models. Defaults to False
+            vision_details: Level of detail for vision processing.
+                Options: "low", "high", "auto". Defaults to "auto"
+            http_client_proxies: Proxy settings for HTTP client.
+                Can be a dict or string. Defaults to None
+        """
+        self.model = model
+        self.temperature = temperature
+        self.api_key = api_key
+        self.max_tokens = max_tokens
+        self.top_p = top_p
+        self.top_k = top_k
+        self.enable_vision = enable_vision
+        self.vision_details = vision_details
+        self.http_client = httpx.Client(proxies=http_client_proxies) if http_client_proxies else None