diff --git a/llms/providers/anthropic.py b/llms/providers/anthropic.py
index b52107c..a05c007 100644
--- a/llms/providers/anthropic.py
+++ b/llms/providers/anthropic.py
@@ -1,7 +1,6 @@
 # llms/providers/anthropic.py
 
-import os
-from typing import AsyncGenerator, Dict, Generator, List, Optional
+from typing import AsyncGenerator, Dict, Generator, List, Optional, Union
 
 import anthropic
 
@@ -28,18 +27,26 @@ class AnthropicProvider(BaseProvider):
             "completion": 5.51,
             "token_limit": 100_000,
         },
-        "claude-2": {"prompt": 11.02, "completion": 32.68, "token_limit": 100_000},
+        "claude-2": {"prompt": 8.00, "completion": 24.00, "token_limit": 200_000},
     }
 
-    def __init__(self, api_key: Optional[str] = None, model: Optional[str] = None):
+    def __init__(
+        self,
+        api_key: Union[str, None] = None,
+        model: Union[str, None] = None,
+        client_kwargs: Union[dict, None] = None,
+        async_client_kwargs: Union[dict, None] = None,
+    ):
         if model is None:
             model = list(self.MODEL_INFO.keys())[0]
         self.model = model
 
-        if api_key is None:
-            api_key = os.getenv("ANTHROPIC_API_KEY")
-        self.client = anthropic.Anthropic(api_key=api_key)
-        self.async_client = anthropic.AsyncAnthropic(api_key=api_key)
+        if client_kwargs is None:
+            client_kwargs = {}
+        self.client = anthropic.Anthropic(api_key=api_key, **client_kwargs)
+        if async_client_kwargs is None:
+            async_client_kwargs = {}
+        self.async_client = anthropic.AsyncAnthropic(api_key=api_key, **async_client_kwargs)
 
     def count_tokens(self, content: str) -> int:
         return self.client.count_tokens(content)
diff --git a/llms/providers/openai.py b/llms/providers/openai.py
index 3ba3125..4ea98b8 100644
--- a/llms/providers/openai.py
+++ b/llms/providers/openai.py
@@ -17,12 +17,22 @@ class OpenAIProvider(BaseProvider):
         "gpt-4-1106-preview": {"prompt": 10.0, "completion": 20.0, "token_limit": 128000, "is_chat": True},
     }
 
-    def __init__(self, api_key=None, model=None):
+    def __init__(
+        self,
+        api_key: Union[str, None] = None,
+        model: Union[str, None] = None,
+        client_kwargs: Union[dict, None] = None,
+        async_client_kwargs: Union[dict, None] = None,
+    ):
         if model is None:
             model = list(self.MODEL_INFO.keys())[0]
         self.model = model
-        self.client = OpenAI(api_key=api_key)
-        self.async_client = AsyncOpenAI(api_key=api_key)
+        if client_kwargs is None:
+            client_kwargs = {}
+        self.client = OpenAI(api_key=api_key, **client_kwargs)
+        if async_client_kwargs is None:
+            async_client_kwargs = {}
+        self.async_client = AsyncOpenAI(api_key=api_key, **async_client_kwargs)
 
     @property
     def is_chat_model(self) -> bool: