fix(bedrock.py): add all supported bedrock / anthropic messages api params

litellm/llms/bedrock.py

@@ -82,12 +82,22 @@ class AmazonAnthropicClaude3Config:
 
     Supported Params for the Amazon / Anthropic Claude 3 models:
 
-    - `max_tokens` (integer) max tokens,
-    - `anthropic_version` (string) version of anthropic for bedrock - e.g. "bedrock-2023-05-31"
+    - `max_tokens` Required (integer) max tokens,
+    - `anthropic_version` Required (string) version of anthropic for bedrock - e.g. "bedrock-2023-05-31"
+    - `system` Optional (string) the system prompt, conversion from openai format to this is handled in factory.py
+    - `temperature` Optional (float) The amount of randomness injected into the response
+    - `top_p` Optional (float) Use nucleus sampling.
+    - `top_k` Optional (int) Only sample from the top K options for each subsequent token
+    - `stop_sequences` Optional (List[str]) Custom text sequences that cause the model to stop generating
     """
 
     max_tokens: Optional[int] = litellm.max_tokens
     anthropic_version: Optional[str] = "bedrock-2023-05-31"
+    system: Optional[str] = None
+    temperature: Optional[float] = None
+    top_p: Optional[float] = None
+    top_k: Optional[int] = None
+    stop_sequences: Optional[List[str]] = None
 
     def __init__(
         self,
@@ -128,6 +138,12 @@ class AmazonAnthropicClaude3Config:
                 optional_params["tools"] = value
             if param == "stream":
                 optional_params["stream"] = value
+            if param == "stop":
+                optional_params["stop_sequences"] = value
+            if param == "temperature":
+                optional_params["temperature"] = value
+            if param == "top_p":
+                optional_params["top_p"] = value
         return optional_params