Addressing review comments.

aisuite/client.py

@@ -6,6 +6,20 @@ def __init__(self, provider_configs: dict = {}):
         """
         Initialize the client with provider configurations.
         Use the ProviderFactory to create provider instances.
+
+        Args:
+            provider_configs (dict): A dictionary containing provider configurations.
+                Each key should be a ProviderNames enum or its string representation,
+                and the value should be a dictionary of configuration options for that provider.
+                For example:
+                {
+                    ProviderNames.OPENAI: {"api_key": "your_openai_api_key"},
+                    "aws-bedrock": {
+                        "aws_access_key": "your_aws_access_key",
+                        "aws_secret_key": "your_aws_secret_key",
+                        "aws_region": "us-west-2"
+                    }
+                }
         """
         self.providers = {}
         self.provider_configs = provider_configs
@@ -84,8 +98,11 @@ def create(self, model: str, messages: list, **kwargs):
         provider_key, model_name = model.split(":", 1)
 
         if provider_key not in ProviderNames._value2member_map_:
+            # If the provider key does not match, give a clearer message to guide the user
+            valid_providers = ", ".join([p.value for p in ProviderNames])
             raise ValueError(
-                f"Provider {provider_key} is not a valid ProviderNames enum"
+                f"Invalid provider key '{provider_key}'. Expected one of: {valid_providers}. "
+                "Make sure the model string is formatted correctly as 'provider:model'."
             )
 
         if provider_key not in self.client.providers:

aisuite/providers/aws_bedrock_provider.py

@@ -3,29 +3,35 @@
 from aisuite.framework import ChatCompletionResponse
 
 
-# Used to call the AWS Bedrock converse API
-# Converse API provides consistent API, that works with all Amazon Bedrock models that support messages.
-# Eg: anthropic.claude-v2,
-#     meta.llama3-70b-instruct-v1:0,
-#     mistral.mixtral-8x7b-instruct-v0:1
-# The model value can be a baseModelId or provisionedModelArn.
-# Using a base model id gives on-demand throughput.
-# Use CreateProvisionedModelThroughput API to get provisionedModelArn for higher throughput.
-# https://docs.aws.amazon.com/bedrock/latest/userguide/model-ids.html
 class AWSBedrockProvider(Provider):
     def __init__(self, **config):
         """
         Initialize the AWS Bedrock provider with the given configuration.
-        Pass the entire configuration dictionary to the Anthropic Bedrock client constructor.
+
+        This class uses the AWS Bedrock converse API, which provides a consistent interface
+        for all Amazon Bedrock models that support messages. Examples include:
+        - anthropic.claude-v2
+        - meta.llama3-70b-instruct-v1:0
+        - mistral.mixtral-8x7b-instruct-v0:1
+
+        The model value can be a baseModelId for on-demand throughput or a provisionedModelArn
+        for higher throughput. To obtain a provisionedModelArn, use the CreateProvisionedModelThroughput API.
+
+        For more information on model IDs, see:
+        https://docs.aws.amazon.com/bedrock/latest/userguide/model-ids.html
+
+        Note:
+        - The Anthropic Bedrock client uses default AWS credential providers, such as
+          ~/.aws/credentials or the "AWS_SECRET_ACCESS_KEY" and "AWS_ACCESS_KEY_ID" environment variables.
+        - If the region is not set, it defaults to us-west-1, which may lead to a
+          "Could not connect to the endpoint URL" error.
+        - The client constructor does not accept additional parameters.
+
+        Args:
+            **config: Configuration options for the provider.
+
         """
-        # Anthropic Bedrock client will use the default AWS credential providers, such as
-        # using ~/.aws/credentials or the "AWS_SECRET_ACCESS_KEY" and "AWS_ACCESS_KEY_ID" environment variables.
-        # If region is not set, it will use a default to us-west-1 which can lead to error -
-        #   "Could not connect to the endpoint URL"
-        # It does not like parameters passed to the constructor.
         self.client = boto3.client("bedrock-runtime", region_name="us-west-2")
-        # Maintain a list of Inference Parameters which Bedrock supports.
-        # https://docs.aws.amazon.com/bedrock/latest/APIReference/API_runtime_InferenceConfiguration.html
         self.inference_parameters = [
             "maxTokens",
             "temperature",