Addresses Issue #245 for better logging

[patilvishal0597]

Added logger_util to enable package and class wide logging in langchain-aws. Added logging for invoke and ainvoke.

Added a logger util for configuration of logger. Tested logging of invoke, ainvoke, and converse request/responses

Behaviour:

LANGCHAIN_AWS_DEBUG = LANGCHAIN_AWS_DEBUG_ROOT = True --> Logs debug messages across boto3 and application

LANGCHAIN_AWS_DEBUG = True; LANGCHAIN_AWS_DEBUG_ROOT = True --> Logs only applcation debug messages

LANGCHAIN_AWS_DEBUG = False; LANGCHAIN_AWS_DEBUG_ROOT = True --> Logs only application info messages

LANGCHAIN_AWS_DEBUG = LANGCHAIN_AWS_DEBUG_ROOT = False --> Logs only application info messages

Invoke call:

llm = ChatBedrock(
        model_id="us.anthropic.claude-3-5-sonnet-20241022-v2:0",
        region_name="us-east-1",
        model_kwargs={
            "max_tokens": 100,
            "top_p": 0.9,
            "temperature": 0.1,
        },
    )

# input to llm
messages = [
        (
            "system",
            "You are a helpful assistant that translates English to French. Translate the user sentence.",
        ),
        ("human", "I love going out for a walk when the weather is bright and sunny."),
    ]

# Invoke the llm
response = llm.invoke(messages)

Logging output:

Debug logs with LANGCHAIN_AWS_DEBUG and LANGCHAIN_AWS_DEBUG_ROOT env vars as True

...
...
....
2025-01-15 14:30:31 DEBUG | [connectionpool.py:1051] | urllib3.connectionpool - Starting new HTTPS connection (1): bedrock-runtime.us-east-1.amazonaws.com:443
2025-01-15 14:30:33 DEBUG | [connectionpool.py:546] | urllib3.connectionpool - https://bedrock-runtime.us-east-1.amazonaws.com:443 "POST /model/us.anthropic.claude-3-5-sonnet-20241022-v2%3A0/invoke HTTP/11" 200 299
2025-01-15 14:30:33 DEBUG | [parsers.py:241] | botocore.parsers - Response headers: {'Date': 'Wed, 15 Jan 2025 22:30:33 GMT', 'Content-Type': 'application/json', 'Content-Length': '299', 'Connection': 'keep-alive', 'x-amzn-RequestId': 'xxxxxx', 'X-Amzn-Bedrock-Invocation-Latency': '1077', 'X-Amzn-Bedrock-Output-Token-Count': '22', 'X-Amzn-Bedrock-Input-Token-Count': '40'}
2025-01-15 14:30:33 DEBUG | [parsers.py:242] | botocore.parsers - Response body:
<botocore.response.StreamingBody object at 0x108e595d0>
2025-01-15 14:30:33 DEBUG | [hooks.py:238] | botocore.hooks - Event needs-retry.bedrock-runtime.InvokeModel: calling handler <botocore.retryhandler.RetryHandler object at 0x108e58c80>
2025-01-15 14:30:33 DEBUG | [retryhandler.py:211] | botocore.retryhandler - No retry needed.
2025-01-15 14:30:33 INFO | [bedrock.py:603] | root - The output message sent by user: content="J'aime me promener quand il fait beau et ensoleillé." additional_kwargs={'usage': {'prompt_tokens': 40, 'completion_tokens': 22, 'total_tokens': 62}, 'stop_reason': 'end_turn', 'model_id': 'us.anthropic.claude-3-5-sonnet-20241022-v2:0'} response_metadata={} usage_metadata={'input_tokens': 40, 'output_tokens': 22, 'total_tokens': 62}
J'aime me promener quand il fait beau et ensoleillé.
(base) vishankp@7cf34de71c79 aws % 

Logging output when LANGCHAIN_AWS_DEBUG and LANGCHAIN_AWS_DEBUG_ROOT flags are False and logger is initialized with a module_name:

2025-01-15 14:39:40 INFO | langchain_aws.chat_models.bedrock - The input message sent by user: [SystemMessage(content='You are a helpful assistant that translates English to French. Translate the user sentence.', additional_kwargs={}, response_metadata={}), HumanMessage(content='I love going out for a walk when the weather is bright and sunny.', additional_kwargs={}, response_metadata={})]
2025-01-15 14:39:40 ERROR | langchain_aws.chat_models.bedrock - Testing error log
2025-01-15 14:39:41 INFO | langchain_aws.chat_models.bedrock - The output message sent by user: content="J'aime me promener quand il fait beau et ensoleillé." additional_kwargs={'usage': {'prompt_tokens': 40, 'completion_tokens': 22, 'total_tokens': 62}, 'stop_reason': 'end_turn', 'model_id': 'us.anthropic.claude-3-5-sonnet-20241022-v2:0'} response_metadata={} usage_metadata={'input_tokens': 40, 'output_tokens': 22, 'total_tokens': 62}
J'aime me promener quand il fait beau et ensoleillé.