Testing Reasoning

This commit is contained in:
jknapp 2025-03-16 12:02:57 -07:00
parent 47ac05c9e4
commit c16008aa35

View File

@ -139,57 +139,22 @@ class Pipeline:
processed_messages.append({"role": message["role"], "content": processed_content})
payload = {
"model": model_id,
"messages": processed_messages,
"max_tokens": body.get("max_tokens", 4096),
"temperature": body.get("temperature", 0.8),
"top_k": body.get("top_k", 40),
"top_p": body.get("top_p", 0.9),
"stop_sequences": body.get("stop", []),
**({"system": str(system_message)} if system_message else {}),
"stream": body.get("stream", False),
reasoning_config = {
"thinking": {
"type": "enabled",
"budget_tokens": 4096
}
}
if body.get("stream", False):
supports_thinking = "claude-3-7" in model_id
reasoning_effort = body.get("reasoning_effort", "none")
budget_tokens = REASONING_EFFORT_BUDGET_TOKEN_MAP.get(reasoning_effort)
# Allow users to input an integer value representing budget tokens
if (
not budget_tokens
and reasoning_effort not in REASONING_EFFORT_BUDGET_TOKEN_MAP.keys()
):
try:
budget_tokens = int(reasoning_effort)
except ValueError as e:
print("Failed to convert reasoning effort to int", e)
budget_tokens = None
if supports_thinking and budget_tokens:
# Check if the combined tokens (budget_tokens + max_tokens) exceeds the limit
max_tokens = payload.get("max_tokens", 4096)
combined_tokens = budget_tokens + max_tokens
if combined_tokens > MAX_COMBINED_TOKENS:
error_message = f"Error: Combined tokens (budget_tokens {budget_tokens} + max_tokens {max_tokens} = {combined_tokens}) exceeds the maximum limit of {MAX_COMBINED_TOKENS}"
print(error_message)
return error_message
payload["max_tokens"] = combined_tokens
payload["thinking"] = {
"type": "enabled",
"budget_tokens": budget_tokens,
}
# Thinking requires temperature 1.0 and does not support top_p, top_k
payload["temperature"] = 1.0
if "top_k" in payload:
del payload["top_k"]
if "top_p" in payload:
del payload["top_p"]
return self.get_completion(model_id, payload)
else:
return self.stream_response(model_id, payload)
payload = {"modelId": model_id,
"messages": processed_messages,
"system": [{'text': system_message if system_message else 'you are an intelligent ai assistant'}],
"inferenceConfig": {"temperature": body.get("temperature", 0.5)},
"additionalModelRequestFields": reasoning_config
}
# if body.get("stream", False):
# return self.stream_response(model_id, payload)
#else:
return self.get_completion(model_id, payload)
except Exception as e:
return f"Error: {e}"
@ -209,6 +174,7 @@ class Pipeline:
}
def stream_response(self, model_id: str, payload: dict) -> Generator:
# https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/bedrock-runtime/client/converse_stream.html
if "system" in payload:
del payload["system"]
if "additionalModelRequestFields" in payload:
@ -219,6 +185,7 @@ class Pipeline:
yield chunk["contentBlockDelta"]["delta"]["text"]
def get_completion(self, model_id: str, payload: dict) -> str:
# https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/bedrock-runtime/client/converse.html
response = self.bedrock_runtime.converse(**payload)
content_blocks = response["output"]["message"]["content"]