handler v12
#12
by
vikram-fresche
- opened
- handler.py +60 -5
handler.py
CHANGED
@@ -104,18 +104,73 @@ class EndpointHandler:
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# Split response into text and function call
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parts = response.split("Calling function:", 1)
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text_response = parts[0].strip()
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-
function_call =
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logger.info(f"Function call: {function_call}")
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logger.info(f"Text response: {text_response}")
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else:
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response = output_text
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logger.info(f"Generated response: {json.dumps(response)}")
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-
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except Exception as e:
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logger.error(f"Error during generation: {str(e)}", exc_info=True)
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# Split response into text and function call
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parts = response.split("Calling function:", 1)
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text_response = parts[0].strip()
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+
function_call = parts[1].strip()
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logger.info(f"Function call: {function_call}")
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logger.info(f"Text response: {text_response}")
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# Return in Anthropic format with tool calls
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return {
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"result": {
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"metadata": {
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"finishReason": "end_turn",
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"contentFilterMetadata": None
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},
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"output": {
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"messageType": "ASSISTANT",
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"metadata": {
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"messageType": "ASSISTANT"
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},
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"toolCalls": [{
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"type": "function",
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"function": {
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"name": function_call.split("(")[0].strip(),
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"arguments": function_call.split("(")[1].rstrip(")")
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}
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}],
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"content": text_response
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}
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},
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"metadata": {
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"id": f"msg_{int(time.time()*1000)}",
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"model": "granite-3.1-8b",
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"usage": {
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"promptTokens": len(inputs["input_ids"][0]),
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"generationTokens": len(output_tokens[0]) - len(inputs["input_ids"][0]),
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"totalTokens": len(output_tokens[0])
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}
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}
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}
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else:
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response = output_text
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logger.info(f"Generated response: {json.dumps(response)}")
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# Return in Anthropic format without tool calls
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return {
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"result": {
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"metadata": {
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"finishReason": "end_turn",
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"contentFilterMetadata": None
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},
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"output": {
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"messageType": "ASSISTANT",
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"metadata": {
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"messageType": "ASSISTANT"
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},
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"toolCalls": [],
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"content": response
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}
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},
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"metadata": {
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"id": f"msg_{int(time.time()*1000)}",
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"model": "granite-3.1-8b",
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"usage": {
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"promptTokens": len(inputs["input_ids"][0]),
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"generationTokens": len(output_tokens[0]) - len(inputs["input_ids"][0]),
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"totalTokens": len(output_tokens[0])
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}
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}
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}
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except Exception as e:
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logger.error(f"Error during generation: {str(e)}", exc_info=True)
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