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133 lines
3.7 KiB
Python
Executable file
133 lines
3.7 KiB
Python
Executable file
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"""
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Simple LLM service, performs text prompt completion using Claude.
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Input is prompt, output is response.
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"""
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import anthropic
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from .... schema import TextCompletionRequest, TextCompletionResponse
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from .... schema import text_completion_request_queue
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from .... schema import text_completion_response_queue
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from .... log_level import LogLevel
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from .... base import ConsumerProducer
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module = ".".join(__name__.split(".")[1:-1])
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default_input_queue = text_completion_request_queue
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default_output_queue = text_completion_response_queue
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default_subscriber = module
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default_model = 'claude-3-5-sonnet-20240620'
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default_temperature = 0.0
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default_max_output = 8192
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class Processor(ConsumerProducer):
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def __init__(self, **params):
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input_queue = params.get("input_queue", default_input_queue)
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output_queue = params.get("output_queue", default_output_queue)
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subscriber = params.get("subscriber", default_subscriber)
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model = params.get("model", default_model)
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api_key = params.get("api_key")
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temperature = params.get("temperature", default_temperature)
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max_output = params.get("max_output", default_max_output)
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super(Processor, self).__init__(
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**params | {
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"input_queue": input_queue,
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"output_queue": output_queue,
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"subscriber": subscriber,
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"input_schema": TextCompletionRequest,
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"output_schema": TextCompletionResponse,
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"model": model,
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"temperature": temperature,
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"max_output": max_output,
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}
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)
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self.model = model
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self.claude = anthropic.Anthropic(api_key=api_key)
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self.temperature = temperature
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self.max_output = max_output
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print("Initialised", flush=True)
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def handle(self, msg):
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v = msg.value()
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# Sender-produced ID
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id = msg.properties()["id"]
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print(f"Handling prompt {id}...", flush=True)
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prompt = v.prompt
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# FIXME: Rate limits?
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response = message = self.claude.messages.create(
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model=self.model,
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max_tokens=self.max_output,
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temperature=self.temperature,
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system = "You are a helpful chatbot.",
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messages=[
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{
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"role": "user",
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"content": [
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{
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"type": "text",
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"text": prompt
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}
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]
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}
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]
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)
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resp = response.content[0].text
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print(resp, flush=True)
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print("Send response...", flush=True)
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r = TextCompletionResponse(response=resp)
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self.send(r, properties={"id": id})
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print("Done.", flush=True)
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@staticmethod
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def add_args(parser):
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ConsumerProducer.add_args(
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parser, default_input_queue, default_subscriber,
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default_output_queue,
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)
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parser.add_argument(
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'-m', '--model',
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default="claude-3-5-sonnet-20240620",
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help=f'LLM model (default: claude-3-5-sonnet-20240620)'
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)
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parser.add_argument(
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'-k', '--api-key',
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help=f'Claude API key'
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)
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parser.add_argument(
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'-t', '--temperature',
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type=float,
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default=default_temperature,
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help=f'LLM temperature parameter (default: {default_temperature})'
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)
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parser.add_argument(
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'-x', '--max-output',
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type=int,
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default=default_max_output,
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help=f'LLM max output tokens (default: {default_max_output})'
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)
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def run():
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Processor.start(module, __doc__)
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