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134 lines
3.7 KiB
Python
Executable file
134 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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import os
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import logging
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from .... exceptions import TooManyRequests
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from .... base import LlmService, LlmResult
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# Module logger
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logger = logging.getLogger(__name__)
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default_ident = "text-completion"
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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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default_api_key = os.getenv("CLAUDE_KEY")
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class Processor(LlmService):
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def __init__(self, **params):
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model = params.get("model", default_model)
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api_key = params.get("api_key", default_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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if api_key is None:
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raise RuntimeError("Claude API key not specified")
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super(Processor, self).__init__(
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**params | {
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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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logger.info("Claude LLM service initialized")
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async def generate_content(self, system, prompt):
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try:
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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 = system,
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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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inputtokens = response.usage.input_tokens
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outputtokens = response.usage.output_tokens
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logger.debug(f"LLM response: {resp}")
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logger.info(f"Input Tokens: {inputtokens}")
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logger.info(f"Output Tokens: {outputtokens}")
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resp = LlmResult(
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text = resp,
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in_token = inputtokens,
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out_token = outputtokens,
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model = self.model
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)
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return resp
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except anthropic.RateLimitError:
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# Leave rate limit retries to the base handler
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raise TooManyRequests()
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except Exception as e:
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# Apart from rate limits, treat all exceptions as unrecoverable
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logger.error(f"Claude LLM exception ({type(e).__name__}): {e}", exc_info=True)
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raise e
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@staticmethod
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def add_args(parser):
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LlmService.add_args(parser)
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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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default=default_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.launch(default_ident, __doc__)
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