Flow temperature parameter (#533)

* Add temperature parameter to LlmService and roll out to all LLMs
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cybermaggedon 2025-09-25 21:26:11 +01:00 committed by GitHub
parent aa8e422e8c
commit 6f4f7ce6b4
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15 changed files with 164 additions and 72 deletions

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@ -231,28 +231,37 @@ class Processor(LlmService):
return Default
def _get_or_create_variant(self, model_name):
def _get_or_create_variant(self, model_name, temperature=None):
"""Get cached model variant or create new one"""
if model_name not in self.model_variants:
logger.info(f"Creating model variant for '{model_name}'")
# Use provided temperature or fall back to default
effective_temperature = temperature if temperature is not None else self.temperature
# Create a cache key that includes temperature to avoid conflicts
cache_key = f"{model_name}:{effective_temperature}"
if cache_key not in self.model_variants:
logger.info(f"Creating model variant for '{model_name}' with temperature {effective_temperature}")
variant_class = self.determine_variant(model_name)
variant = variant_class()
variant.set_temperature(self.temperature)
variant.set_temperature(effective_temperature)
variant.set_max_output(self.max_output)
self.model_variants[model_name] = variant
self.model_variants[cache_key] = variant
return self.model_variants[model_name]
return self.model_variants[cache_key]
async def generate_content(self, system, prompt, model=None):
async def generate_content(self, system, prompt, model=None, temperature=None):
# Use provided model or fall back to default
model_name = model or self.default_model
# Use provided temperature or fall back to default
effective_temperature = temperature if temperature is not None else self.temperature
logger.debug(f"Using model: {model_name}")
logger.debug(f"Using temperature: {effective_temperature}")
try:
# Get the appropriate variant for this model
variant = self._get_or_create_variant(model_name)
variant = self._get_or_create_variant(model_name, effective_temperature)
promptbody = variant.encode_request(system, prompt)