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jblitzar
/
github-python-corpus

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def classify(self, response):
raise NotImplementedError
class ControlPatternAgent(ControlBaseAgent):
def __init__(self, denial_phrases, temperature_multiplier=None, giveup_after=None, giveup_response=None):
super().__init__(temperature_multiplier, giveup_after, giveup_response)
self.denial_phrases = denial_phrases
@staticmethod
def from_config(config):
return ControlPatternAgent(
denial_phrases=config["denial_phrases"],
temperature_multiplier=config.get("temperature_multiplier"),
giveup_after=config.get("giveup_after"),
giveup_response=config.get("giveup_response")
)
def classify(self, response):
if isinstance(response, dict):
response_text = response["text"]
else:
response_text = response
normalize = lambda text: text.replace("'", "").replace('"', "").strip().lower()
for phrase in self.denial_phrases:
if normalize(phrase) in normalize(response_text):
return False
return True
class ControlLLMAgent(BaseLLMAgent):
def __init__(self, system_prompt, denial_classes: list[str], model_name="gpt-4o-mini", examples=None, temperature_multiplier=None, giveup_after=None, giveup_response=None):
super().__init__(
model_name=model_name,
system_prompt=system_prompt,
examples=examples,
temperature_multiplier=temperature_multiplier,
giveup_after=giveup_after,
giveup_response=giveup_response
)
assert self.output_json, "Control agent must be used with JSON responses"
self.denial_classes = denial_classes
@staticmethod
def from_config(config):
return ControlLLMAgent(
system_prompt=config["system_prompt"],
denial_classes=config["denial_classes"],
model_name=config.get("model"),
examples=config.get("examples"),
temperature_multiplier=config.get("temperature_multiplier"),
giveup_after=config.get("giveup_after"),
giveup_response=config.get("giveup_response")
)
def classify(self, response):
if isinstance(response, dict):
response_text = response["text"]
else:
response_text = response
context = ConversationContext()
context.add_message({"role": "user", "content": response_text})
control_response = super().completion(context)
if control_response["class"] in self.denial_classes:
return False
return True
def _setup_litellm():
import dotenv
dotenv.load_dotenv()
api_base = os.getenv("LITELLM_API_BASE")
api_key = os.getenv("LITELLM_API_KEY")
if not api_base or not api_key:
raise EnvironmentError("LITELLM_API_BASE and LITELLM_API_KEY must be defined in environment variables")
litellm.api_base = api_base
litellm.api_key = api_key
_setup_litellm()
# <FILESEP>
import sys
import shutil
from pathlib import Path
from invoke import task
@task
def test(c, nbs=False):
"""Run unit tests + flake8"""