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create the app
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import os
import re
from typing import List
from tenacity import retry, stop_after_attempt, wait_random_exponential
from ..message import SYSTEM_NAME as SYSTEM
from ..message import Message
from .base import IntelligenceBackend
try:
import bardapi
except ImportError:
is_bard_available = False
# logging.warning("bard package is not installed")
else:
bard_api_key = os.environ.get("_BARD_API_KEY")
if bard_api_key is None:
# logging.warning(
# "Bard API key is not set. Please set the environment variable _BARD_API_KEY")
is_bard_available = False
else:
is_bard_available = True
DEFAULT_MAX_TOKENS = 4096
class Bard(IntelligenceBackend):
"""Interface to the Bard offered by Google."""
stateful = False
type_name = "bard"
def __init__(self, max_tokens: int = DEFAULT_MAX_TOKENS, **kwargs):
assert (
is_bard_available
), "bard package is not installed or the API key is not set"
super().__init__(max_tokens=max_tokens, **kwargs)
self.max_tokens = max_tokens
self.client = bardapi.core.Bard()
@retry(stop=stop_after_attempt(6), wait=wait_random_exponential(min=1, max=60))
def _get_response(self, prompt: str):
response = self.client.get_answer(
input_text=prompt,
)
response = response["content"].strip()
return response
def query(
self,
agent_name: str,
role_desc: str,
history_messages: List[Message],
global_prompt: str = None,
request_msg: Message = None,
*args,
**kwargs,
) -> str:
"""
Format the input and call the Bard API.
args:
agent_name: the name of the agent
role_desc: the description of the role of the agent
env_desc: the description of the environment
history_messages: the history of the conversation, or the observation for the agent
request_msg: the request from the system to guide the agent's next response
"""
all_messages = (
[(SYSTEM, global_prompt), (SYSTEM, role_desc)]
if global_prompt
else [(SYSTEM, role_desc)]
)
for message in history_messages:
all_messages.append((message.agent_name, message.content))
if request_msg:
all_messages.append((SYSTEM, request_msg.content))
# current bard api doesn't support role system, so just dump the raw messages as prompt
response = self._get_response(str(all_messages), *args, **kwargs)
# Remove the agent name if the response starts with it
response = re.sub(rf"^\s*\[{agent_name}]:?", "", response).strip()
return response