mirror of
https://github.com/hwchase17/langchain
synced 2024-11-06 03:20:49 +00:00
36 lines
995 B
Python
36 lines
995 B
Python
from langchain_community.chat_models import ChatAnthropic
|
|
from langchain_core.output_parsers import StrOutputParser
|
|
from langchain_core.prompts import ChatPromptTemplate
|
|
from langchain_core.pydantic_v1 import BaseModel
|
|
from langchain_core.runnables import ConfigurableField
|
|
|
|
from .prompts import answer_prompt
|
|
from .retriever_agent import executor
|
|
|
|
prompt = ChatPromptTemplate.from_template(answer_prompt)
|
|
|
|
model = ChatAnthropic(model="claude-2", temperature=0, max_tokens_to_sample=1000)
|
|
|
|
chain = (
|
|
{"query": lambda x: x["query"], "information": executor | (lambda x: x["output"])}
|
|
| prompt
|
|
| model
|
|
| StrOutputParser()
|
|
)
|
|
|
|
# Add typing for the inputs to be used in the playground
|
|
|
|
|
|
class Inputs(BaseModel):
|
|
query: str
|
|
|
|
|
|
chain = chain.with_types(input_type=Inputs)
|
|
|
|
chain = chain.configurable_alternatives(
|
|
ConfigurableField(id="chain"),
|
|
default_key="response",
|
|
# This adds a new option, with name `openai` that is equal to `ChatOpenAI()`
|
|
retrieve=executor,
|
|
)
|