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Add possiblity to attach custom prompts to an agent #62

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Merged
merged 2 commits into from
May 25, 2023
Merged

Add possiblity to attach custom prompts to an agent #62

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26d678c
Add possiblity to attach custom prompts to an agent
homanp May 25, 2023
c60a46d
Remove print statement
homanp May 25, 2023
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3 changes: 2 additions & 1 deletion app/api/agents.py
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Original file line number Diff line number Diff line change
Expand Up @@ -51,6 +51,7 @@ async def read_agents(token=Depends(JWTBearer())):
include={
"user": True,
"document": True,
"prompt": True,
},
order={"createdAt": "desc"},
)
Expand Down Expand Up @@ -123,7 +124,7 @@ async def run_agent(
input["chat_history"] = []
has_streaming = body.has_streaming
agent = prisma.agent.find_unique(
where={"id": agentId}, include={"user": True, "document": True}
where={"id": agentId}, include={"user": True, "document": True, "prompt": True}
)

prisma.agentmemory.create(
Expand Down
19 changes: 17 additions & 2 deletions app/lib/agents.py
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Original file line number Diff line number Diff line change
Expand Up @@ -11,6 +11,7 @@
from langchain.embeddings.openai import OpenAIEmbeddings
from langchain.llms import Cohere, OpenAI
from langchain.memory import ChatMessageHistory, ConversationBufferMemory
from langchain.prompts.prompt import PromptTemplate
from langchain.vectorstores.pinecone import Pinecone

from app.lib.callbacks import StreamingCallbackHandler
Expand All @@ -32,7 +33,7 @@ def __init__(
self.has_memory = agent.hasMemory
self.type = agent.type
self.llm = agent.llm
self.prompt = default_chat_prompt
self.prompt = agent.prompt
self.has_streaming = has_streaming
self.on_llm_new_token = on_llm_new_token
self.on_llm_end = on_llm_end
Expand Down Expand Up @@ -60,6 +61,18 @@ def _get_api_key(self) -> str:
else config("COHERE_API_KEY")
)

def _get_prompt(self) -> Any:
if self.prompt:
prompt = PromptTemplate(
input_variables=self.prompt.input_variables,
template=self.prompt.template,
)

return prompt

else:
return default_chat_prompt

def _get_llm(self) -> Any:
if self.llm["provider"] == "openai-chat":
return (
Expand Down Expand Up @@ -174,6 +187,8 @@ def get_agent(self) -> Any:
)

else:
agent = LLMChain(llm=llm, memory=memory, verbose=True, prompt=self.prompt)
agent = LLMChain(
llm=llm, memory=memory, verbose=True, prompt=self._get_prompt()
)

return agent