From 4632f8bc1e0318dd9d5057828a2fd8c851efb858 Mon Sep 17 00:00:00 2001
From: Navan Chauhan <navanchauhan@gmail.com>
Date: Sun, 11 Feb 2024 07:52:32 -0700
Subject: more

---
 api-magic/speller_agent.py | 75 ++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 75 insertions(+)
 create mode 100644 api-magic/speller_agent.py

(limited to 'api-magic/speller_agent.py')

diff --git a/api-magic/speller_agent.py b/api-magic/speller_agent.py
new file mode 100644
index 0000000..32d7b67
--- /dev/null
+++ b/api-magic/speller_agent.py
@@ -0,0 +1,75 @@
+import logging
+from typing import Optional, Tuple
+import typing
+from vocode.streaming.agent.chat_gpt_agent import ChatGPTAgent
+from vocode.streaming.models.agent import AgentConfig, AgentType, ChatGPTAgentConfig
+from vocode.streaming.agent.base_agent import BaseAgent, RespondAgent
+from vocode.streaming.agent.factory import AgentFactory
+
+import os
+import sys
+import typing
+from dotenv import load_dotenv
+
+from langchain.memory import ConversationBufferMemory
+from langchain.utilities import SerpAPIWrapper
+
+from langchain.agents import load_tools
+
+from stdout_filterer import RedactPhoneNumbers
+
+load_dotenv()
+
+from langchain.chat_models import ChatOpenAI
+# from langchain.chat_models import BedrockChat
+from langchain.agents import initialize_agent
+from langchain.agents import AgentType as LangAgentType
+
+
+llm = ChatOpenAI(temperature=0, model_name="gpt-3.5-turbo")  # type: ignore
+#llm = BedrockChat(model_id="anthropic.claude-instant-v1", model_kwargs={"temperature":0})  # type: ignore
+memory = ConversationBufferMemory(memory_key="chat_history", return_messages=True)
+    # Logging of LLMChains
+verbose = True
+agent = initialize_agent(
+    tools=[],
+    llm=llm,
+    agent=LangAgentType.CHAT_CONVERSATIONAL_REACT_DESCRIPTION,
+    verbose=verbose,
+    memory=memory,
+)
+
+
+class SpellerAgentConfig(AgentConfig, type="agent_speller"):
+    pass
+
+
+class SpellerAgent(RespondAgent[SpellerAgentConfig]):
+    def __init__(self, agent_config: SpellerAgentConfig):
+        super().__init__(agent_config=agent_config)
+
+    async def respond(
+        self,
+        human_input,
+        conversation_id: str,
+        is_interrupt: bool = False,
+    ) -> Tuple[Optional[str], bool]:
+        print("SpellerAgent: ", human_input)
+        res = agent.run(human_input)
+        return res, False
+
+
+class SpellerAgentFactory(AgentFactory):
+    def create_agent(
+        self, agent_config: AgentConfig, logger: Optional[logging.Logger] = None
+    ) -> BaseAgent:
+        print("Setting up agent", agent_config, agent_config.type)
+        if agent_config.type == AgentType.CHAT_GPT:
+            return ChatGPTAgent(
+                agent_config=typing.cast(ChatGPTAgentConfig, agent_config)
+            )
+        elif agent_config.type == "agent_speller":
+            return SpellerAgent(
+                agent_config=typing.cast(SpellerAgentConfig, agent_config)
+            )
+        raise Exception("Invalid agent config")
\ No newline at end of file
-- 
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