add google ai agent

pyproject.toml

@@ -39,6 +39,7 @@ nltk = "^3.8.1"
 
 # LLM Providers
 groq = { version = "^0.9.0", optional = true }
+google-generativeai = {version = "^0.7.2", optional = true}
 
 # Synthesizers
 google-cloud-texttospeech = { version = "^2.16.3", optional = true }
@@ -92,6 +93,7 @@ synthesizers = [
 ]
 transcribers = ["google-cloud-speech"]
 telephony = ["twilio", "vonage"]
+llms = ["groq", "google-generativeai"]
 langchain = ["langchain", "langchain-community"]
 langchain-extras = ["langchain-openai", "langchain-anthropic", "langchain-google-vertexai"]
 all = [
@@ -107,6 +109,7 @@ all = [
     "langchain-google-vertexai",
     "cartesia",
     "groq",
+    "google-generativeai",
     "livekit"
 ]
 

vocode/streaming/agent/google_agent.py

@@ -0,0 +1,115 @@
+import os
+from typing import Any, AsyncGenerator, Dict
+
+import google.generativeai as genai
+from google.generativeai.generative_models import _USER_ROLE
+from google.generativeai.types import content_types, generation_types
+import grpc
+
+grpc.aio.init_grpc_aio()  # we initialize gRPC aio to avoid this issue: https://github.com/google-gemini/generative-ai-python/issues/207
+import sentry_sdk
+from loguru import logger
+
+from vocode.streaming.action.abstract_factory import AbstractActionFactory
+from vocode.streaming.action.default_factory import DefaultActionFactory
+from vocode.streaming.agent.base_agent import GeneratedResponse, RespondAgent, StreamedResponse
+from vocode.streaming.agent.streaming_utils import collate_response_async, stream_response_async
+from vocode.streaming.models.agent import GoogleAIAgentConfig
+from vocode.streaming.models.message import BaseMessage, LLMToken
+from vocode.streaming.vector_db.factory import VectorDBFactory
+from vocode.utils.sentry_utils import CustomSentrySpans, sentry_create_span
+
+
+class GoogleAIAgent(RespondAgent[GoogleAIAgentConfig]):
+    genai_chat: genai.ChatSession
+
+    def __init__(
+        self,
+        agent_config: GoogleAIAgentConfig,
+        action_factory: AbstractActionFactory = DefaultActionFactory(),
+        vector_db_factory=VectorDBFactory(),
+        **kwargs,
+    ):
+        super().__init__(
+            agent_config=agent_config,
+            action_factory=action_factory,
+            **kwargs,
+        )
+        if not os.environ.get("GOOGLE_AI_API_KEY"):
+            raise ValueError("GOOGLE_AI_API_KEY must be set in environment or passed in")
+        self.genai_config = genai.configure(api_key=os.environ.get("GOOGLE_AI_API_KEY"))
+        self.genai_model = genai.GenerativeModel(
+            model_name=agent_config.model_name,
+            generation_config=genai.GenerationConfig(
+                max_output_tokens=agent_config.max_tokens,
+                temperature=agent_config.temperature,
+            ),
+        )
+        prompt_preamble = content_types.to_content(agent_config.prompt_preamble)
+        prompt_preamble.role = _USER_ROLE
+        self.genai_chat = self.genai_model.start_chat(history=[prompt_preamble])
+
+    async def _create_google_ai_stream(self, message: str):
+        return await self.genai_chat.send_message_async(message)
+
+    async def google_ai_get_tokens(
+        self, gen: generation_types.AsyncGenerateContentResponse
+    ) -> AsyncGenerator[str, None]:
+        async for msg in gen:
+            yield msg.text
+
+    async def generate_response(
+        self,
+        human_input,
+        conversation_id: str,
+        is_interrupt: bool = False,
+        bot_was_in_medias_res: bool = False,
+    ) -> AsyncGenerator[GeneratedResponse, None]:
+        if not self.transcript:
+            raise ValueError("A transcript is not attached to the agent")
+        try:
+            first_sentence_total_span = sentry_create_span(
+                sentry_callable=sentry_sdk.start_span, op=CustomSentrySpans.LLM_FIRST_SENTENCE_TOTAL
+            )
+
+            ttft_span = sentry_create_span(
+                sentry_callable=sentry_sdk.start_span, op=CustomSentrySpans.TIME_TO_FIRST_TOKEN
+            )
+            stream = await self._create_google_ai_stream(human_input)
+        except Exception as e:
+            logger.error(
+                f"Error while hitting Google AI with history: {self.genai_chat.history}",
+                exc_info=True,
+            )
+            raise e
+
+        response_generator = collate_response_async
+
+        using_input_streaming_synthesizer = (
+            self.conversation_state_manager.using_input_streaming_synthesizer()
+        )
+        if using_input_streaming_synthesizer:
+            response_generator = stream_response_async
+        async for message in response_generator(
+            conversation_id=conversation_id,
+            gen=self.google_ai_get_tokens(stream),
+            sentry_span=ttft_span,
+        ):
+            if first_sentence_total_span:
+                first_sentence_total_span.finish()
+
+            ResponseClass = (
+                StreamedResponse if using_input_streaming_synthesizer else GeneratedResponse
+            )
+            MessageType = LLMToken if using_input_streaming_synthesizer else BaseMessage
+
+            if isinstance(message, str):
+                yield ResponseClass(
+                    message=MessageType(text=message),
+                    is_interruptible=True,
+                )
+            else:
+                yield ResponseClass(
+                    message=message,
+                    is_interruptible=True,
+                )

vocode/streaming/models/agent.py

@@ -31,6 +31,8 @@
 ANTHROPIC_CLAUDE_3_HAIKU_MODEL_NAME = "claude-3-haiku-20240307"
 ANTHROPIC_CLAUDE_3_SONNET_MODEL_NAME = "claude-3-sonnet-20240229"
 ANTHROPIC_CLAUDE_3_OPUS_MODEL_NAME = "claude-3-opus-20240229"
+GOOGLE_AI_GEMINI_FLASH_MODEL_NAME = "gemini-1.5-flash"
+GOOGLE_AI_GEMINI_PRO_MODEL_NAME = "gemini-1.5-pro"
 GROQ_DEFAULT_MODEL_NAME = "llama3-70b-8192"
 GROQ_LLAMA3_8B_MODEL_NAME = "llama3-8b-8192"
 GROQ_LLAMA3_70B_MODEL_NAME = "llama3-70b-8192"
@@ -51,6 +53,7 @@ class AgentType(str, Enum):
     GPT4ALL = "agent_gpt4all"
     LLAMACPP = "agent_llamacpp"
     GROQ = "agent_groq"
+    GOOGLE_AI = "agent_google_ai"
     INFORMATION_RETRIEVAL = "agent_information_retrieval"
     RESTFUL_USER_IMPLEMENTED = "agent_restful_user_implemented"
     WEBSOCKET_USER_IMPLEMENTED = "agent_websocket_user_implemented"
@@ -168,6 +171,13 @@ class GroqAgentConfig(AgentConfig, type=AgentType.GROQ.value):  # type: ignore
     first_response_filler_message: Optional[str] = None
 
 
+class GoogleAIAgentConfig(AgentConfig, type=AgentType.GOOGLE_AI.value):  # type: ignore
+    prompt_preamble: str
+    model_name: str = GOOGLE_AI_GEMINI_FLASH_MODEL_NAME
+    max_tokens: int = LLM_AGENT_DEFAULT_MAX_TOKENS
+    temperature: float = LLM_AGENT_DEFAULT_TEMPERATURE
+
+
 class InformationRetrievalAgentConfig(
     AgentConfig, type=AgentType.INFORMATION_RETRIEVAL.value  # type: ignore
 ):