1 files changed, 0 insertions, 50 deletions
diff --git a/server/continuedev/libs/llm/google_palm_api.py b/server/continuedev/libs/llm/google_palm_api.py
deleted file mode 100644
index 3379fefe..00000000
--- a/server/continuedev/libs/llm/google_palm_api.py
+++ /dev/null
@@ -1,50 +0,0 @@
-from typing import List
-
-import requests
-from pydantic import Field
-
-from ...core.main import ChatMessage
-from .base import LLM
-
-
-class GooglePaLMAPI(LLM):
-    """
-    The Google PaLM API is currently in public preview, so production applications are not supported yet. However, you can [create an API key in Google MakerSuite](https://makersuite.google.com/u/2/app/apikey) and begin trying out the `chat-bison-001` model. Change `~/.continue/config.py` to look like this:
-
-    ```python title="~/.continue/config.py"
-    from continuedev.core.models import Models
-    from continuedev.libs.llm.hf_inference_api import GooglePaLMAPI
-
-    config = ContinueConfig(
-        ...
-        models=Models(
-            default=GooglePaLMAPI(
-                model="chat-bison-001"
-                api_key="<MAKERSUITE_API_KEY>",
-        )
-    )
-    ```
-    """
-
-    api_key: str = Field(..., description="Google PaLM API key")
-
-    model: str = "chat-bison-001"
-
-    async def _stream_complete(self, prompt, options):
-        api_url = f"https://generativelanguage.googleapis.com/v1beta2/models/{self.model}:generateMessage?key={self.api_key}"
-        body = {"prompt": {"messages": [{"content": prompt}]}}
-        response = requests.post(api_url, json=body)
-        yield response.json()["candidates"][0]["content"]
-
-    async def _stream_chat(self, messages: List[ChatMessage], options):
-        msg_lst = []
-        for message in messages:
-            msg_lst.append({"content": message["content"]})
-
-        api_url = f"https://generativelanguage.googleapis.com/v1beta2/models/{self.model}:generateMessage?key={self.api_key}"
-        body = {"prompt": {"messages": msg_lst}}
-        response = requests.post(api_url, json=body)
-        yield {
-            "content": response.json()["candidates"][0]["content"],
-            "role": "assistant",
-        }