1 files changed, 83 insertions, 0 deletions
diff --git a/server/continuedev/libs/llm/openai_free_trial.py b/server/continuedev/libs/llm/openai_free_trial.py
new file mode 100644
index 00000000..b6e707f9
--- /dev/null
+++ b/server/continuedev/libs/llm/openai_free_trial.py
@@ -0,0 +1,83 @@
+from typing import Callable, List, Optional
+
+from ...core.main import ChatMessage
+from .base import LLM
+from .openai import OpenAI
+from .proxy_server import ProxyServer
+
+
+class OpenAIFreeTrial(LLM):
+    """
+    With the `OpenAIFreeTrial` `LLM`, new users can try out Continue with GPT-4 using a proxy server that securely makes calls to OpenAI using our API key. Continue should just work the first time you install the extension in VS Code.
+
+    Once you are using Continue regularly though, you will need to add an OpenAI API key that has access to GPT-4 by following these steps:
+
+    1. Copy your API key from https://platform.openai.com/account/api-keys
+    2. Open `~/.continue/config.py`. You can do this by using the '/config' command in Continue
+    3. Change the default LLMs to look like this:
+
+    ```python title="~/.continue/config.py"
+    API_KEY = "<API_KEY>"
+    config = ContinueConfig(
+        ...
+        models=Models(
+            default=OpenAIFreeTrial(model="gpt-4", api_key=API_KEY),
+            summarize=OpenAIFreeTrial(model="gpt-3.5-turbo", api_key=API_KEY)
+        )
+    )
+    ```
+
+    The `OpenAIFreeTrial` class will automatically switch to using your API key instead of ours. If you'd like to explicitly use one or the other, you can use the `ProxyServer` or `OpenAI` classes instead.
+
+    These classes support any models available through the OpenAI API, assuming your API key has access, including "gpt-4", "gpt-3.5-turbo", "gpt-3.5-turbo-16k", and "gpt-4-32k".
+    """
+
+    api_key: Optional[str] = None
+
+    llm: Optional[LLM] = None
+
+    def update_llm_properties(self):
+        if self.llm is not None:
+            self.llm.system_message = self.system_message
+
+    async def start(
+        self, write_log: Callable[[str], None] = None, unique_id: Optional[str] = None
+    ):
+        await super().start(write_log=write_log, unique_id=unique_id)
+        if self.api_key is None or self.api_key.strip() == "":
+            self.llm = ProxyServer(
+                model=self.model,
+                verify_ssl=self.verify_ssl,
+                ca_bundle_path=self.ca_bundle_path,
+            )
+        else:
+            self.llm = OpenAI(
+                api_key=self.api_key,
+                model=self.model,
+                verify_ssl=self.verify_ssl,
+                ca_bundle_path=self.ca_bundle_path,
+            )
+
+        await self.llm.start(write_log=write_log, unique_id=unique_id)
+
+    async def stop(self):
+        await self.llm.stop()
+
+    async def _complete(self, prompt: str, options):
+        self.update_llm_properties()
+        return await self.llm._complete(prompt, options)
+
+    async def _stream_complete(self, prompt, options):
+        self.update_llm_properties()
+        resp = self.llm._stream_complete(prompt, options)
+        async for item in resp:
+            yield item
+
+    async def _stream_chat(self, messages: List[ChatMessage], options):
+        self.update_llm_properties()
+        resp = self.llm._stream_chat(messages=messages, options=options)
+        async for item in resp:
+            yield item
+
+    def count_tokens(self, text: str):
+        return self.llm.count_tokens(text)