Preview (#541)

* Strong typing (#533)

* refactor: :recycle: get rid of continuedev.src.continuedev structure

* refactor: :recycle: switching back to server folder

* feat: :sparkles: make config.py imports shorter

* feat: :bookmark: publish as pre-release vscode extension

* refactor: :recycle: refactor and add more completion params to ui

* build: :building_construction: download from preview S3

* fix: :bug: fix paths

* fix: :green_heart: package:pre-release

* ci: :green_heart: more time for tests

* fix: :green_heart: fix build scripts

* fix: :bug: fix import in run.py

* fix: :bookmark: update version to try again

* ci: 💚 Update package.json version [skip ci]

* refactor: :fire: don't check for old extensions version

* fix: :bug: small bug fixes

* fix: :bug: fix config.py import paths

* ci: 💚 Update package.json version [skip ci]

* ci: :green_heart: platform-specific builds test #1

* feat: :green_heart: ship with binary

* fix: :green_heart: fix copy statement to include.exe for windows

* fix: :green_heart: cd extension before packaging

* chore: :loud_sound: count tokens generated

* fix: :green_heart: remove npm_config_arch

* fix: :green_heart: publish as pre-release!

* chore: :bookmark: update version

* perf: :green_heart: hardcode distro paths

* fix: :bug: fix yaml syntax error

* chore: :bookmark: update version

* fix: :green_heart: update permissions and version

* feat: :bug: kill old server if needed

* feat: :lipstick: update marketplace icon for pre-release

* ci: 💚 Update package.json version [skip ci]

* feat: :sparkles: auto-reload for config.py

* feat: :wrench: update default config.py imports

* feat: :sparkles: codelens in config.py

* feat: :sparkles: select model param count from UI

* ci: 💚 Update package.json version [skip ci]

* feat: :sparkles: more model options, ollama error handling

* perf: :zap: don't show server loading immediately

* fix: :bug: fixing small UI details

* ci: 💚 Update package.json version [skip ci]

* feat: :rocket: headers param on LLM class

* fix: :bug: fix headers for openai.;y

* feat: :sparkles: highlight code on cmd+shift+L

* ci: 💚 Update package.json version [skip ci]

* feat: :lipstick: sticky top bar in gui.tsx

* fix: :loud_sound: websocket logging and horizontal scrollbar

* ci: 💚 Update package.json version [skip ci]

* feat: :sparkles: allow AzureOpenAI Service through GGML

* ci: 💚 Update package.json version [skip ci]

* fix: :bug: fix automigration

* ci: 💚 Update package.json version [skip ci]

* ci: :green_heart: upload binaries in ci, download apple silicon

* chore: :fire: remove notes

* fix: :green_heart: use curl to download binary

* fix: :green_heart: set permissions on apple silicon binary

* fix: :green_heart: testing

* fix: :green_heart: cleanup file

* fix: :green_heart: fix preview.yaml

* fix: :green_heart: only upload once per binary

* fix: :green_heart: install rosetta

* ci: :green_heart: download binary after tests

* ci: 💚 Update package.json version [skip ci]

* ci: :green_heart: prepare ci for merge to main

---------

Co-authored-by: GitHub Action <action@github.com>

1 files changed, 77 insertions, 0 deletions

diff --git a/server/continuedev/libs/llm/queued.py b/server/continuedev/libs/llm/queued.py
new file mode 100644
index 00000000..2db749eb
--- /dev/null
+++ b/server/continuedev/libs/llm/queued.py
@@ -0,0 +1,77 @@
+import asyncio
+from typing import Any, List, Union
+
+from pydantic import Field
+
+from ...core.main import ChatMessage
+from .base import LLM, CompletionOptions
+
+
+class QueuedLLM(LLM):
+    """
+    QueuedLLM exists to make up for LLM servers that cannot handle multiple requests at once. It uses a lock to ensure that only one request is being processed at a time.
+
+    If you are already using another LLM class and are experiencing this problem, you can just wrap it with the QueuedLLM class like this:
+
+    ```python title="~/.continue/config.py"
+    from continuedev.libs.llm.queued import QueuedLLM
+
+    config = ContinueConfig(
+        ...
+        models=Models(
+            default=QueuedLLM(llm=<OTHER_LLM_CLASS>)
+        )
+    )
+    ```
+    """
+
+    llm: LLM = Field(..., description="The LLM to wrap with a lock")
+    _lock: asyncio.Lock
+
+    model: str = "queued"
+
+    def dict(self, **kwargs):
+        return self.llm.dict(**kwargs)
+
+    async def start(self, *args, **kwargs):
+        await super().start(*args, **kwargs)
+        await self.llm.start(*args, **kwargs)
+        self._lock = asyncio.Lock()
+        self.model = self.llm.model
+        self.template_messages = self.llm.template_messages
+        self.prompt_templates = self.llm.prompt_templates
+        self.context_length = self.llm.context_length
+
+    async def stop(self):
+        await self.llm.stop()
+
+    def collect_args(self, options: CompletionOptions):
+        return self.llm.collect_args(options)
+
+    def compile_chat_messages(
+        self,
+        options: CompletionOptions,
+        msgs: List[ChatMessage],
+        functions: Union[List[Any], None] = None,
+    ):
+        return self.llm.compile_chat_messages(options, msgs, functions)
+
+    def template_prompt_like_messages(self, prompt: str) -> str:
+        return self.llm.template_prompt_like_messages(prompt)
+
+    async def _complete(self, prompt: str, options: CompletionOptions):
+        async with self._lock:
+            resp = await self.llm._complete(prompt, options)
+            return resp
+
+    async def _stream_complete(self, prompt: str, options: CompletionOptions):
+        async with self._lock:
+            async for chunk in self.llm._stream_complete(prompt, options):
+                yield chunk
+
+    async def _stream_chat(
+        self, messages: List[ChatMessage], options: CompletionOptions
+    ):
+        async with self._lock:
+            async for chunk in self.llm._stream_chat(messages, options):
+                yield chunk