support Claude 3 Sonnet

2024-03-05 12:24:30 -05:00 · 2024-03-05 12:24:30 -05:00 · 7b62147a58
commit 7b62147a58
parent f0ff9b21ba
10 changed files with 573 additions and 20 deletions
--- a/backend/config.py
+++ b/backend/config.py
@ -3,6 +3,7 @@
 # TODO: Should only be set to true when value is 'True', not any abitrary truthy value
 import os

+ANTHROPIC_API_KEY = os.environ.get("ANTHROPIC_API_KEY", None)

 SHOULD_MOCK_AI_RESPONSE = bool(os.environ.get("MOCK", False))

--- a/backend/evals/core.py
+++ b/backend/evals/core.py
@ -1,26 +1,40 @@
 import os
+from config import ANTHROPIC_API_KEY

-from llm import stream_openai_response
+from llm import stream_claude_response, stream_openai_response
 from prompts import assemble_prompt
 from prompts.types import Stack


 async def generate_code_core(image_url: str, stack: Stack) -> str:
+    model = "CLAUDE"
+
    prompt_messages = assemble_prompt(image_url, stack)
    openai_api_key = os.environ.get("OPENAI_API_KEY")
+    anthropic_api_key = ANTHROPIC_API_KEY
    openai_base_url = None

    async def process_chunk(content: str):
        pass

-    if not openai_api_key:
-        raise Exception("OpenAI API key not found")
+    if model == "CLAUDE":
+        if not anthropic_api_key:
+            raise Exception("Anthropic API key not found")

-    completion = await stream_openai_response(
-        prompt_messages,
-        api_key=openai_api_key,
-        base_url=openai_base_url,
-        callback=lambda x: process_chunk(x),
-    )
+        completion = await stream_claude_response(
+            prompt_messages,
+            api_key=anthropic_api_key,
+            callback=lambda x: process_chunk(x),
+        )
+    else:
+        if not openai_api_key:
+            raise Exception("OpenAI API key not found")
+
+        completion = await stream_openai_response(
+            prompt_messages,
+            api_key=openai_api_key,
+            base_url=openai_base_url,
+            callback=lambda x: process_chunk(x),
+        )

    return completion
--- a/backend/llm.py
+++ b/backend/llm.py
@ -1,8 +1,18 @@
-from typing import Awaitable, Callable, List
+from typing import Awaitable, Callable, List, cast
+from anthropic import AsyncAnthropic
 from openai import AsyncOpenAI
 from openai.types.chat import ChatCompletionMessageParam, ChatCompletionChunk

 MODEL_GPT_4_VISION = "gpt-4-vision-preview"
+MODEL_CLAUDE_SONNET = "claude-3-sonnet-20240229"
+MODEL_CLAUDE_OPUS = "claude-3-opus-20240229"
+
+
+# Keep in sync with frontend (lib/models.ts)
+CODE_GENERATION_MODELS = [
+    "gpt_4_vision",
+    "claude_3_sonnet",
+]


 async def stream_openai_response(
@ -34,3 +44,47 @@ async def stream_openai_response(
    await client.close()

    return full_response
+
+
+async def stream_claude_response(
+    messages: List[ChatCompletionMessageParam],
+    api_key: str,
+    callback: Callable[[str], Awaitable[None]],
+) -> str:
+
+    client = AsyncAnthropic(api_key=api_key)
+
+    # Base parameters
+    model = MODEL_CLAUDE_SONNET
+    max_tokens = 4096
+    temperature = 0.0
+
+    # Translate OpenAI messages to Claude messages
+    system_prompt = cast(str, messages[0]["content"])
+    claude_messages = [dict(message) for message in messages[1:]]
+    for message in claude_messages:
+        if not isinstance(message["content"], list):
+            continue
+
+        for content in message["content"]:  # type: ignore
+            if content["type"] == "image_url":
+                content["type"] = "image"
+                content["source"] = {
+                    "type": "base64",
+                    "media_type": "image/png",  # TODO: Automatically detect media type
+                    "data": content["image_url"]["url"].split(",")[1],  # type: ignore
+                }
+                del content["image_url"]
+
+    async with client.messages.stream(
+        model=model,
+        max_tokens=max_tokens,
+        temperature=temperature,
+        system=system_prompt,
+        messages=claude_messages,  # type: ignore
+    ) as stream:
+        async for text in stream.text_stream:
+            await callback(text)
+
+    response = await stream.get_final_message()
+    return response.content[0].text
--- a/backend/poetry.lock
+++ b/backend/poetry.lock
@ -1,5 +1,29 @@
 # This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.

+[[package]]
+name = "anthropic"
+version = "0.18.0"
+description = "The official Python library for the anthropic API"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "anthropic-0.18.0-py3-none-any.whl", hash = "sha256:af2a65a48ba4661e3902b49f96710d168782af9deb06d58c12f25e53448fb570"},
+    {file = "anthropic-0.18.0.tar.gz", hash = "sha256:80a6134f6562792be8ec30f743e2211476cb1e1f59b01795b901f099ae854825"},
+]
+
+[package.dependencies]
+anyio = ">=3.5.0,<5"
+distro = ">=1.7.0,<2"
+httpx = ">=0.23.0,<1"
+pydantic = ">=1.9.0,<3"
+sniffio = "*"
+tokenizers = ">=0.13.0"
+typing-extensions = ">=4.7,<5"
+
+[package.extras]
+bedrock = ["boto3 (>=1.28.57)", "botocore (>=1.31.57)"]
+vertex = ["google-auth (>=2,<3)"]
+
 [[package]]
 name = "anyio"
 version = "3.7.1"
@ -61,6 +85,105 @@ files = [
    {file = "cfgv-3.4.0.tar.gz", hash = "sha256:e52591d4c5f5dead8e0f673fb16db7949d2cfb3f7da4582893288f0ded8fe560"},
 ]

+[[package]]
+name = "charset-normalizer"
+version = "3.3.2"
+description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
+optional = false
+python-versions = ">=3.7.0"
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+    {file = "tokenizers-0.15.2.tar.gz", hash = "sha256:e6e9c6e019dd5484be5beafc775ae6c925f4c69a3487040ed09b45e13df2cb91"},
+]
+
+[package.dependencies]
+huggingface_hub = ">=0.16.4,<1.0"
+
+[package.extras]
+dev = ["tokenizers[testing]"]
+docs = ["setuptools_rust", "sphinx", "sphinx_rtd_theme"]
+testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests"]
+
 [[package]]
 name = "tomli"
 version = "2.0.1"
@ -609,6 +948,23 @@ files = [
    {file = "typing_extensions-4.8.0.tar.gz", hash = "sha256:df8e4339e9cb77357558cbdbceca33c303714cf861d1eef15e1070055ae8b7ef"},
 ]

+[[package]]
+name = "urllib3"
+version = "2.2.1"
+description = "HTTP library with thread-safe connection pooling, file post, and more."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "urllib3-2.2.1-py3-none-any.whl", hash = "sha256:450b20ec296a467077128bff42b73080516e71b56ff59a60a02bef2232c4fa9d"},
+    {file = "urllib3-2.2.1.tar.gz", hash = "sha256:d0570876c61ab9e520d776c38acbbb5b05a776d3f9ff98a5c8fd5162a444cf19"},
+]
+
+[package.extras]
+brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
+h2 = ["h2 (>=4,<5)"]
+socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
+zstd = ["zstandard (>=0.18.0)"]
+
 [[package]]
 name = "uvicorn"
 version = "0.25.0"
@ -732,4 +1088,4 @@ files = [
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.10"
-content-hash = "f364973209a56780ddca65ae126ebd42f024b1bd8c75e0132ecaaea8057c45e4"
+content-hash = "6fa98703309c862dd33d9d9ce210b71bfcb37e7d7ff030198d9044d83c249060"
--- a/backend/pyproject.toml
+++ b/backend/pyproject.toml
@ -15,6 +15,7 @@ python-dotenv = "^1.0.0"
 beautifulsoup4 = "^4.12.2"
 httpx = "^0.25.1"
 pre-commit = "^3.6.2"
+anthropic = "^0.18.0"

 [tool.poetry.group.dev.dependencies]
 pytest = "^7.4.3"
--- a/backend/routes/generate_code.py
+++ b/backend/routes/generate_code.py
@ -2,8 +2,12 @@ import os
 import traceback
 from fastapi import APIRouter, WebSocket
 import openai
-from config import IS_PROD, SHOULD_MOCK_AI_RESPONSE
-from llm import stream_openai_response
+from config import ANTHROPIC_API_KEY, IS_PROD, SHOULD_MOCK_AI_RESPONSE
+from llm import (
+    CODE_GENERATION_MODELS,
+    stream_claude_response,
+    stream_openai_response,
+)
 from openai.types.chat import ChatCompletionMessageParam
 from mock_llm import mock_completion
 from typing import Dict, List, cast, get_args
@ -60,7 +64,16 @@ async def stream_code(websocket: WebSocket):
    generated_code_config = ""
    if "generatedCodeConfig" in params and params["generatedCodeConfig"]:
        generated_code_config = params["generatedCodeConfig"]
-    print(f"Generating {generated_code_config} code")
+
+    # Read the model from the request. Fall back to default if not provided.
+    code_generation_model = params.get("codeGenerationModel", "gpt_4_vision")
+    if code_generation_model not in CODE_GENERATION_MODELS:
+        await throw_error(f"Invalid model: {code_generation_model}")
+        raise Exception(f"Invalid model: {code_generation_model}")
+
+    print(
+        f"Generating {generated_code_config} code using {code_generation_model} model..."
+    )

    # Get the OpenAI API key from the request. Fall back to environment variable if not provided.
    # If neither is provided, we throw an error.
@ -196,12 +209,25 @@ async def stream_code(websocket: WebSocket):
        completion = await mock_completion(process_chunk)
    else:
        try:
-            completion = await stream_openai_response(
-                prompt_messages,
-                api_key=openai_api_key,
-                base_url=openai_base_url,
-                callback=lambda x: process_chunk(x),
-            )
+            if code_generation_model == "claude_3_sonnet":
+                if not ANTHROPIC_API_KEY:
+                    await throw_error(
+                        "No Anthropic API key found. Please add it to backend/.env"
+                    )
+                    raise Exception("No Anthropic key")
+
+                completion = await stream_claude_response(
+                    prompt_messages,
+                    api_key=ANTHROPIC_API_KEY,
+                    callback=lambda x: process_chunk(x),
+                )
+            else:
+                completion = await stream_openai_response(
+                    prompt_messages,
+                    api_key=openai_api_key,
+                    base_url=openai_base_url,
+                    callback=lambda x: process_chunk(x),
+                )
        except openai.AuthenticationError as e:
            print("[GENERATE_CODE] Authentication failed", e)
            error_message = (
--- a/frontend/src/App.tsx
+++ b/frontend/src/App.tsx
@ -35,6 +35,8 @@ import { extractHistoryTree } from "./components/history/utils";
 import toast from "react-hot-toast";
 import ImportCodeSection from "./components/ImportCodeSection";
 import { Stack } from "./lib/stacks";
+import { CodeGenerationModel } from "./lib/models";
+import ModelSettingsSection from "./components/ModelSettingsSection";

 const IS_OPENAI_DOWN = false;

@ -56,6 +58,7 @@ function App() {
      isImageGenerationEnabled: true,
      editorTheme: EditorTheme.COBALT,
      generatedCodeConfig: Stack.HTML_TAILWIND,
+      codeGenerationModel: CodeGenerationModel.GPT_4_VISION,
      // Only relevant for hosted version
      isTermOfServiceAccepted: false,
      accessCode: null,
@ -63,6 +66,10 @@ function App() {
    "setting"
  );

+  // Code generation model from local storage or the default value
+  const selectedCodeGenerationModel =
+    settings.codeGenerationModel || CodeGenerationModel.GPT_4_VISION;
+
  // App history
  const [appHistory, setAppHistory] = useState<History>([]);
  // Tracks the currently shown version from app history
@ -291,6 +298,13 @@ function App() {
    }));
  }

+  function setCodeGenerationModel(codeGenerationModel: CodeGenerationModel) {
+    setSettings((prev) => ({
+      ...prev,
+      codeGenerationModel,
+    }));
+  }
+
  function importFromCode(code: string, stack: Stack) {
    setIsImportedFromCode(true);

@ -334,6 +348,14 @@ function App() {
            }
          />

+          <ModelSettingsSection
+            codeGenerationModel={selectedCodeGenerationModel}
+            setCodeGenerationModel={setCodeGenerationModel}
+            shouldDisableUpdates={
+              appState === AppState.CODING || appState === AppState.CODE_READY
+            }
+          />
+
          {IS_RUNNING_ON_CLOUD &&
            !(settings.openAiApiKey || settings.accessCode) && (
              <OnboardingNote />
--- a/frontend/src/components/ModelSettingsSection.tsx
+++ b/frontend/src/components/ModelSettingsSection.tsx
@ -0,0 +1,65 @@
+import {
+  Select,
+  SelectContent,
+  SelectGroup,
+  SelectItem,
+  SelectTrigger,
+} from "./ui/select";
+import {
+  CODE_GENERATION_MODEL_DESCRIPTIONS,
+  CodeGenerationModel,
+} from "../lib/models";
+import { Badge } from "./ui/badge";
+
+interface Props {
+  codeGenerationModel: CodeGenerationModel;
+  setCodeGenerationModel: (codeGenerationModel: CodeGenerationModel) => void;
+  shouldDisableUpdates?: boolean;
+}
+
+function ModelSettingsSection({
+  codeGenerationModel,
+  setCodeGenerationModel,
+  shouldDisableUpdates = false,
+}: Props) {
+  return (
+    <div className="flex flex-col gap-y-2 justify-between text-sm">
+      <div className="grid grid-cols-3 items-center gap-4">
+        <span>Model:</span>
+        <Select
+          value={codeGenerationModel}
+          onValueChange={(value: string) =>
+            setCodeGenerationModel(value as CodeGenerationModel)
+          }
+          disabled={shouldDisableUpdates}
+        >
+          <SelectTrigger className="col-span-2" id="output-settings-js">
+            <span className="font-semibold">
+              {CODE_GENERATION_MODEL_DESCRIPTIONS[codeGenerationModel].name}
+            </span>
+          </SelectTrigger>
+          <SelectContent>
+            <SelectGroup>
+              {Object.values(CodeGenerationModel).map((model) => (
+                <SelectItem key={model} value={model}>
+                  <div className="flex items-center">
+                    <span className="font-semibold">
+                      {CODE_GENERATION_MODEL_DESCRIPTIONS[model].name}
+                    </span>
+                    {CODE_GENERATION_MODEL_DESCRIPTIONS[model].inBeta && (
+                      <Badge className="ml-2" variant="secondary">
+                        Beta
+                      </Badge>
+                    )}
+                  </div>
+                </SelectItem>
+              ))}
+            </SelectGroup>
+          </SelectContent>
+        </Select>
+      </div>
+    </div>
+  );
+}
+
+export default ModelSettingsSection;
--- a/frontend/src/lib/models.ts
+++ b/frontend/src/lib/models.ts
@ -0,0 +1,12 @@
+// Keep in sync with backend (llm.py)
+export enum CodeGenerationModel {
+  GPT_4_VISION = "gpt_4_vision",
+  CLAUDE_3_SONNET = "claude_3_sonnet",
+}
+
+export const CODE_GENERATION_MODEL_DESCRIPTIONS: {
+  [key in CodeGenerationModel]: { name: string; inBeta: boolean };
+} = {
+  gpt_4_vision: { name: "GPT-4 Vision", inBeta: false },
+  claude_3_sonnet: { name: "Claude 3 Sonnet", inBeta: true },
+};
--- a/frontend/src/types.ts
+++ b/frontend/src/types.ts
@ -1,4 +1,5 @@
 import { Stack } from "./lib/stacks";
+import { CodeGenerationModel } from "./lib/models";

 export enum EditorTheme {
  ESPRESSO = "espresso",
@ -12,6 +13,7 @@ export interface Settings {
  isImageGenerationEnabled: boolean;
  editorTheme: EditorTheme;
  generatedCodeConfig: Stack;
+  codeGenerationModel: CodeGenerationModel;
  // Only relevant for hosted version
  isTermOfServiceAccepted: boolean;
  accessCode: string | null;