From eabe49552d1ee9fb70d4349a533275c11c677828 Mon Sep 17 00:00:00 2001
From: Aditya Gupta <mail@adityagupta.dev>
Date: Fri, 17 Jul 2026 09:22:18 +0530
Subject: [PATCH] chore: Clean up repo

---
 .../config/ProviderInstancesConfig.tsx        |   1 +
 packages/llm/chat-openai.md                   | 225 ------------------
 2 files changed, 1 insertion(+), 225 deletions(-)
 delete mode 100644 packages/llm/chat-openai.md

diff --git a/apps/gui/src/components/config/ProviderInstancesConfig.tsx b/apps/gui/src/components/config/ProviderInstancesConfig.tsx
index f7873ff..f405581 100644
--- a/apps/gui/src/components/config/ProviderInstancesConfig.tsx
+++ b/apps/gui/src/components/config/ProviderInstancesConfig.tsx
@@ -449,6 +449,7 @@ export function ProviderInstancesConfig({
                 <div className="grid grid-cols-[2fr_3fr] gap-4">
                   <div className="flex flex-col gap-1.5">
                     <Label>Instance Type</Label>
+                    {/* TODO: Change this to choice card */}
                     <Select
                       value={editType}
                       onValueChange={(v) =>
diff --git a/packages/llm/chat-openai.md b/packages/llm/chat-openai.md
deleted file mode 100644
index ac1c5ba..0000000
--- a/packages/llm/chat-openai.md
+++ /dev/null
@@ -1,225 +0,0 @@
-> ## Documentation Index
->
-> Fetch the complete documentation index at: https://docs.langchain.com/llms.txt
-> Use this file to discover all available pages before exploring further.
-
-# OpenAI integrations
-
-> Integrate with OpenAI using LangChain JavaScript.
-
-LangChain integrates with OpenAI and Azure OpenAI through the `@langchain/openai` package.
-
-> [OpenAI](https://en.wikipedia.org/wiki/OpenAI) is American artificial intelligence (AI) research laboratory
-> consisting of the non-profit `OpenAI Incorporated`
-> and its for-profit subsidiary corporation `OpenAI Limited Partnership`.
-> OpenAI conducts AI research with the declared intention of promoting and developing a friendly AI.
-> OpenAI systems run on an `Azure`-based supercomputing platform from `Microsoft`.
-
-> The [OpenAI API](https://platform.openai.com/docs/models) is powered by a diverse set of models with different capabilities and price points.
->
-> [ChatGPT](https://chat.openai.com) is the Artificial Intelligence (AI) chatbot developed by `OpenAI`.
-
-## Installation and setup
-
-- Get an OpenAI api key and set it as an environment variable (`OPENAI_API_KEY`)
-
-## Chat model
-
-See a [usage example](/oss/javascript/integrations/chat/openai).
-
-```typescript theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
-import { ChatOpenAI } from "@langchain/openai";
-```
-
-## LLM
-
-See a [usage example](/oss/javascript/integrations/llms/openai).
-
-<Tip>
-  See [this section for general instructions on installing LangChain packages](/oss/javascript/langchain/install).
-</Tip>
-
-```bash npm theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
-npm install @langchain/openai @langchain/core
-```
-
-```typescript theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
-import { OpenAI } from "@langchain/openai";
-```
-
-## Text embedding model
-
-See a [usage example](/oss/javascript/integrations/embeddings/openai)
-
-```typescript theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
-import { OpenAIEmbeddings } from "@langchain/openai";
-```
-
-## Chain
-
-```typescript theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
-import { OpenAIModerationChain } from "@langchain/classic/chains";
-```
-
-## Middleware
-
-Middleware specifically designed for OpenAI models. Learn more about [middleware](/oss/javascript/langchain/middleware/overview).
-
-| Middleware                                | Description                                               |
-| ----------------------------------------- | --------------------------------------------------------- |
-| [Content moderation](#content-moderation) | Moderate agent traffic using OpenAI's moderation endpoint |
-
-### Content moderation
-
-Moderate agent traffic (user input, model output, and tool results) using OpenAI's moderation endpoint to detect and handle unsafe content. Content moderation is useful for the following:
-
-- Applications requiring content safety and compliance
-- Filtering harmful, hateful, or inappropriate content
-- Customer-facing agents that need safety guardrails
-- Meeting platform moderation requirements
-
-<Info>
-  Learn more about [OpenAI's moderation models](https://platform.openai.com/docs/guides/moderation) and categories.
-</Info>
-
-**API reference:** [`openAIModerationMiddleware`](https://reference.langchain.com/javascript/langchain/index/openAIModerationMiddleware)
-
-```typescript theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
-import { createAgent, openAIModerationMiddleware } from "langchain";
-
-const agent = createAgent({
-  model: "openai:gpt-5.5",
-  tools: [searchTool, databaseTool],
-  middleware: [
-    openAIModerationMiddleware({
-      model: "openai:gpt-5.5",
-      moderationModel: "omni-moderation-latest",
-      checkInput: true,
-      checkOutput: true,
-      exitBehavior: "end",
-    }),
-  ],
-});
-```
-
-<Accordion title="Configuration options">
-  <ParamField body="model" type="string | BaseChatModel" required>
-    OpenAI model to use for moderation. Can be either a model name string (e.g., `"openai:gpt-5.5"`) or a `BaseChatModel` instance. The middleware will use this model's client to access the moderation endpoint.
-  </ParamField>
-
-  <ParamField body="moderationModel" type="ModerationModel" default="omni-moderation-latest">
-    OpenAI moderation model to use. Options: `'omni-moderation-latest'`, `'omni-moderation-2024-09-26'`, `'text-moderation-latest'`, `'text-moderation-stable'`
-  </ParamField>
-
-  <ParamField body="checkInput" type="boolean" default="true">
-    Whether to check user input messages before the model is called
-  </ParamField>
-
-  <ParamField body="checkOutput" type="boolean" default="true">
-    Whether to check model output messages after the model is called
-  </ParamField>
-
-  <ParamField body="checkToolResults" type="boolean" default="false">
-    Whether to check tool result messages before the model is called
-  </ParamField>
-
-  <ParamField body="exitBehavior" type="'error' | 'end' | 'replace'" default="'end'">
-    How to handle violations when content is flagged. Options:
-
-    * `'end'` - End agent execution immediately with a violation message
-    * `'error'` - Throw `OpenAIModerationError` exception
-    * `'replace'` - Replace the flagged content with the violation message and continue
-
-  </ParamField>
-
-  <ParamField body="violationMessage" type="string | undefined">
-    Custom template for violation messages. Supports template variables:
-
-    * `{categories}` - Comma-separated list of flagged categories
-    * `{category_scores}` - JSON string of category scores
-    * `{original_content}` - The original flagged content
-
-    Default: `"I'm sorry, but I can't comply with that request. It was flagged for {categories}."`
-
-  </ParamField>
-</Accordion>
-
-<Accordion title="Full example">
-  The middleware integrates OpenAI's moderation endpoint to check content at different stages:
-
-**Moderation stages:**
-
-- `checkInput` - User messages before model call
-- `checkOutput` - AI messages after model call
-- `checkToolResults` - Tool outputs before model call
-
-**Exit behaviors:**
-
-- `'end'` (default) - Stop execution with violation message
-- `'error'` - Throw exception for application handling
-- `'replace'` - Replace flagged content and continue
-
-```typescript theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
-import { createAgent, openAIModerationMiddleware } from "langchain";
-
-// Basic moderation
-const agent = createAgent({
-  model: "openai:gpt-5.5",
-  tools: [searchTool, customerDataTool],
-  middleware: [
-    openAIModerationMiddleware({
-      model: "openai:gpt-5.5",
-      moderationModel: "omni-moderation-latest",
-      checkInput: true,
-      checkOutput: true,
-    }),
-  ],
-});
-
-// Strict moderation with custom message
-const agentStrict = createAgent({
-  model: "openai:gpt-5.5",
-  tools: [searchTool, customerDataTool],
-  middleware: [
-    openAIModerationMiddleware({
-      model: "openai:gpt-5.5",
-      moderationModel: "omni-moderation-latest",
-      checkInput: true,
-      checkOutput: true,
-      checkToolResults: true,
-      exitBehavior: "error",
-      violationMessage:
-        "Content policy violation detected: {categories}. " +
-        "Please rephrase your request.",
-    }),
-  ],
-});
-
-// Moderation with replacement behavior
-const agentReplace = createAgent({
-  model: "openai:gpt-5.5",
-  tools: [searchTool],
-  middleware: [
-    openAIModerationMiddleware({
-      model: "openai:gpt-5.5",
-      checkInput: true,
-      exitBehavior: "replace",
-      violationMessage: "[Content removed due to safety policies]",
-    }),
-  ],
-});
-```
-
-</Accordion>
-
----
-
-<div className="source-links">
-  <Callout icon="terminal-2">
-    [Connect these docs](/use-these-docs) to Claude, VSCode, and more via MCP for real-time answers.
-  </Callout>
-
-  <Callout icon="edit">
-    [Edit this page on GitHub](https://github.com/langchain-ai/docs/edit/main/src/oss/javascript/integrations/providers/openai.mdx) or [file an issue](https://github.com/langchain-ai/docs/issues/new/choose).
-  </Callout>
-</div>