AI binding: rename EdgeDB to Gel

packages/ai/README.md

@@ -1,41 +1,41 @@
-# @edgedb/ai
+# @gel/ai
 
 ## Installation
 
-You can install the `@edgedb/ai` package using npm, yarn, or pnpm. Choose the command corresponding to your package manager:
+You can install the `@gel/ai` package using npm, yarn, or pnpm. Choose the command corresponding to your package manager:
 
 ```bash
-npm install @edgedb/ai
-yarn add @edgedb/ai
-pnpm add @edgedb/ai
+npm install @gel/ai
+yarn add @gel/ai
+pnpm add @gel/ai
 ```
 
-## EdgeDB Configuration
+## Gel Configuration
 
 See the AI documentation for detailed guidance on setting up the AI extension and creating a schema for use with the specialized indexes it includes.
 
 ## API Reference
 
-### `createAI(client: Client, options: Partial<AIOptions> = {}): EdgeDBAI`
+### `createAI(client: Client, options: Partial<AIOptions> = {}): GelAI`
 
-Creates an instance of `EdgeDBAI` with the specified client and options.
+Creates an instance of `GelAI` with the specified client and options.
 
-- `client`: An EdgeDB client instance.
+- `client`: An Gel client instance.
 - `options`: Configuration options for the AI model.
-  - `model`: Required. Specifies the AI model to use. This could be some of the OpenAI, Mistral or Anthropic models supported by EdgeDB AI.
+  - `model`: Required. Specifies the AI model to use. This could be some of the OpenAI, Mistral or Anthropic models supported by Gel AI.
   - `prompt`: Optional. Defines the input messages for the AI model. The prompt can have an `ID` or a `name` referencing a stored prompt. The referenced prompt will supply predefined messages. Optionally, include a custom list of messages using the `custom` field. These custom messages will be concatenated with messages from the stored prompt referenced by `id` or `name`. If no `id` or `name` is specified, only the `custom` messages will be used. If no `id`, `name`, or `custom` messages are provided, the built-in system prompt will be used by default.
 
-### `EdgeDBAI`
+### `GelAI`
 
 #### Public Methods
 
-- `withConfig(options: Partial<AIOptions>): EdgeDBAI`
+- `withConfig(options: Partial<AIOptions>): GelAI`
 
-  Returns a new `EdgeDBAI` instance with updated configuration options.
+  Returns a new `GelAI` instance with updated configuration options.
 
-- `withContext(context: Partial<QueryContext>): EdgeDBAI`
+- `withContext(context: Partial<QueryContext>): GelAI`
 
-  Returns a new `EdgeDBAI` instance with an updated query context.
+  Returns a new `GelAI` instance with an updated query context.
 
 - `async queryRag(message: string, context?: QueryContext): Promise<string>`
 
@@ -54,14 +54,14 @@ Creates an instance of `EdgeDBAI` with the specified client and options.
 
 ## Tool Calls
 
-Tool calls are supported by the AI extension. They should be executed on the client side and tool call results should be provided back to the EdgeDB AI.
+Tool calls are supported by the AI extension. They should be executed on the client side and tool call results should be provided back to the Gel AI.
 
 ## Example
 
-The following example demonstrates how to use the `@edgedb/ai` package to query an AI model about astronomy and chemistry.
+The following example demonstrates how to use the `@gel/ai` package to query an AI model about astronomy and chemistry.
 
 ```typescript
-import { createClient } from "edgedb";
+import { createClient } from "gel";
 import { createAI } from "./src/index.js";
 
 const client = createClient({

packages/ai/package.json

@@ -1,12 +1,12 @@
 {
-  "name": "@edgedb/ai",
-  "description": "Helper library for the EdgeDB AI extension",
+  "name": "@gel/ai",
+  "description": "Helper library for the Gel AI extension",
   "version": "0.1.0-alpha.2",
-  "author": "EdgeDB <info@edgedb.com>",
+  "author": "Gel <info@gel.com>",
   "type": "module",
   "repository": {
     "type": "git",
-    "url": "https://github.com/edgedb/edgedb-js.git",
+    "url": "https://github.com/gel/gel-js.git",
     "directory": "packages/ai"
   },
   "main": "./dist/index.js",
@@ -39,11 +39,11 @@
     "jest": "29.7.0",
     "ts-jest": "29.1.4",
     "typescript": "^5.5.2",
-    "edgedb": "*",
+    "gel": "*",
     "@repo/tsconfig": "*"
   },
   "peerDependencies": {
-    "edgedb": "^1.5.0"
+    "gel": "^1.5.0"
   },
   "dependencies": {
     "eventsource-parser": "^1.1.2"

packages/ai/src/core.ts

@@ -1,11 +1,11 @@
-import type { Client } from "edgedb";
+import type { Client } from "gel";
 import { EventSourceParserStream } from "eventsource-parser/stream";
 
-import type { ResolvedConnectConfig } from "edgedb/dist/conUtils.js";
+import type { ResolvedConnectConfig } from "gel/dist/conUtils.js";
 import {
   getAuthenticatedFetch,
   type AuthenticatedFetch,
-} from "edgedb/dist/utils.js";
+} from "gel/dist/utils.js";
 import {
   type AIOptions,
   type QueryContext,
@@ -14,17 +14,17 @@ import {
   type EmbeddingRequest,
   isPromptRequest,
 } from "./types.js";
-import { getHTTPSCRAMAuth } from "edgedb/dist/httpScram.js";
-import { cryptoUtils } from "edgedb/dist/browserCrypto.js";
+import { getHTTPSCRAMAuth } from "gel/dist/httpScram.js";
+import { cryptoUtils } from "gel/dist/browserCrypto.js";
 import { extractMessageFromParsedEvent, handleResponseError } from "./utils.js";
 
 export function createAI(client: Client, options: AIOptions) {
-  return new EdgeDBAI(client, options);
+  return new GelAI(client, options);
 }
 
 const httpSCRAMAuth = getHTTPSCRAMAuth(cryptoUtils);
 
-export class EdgeDBAI {
+export class GelAI {
   /** @internal */
   private readonly authenticatedFetch: Promise<AuthenticatedFetch>;
   private readonly options: AIOptions;
@@ -36,7 +36,7 @@ export class EdgeDBAI {
     options: AIOptions,
     context: Partial<QueryContext> = {},
   ) {
-    this.authenticatedFetch = EdgeDBAI.getAuthenticatedFetch(client);
+    this.authenticatedFetch = GelAI.getAuthenticatedFetch(client);
     this.options = options;
     this.context = {
       query: context.query ?? "",
@@ -54,15 +54,15 @@ export class EdgeDBAI {
   }
 
   withConfig(options: Partial<AIOptions>) {
-    return new EdgeDBAI(
+    return new GelAI(
       this.client,
       { ...this.options, ...options },
       this.context,
     );
   }
 
   withContext(context: Partial<QueryContext>) {
-    return new EdgeDBAI(this.client, this.options, {
+    return new GelAI(this.client, this.options, {
       ...this.context,
       ...context,
     });

packages/ai/src/types.ts

@@ -1,16 +1,16 @@
 export type ChatParticipantRole = "system" | "user" | "assistant" | "tool";
 
-export interface EdgeDBSystemMessage {
+export interface GelSystemMessage {
   role: "system";
   content: string;
 }
 
-export interface EdgeDBUserMessage {
+export interface GelUserMessage {
   role: "user";
   content: { type: "text"; text: string }[];
 }
 
-export interface EdgeDBAssistantMessage {
+export interface GelAssistantMessage {
   role: "assistant";
   content: string;
   tool_calls?: {
@@ -20,22 +20,22 @@ export interface EdgeDBAssistantMessage {
   }[];
 }
 
-export interface EdgeDBToolMessage {
+export interface GelToolMessage {
   role: "tool";
   content: string;
   tool_call_id: string;
 }
 
-export type EdgeDBMessage =
-  | EdgeDBSystemMessage
-  | EdgeDBUserMessage
-  | EdgeDBAssistantMessage
-  | EdgeDBToolMessage;
+export type GelMessage =
+  | GelSystemMessage
+  | GelUserMessage
+  | GelAssistantMessage
+  | GelToolMessage;
 
 export type Prompt =
-  | { name: string; custom?: EdgeDBMessage[] }
-  | { id: string; custom?: EdgeDBMessage[] }
-  | { custom: EdgeDBMessage[] };
+  | { name: string; custom?: GelMessage[] }
+  | { id: string; custom?: GelMessage[] }
+  | { custom: GelMessage[] };
 
 export interface AIOptions {
   model: string;
@@ -55,7 +55,7 @@ export interface RagRequestPrompt {
 }
 
 export interface RagRequestMessages {
-  messages: EdgeDBMessage[];
+  messages: GelMessage[];
   [key: string]: unknown;
 }