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Context Providers

Context Providers allow you to type '@' and see a dropdown of content that can all be fed to the LLM as context. Every context provider is a plugin, which means if you want to reference some source of information that you don't see here, you can request (or build!) a new context provider.

As an example, say you are working on solving a new GitHub Issue. You type '@issue' and select the one you are working on. Continue can now see the issue title and contents. You also know that the issue is related to the files '' and '', so you type '@readme' and '@hello' to find and select them. Now these 3 "Context Items" are displayed inline with the rest of your input.

Context Items

Built-in Context Providers

To use any of the built-in context providers, open ~/.continue/config.json and add it to the contextProviders list.


Type '@code' to reference specific functions or classes from throughout your project.

{ "name": "code" }

Git Diff

Type '@diff' to reference all of the changes you've made to your current branch. This is useful if you want to summarize what you've done or ask for a general review of your work before committing.

{ "name": "diff" }


Type '@terminal' to reference the contents of your IDE's terminal.

{ "name": "terminal" }


Type @docs to index and retrieve snippets from any documentation site. You can add any site by selecting "Add Docs" in the dropdown, then entering the root URL of the documentation site and a title to remember it by. After the site has been indexed, you can type @docs, select your documentation from the dropdown, and Continue will use similarity search to automatically find important sections when answering your question.

{ "name": "docs" }

Continue also pre-indexes a number of common sites, listed here. The embeddings for these sites are hosted by us, but downloaded for local use after the first time. All other indexing occurs entirely locally.

Open Files

Type '@open' to reference the contents of all of your open files. Set onlyPinned to true to only reference pinned files.

{ "name": "open", "params": { "onlyPinned": true } }

Codebase Retrieval

Type '@codebase' to automatically retrieve the most relevant snippets from your codebase. Read more about indexing and retrieval here.

{ "name": "codebase" }


Type '@folder' to use the same retrieval mechanism as '@codebase', but only on a single folder.

{ "name": "folder" }

Type '@search' to reference the results of codebase search, just like the results you would get from VS Code search. This context provider is powered by ripgrep.

{ "name": "search" }


Type '@url' and input a URL, then Continue will convert it to a markdown document to pass to the model.

{ "name": "url" }

File Tree

Type '@tree' to reference the structure of your current workspace. The LLM will be able to see the nested directory structure of your project.

{ "name": "tree" }


Type '@google' to reference the results of a Google search. For example, type "@google python tutorial" if you want to search and discuss ways of learning Python.

"name": "google",
"params": { "serperApiKey": "<your api key>" }

Note: You can get an API key for free at

GitHub Issues

Type '@issue' to reference the conversation in a GitHub issue. Make sure to include your own GitHub personal access token to avoid being rate-limited:

"name": "issue",
"params": {
"repos": [
"owner": "continuedev",
"repo": "continue"
"githubToken": "ghp_xxx"

GitLab Merge Request

Type @gitlab-mr to reference an open MR for this branch on GitLab.


You will need to create a personal access token with the read_api scope. then add the following to your configuration:

"name": "gitlab-mr",
"params": {
"token": "..."

Using Self-Hosted GitLab

You can specify the domain to communicate with by setting the domain parameter in your configurtion. By default this is set to

"name": "gitlab-mr",
"params": {
"token": "...",
"domain": ""

Filtering Comments

If you select some code to be edited, you can have the context provider filter out comments for other files. To enable this feature, set filterComments to true.

Jira Issues

Type '@jira' to reference the conversation in a Jira issue. Make sure to include your own Atlassian API Token.

"name": "jira",
"params": {
"domain": "",
"email": "",
"token ": "ATATT..."

Jira Datacenter Support

This context provider supports both Jira API version 2 and 3. It will use version 3 by default since that's what the cloud version uses, but if you have the datacenter version of Jira, you'll need to set the API Version to 2 using the apiVersion property.

  "params": {
"apiVersion": "2",

Issue Query

By default, the following query will be used to find issues:

assignee = currentUser() AND resolution = Unresolved order by updated DESC

You can override this query by setting the issueQuery parameter.

Code Outline

Type '@outline' to reference the outline of all currently open files. The outline of a files consists of only the function and class definitions in the file. Supported file extensions are '.js', '.mjs', '.go', '.c', '.cc', '.cs', '.cpp', '.el', '.ex', '.elm', '.java', '.ml', '.php', '.ql', '.rb', '.rs', '.ts'

{ "name": "outline" }

Code Highlights

Type '@highlights' to reference the 'highlights' from all currently open files. The highlights are computed using Paul Gauthier's so-called 'repomap' technique in Aider Chat. Supported file extensions are the same as for '@Outline' (behind the scenes, we use the corresponding tree-sitter grammars for language parsing).

{ "name": "highlights" }


Type @postgres to reference the schema of a table, and some sample rows. A dropdown will appear, allowing you to select a specific table, or all tables.

The only required settings are those for creating the database connection: host, port, user, password, and database.

By default, the schema filter is set to public, and the sampleRows is set to 3. You may unset the schema if you want to include tables from all schemas.

Here is a short demo.

"name": "postgres",
"params": {
"host": "localhost",
"port": 5436,
"user": "myuser",
"password": "catsarecool",
"database": "animals",
"schema": "public",
"sampleRows": 3

Database Tables

Type @database to reference table schemas you can use the drop-down or start typeing table names based off of your configuration. Configuration supports multiple databases, allowing you to specify various connection details for PostgreSQL, MySQL, SQLite. Each connection should include a unique name, the connection_type (e.g., postgres, sqlite), and the necessary connection parameters specific to each database type.

"name": "database",
"params": {
"connections": [
"name": "examplePostgres",
"connection_type": "postgres",
"connection": {
"user": "username",
"host": "localhost",
"database": "exampleDB",
"password": "yourPassword",
"port": 5432
"name": "exampleSqlite",
"connection_type": "sqlite",
"connection": {
"filename": "/path/to/your/sqlite/database.db"

Debugger: Local Variables

Type @locals to reference the contents of the local variables with top n level (defaulting to 3) of call stack for that thread. A dropdown will appear, allowing you to select a specific thread to see the local variables in that thread.

"name": "locals",
"params": {
"stackDepth": 3

Requesting Context Providers

Not seeing what you want? Create an issue here to request a new ContextProvider.

Building Your Own Context Provider

Introductory Example

To write your own context provider, you just have to implement the CustomContextProvider interface:

interface CustomContextProvider {
title: string;
displayTitle?: string;
description?: string;
query: string,
extras: ContextProviderExtras,
): Promise<ContextItem[]>;

As an example, let's say you have a set of internal documents that have been indexed in a vector database. You've set up a simple REST API that allows internal users to query and get back relevant snippets. This context provider will send the query to this server and return the results from the vector database. The return type of getContextItems must be an array of objects that have all of the following properties:

  • name: The name of the context item, which will be displayed as a title
  • description: A longer description of the context item
  • content: The actual content of the context item, which will be fed to the LLM as context
const RagContextProvider: CustomContextProvider = {
title: "rag",
displayTitle: "RAG",
"Retrieve snippets from our vector database of internal documents",

getContextItems: async (
query: string,
extras: ContextProviderExtras,
): Promise<ContextItem[]> => {
const response = await fetch("", {
method: "POST",
body: JSON.stringify({ query }),

const results = await response.json();

return => ({
name: result.title,
description: result.title,
content: result.contents,

It can then be added in config.ts like so:

export function modifyConfig(config: Config): Config {
if (!config.contextProviders) {
config.contextProviders = [];
return config;

No modification in config.json is necessary.

Custom Context Providers with Submenu or Query

There are 3 types of context providers: "normal", "query", and "submenu". The "normal" type is the default, and is what we've seen so far.

The "query" type is used when you want to display a text box to the user, and then use the contents of that text box to generate the context items. Built-in examples include "search" and "google". This text is what gets passed to the "query" argument in getContextItems. To implement a "query" context provider, simply set "type": "query" in your custom context provider object.

The "submenu" type is used when you want to display a list of searchable items in the dropdown. Built-in examples include "issue" and "folder". To implement a "submenu" context provider, set "type": "submenu" and implement the loadSubmenuItems and getContextItems functions. Here is an example that shows a list of all README files in the current workspace:

const ReadMeContextProvider: CustomContextProvider = {
title: "readme",
displayTitle: "README",
description: "Reference files in your workspace",
type: "submenu",

getContextItems: async (
query: string,
extras: ContextProviderExtras,
): Promise<ContextItem[]> => {
// 'query' is the filepath of the README selected from the dropdown
const content = await extras.ide.readFile(query);
return [
name: getFolder(query),
description: getFolderAndBasename(query),

loadSubmenuItems: async (
args: LoadSubmenuItemsArgs,
): Promise<ContextSubmenuItem[]> => {
// Filter all workspace files for READMEs
const allFiles = await args.ide.listWorkspaceContents();
const readmes = allFiles.filter((filepath) =>

// Return the items that will be shown in the dropdown
return => {
return {
id: filepath,
title: getFolder(filepath),
description: getFolderAndBasename(filepath),

export function modifyConfig(config: Config): Config {
if (!config.contextProviders) {
config.contextProviders = [];
return config;

function getFolder(path: string): string {
return path.split(/[\/\\]/g).slice(-2)[0];

function getFolderAndBasename(path: string): string {
return path

The flow of information in the above example is as follows:

  1. The user types @readme and selects it from the dropdown, now displaying the submenu where they can search for any item returned by loadSubmenuItems.
  2. The user selects one of the READMEs in the submenu, enters the rest of their input, and presses enter.
  3. The id of the chosen ContextSubmenuItem is passed to getContextItems as the query argument. In this case it is the filepath of the README.
  4. The getContextItems function can then use the query to retrieve the full contents of the README and format the content before returning the context item which will be included in the prompt.

Importing outside modules

To include outside Node modules in your config.ts, run npm install <module_name> from the ~/.continue directory, and then import them in config.ts.

Continue will use esbuild to bundle your config.ts and any dependencies into a single Javascript file. The exact configuration used can be found here.

CustomContextProvider Reference

  • title: An identifier for the context provider
  • displayTitle (optional): The title displayed in the dropdown
  • description (optional): The longer description displayed in the dropdown when hovered
  • type (optional): The type of context provider. Options are "normal", "query", and "submenu". Defaults to "normal".
  • getContextItems: A function that returns the documents to include in the prompt. It should return a list of ContextItems, and is given access to the following arguments:
    • extras.fullInput: A string representing the user's full input to the text box. This can be used for example to generate an embedding to compare against a set of other embedded documents
    • extras.embeddingsProvider: The embeddings provider has an embed function that will convert text (such as fullInput) to an embedding
    • extras.llm: The current default LLM, which you can use to make completion requests
    • extras.ide: An instance of the IDE class, which lets you gather various sources of information from the IDE, including the contents of the terminal, the list of open files, or any warnings in the currently open file.
    • query: (not currently used) A string representing the query
  • loadSubmenuItems (optional): A function that returns a list of ContextSubmenuItems to display in a submenu. It is given access to an IDE, the same that is passed to getContextItems.

Writing Context Providers in Other Languages

If you'd like to write a context provider in a language other than TypeScript, you can use the "http" context provider to call a server that hosts your own code. Add the context provider to config.json like this:

"name": "http",
"params": {
"url": "",
"title": "http",
"description": "Custom HTTP Context Provider",
"displayTitle": "My Custom Context"

Then, create a server that responds to requests as are made from HttpContextProvider.ts. See the hello endpoint in for an example that uses FastAPI.