Migrating Config to YAML
Continue's YAML configuration format provides more readable, maintainable, consistent configuration files, as well as new configuration options and removal of some old configuration options. YAML is the preferred format and will be used to integrate with future Continue products. Below is a brief guide for migration from config.json to config.yaml.
See also
Create YAML File
Create a
config.yaml file in your Continue Global Directory (~/.continue on Mac, %USERPROFILE%\.continue) alongside your current config.json file. If a config.yaml file is present, it will be loaded instead of config.json.Give your configuration a
name and a version:config.yaml
name: my-configurationversion: 0.0.1schema: v1
Models
Add all model configurations in
config.json, including models in models, tabAutocompleteModel, embeddingsProvider, and reranker, to the models section of your new YAML config file. A new roles YAML field specifies which roles a model can be used for, with possible values chat, autocomplete, embed, rerank, edit, apply, summarize.-
modelsin config should haveroles: [chat] -
tabAutocompleteModel(s) in config should haveroles: [autocomplete] -
embeddingsProviderin config should haveroles: [embed] -
rerankerin config should haveroles: [rerank] -
experimental.modelRolesis replaced by simply adding roles to the modelinlineEdit-> e.g.roles: [chat, edit]applyCodeBlock-> e.g.roles: [chat, apply]
Model-level
requestOptions remain, with minor changes. See YAML Continue Config ReferenceModel-level
completionOptions are replaced by defaultCompletionOptions, with minor changes. See YAML Continue Config ReferenceBefore
config.json
{
"models": [
{
"title": "GPT-4",
"provider": "openai",
"model": "gpt-4",
"apiKey": "<YOUR_OPENAI_API_KEY>",
"completionOptions": { "temperature": 0.5, "maxTokens": 2000 }
},
{ "title": "Ollama", "provider": "ollama", "model": "AUTODETECT" },
{
"title": "My Open AI Compatible Model",
"provider": "openai",
"apiBase": "http://3.3.3.3/v1",
"model": "my-openai-compatible-model",
"requestOptions": { "headers": { "X-Auth-Token": "<API_KEY>" } }
}
],
"tabAutocompleteModel": {
"title": "My Starcoder",
"provider": "ollama",
"model": "starcoder2:3b"
},
"embeddingsProvider": {
"provider": "openai",
"model": "text-embedding-ada-002",
"apiKey": "<YOUR_OPENAI_API_KEY>",
"maxEmbeddingChunkSize": 256,
"maxEmbeddingBatchSize": 5
},
"reranker": {
"name": "voyage",
"params": { "model": "rerank-2", "apiKey": "<YOUR_VOYAGE_API_KEY>" }
}
}
After
config.yaml
models:
- name: GPT-4
provider: openai
model: gpt-4
apiKey: <YOUR_OPENAI_API_KEY>
defaultCompletionOptions:
temperature: 0.5
maxTokens: 2000
roles:
- chat
- edit
- name: My Voyage Reranker
provider: voyage
model: rerank-2
apiKey: <YOUR_VOYAGE_API_KEY>
roles:
- rerank
- name: My Starcoder
provider: ollama
model: starcoder2:3b
roles:
- autocomplete
- name: My Ada Embedder
provider: openai
model: text-embedding-ada-002
apiKey: <YOUR_OPENAI_API_KEY>
roles:
- embed
embedOptions:
maxChunkSize: 256
maxBatchSize: 5
- name: Ollama Autodetect
provider: ollama
model: AUTODETECT
roles:
- chat
- name: My Open AI Compatible Model
provider: openai
model: my-openai-compatible-model
apiBase: http://3.3.3.3/v1
requestOptions:
headers:
X-Auth-Token: <API_KEY>
roles:
- chat
- apply
Note that the
repoMapFileSelection experimental model role has been deprecated and is only available in config.json.Context Providers
The JSON
contextProviders field is replaced by the YAML context array.- JSON
namemaps toprovider - JSON
paramsmap toparams
Before
config.json
{
"contextProviders": [
{ "name": "docs" },
{ "name": "codebase", "params": { "nRetrieve": 30, "nFinal": 3 } },
{ "name": "diff", "params": {} }
]
}
After
config.yaml
context:
- provider: docs
- provider: codebase
params:
nRetrieve: 30
nFinal: 3
- provider: diff
System Message
The
systemMessage property has been replaced with a rules property that takes an array of strings.Before
config.json
{
"systemMessage": "Always give concise responses"
}
After
config.yaml
rules:
- Always give concise responses
Prompts
Rather than with
customCommands, you can now use the prompts field to define custom prompts.Before
config.json
{
"customCommands": [
{
"name": "check",
"description": "Check for mistakes in my code",
"prompt": "{{{ input }}}\n\nPlease read the highlighted code and check for any mistakes. You should look for the following, and be extremely vigilant:\n- Syntax errors\n- Logic errors\n- Security vulnerabilities\n- Performance issues\n- Anything else that looks wrong\n\nOnce you find an error, please explain it as clearly as possible, but without using extra words. For example, instead of saying 'I think there is a syntax error on line 5', you should say 'Syntax error on line 5'. Give your answer as one bullet point per mistake found."
}
]
}
After
config.yaml
prompts:
- name: check
description: Check for mistakes in my code
prompt: |
Please read the highlighted code and check for any mistakes. You should look for the following, and be extremely vigilant:
- Syntax errors
- Logic errors
- Security vulnerabilities
- Performance issues
- Anything else that looks wrong
Once you find an error, please explain it as clearly as possible, but without using extra words. For example, instead of saying 'I think there is a syntax error on line 5', you should say 'Syntax error on line 5'. Give your answer as one bullet point per mistake found.
Documentation
Documentation is largely the same, but the
title property has been replaced with name. The startUrl, rootUrl, and faviconUrl properties remain.Before
config.json
{
"docs": [
{
"startUrl": "https://docs.nestjs.com/",
"title": "nest.js"
},
{
"startUrl": "https://mysite.com/docs/",
"title": "My site"
}
]
}
After
config.yaml
docs:
- name: nest.js
startUrl: https://docs.nestjs.com/
- name: My site
startUrl: https://mysite.com/docs/
MCP Servers
Properties:
name(required): The name of the MCP server.command(required): The command used to start the server.args: An optional array of arguments for the command.env: An optional map of environment variables for the server process.cwd: An optional working directory to run the command in. Can be absolute or relative path.
Before
config.json
{
"experimental": {
"modelContextProtocolServers": [
{
"transport": {
"type": "stdio",
"command": "uvx",
"args": [
"mcp-server-sqlite",
"--db-path",
"/Users/NAME/test.db"
],
"env": {
"KEY": "<VALUE>"
}
}
}
]
}
}
After
config.yaml
mcpServers:
- name: My MCP Server
command: uvx
args:
- mcp-server-sqlite
- --db-path
- /Users/NAME/test.db
env:
KEY: <VALUE>
Deprecated Configuration Options
Some deprecated config.json settings are no longer stored in config and have been moved to be editable through the user settings (Gear Icon). If found in config.json, they will be auto-migrated to User Settings and removed from config.json.
The following top-level fields from config.json have been deprecated and don't have a config.yaml equivalent:
-
Slash commands (
slashCommands) -
top-level
requestOptions -
top-level
completionOptions -
tabAutocompleteOptionsdisablemaxPromptTokensdebounceDelaymaxSuffixPercentageprefixPercentagetemplateonlyMyCode
-
analytics
The following top-level fields from config.json have been deprecated. Most UI-related and user-specific options will move into a settings page in the UI
customCommandsexperimentaluserToken
New Configuration Options
The YAML configuration format offers new configuration options not available in the JSON format. See the YAML Config Reference for more information.