config.yaml Reference

Introduction

Properties

• name (required)
• version (required)
• schema (required)
• models
• context
• rules
• prompts
• docs
• mcpServers
• data

name

name: My Config
version: 1.0.0
schema: v1

version

schema

models

• name (required): A unique name to identify the model within your configuration.
• provider (required): The provider of the model (e.g., openai, ollama).
• model (required): The specific model name (e.g., gpt-4, starcoder).
• apiBase: Can be used to override the default API base that is specified per model
• roles: An array specifying the roles this model can fulfill, such as chat, autocomplete, embed, rerank, edit, apply, summarize. The default value is [chat, edit, apply, summarize]. Note that the summarize role is not currently used.
• capabilities: Array of strings denoting model capabilities, which will overwrite Continue's autodetection based on provider and model. See the Model Capabilities guide for detailed information. Supported capabilities include:
  • tool_use: Enables function/tool calling support (required for Agent mode)
  • image_input: Enables image upload and processing support
  Continue automatically detects these capabilities for most models, but you can override this when using custom deployments or if autodetection isn't working correctly.
• maxStopWords: Maximum number of stop words allowed, to avoid API errors with extensive lists.
• promptTemplates: Can be used to override the default prompt templates for different model roles. Valid values are chat, edit, apply and autocomplete. The chat property must be a valid template name, such as llama3 or anthropic.
• chatOptions: If the model includes role chat, these settings apply for Agent and Chat mode:
  • baseSystemMessage: Can be used to override the default system prompt for Chat mode.
  • baseAgentSystemMessage: Can be used to override the default system prompt for Agent mode.
  • basePlanSystemMessage: Can be used to override the default system prompt for Plan mode.
• embedOptions: If the model includes role embed, these settings apply for embeddings:
  • maxChunkSize: Maximum tokens per document chunk. Minimum is 128 tokens.
  • maxBatchSize: Maximum number of chunks per request. Minimum is 1 chunk.
• defaultCompletionOptions: Default completion options for model settings.
  • contextLength: Maximum context length of the model, typically in tokens.
  • maxTokens: Maximum number of tokens to generate in a completion.
  • temperature: Controls the randomness of the completion. Values range from 0.0 (deterministic) to 1.0 (random).
  • topP: The cumulative probability for nucleus sampling.
  • topK: Maximum number of tokens considered at each step.
  • stop: An array of stop tokens that will terminate the completion.
  • reasoning: Boolean to enable thinking/reasoning for Anthropic Claude 3.7+ and some Ollama models.
  • reasoningBudgetTokens: Budget tokens for thinking/reasoning in Anthropic Claude 3.7+ models.
• requestOptions: HTTP request options specific to the model.
  • timeout: Timeout for each request to the language model.
  • verifySsl: Whether to verify SSL certificates for requests.
  • caBundlePath: Path to a custom CA bundle for HTTP requests.
  • proxy: Proxy URL for HTTP requests.
  • headers: Custom headers for HTTP requests.
  • extraBodyProperties: Additional properties to merge with the HTTP request body.
  • noProxy: List of hostnames that should bypass the specified proxy.
  • clientCertificate: Client certificate for HTTP requests.
    • cert: Path to the client certificate file.
    • key: Path to the client certificate key file.
    • passphrase: Optional passphrase for the client certificate key file.
• autocompleteOptions: If the model includes role autocomplete, these settings apply for tab autocompletion:
  • disable: If true, disables autocomplete for this model.
  • maxPromptTokens: Maximum number of tokens for the autocomplete prompt.
  • debounceDelay: Delay before triggering autocomplete in milliseconds.
  • modelTimeout: Model timeout for autocomplete requests in milliseconds.
  • maxSuffixPercentage: Maximum percentage of prompt allocated for suffix.
  • prefixPercentage: Percentage of input allocated for prefix.
  • transform: If false, disables trimming of multiline completions. Defaults to true. Useful for models that generate better multiline completions without transformations.
  • template: Custom template for autocomplete using Mustache syntax. You can use the {{{ prefix }}}, {{{ suffix }}}, {{{ filename }}}, {{{ reponame }}}, and {{{ language }}} variables.
  • onlyMyCode: Only includes code within the repository for context.
  • useCache: If true, enables caching for completions.
  • useImports: If true, includes imports in context.
  • useRecentlyEdited: If true, includes recently edited files in context.
  • useRecentlyOpened: If true, includes recently opened files in context.

name: My Config
version: 1.0.0
schema: v1
models:
  - name: GPT-4o
    provider: openai
    model: gpt-4o
    roles:
      - chat
      - edit
      - apply
    defaultCompletionOptions:
      temperature: 0.7
      maxTokens: 1500
  - name: Codestral
    provider: mistral
    model: codestral-latest
    roles:
      - autocomplete
    autocompleteOptions:
      debounceDelay: 250
      maxPromptTokens: 1024
      onlyMyCode: true
  - name: My Model - OpenAI-Compatible
    provider: openai
    apiBase: http://my-endpoint/v1
    model: my-custom-model
    capabilities:
      - tool_use
      - image_input
    roles:
      - chat
      - edit

context

• provider (required): The identifier or name of the context provider (e.g., code, docs, web)
• name: Optional name for the provider
• params: Optional parameters to configure the context provider's behavior.

name: My Config
version: 1.0.0
schema: v1
context:
  - provider: file
  - provider: code
  - provider: diff
  - provider: http
    name: Context Server 1
    params:
      url: "https://api.example.com/server1"
  - provider: terminal

rules

name: My Config
version: 1.0.0
schema: v1
rules:
  - uses: sanity/sanity-opinionated # rules file stored on Continue Mission Control
  - uses: file://user/Desktop/rules.md # rules file stored on local computer

---
name: Pirate rule
---

Talk like a pirate

prompts

name: My Config
version: 1.0.0
schema: v1
prompts:
  - uses: supabase/create-functions # prompts file stored on Continue Mission Control 
  - uses: file://user/Desktop/prompts.md # prompts file stored on local computer

---
name: Make pirate comments
invokable: true
---

Rewrite all comments in the active file to talk like a pirate

docs

• name (required): Name of the documentation site, displayed in dropdowns, etc.
• startUrl (required): Start page for crawling - usually root or intro page for docs
• favicon: URL for site favicon (default is /favicon.ico from startUrl).
• useLocalCrawling: Skip the default crawler and only crawl using a local crawler.

name: My Config
version: 1.0.0
schema: v1
docs:
  - name: Continue
    startUrl: https://docs.continue.dev/intro
    favicon: https://docs.continue.dev/favicon.ico

mcpServers

• 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.
• requestOptions: Optional request options for sse and streamable-http servers. Same format as model requestOptions.
• connectionTimeout: Optional timeout for initial connection to MCP server

name: My Config
version: 1.0.0
schema: v1
mcpServers:
  - name: My MCP Server
    command: uvx
    args:
      - mcp-server-sqlite
      - --db-path
      - ./test.db
    cwd: /Users/NAME/project
    env:
      NODE_ENV: production

data

• name (required): The display name of the data destination
• destination (required): The destination/endpoint that will receive the data. Can be:
  • an HTTP endpoint that will receive a POST request with a JSON blob
  • a file URL to a directory in which events will be dumpted to .jsonl files
• schema (required): the schema version of the JSON blobs to be sent. Options include 0.1.0 and 0.2.0
• events: an array of event names to include. Defaults to all events if not specified.
• level: a pre-defined filter for event fields. Options include all and noCode; the latter excludes data like file contents, prompts, and completions. Defaults to all
• apiKey: api key to be sent with request (Bearer header)
• requestOptions: Options for event POST requests. Same format as model requestOptions.

name: My Config
version: 1.0.0
schema: v1
data:
  - name: Local Data Bank
    destination: file:///Users/dallin/Documents/code/continuedev/continue-extras/external-data
    schema: 0.2.0
    level: all
  - name: My Private Company
    destination: https://mycompany.com/ingest
    schema: 0.2.0
    level: noCode
    events:
      - autocomplete
      - chatInteraction

Complete YAML Config Example

name: My Config
version: 1.0.0
schema: v1
models:
  - uses: anthropic/claude-3.5-sonnet
    with:
      ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
    override:
      defaultCompletionOptions:
        temperature: 0.8
  - name: GPT-4
    provider: openai
    model: gpt-4
    roles:
      - chat
      - edit
    defaultCompletionOptions:
      temperature: 0.5
      maxTokens: 2000
    requestOptions:
      headers:
        Authorization: Bearer YOUR_OPENAI_API_KEY
  - name: Ollama Starcoder
    provider: ollama
    model: starcoder
    roles:
      - autocomplete
    autocompleteOptions:
      debounceDelay: 350
      maxPromptTokens: 1024
      onlyMyCode: true
    defaultCompletionOptions:
      temperature: 0.3
      stop:
        - "\n"
rules:
  - Give concise responses
  - Always assume TypeScript rather than JavaScript
prompts:
  - name: test
    description: Unit test a function
    prompt: |
      Please write a complete suite of unit tests for this function. You should use the Jest testing framework.
      The tests should cover all possible edge cases and should be as thorough as possible.
      You should also include a description of each test case.
  - uses: myprofile/my-favorite-prompt
context:
  - provider: diff
  - provider: file
  - provider: code
mcpServers:
  - name: DevServer
    command: npm
    args:
      - run
      - dev
    env:
      PORT: "3000"
data:
  - name: My Private Company
    destination: https://mycompany.com/ingest
    schema: 0.2.0
    level: noCode
    events:
      - autocomplete
      - chatInteraction

Using YAML Anchors to Avoid Config Duplication

%YAML 1.1
---
name: My Config
version: 1.0.0
schema: v1
model_defaults: &model_defaults
  provider: openai
  apiKey: my-api-key
  apiBase: https://api.example.com/llm
models:
  - name: mistral
    <<: *model_defaults
    model: mistral-7b-instruct
    roles:
      - chat
      - edit
  - name: qwen2.5-coder-7b-instruct
    <<: *model_defaults
    model: qwen2.5-coder-7b-instruct
    roles:
      - chat
      - edit
  - name: qwen2.5-coder-7b
    <<: *model_defaults
    model: qwen2.5-coder-7b
    useLegacyCompletionsEndpoint: false
    roles:
      - autocomplete
    autocompleteOptions:
      debounceDelay: 350
      maxPromptTokens: 1024
      onlyMyCode: true

config.json Deprecation