Unify Chat Provider

Integrate multiple LLM API providers into VS Code's GitHub Copilot Chat using the Language Model API.

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Features

• 🐑 Free Tier Access: Aggregates the latest free mainstream model channel configurations!
• 📦 Out of the Box: One-click configuration, automatic syncing of official model lists, and migration from other tools.
• 🔌 Perfect Compatibility: Supports all major LLM API formats (OpenAI Chat Completions, OpenAI Responses, Anthropic Messages, Ollama Chat, Gemini).
• 🎯 Deep Adaptation: Adapts to special API features and best practices of 45+ mainstream providers.
• 🚀 Best Performance: Built-in recommended parameters for 200+ mainstream models, allowing you to maximize model potential without tuning.
• 💻 Code Completion: Provides high-performance FIM, NES, and Next Edit Prediction code completion with full-context integration and fully customizable models and algorithms.
• 💬 Commit Message Generation: Provides better commit message generation than VS Code through the same UI entry point.
• 💾 Import and Export: Complete import/export support; import configs via Base64, JSON, URL, or URI.
• 💎 Great UX: Visual interface configuration, fully customizable model parameters, supports unlimited provider and model configurations, and supports coexistence of multiple configuration variants for the same provider and model.
• ✨ One More Thing: One-click use of your Claude Code, Gemini CLI, Antigravity, Github Copilot, OpenAI Codex (ChatGPT Plus/Pro), xAI Grok (SuperGrok / X Premium+), and Zed account quotas.

Installation

• Requires VS Code 1.115.0 or later.
• Search for Unify Chat Provider in the VS Code Extension Marketplace and install it.
• Download the latest .vsix file from GitHub Releases, then install it in VS Code via Install from VSIX... or by dragging it into the Extensions view.

Quick Start

If the provider you want to add is in the Provider Support Table, use One-Click Configuration.

Otherwise, you can also manually configure any provider and model.

You might also be looking for:

• One-Click Migration: Migrate from other apps or extensions.
• Manage Providers: Unified management for all providers and models.
• Import and Export: Back up or export configurations to share with others.

⚠️ Avoid VS Code background tasks consuming Copilot quota

VS Code currently uses utility models for some background tasks by default. If you use a free Copilot account, this may consume your Copilot quota.

You need to set these to other models in settings.json yourself to avoid consuming Copilot quota, or use the quick settings interface provided by this extension. See Quick Set VS Code Default Model for details.

⚠️ Allow the extension to enable Proposed APIs

This extension uses some experimental VS Code extension APIs. After installation, you may be prompted to enable these APIs, which requires administrator privileges. Allow them for the best experience.

The extension will still work without them, but with the following limitations:

• Some models will be less effective.
• Commit message generation will be significantly less effective.
• The native commit message generation button will be unavailable.
• Code completion will be unavailable.
• Preset templates will be unavailable.

Basic Operations

The UI is integrated into the VS Code Command Palette for a more native experience. Here’s the basic workflow:

1. Open the Command Palette:
   • From the menu: View -> Command Palette...
   • Or with the shortcut: Ctrl+Shift+P (Windows/Linux) or Cmd+Shift+P (Mac)
2. Search commands:
   • Type Unify Chat Provider: or ucp: to find all commands.
3. Run a command:
   • Select a command with mouse or arrow keys, then press Enter.

One-Click Configuration

See the Provider Support Table for providers supported by one-click configuration.

If your provider is not in the list, you can add it via Manual Configuration.

Steps:

1. Open the VS Code Command Palette and search for Unify Chat Provider: Add Provider From Well-Known Provider List.

   

2. Select the provider you want to add.

3. Follow the prompts to configure authentication (usually an API key, or it may require logging in via the browser), then you’ll be taken to the config import screen.

   • This screen lets you review and edit the config that will be imported.
   • For details, see the Provider Settings section.

4. Click Save to complete the import and start using the models in Copilot Chat.

   

Code Completion

Open the VS Code Command Palette and search for Unify Chat Provider: Code Completion Settings.

Code completion is enabled by default, but it takes effect only after you add at least one valid completion algorithm.

Conflict Notice

Once this extension's code completion becomes active, it automatically disables VS Code's built-in code completion.

To allow both to coexist, which is not recommended, change Code Completion Settings -> Completion Strategy Settings -> Disable VS Code Built-in Completion.

When multiple extensions provide code completion, VS Code returns results only from the one that responds fastest. We therefore recommend enabling code completion in only one extension.

Supported Algorithms

Name	ID	Description
Simple	simple	The simplest FIM implementation; sends only the current document's prefix and suffix and works with any model.
Copilot (Replica)	copilot-replica	A complete replica of VS Code Copilot's core FIM/NES implementation that works with any model.
Zed	zed	A complete replica of Zed Edit Prediction that supports Zeta models only.
Inception	inception	Implements the documented best practices and supports Mercury Edit 2 only.
Mistral	mistral	Implements the documented best practices and supports Codestral only.

We recommend the Zed and Inception algorithms for better results.

Simple

This algorithm supports any model. A model designed specifically for FIM code completion, such as Qwen Coder, is recommended.

Models such as DeepSeek V4 may support FIM but perform poorly in practice, so they are not recommended.

Steps:

1. First add a model configuration, then adjust its completion capabilities based on whether the model supports FIM:
   • Supports FIM: set completion.template to fim.
   • Supports chat only: set completion.template to fim and completion.transport to compatible.
2. Add a Simple algorithm through Code Completion Settings -> Add From Current Provider List -> Simple, then select the model to use.
3. Click Save.

Zed

This algorithm provides the same code completion experience as the Zed editor.

Zed uses its own Zeta model family. We recommend adding it in one of two ways:

1. Add the Zed provider through One-Click Configuration and use your Zed account quota.
2. Deploy a Zeta model locally and add it.
3. Add a Zed algorithm through Code Completion Settings -> Add From Current Provider List -> Zed, then select the model that was just added.
4. Click Save.

Inception

1. Add the Inception provider through One-Click Configuration.
2. Add an Inception algorithm through Code Completion Settings -> Add From Current Provider List -> Inception, then select the Mercury Edit 2 model.
3. Click Save.

Mistral

1. Add the Mistral provider through One-Click Configuration.
2. Add a Mistral algorithm through Code Completion Settings -> Add From Current Provider List -> Mistral, then select the Codestral model.
3. Click Save.

Manual Configuration

This section uses DeepSeek as an example, adding the provider and two models.

DeepSeek supports One-Click Configuration. This section shows the manual setup for demonstration purposes.

0. Preparation: get the API information from the provider docs, at least the following:

   • API Format: The API format (e.g., OpenAI Chat Completions, Anthropic Messages).
   • API Base URL: The base URL of the API.
   • Authentication: Usually an API key; obtained from the user center or console after registration.

1. Open the VS Code Command Palette and search for Unify Chat Provider: Add Provider.

   
   - This screen is similar to the [Provider Settings](#provider-settings) screen, and includes in-place documentation for each field.

2. Fill in the provider name: Name.

   • The name must be unique and is shown in the model list. Here we use DeepSeek.
   • You can create multiple configs for the same provider with different names, e.g., DeepSeek-Person, DeepSeek-Team.

3. Choose the API format: API Format.

   • DeepSeek uses the OpenAI Chat Completion format, so select that.
   • To see all supported formats, refer to the API Format Support Table.

4. Set the base URL: API Base URL.

   • DeepSeek’s base URL is https://api.deepseek.com.

5. Configure authentication: Authentication.

   • DeepSeek uses API Key for authentication, so select API Key.
   • Enter the API key generated from the DeepSeek console.

6. Click Models to go to the model management screen.

   

7. Enable Auto-Fetch Official Models.

   • This example uses auto-fetch to reduce configuration steps; see Auto-Fetch Official Models for details.
   • For model fields and other ways to add models, see Manage Models.

8. Click Save to finish. You can now use the models in Copilot Chat.

   

One-Click Migration

See the Application Migration Support Table to learn which apps and extensions are supported.

If your app/extension is not in the list, you can configure it via One-Click Configuration or Manual Configuration.

Steps:

1. Open the VS Code Command Palette and search for Unify Chat Provider: Import Config From Other Applications.

• The UI lists all supported apps/extensions and the detected config file paths.
• Use the button group on the far right of each item for additional actions:
  1. Custom Path: Import from a custom config file path.
  2. Import From Config Content: Paste the config content directly.

2. Choose the app/extension you want to import, then you’ll be taken to the config import screen.

• This screen lets you review and edit the config that will be imported.
• For details, see the Provider Settings section.

3. Click Save to complete the import and start using the imported models in Copilot Chat.

Manage Providers

• You can create unlimited provider configurations, and multiple configs can coexist for the same provider.
• Provider names must be unique.

Provider List

Open the VS Code Command Palette and search for Unify Chat Provider: Manage Providers.

• Add Provider: Add a new provider via Manual Configuration.
• Add From Well-Known Provider List: Add a new provider via One-Click Configuration.
• Import From Config: Import an existing provider config (or an array of provider configs). See Import and Export.
• Import From Other Applications: Import configs from other apps/extensions via One-Click Migration.
• Export All Providers: Export all provider configs. See Import and Export.

The UI also shows all existing providers. Click a provider item to enter the Model List screen.

The button group on the right of each provider item provides additional actions:

• Export: Export this provider config. See Import and Export.
• Duplicate: Clone this provider config to create a new one.
• Delete: Delete this provider config.

Provider Settings

• Models: This button only appears while adding or importing a config; click it to enter the Model List screen.

This screen shows all configuration fields for the provider. For field details, see Provider Parameters.

Manage Models

• Each provider can have unlimited model configurations.
• The same model ID can exist under different providers.
• Within a single provider config, you cannot have multiple identical model IDs directly, but you can create multiple configs by adding a #xxx suffix.
• For example, you can add both glm4.7 and glm4.7#thinking to quickly switch thinking on/off.
• The #xxx suffix is automatically removed when sending requests.
• Model names can be duplicated, but using distinct names is recommended to avoid confusion.

Model List

• Add Model: Go to Add Model Manually.
• Add From Well-Known Model List: Go to One-Click Add Models.
• Add From Official Model List: Fetch the latest official model list via API. See One-Click Add Models.
• Import From Config: Import an existing model config (or an array of model configs). See Import and Export.
• Auto-Fetch Official Models: Enable or disable Auto-Fetch Official Models.
• Provider Settings: Go to Provider Settings.
• Export: Export this provider config or the model array config. See Import and Export.
• Duplicate: Clone this provider config to create a new one.
• Delete: Delete this provider config.

Add Model Manually

This screen is similar to the Model Settings screen; you can read the in-place documentation to understand each field.

One-Click Add Models

This screen lists all models that can be added with one click. You can import multiple selected models at once.

See the Model Support Table for the full list of supported models.

Auto-Fetch Official Models

This feature periodically fetches the latest official model list from the provider’s API and automatically configures recommended parameters, greatly simplifying model setup.

Tip

A provider’s API may not return recommended parameters. In that case, recommended parameters are looked up from an internal database by model ID. See the Model Support Table for models that have built-in recommendations.

• Auto-fetched models show an internet icon before the model name.
• If an auto-fetched model ID conflicts with a manually configured one, only the manually configured model is shown.
• Auto-fetched models are refreshed periodically; you can also click (click to fetch) to refresh manually.
• Run the VS Code command Unify Chat Provider: Refresh All Provider's Official Models to trigger refresh for all providers.

Model Settings

• Export: Export this model config. See Import and Export.
• Duplicate: Clone this model config to create a new one.
• Delete: Delete this model config.

This screen shows all configuration fields for the model. For field details, see Model Parameters.

Sync Built-in Parameters to All Configs

Run Unify Chat Provider: Sync Built-in Parameters to All Configs to sync local model parameters with the built-in model parameters.

This is typically used after a new version updates or optimizes built-in model parameters, allowing you to sync existing configs in one click.

Commit Message Generation

You can generate commit messages via the following commands:

• Unify Chat Provider: Generate Commit Message
• Unify Chat Provider: Generate Commit Message(All Changes)
• Unify Chat Provider: Generate Commit Message(Staged Changes)
• Unify Chat Provider: Generate Commit Message(Unstaged Changes)

You can also click the sparkle button on the right side of the commit message input box in the Source Control view to generate a commit message (on first use, you need to click the dropdown arrow next to the button and select Unify Chat Provider: Generate Commit Message from the dropdown menu).

Balance Monitoring

Use this feature to monitor provider balances in Provider Settings.

• Run the VS Code command Unify Chat Provider: Provider Balance Monitoring to open the balance monitoring panel.
• Configure it from the Balance Monitor field.
• Built-in methods:
  • Moonshot AI Balance: no extra config required; uses provider baseUrl and API key.
  • Kimi Code Usage: no extra config required; uses provider baseUrl and API key.
  • New API Balance: always shows API key balance; user balance is optional and requires userId + systemToken (sensitive data).
  • DeepSeek Balance: no extra config required; uses provider baseUrl and API key.
  • OpenRouter Balance: no extra config required; uses provider baseUrl and API key.
  • SiliconFlow Balance: no extra config required; uses provider baseUrl and API key.
  • AIHubMix Balance: no extra balance config required; uses provider baseUrl, API key, and optional APP-Code from provider extraHeaders.
  • Claude Relay Service Balance: no extra config required; uses provider baseUrl and API key.
  • Antigravity Usage: no extra config required; uses the provider OAuth credential and project settings.
  • Gemini CLI Usage: no extra config required; uses the provider OAuth credential and optional project settings.
  • Codex Usage: no extra config required; uses provider credential (API key or Codex auth token).
• Run the VS Code command Unify Chat Provider: Refresh All Providers' Balance Information to force refresh balances for all configured providers.

Adjust Parameters

Global Settings

• Most unifyChatProvider.* settings are application-scoped and shared across profiles on the same device.
• Code completion and commit message generation settings are window-scoped and can be configured per workspace.

Details

Name	ID	Description
Enable Detailed Logging	verbose	Enables detailed request and response logs. Default: false.
Model Display Name Template	modelDisplayNameTemplate	Template for chat model names. Default: {modelName}{{ ({providerName})}}.
Store API Key in Settings	storeApiKeyInSettings	Whether to store syncable sensitive data in settings.json. Default: false; see Cloud Sync Compatibility.
Newest Providers First	providerList.newestFirst	Whether to show the most recently added or modified providers first in management views. Default: true.
Balance Refresh Interval	balanceRefreshIntervalMs	Periodic provider balance refresh interval in milliseconds. Default: 60000; minimum: 1000.
Balance Throttle Window	balanceThrottleWindowMs	Throttle window for refreshing balances after a request, in milliseconds. Default: 10000; minimum: 0.
Balance Status Bar Icon	balanceStatusBarIcon	Theme icon text used for provider balances in the status bar. Default: $(credit-card); use an empty string to hide it.
Display Balance in Configuration	displayBalanceInConfiguration	Whether to show refreshed balance information in the model configuration button area. Default: false.
Enable Balance Warnings	balanceWarning.enabled	Whether to show a warning icon beside a model name when its balance approaches a threshold. Default: true.
Expiration Warning Threshold	balanceWarning.timeThresholdDays	Expiration warning threshold in days; decimals are supported. Default: 1; minimum: 0.
Amount Warning Threshold	balanceWarning.amountThreshold	Balance warning threshold, regardless of currency. Default: 1; minimum: 0.
Token Warning Threshold	balanceWarning.tokenThresholdMillions	Remaining-token warning threshold in millions of tokens. Default: 1; minimum: 0.
Global Network Settings	networkSettings	Global network settings. Timeout and retry affect chat requests; proxy affects provider HTTP requests.
Global Timeout Settings	networkSettings.timeout	Global chat request timeout settings in milliseconds.
Global Connection Timeout	networkSettings.timeout.connection	Maximum time to wait for a TCP connection. Default: 60000 (60 seconds); must be a positive integer.
Global Response Interval Timeout	networkSettings.timeout.response	Maximum time between SSE stream chunks. Default: 300000 (5 minutes); must be a positive integer.
Global Retry Settings	networkSettings.retry	Global retry settings for chat requests.
Global Max Retries	networkSettings.retry.maxRetries	Default: 10; must be a non-negative integer.
Global Initial Retry Delay	networkSettings.retry.initialDelayMs	Delay before the first retry in milliseconds. Default: 1000; must be a non-negative integer.
Global Max Retry Delay	networkSettings.retry.maxDelayMs	Upper limit for retry delays in milliseconds. Default: 60000; must be a positive integer.
Global Backoff Multiplier	networkSettings.retry.backoffMultiplier	Exponential backoff multiplier. Default: 2; minimum: 1.
Global Jitter Factor	networkSettings.retry.jitterFactor	Jitter factor used to randomize delays. Default: 0.1; range: 0-1.
Global Retryable Status Codes	networkSettings.retry.statusCodes	HTTP status codes that trigger retries. When set, this fully replaces the default rules: 408, 409, 429, and all status codes >=500.
Global Proxy Settings	networkSettings.proxy	Global proxy settings for provider requests. See Proxy Configuration for fields.
Enable Code Completion	completion.enabled	Whether to enable this extension's code completion. Default: true; see Completion Algorithm Parameters.
Completion Providers	completion.providers	Array of completion algorithm configurations. Default: []; see Completion Algorithm Parameters.
Completion Scheduling Strategy	completion.strategy	Scheduling and stopping conditions for completion algorithms; see Completion Scheduling Strategy Parameters.
Commit Message Generation Buttons	commitMessageGeneration.enableButtons	Whether to show commit message generation buttons in the Source Control view. Default: true.
Commit Message Generation Model	commitMessageGeneration.model	Model reference used for commit message generation. Default: { "vendor": "", "id": "" }.
Commit Message Model Vendor	commitMessageGeneration.model.vendor	Language model vendor identifier.
Commit Message Model ID	commitMessageGeneration.model.id	Language model ID.
Commit Message Generation Format	commitMessageGeneration.format	auto (default) / conventional / angular / google / atom / plain / custom.
Custom Commit Message Instructions	commitMessageGeneration.customInstructions	Additional instructions appended to the system prompt. Default: empty string.
Commit Message Excluded Files	commitMessageGeneration.excludeFiles	Array of VS Code globs whose diffs are omitted from the prompt. Default: [].
Provider Endpoints	endpoints	Array of provider configurations. Default: []; see Provider Parameters for fields.

Proxy Configuration

Proxy settings can be configured globally through unifyChatProvider.networkSettings.proxy or per provider through unifyChatProvider.endpoints[].proxy. The effective order is:

1. Provider proxy
2. Global networkSettings.proxy
3. VS Code HTTP proxy settings

proxy.type supports:

• vscode (default): Use VS Code http.proxy, http.proxyAuthorization, http.proxyStrictSSL, and http.noProxy.
• direct: Connect directly and bypass VS Code/global proxy settings.
• custom: Use proxy.url; optional fields are authorization, strictSSL, and noProxy.

Supported custom proxy URL protocols are http, https, socks, socks4, socks4a, socks5, and socks5h. Proxy settings apply to provider HTTP requests, including chat requests, balance refreshes, and official model fetching.

Example global proxy:

{
  "unifyChatProvider.networkSettings": {
    "proxy": {
      "type": "custom",
      "url": "http://127.0.0.1:7890",
      "noProxy": ["localhost", "127.0.0.1", ".example.com"]
    }
  }
}

Example provider override:

{
  "unifyChatProvider.endpoints": [
    {
      "type": "openai-chat-completion",
      "name": "OpenAI Direct",
      "baseUrl": "https://api.openai.com",
      "proxy": {
        "type": "direct"
      },
      "models": ["gpt-5"]
    }
  ]
}

Provider Parameters

Details

The following fields correspond to ProviderConfig (field names used in import/export JSON).

Name	ID	Description
API Format	type	Required. Provider type, which determines the API format and compatibility logic; see API Format Support Table for supported values.
Provider Name	name	Required. Unique name for this provider configuration, used in lists and references.
API Base URL	baseUrl	Required. API base URL, for example https://api.anthropic.com.
Disable URL Normalization	useRawBaseUrl	Whether to disable provider-specific URL handling such as appending /v1 or removing suffixes. Default: false.
Chat Transport Mode	transport	auto / sse / websocket; leave unset to use the provider's default behavior.
Service Tier	serviceTier	Provider-level default processing tier: auto / standard / flex / scale / priority.
Context Cache	contextCache	Context cache configuration, used only by providers that support prompt caching.
Context Cache Type	contextCache.type	only-free (default): use caching only when free; allow-paid: use it even when it may incur a charge.
Context Cache TTL (seconds)	contextCache.ttl	Positive integer. Default: 300. Some providers map this to supported TTL tiers; tiers that may incur a charge can require allow-paid.
Authentication	auth	Authentication configuration, usually managed through the provider settings UI.
Authentication Method	auth.method	none / api-key / oauth2 / antigravity-oauth / google-gemini-oauth / google-vertex-ai-auth / claude-code / openai-codex / xai-grok-oauth / github-copilot / zed.
Legacy API Key	apiKey	Deprecated and used only to migrate legacy configurations. New configurations should use auth; this field is not persisted again.
Balance Monitor	balanceProvider	Provider-level balance monitoring configuration.
Completion Capabilities	completion	Default code completion capabilities for this provider.
Completion Transport	completion.transport	auto (the default if still unset after inheritance) / native / compatible.
Native Completion Base URL	completion.baseUrl	Used only for native completion requests; may be an absolute URL or a path relative to the provider's baseUrl.
Completion Templates	completion.templates	all or an array of template IDs. Supports fim, codegemma, copilot-replica-nes, zeta1, zeta2, zeta2.1, zeta3-internal, mercury-edit-2, and codestral. An empty array disables completion; if neither provider nor model sets it, the default is an empty array.
Models	models	Required. Array of model ID strings or ModelConfig objects.
Extra Headers	extraHeaders	HTTP headers appended to every request (Record<string, string>); values may reference provider credentials with ${APIKEY}.
Extra Body Fields	extraBody	Fields appended to the request body (Record<string, unknown>) for provider-specific parameters.
Proxy	proxy	Provider-level proxy override; see Proxy Configuration for fields.
Timeout	timeout	Provider-level timeout override for chat requests, in milliseconds.
Connection Timeout	timeout.connection	Must be a positive integer. Inherits the global value when unset; built-in default: 60000 (60 seconds).
Response Interval Timeout	timeout.response	Must be a positive integer. Inherits the global value when unset; built-in default: 300000 (5 minutes).
Retry	retry	Provider-level retry override for chat requests. Retryable HTTP status codes can be configured only through global networkSettings.retry.statusCodes.
Max Retries	retry.maxRetries	Must be a non-negative integer. Inherits the global value when unset; built-in default: 10.
Initial Delay	retry.initialDelayMs	Must be a non-negative integer in milliseconds. Inherits the global value when unset; built-in default: 1000.
Max Delay	retry.maxDelayMs	Must be a positive integer in milliseconds. Inherits the global value when unset; built-in default: 60000.
Backoff Multiplier	retry.backoffMultiplier	Minimum: 1. Inherits the global value when unset; built-in default: 2.
Jitter Factor	retry.jitterFactor	Range: 0-1. Inherits the global value when unset; built-in default: 0.1.
Auto-Fetch Official Models	autoFetchOfficialModels	Whether to fetch and synchronize official models from the provider API. Default: false.

Model Parameters

Details

The following fields correspond to ModelConfig (field names used in import/export JSON).

Name	ID	Description
Model ID	id	Required. Model identifier. Use a #xxx suffix to create multiple configurations for the same model; the suffix is removed automatically when requests are sent.
Display Name	name	Name shown in the UI; falls back to id when unset.
Model Family	family	Model identifier used for grouping and matching, such as gpt-4 or claude-3. When unset, uses id after removing its #xxx suffix.
Max Input Tokens	maxInputTokens	Maximum input or context token count. Some providers interpret this as the combined input and output context. Extension runtime default: 128000.
Max Output Tokens	maxOutputTokens	Maximum generated token count; required by some providers. Extension runtime default: 64000.
Tokenizer	tokenizer	default (an alias for char4, and the default) / conservative / char4 / openai / deepseek.
Token Count Multiplier	tokenCountMultiplier	Positive multiplier applied to the token count before it is returned to VS Code. Default: 1.0.
Capabilities	capabilities	Capability declarations used by the UI, routing, and some request construction.
Tool Calling	capabilities.toolCalling	A boolean indicates whether tool calling is supported; an integer indicates the maximum number of tools.
Image Input	capabilities.imageInput	Whether image input is supported.
Edit Tool Hint	capabilities.editTools	find-replace / multi-find-replace / apply-patch / code-rewrite.
Streaming	stream	Whether to enable streaming responses; uses the provider's default behavior when unset.
Temperature	temperature	Sampling temperature.
Top-K	topK	Integer for top-k sampling.
Top-P	topP	Top-p (nucleus) sampling.
Frequency Penalty	frequencyPenalty	Frequency penalty.
Presence Penalty	presencePenalty	Presence penalty.
Parallel Tool Calling	parallelToolCalling	true to enable, false to disable; uses the provider's default behavior when unset.
Service Tier	serviceTier	auto / standard / flex / scale / priority; inherits the provider value when unset, and omits the field if the provider value is also unset.
Verbosity	verbosity	low / medium / high; not supported by all providers.
Thinking	thinking	Thinking or reasoning configuration; support varies by provider.
Thinking Type	thinking.type	Required when thinking is present: enabled / disabled / auto.
Thinking Budget Tokens	thinking.budgetTokens	Token budget for thinking.
Thinking Effort	thinking.effort	none / minimal / low / medium / high / xhigh / max.
Reasoning Summary	thinking.summary	none / auto / concise / detailed.
Reasoning Mode	thinking.mode	standard / pro.
Reasoning Retention Mode	thinking.context	auto / current_turn / all_turns.
Native Multi-Agent	multi-agent	Native multi-agent execution configuration.
Enable Native Multi-Agent	multi-agent.enabled	Required when multi-agent is present.
Max Concurrent Subagents	multi-agent.maxConcurrentSubagents	Optional positive integer that limits the number of concurrently running subagents.
Native Web Search	webSearch	Native web search tool configuration.
Native Memory Tool	memoryTool	Whether to enable the native memory tool; applies only to providers that support it.
Extra Headers	extraHeaders	HTTP headers appended to this model request (Record<string, string>); values may reference provider credentials with ${APIKEY}.
Extra Body Fields	extraBody	Fields appended to this model request body (Record<string, unknown>).
Completion Override	completion	Model-level code completion capability override; each unset child field separately inherits the provider configuration.
Completion Transport	completion.transport	auto / native / compatible.
Native Completion Base URL	completion.baseUrl	Used only for native completion requests; may be an absolute URL or a path relative to the provider's baseUrl.
Completion Templates	completion.templates	all or an array of template IDs. Supports fim, codegemma, copilot-replica-nes, zeta1, zeta2, zeta2.1, zeta3-internal, mercury-edit-2, and codestral; an empty array explicitly disables completion for this model.
Preset Templates	presetTemplates	Array of preset templates in the VS Code model submenu. Templates are applied in declaration order, and later templates override same-named fields from earlier templates.

Service Tier Notes

• Leaving serviceTier empty means this extension omits the service tier / speed fields and keeps the provider default behavior.
• Mapping for the OpenAI API:
  • auto -> auto
  • standard -> default
  • flex -> flex
  • scale -> scale
  • priority -> priority
• Mapping for Anthropic Messages API:
  • auto -> auto
  • standard / flex / scale -> standard_only
  • priority -> speed: "fast" with fast-mode-2026-02-01

Preset Template Notes

You can configure multiple preset templates for a single model. Each template corresponds to one enum option group displayed in the VS Code model selection submenu.

Preset overrides for thinking are shallow-merged by child field, allowing independent reasoning controls to compose. Overrides for other top-level fields continue to replace the complete field value. The GPT-5.6 Sol, Terra, and Luna built-ins use the IDs gpt-5.6-sol, gpt-5.6-terra, and gpt-5.6-luna; each has a 1,050,000-token context window, 128,000-token output limit, OpenAI tokenization, tool and image support, and the apply-patch edit hint. The gpt-5.6 alias resolves to Sol. These models expose reasoningEffort (max, xhigh, high, medium, low, none), reasoningMode (standard, pro), and reasoningContext (auto, current_turn, all_turns) without provider-default options. Their defaults are xhigh, standard, and auto.

You can define custom preset templates to switch model parameters quickly. For example:

{
  "presetTemplates": [
    {
      "name": "Reasoning Effort",
      "id": "reasoningEffort",
      "presets": [
        {
          "name": "High",
          "description": "Suitable for tasks involving planning, coding, synthesis, or more difficult reasoning.",
          "id": "high",
          "config": {
            "thinking": {
              "type": "enabled",
              "effort": "high"
            },
            "temperature": 0.7
          }
        },
        {
          "name": "Low",
          "description": "A small amount of extra thinking can improve reliability with almost no added latency.",
          "id": "low",
          "config": {
            "thinking": {
              "type": "enabled",
              "effort": "low"
            },
            "temperature": 0.4
          }
        },
        {
          "name": "Default",
          "description": "Use the model's current configuration.",
          "id": "default",
          "config": {}
        }
      ],
      "default": "default"
    }
  ]
}

• config overrides fields in the model configuration. In the example above, high and low override thinking and temperature, while default overrides nothing and uses the model's current configuration.
• If multiple templates override the same field, they are applied in declaration order, and later templates override earlier fields with the same name.

Completion Algorithm Parameters

Details

Name	ID	Description
Enable Code Completion	enabled	Whether to enable this extension's code completion. Default: true; takes effect only when at least one valid completion provider exists.
Completion Providers	providers	Array of completion providers (CompletionAlgorithmEntry[]). Default: [].
Provider ID	providers[].id	Unique completion provider identifier.
Algorithm	providers[].algorithm	simple / copilot-replica / zed / inception / mistral.
Algorithm Options	providers[].options	Algorithm configuration object.

Every model field under options is a CompletionModelReference in the format { "vendor": string, "id": string }.

Simple (simple)

Name	ID	Description
Model	options.model	Required. Used to generate FIM completions.

Copilot (Replica) (copilot-replica)

Name	ID	Description
Enable FIM	options.enableFIM	Required boolean. Whether to enable FIM completion.
Enable NES	options.enableNES	Required boolean. Whether to enable Next Edit Suggestion; at least one of enableFIM and enableNES must be true.
FIM Model	options.fimModel	Required when FIM is enabled in independent-model mode.
FIM Candidate Count	options.n	Positive integer. Default: 1. Used only for independent FIM mode; falls back to one candidate when the transport does not support multiple candidates.
NES Model	options.nesModel	Required when NES is enabled in independent-model mode.
Model Unification	options.modelUnification	Whether FIM and NES share one model. Default: false. May be true only when both FIM and NES are enabled; when enabled, always uses the xtabUnifiedModel protocol and does not invoke the independent FIM transport.
Unified Model	options.unifiedModel	Required when model unification is enabled; used for both FIM insertions and NES edits.
Cursor Prediction Model	options.cursorPredictionModel	Optional. Used only to predict the next cursor position for NES; reuses the current NES or unified model when unset. If this model is unavailable, only cursor prediction is disabled and the main NES request is unaffected.
NES Prompt Strategy	options.strategy	Default in independent-model mode: copilotNesXtab. Options: copilotNesXtab, xtab275, xtabUnifiedModel, xtabAggressiveness, xtab275Aggressiveness, xtab275AggressivenessHighLow, xtab275EditIntent, xtab275EditIntentShort; match this to the model's prompt and response protocol.
Eagerness	options.eagerness	NES adaptive request strategy: auto / low / medium / high. Default: auto. Changing this field does not rebuild the stateful Copilot runtime.
Completion Languages	options.enabledLanguages	Advanced. Map of language IDs to booleans, with * as a fallback, controlling automatic FIM. In unified-model mode, this works with inlineEditsEnabledLanguages to determine the completion channel. Enabled by default except for plaintext, markdown, and scminput; manually triggered independent FIM is not restricted by this setting.
Inline Edit Languages	options.inlineEditsEnabledLanguages	Advanced. Map of language IDs to booleans, with * as a fallback, controlling NES inline edits. Enabled by default except for plaintext, markdown, and scminput.
Respect Selected Completion Info	options.respectSelectedCompletionInfo	Advanced. Controls whether FIM treats the selected completion in the suggestion widget as a pending edit. When unset, this is determined automatically from the VS Code version and editor.quickSuggestions state.
Include Inline Completions	options.includeInlineCompletions	Advanced. Whether NES may return inline completions in the current document. Default: true.
Include Inline Edits	options.includeInlineEdits	Advanced. Whether NES may return inline or cross-file edits. Default: true. When NES is enabled, this and includeInlineCompletions cannot both be false.

Zed (zed)

Name	ID	Description
Model	options.model	Required. Used for Zed Edit Prediction.
Max Output Tokens	options.maxTokens	Positive integer. Default: 64; Zed Cloud v3/v4 requests use service-defined limits.

Inception (inception)

Name	ID	Description
Model	options.model	Required. Used for Mercury Edit 2 Next Edit; the service determines the output limit.

Mistral (mistral)

Name	ID	Description
Model	options.model	Required. Used for Codestral FIM.
Max Output Tokens	options.maxTokens	Positive integer. Default: 150.

Completion Scheduling Strategy Parameters

Details

Name	ID	Description
Scheduling Mode	mode	all (default): immediately requests all providers concurrently; main-first: prioritizes the main provider.
Disable VS Code Built-in Completion	disableVSCodeBuiltinCompletion	Default: true. Blocks VS Code's code completion; set to false to allow both to coexist.
Disabled File Globs	disabledGlobs	Additional file globs for which completion requests are not sent. Always merged with **/.env*, **/*.pem, **/*.key, **/*.cert, **/*.crt, **/.dev.vars, and **/secrets.yml; the built-in rules cannot be removed by setting an empty array.
Main Provider	mainProvider	Required in main-first mode; value is a providers[].id. If the reference does not exist, the runtime falls back to the default strategy and shows a throttled configuration warning.
Main Provider Wait Time	mainFirstTimeoutMs	Non-negative milliseconds. Default: 500. If the main provider still has no usable result, reaching this time starts or releases the other providers; it is not a cancellation timeout for the main request.
Start Other Providers in Parallel	parallelRequestOthers	Used only by main-first. Default: false. When false, other providers start after the main provider fails, returns no result, or times out. When true, all start together, but other results enter the stopping condition only after the main provider finishes or its wait time expires.
Stopping Condition	stopWhen	Object controlling when to stop waiting and merge the currently available results.
Stopping Condition Type	stopWhen.type	firstUsable (default) / deadline / enoughResults / allSettled.
First Result Grace Period	stopWhen.graceMs	Non-negative milliseconds, used only by firstUsable. Time to keep collecting after the first usable result. Default: 0.
Deadline	stopWhen.timeoutMs	Non-negative milliseconds; required by deadline. Returns available results when reached.
Minimum Result Count	stopWhen.minItems	Positive integer; required by enoughResults. Counts completion items after merging and deduplication.
Enough Results Grace Period	stopWhen.graceMs	Non-negative milliseconds, used only by enoughResults. Time to keep collecting after reaching minItems. Default: 0.

In main-first mode, a usable result from the main provider during the priority phase is returned immediately. Only after the main provider produces no usable result and the fallback phase begins are other providers merged according to stopWhen. The stopping conditions behave as follows:

• firstUsable: after the first usable result, waits up to graceMs, then returns and cancels running requests; returns earlier if every request finishes first.
• deadline: returns available results and cancels running requests when timeoutMs is reached; returns earlier if every request finishes first.
• enoughResults: after the deduplicated completion items reach minItems, waits graceMs, then returns and cancels running requests; if every request finishes first, returns the results available at that time.
• allSettled: waits until every scheduled request succeeds, fails, or returns no result.

Results from multiple providers are merged in actual completion order and deduplicated by target URI, inserted text, and replacement range, keeping the first occurrence. An error from one provider does not prevent other providers from returning results.

Import and Export

Supported import/export payloads:

• Single provider configuration
• Single model configuration
• Multiple provider configurations (array)
• Multiple model configurations (array)

Supported import/export formats:

• Base64-url encoded JSON config string (export uses this format only)
• Plain JSON config string
• A URL pointing to a Base64-url encoded or plain JSON config string

URI Support

Supports importing provider configs via VS Code URI.

Example:

vscode://SmallMain.vscode-unify-chat-provider/import-config?config=<input>

<input> supports the same formats as in Import and Export.

Override Config Fields

You can add query parameters to override certain fields in the imported config.

Example:

vscode://SmallMain.vscode-unify-chat-provider/import-config?config=<input>&auth={"method":"api-key","apiKey":"my-api-key"}

The import will override the auth field before importing.

Provider Advocacy

If you are a developer for an LLM provider, you can add a link like the following on your website so users can add your model to this extension with one click:

<a href="vscode://SmallMain.vscode-unify-chat-provider/import-config?config=eyJ0eXBlIjoi...">Add to Unify Chat Provider</a>

Cloud Sync Compatibility

Extension configs are stored in settings.json, so they work with VS Code Settings Sync.

Session-based authentication settings include a non-secret binding ID in settings.json, while OAuth tokens, client secrets, account/project context, and Zed organization/privacy state are stored in a versioned envelope in VS Code Secret Storage. Secret Storage does not sync.

Each device therefore authorizes and refreshes its own session. Syncing, renaming, or changing the account on one device cannot replace another device's token or account context. A newly synced device will ask you to authorize locally.

If you want to sync suitable sensitive data such as API keys, enable storeApiKeyInSettings.

OAuth and Zed credentials are always kept in Secret Storage to avoid multi-device refresh and account-context conflicts. Explicitly exporting and importing sensitive data can still place the same upstream credential on multiple devices.

This can increase the risk of user data leakage, so evaluate the risk before enabling.

Quick Set VS Code Default Model

You can open the quick settings interface with the VS Code command Unify Chat Provider: Change VS Code Default Model.

The following settings can be changed quickly:

• ★ chat.utilityModel
• ★ chat.utilitySmallModel
• ★ chat.exploreAgent.defaultModel
• ★ github.copilot.chat.exploreAgent.model
• inlineChat.defaultModel
• chat.planAgent.defaultModel
• github.copilot.chat.askAgent.model
• github.copilot.chat.implementAgent.model

Items marked with ★ mean:

• By default, VS Code uses Copilot built-in models for these settings. These models do not consume premium quota on paid plans, but may consume free quota on free plans.
• It is recommended to set them to fast, inexpensive models.

You can select the Change All Built-in Utility Models button to update all ★ items at once.

API Format Support Table

Details

API	ID	Typical Endpoint	Notes
OpenAI Chat Completion API	openai-chat-completion	/v1/chat/completions	If the base URL doesn’t end with a version suffix, /v1 is appended automatically.
OpenAI Responses API	openai-responses	/v1/responses	If the base URL doesn’t end with a version suffix, /v1 is appended automatically.
Google AI Studio (Gemini API)	google-ai-studio	/v1beta/models:generateContent	Automatically detect the version number suffix.
Google Vertex AI	google-vertex-ai	/v1beta/models:generateContent	Provide different base URL based on authentication.
Anthropic Messages API	anthropic	/v1/messages	Automatically removes duplicated /v1 suffix.
Ollama Chat API	ollama	/api/chat	Automatically removes duplicated /api suffix.
Zed Cloud API	zed	/completions	Native sign-in, organization-scoped models, and Edit Prediction v3/v4.

Provider Support Table

The providers listed below support One-Click Configuration. Implementations follow the best practices from official docs to help you get the best performance.

Tip

Even if a provider is not listed, you can still use it via Manual Configuration.

Details

Provider	Supported Features	Free Quota	Balance Monitor
Open AI
Google AI Studio
Google Vertex AI	Authentication
Anthropic	InterleavedThinking MidConversationToolChanges FineGrainedToolStreaming AlwaysOnAdaptiveThinking
Inception	Mercury Edit 2 Completion
Mistral AI	Reasoning Content Chunks Codestral FIM Completion
xAI
Hugging Face (Inference Providers)
OpenRouter	CacheControl ReasoningParam ReasoningDetails ClaudeAdaptiveVerbosity	Details	✅
AIHubMix			✅
Cerebras	ReasoningField DisableReasoningParam ClearThinking	Details
OpenCode Zen (OpenAI Chat Completion)	ReasoningContent	Details
OpenCode Zen (OpenAI Responses)	ReasoningContent	Details
OpenCode Zen (Anthropic Messages)	InterleavedThinking FineGrainedToolStreaming	Details
OpenCode Zen (Gemini)		Details
OpenCode Go (OpenAI Chat Completion)	ReasoningContent	Details
OpenCode Go (Anthropic Messages)	InterleavedThinking FineGrainedToolStreaming	Details
Nvidia		Details
Kilo Code	RawBaseUrl	Details
Alibaba Cloud Model Studio (China)	ThinkingParam3 ReasoningContent
Alibaba Cloud Model Studio (Team Token Plan)	ThinkingParam3 ReasoningContent
Alibaba Cloud Model Studio (International)	ThinkingParam3 ReasoningContent
Tencent Cloud TokenHub (China)	ThinkingParam ReasoningEffortParam ReasoningContent
Tencent Cloud TokenHub (International)	ThinkingParam ReasoningEffortParam ReasoningContent
Tencent Cloud TokenHub (Personal Token Plan)	RawBaseUrl ThinkingParam ReasoningEffortParam ReasoningContent
Tencent Cloud Token Plan (Enterprise)	RawBaseUrl ThinkingParam ReasoningEffortParam ReasoningContent
Model Scope (API-Inference)	ThinkingParam3 ReasoningContent	Details
Cline Bot		Details
Volcano Engine	AutoThinking ThinkingParam2 VolcContextCaching	Details
Volcano Engine (Coding Plan)	AutoThinking ThinkingParam2
Byte Plus	AutoThinking ThinkingParam2 VolcContextCaching
DeepSeek	ThinkingParam ReasoningEffortParam ReasoningContent		✅
Gitee AI
Xiaomi MIMO	ThinkingParam ReasoningContent
Xiaomi MIMO (China, Token Plan)	ThinkingParam ReasoningContent
Xiaomi MIMO (Singapore, Token Plan)	ThinkingParam ReasoningContent
Xiaomi MIMO (Europe, Token Plan)	ThinkingParam ReasoningContent
Ollama Local
Ollama Cloud
LM Studio Local
StepFun (China)	ReasoningField
StepFun (International)	ReasoningField
ZhiPu AI	ThinkingParam ReasoningEffortParam ReasoningContent ClearThinking	Details
ZhiPu AI (Coding Plan)	ThinkingParam ReasoningEffortParam ReasoningContent ClearThinking
Z.AI	ThinkingParam ReasoningEffortParam ReasoningContent ClearThinking	Details
Z.AI (Coding Plan)	ThinkingParam ReasoningEffortParam ReasoningContent ClearThinking
MiniMax (China)	ReasoningDetails
MiniMax (International)	ReasoningDetails
LongCat		Details
Moonshot AI (China)	ThinkingParam ReasoningEffortParam ReasoningContent		✅
Moonshot AI (International)	ThinkingParam ReasoningEffortParam ReasoningContent		✅
Moonshot AI (Coding Plan)	ReasoningContent		✅
StreamLake Vanchin (China)		Details
StreamLake Vanchin (China, Coding Plan)
StreamLake Vanchin (International)		Details
StreamLake Vanchin (International, Coding Plan)
SiliconFlow (China)	ThinkingParam3 ThinkingBudgetParam ReasoningContent	Details	✅
SiliconFlow (International)	ThinkingParam3 ThinkingBudgetParam ReasoningContent	Details	✅

Experimental Supported Providers:

⚠️ Warning: Adding the following providers may violate their Terms of Service!

• Your account may be suspended or permanently banned.
• You need to accept the risks yourself; all risks are borne by you.

Provider	Free Quota	Balance Monitor
OpenAI Codex (ChatGPT Plus/Pro)		✅
xAI Grok Build (SuperGrok / X Premium+)
GitHub Copilot	Details
Google Antigravity	Details	✅
Google Gemini CLI	Details	✅
Claude Code
Zed
Synthetic	Details	✅

Long-Term Free Quotas:

Kilo Code

• Often includes free models, including stealth models and limited-time frontier models.
• Availability can change frequently, so check Kilo's latest listing in-app.

Cline Bot

• Supported models:
  • minimax/minimax-m2.5
  • kwaipilot/kat-coder-pro
  • z-ai/glm-5

GitHub Copilot

• Some models have free quotas, others require Copilot subscription. After subscription, it is completely free with monthly refreshing quotas.
• Supported models: Claude, GPT, Grok, Gemini and other mainstream models.

Google Antigravity

• Each model has a certain free quota, refreshing over time.
• Supported models: Claude 4.5 Series, Gemini 3.1 Series, Gemini 3 Series.

Google Gemini CLI

• Each model has a certain free quota, refreshing over time.
• Supported models: Gemini 3.1 Series, Gemini 3 Series, Gemini 2.5 Series.

Synthetic

• Provides various mainstream models via OpenAI-compatible API.
• Supported models: MiniMax M2.5, Qwen 3.5, Kimi K2.5, GLM 4.7, DeepSeek V3.2 / V3 / R1, Llama 3.3 and others.

Cerebras

• Some models have free quotas, refreshing over time.
• Supported models:
  • GLM 4.7
  • GPT-OSS-120B
  • Qwen 3 235B Instruct
  • ...

Nvidia

• Completely free, but with rate limits.
• Supports almost all open-source weight models.

Volcano Engine

• Each model has a certain free quota, refreshing over time.
• Supported models: Doubao, Kimi, DeepSeek and other mainstream models.

Model Scope

• Each model has a certain free quota, refreshing over time.
• Supported models: GLM, Kimi, Qwen, DeepSeek and other mainstream models.

ZhiPu AI / Z.AI

• Some models are completely free.
• Supported models: GLM Flash series models.

SiliconFlow

• Some models are completely free.
• Supported models: Mostly open-source weight models under 32B.

StreamLake

• Completely free, but with rate limits.
• Supported models:
  • KAT-Coder-Pro V2.5
  • KAT-Coder-Air V2.5

LongCat

• Has a certain free quota, refreshing over time.
• Supported models:
  • LongCat-Flash-Chat
  • LongCat-Flash-Thinking
  • LongCat-Flash-Thinking-2601
  • LongCat-Flash-Lite

OpenRouter

• Some models have certain free quotas, refreshing over time.
• Supported models: Frequently changing, models with 'free' in the name.

OpenCode Zen

• Some models are completely free.
• Supported models: Frequently changing, models with 'free' in the name.

Ollama Cloud

• Each model has a certain free quota, refreshing over time.
• Supports almost all open-source weight models.

Model Support Table

The models listed below support One-Click Add Models, and have built-in recommended parameters to help you get the best performance.

Tip

Even if a model is not listed, you can still use it via Add Model Manually and tune the parameters yourself.

Details

Vendor	Series	Supported Models
OpenAI	GPT-5 Series	GPT-5, GPT-5.1, GPT-5.2, GPT-5.4, GPT-5.5, GPT-5.6 Sol, GPT-5.6 Terra, GPT-5.6 Luna, GPT-5.4 pro, GPT-5.4 Mini, GPT-5.4 Nano, GPT-5.2 pro, GPT-5 mini, GPT-5 nano, GPT-5 pro, GPT-5-Codex, GPT-5.1-Codex, GPT-5.2-Codex, GPT-5.3-Codex, GPT-5.3-Codex-Spark, GPT-5.1-Codex-Max, GPT-5.1-Codex-mini, GPT-5.2 Chat, GPT-5.1 Chat, GPT-5 Chat
	GPT-4 Series	GPT-4o, GPT-4o mini, GPT-4o Search Preview, GPT-4o mini Search Preview, GPT-4.1, GPT-4.1 mini, GPT-4.1 nano, GPT-4.5 Preview, GPT-4 Turbo, GPT-4 Turbo Preview, GPT-4
	GPT-3 Series	GPT-3.5 Turbo, GPT-3.5 Turbo Instruct
	o Series	o1, o1 pro, o1 mini, o1 preview, o3, o3 mini, o3 pro, o4 mini
	oss Series	gpt-oss-120b, gpt-oss-20b
	Deep Research Series	o3 Deep Research, o4 mini Deep Research
	Other Models	babbage-002, davinci-002, Codex mini, Computer Use Preview
Google	Gemini 3.7 Series	gemini-3.7-flash
	Gemini 3.6 Series	gemini-3.6-flash
	Gemini 3.5 Series	gemini-3.5-flash, gemini-3.5-flash-lite
	Gemini 3.1 Series	gemini-3.1-pro-preview, gemini-3.1-flash-lite-preview
	Gemini 3 Series	gemini-3-pro-preview, gemini-3-flash-preview
	Gemini 2.5 Series	gemini-2.5-pro, gemini-2.5-flash, gemini-2.5-flash-lite
	Gemini 2.0 Series	gemini-2.0-flash, gemini-2.0-flash-lite
	Gemma 4 Series	Gemma 4 31B, Gemma 4 26B A4B, Gemma 4 E4B, Gemma 4 E2B
Anthropic	Claude 5 Series	Claude Fable 5, Claude Mythos 5, Claude Opus 5, Claude Sonnet 5
	Claude 4 Series	Claude Opus 4.8, Claude Opus 4.7, Claude Opus 4.6, Claude Sonnet 4.6, Claude Sonnet 4.5, Claude Haiku 4.5, Claude Opus 4.5, Claude Sonnet 4, Claude Opus 4.1, Claude Opus 4
	Claude 3 Series	Claude Sonnet 3.7, Claude Sonnet 3.5, Claude Haiku 3.5, Claude Haiku 3, Claude Opus 3
xAI	Grok 4.20 Series	Grok 4.20 0309 (Reasoning), Grok 4.20 0309 (Non-Reasoning)
	Grok 4 Series	Grok 4.6, Grok 4.5, Grok 4.1 Fast (Reasoning), Grok 4.1 Fast (Non-Reasoning), Grok 4, Grok 4 Fast (Reasoning), Grok 4 Fast (Non-Reasoning), Grok 4.3
	Grok Build Series	Grok Build 0.1
	Grok Code Series	Grok Code Fast 1
Cursor	Composer Series	Composer 2.5
	Grok 3 Series	Grok 3, Grok 3 Mini
	Grok 2 Series	Grok 2 Vision
Meta	Llama 3 Series	Llama 3.1 8B, Llama 3.1 70B, Llama 3.1 405B, Llama 3.3 70B
NVIDIA	Nemotron 3 Series	Nemotron 3 Super 120B A12B
DeepSeek	DeepSeek V4 Series	DeepSeek V4 Flash, DeepSeek V4 Pro
	Compatibility Aliases	DeepSeek Chat, DeepSeek Reasoner
	DeepSeek V3 Series	DeepSeek V3.2, DeepSeek V3.2 Exp, DeepSeek V3.2 Speciale, DeepSeek V3.1, DeepSeek V3.1 Terminus, DeepSeek V3, DeepSeek V3 (0324)
	DeepSeek R1 Series	DeepSeek R1, DeepSeek R1 (0528)
	DeepSeek V2.5 Series	DeepSeek V2.5
	DeepSeek V2 Series	DeepSeek V2
	DeepSeek VL Series	DeepSeek VL, DeepSeek VL2
	DeepSeek Coder Series	DeepSeek Coder, DeepSeek Coder V2
	DeepSeek Math Series	DeepSeek Math V2
ByteDance	Doubao 2.1 Series	Doubao Seed 2.1 Pro, Doubao Seed 2.1 Turbo
	Doubao 2.0 Series	Doubao Seed 2.0 Pro, Doubao Seed 2.0 Lite, Doubao Seed 2.0 Mini, Doubao Seed 2.0 Code Preview
	Doubao 1.8 Series	Doubao Seed 1.8, Doubao Seed Code Preview
	Doubao 1.6 Series	Doubao Seed 1.6, Doubao Seed 1.6 Lite, Doubao Seed 1.6 Flash, Doubao Seed 1.6 Vision
	Doubao 1.5 Series	Doubao 1.5 Pro 32k, Doubao 1.5 Pro 32k Character, Doubao 1.5 Lite 32k
	Other Models	Doubao Lite 32k Character
MiniMax	MiniMax M3 Series	MiniMax-M3
	MiniMax M2 Series	MiniMax-M2.7, MiniMax-M2.7-Highspeed, MiniMax-M2.5, MiniMax-M2.5-Highspeed, MiniMax-M2.1, MiniMax-M2.1-Highspeed, MiniMax-M2
LongCat	LongCat 2 Series	LongCat 2.0
	LongCat Flash Series	LongCat Flash Chat, LongCat Flash Thinking, LongCat Flash Thinking 2601, LongCat Flash Lite
StreamLake	KAT-Coder Series	KAT-Coder-Pro V2.5, KAT-Coder-Air V2.5, KAT-Coder-Pro V2, KAT-Coder-Pro V1, KAT-Coder-Exp-72B-1010, KAT-Coder-Air V1
Moonshot AI	Kimi K3 Series	Kimi K3
	Kimi K2.7 Series	Kimi K2.7 Code, Kimi K2.7 Code Highspeed
	Kimi K2.6 Series	Kimi K2.6
	Kimi K2.5 Series	Kimi K2.5
	Kimi K2 Series	Kimi K2 Thinking, Kimi K2 Thinking Turbo, Kimi K2 0905 Preview, Kimi K2 0711 Preview, Kimi K2 Turbo Preview, Kimi For Coding
Qwen	Qwen 3.8 Series	Qwen3.8-Max
	Qwen 3.7 Series	Qwen3.7-Max, Qwen3.7-Plus
	Qwen 3.6 Series	Qwen3.6-Max-Preview, Qwen3.6-Plus, Qwen3.6-Flash, Qwen3.6-35B-A3B
	Qwen 3.5 Series	Qwen3.5-Plus, Qwen3.5-Flash, Qwen3.5-397B-A17B, Qwen3.5-122B-A10B, Qwen3.5-27B, Qwen3.5-35B-A3B, Qwen3.5-9B, Qwen3.5-4B, Qwen3.5-2B, Qwen3.5-0.8B
	Qwen 3 Series	Qwen3-Max, Qwen3-Max-Thinking, Qwen3-Max Preview, Qwen3-Coder-Next, Qwen3-Coder-Plus, Qwen3-Coder-Flash, Qwen3-VL-Plus, Qwen3-VL-Flash, Qwen3-VL-32B-Instruct, Qwen3 0.6B, Qwen3 1.7B, Qwen3 4B, Qwen3 8B, Qwen3 14B, Qwen3 32B, Qwen3 30B A3B, Qwen3 235B A22B, Qwen3 30B A3B Thinking 2507, Qwen3 30B A3B Instruct 2507, Qwen3 235B A22B Thinking 2507, Qwen3 235B A22B Instruct 2507, Qwen3 Coder 480B A35B Instruct, Qwen3 Coder 30B A3B Instruct, Qwen3-Omni-Flash, Qwen3-Omni-Flash-Realtime, Qwen3-Omni 30B A3B Captioner, Qwen-Omni-Turbo, Qwen-Omni-Turbo-Realtime, Qwen3-VL 235B A22B Thinking, Qwen3-VL 235B A22B Instruct, Qwen3-VL 32B Thinking, Qwen3-VL 30B A3B Thinking, Qwen3-VL 30B A3B Instruct, Qwen3-VL 8B Thinking, Qwen3-VL 8B Instruct, Qwen3 Next 80B A3B Thinking, Qwen3 Next 80B A3B Instruct, Qwen-Plus, Qwen-Flash, Qwen-Turbo, Qwen-Max, Qwen-Long, Qwen-Doc-Turbo, Qwen Deep Research
	Qwen 2.5 Series	Qwen2.5 0.5B Instruct, Qwen2.5 1.5B Instruct, Qwen2.5 3B Instruct, Qwen2.5 7B Instruct, Qwen2.5 14B Instruct, Qwen2.5 32B Instruct, Qwen2.5 72B Instruct, Qwen2.5 7B Instruct (1M), Qwen2.5 14B Instruct (1M), Qwen2.5 Coder 0.5B Instruct, Qwen2.5 Coder 1.5B Instruct, Qwen2.5 Coder 3B Instruct, Qwen2.5 Coder 7B Instruct, Qwen2.5 Coder 14B Instruct, Qwen2.5 Coder 32B Instruct, Qwen2.5 Math 1.5B Instruct, Qwen2.5 Math 7B Instruct, Qwen2.5 Math 72B Instruct, Qwen2.5-VL 3B Instruct, Qwen2.5-VL 7B Instruct, Qwen2.5-VL 32B Instruct, Qwen2.5-Omni-7B, Qwen2 7B Instruct, Qwen2 72B Instruct, Qwen2 57B A14B Instruct, Qwen2-VL 72B Instruct
	Qwen 1.5 Series	Qwen1.5 7B Chat, Qwen1.5 14B Chat, Qwen1.5 32B Chat, Qwen1.5 72B Chat, Qwen1.5 110B Chat
	QwQ/QvQ Series	QwQ-Plus, QwQ 32B, QwQ 32B Preview, QVQ-Max, QVQ-Plus, QVQ 72B Preview
	Qwen Coder Series	Qwen-Coder-Plus, Qwen-Coder-Turbo
	Other Models	Qwen-Math-Plus, Qwen-Math-Turbo, Qwen-VL-OCR, Qwen-VL-Max, Qwen-VL-Plus, Qwen-Plus Character (JA)
Xiaomi MIMO	MiMo V2.5 Series	MiMo V2.5 Pro UltraSpeed, MiMo V2.5 Pro, MiMo V2.5
	MiMo V2 Series	MiMo V2 Pro, MiMo V2 Omni, MiMo V2 Flash
ZhiPu AI	GLM 5 Series	GLM-5.3, GLM-5.2, GLM-5.1, GLM-5, GLM-5V-Turbo, GLM-5-Turbo
	GLM 4 Series	GLM-4.7, GLM-4.7-Flash, GLM-4.7-FlashX, GLM-4.6, GLM-4.5, GLM-4.5-X, GLM-4.5-Air, GLM-4.5-AirX, GLM-4-Plus, GLM-4-Air-250414, GLM-4-Long, GLM-4-AirX, GLM-4-FlashX-250414, GLM-4.5-Flash, GLM-4-Flash-250414, GLM-4.6V, GLM-4.5V, GLM-4.1V-Thinking-FlashX, GLM-4.6V-Flash, GLM-4.1V-Thinking-Flash
	CodeGeeX Series	CodeGeeX-4
Tencent HY	HY 3.0 Series	HY 3
	HY 2.0 Series	HY 2.0 Think, HY 2.0 Instruct
	HY 1.5 Series	HY Vision 1.5 Instruct
StepFun	Step 3 Series	Step 3, Step 3.5 Flash
	Step 2 Series	Step 2 16k, Step 2 16k Exp, Step 2 Mini
	Step 1 Series	Step 1 8k, Step 1 32k, Step 1 128k, Step 1 256k, Step 1o Turbo Vision, Step 1o Vision 32k, Step 1v 8k, Step 1v 32k, Step R1 V Mini
OpenCode Zen	Zen	Big Pickle
Zed	Zeta Series	Zeta, Zeta 2, Zeta 2.1
Inception	Mercury Series	Mercury 2, Mercury Edit 2
Mistral AI	Mistral Series	Mistral Medium 3.5, Mistral Small
	Codestral Series	Codestral

Application Migration Support Table

The applications listed below support One-Click Migration.

Details

Application	Notes
Claude Code	Migration is supported only when using a custom Base URL and API Key.
Codex	Supports Base URL, API Key, and OAuth.
Gemini CLI	Migration is supported only when using the following auth methods: GEMINI_API_KEY, GOOGLE_API_KEY, GOOGLE_APPLICATION_CREDENTIALS.

Contributing

• Feel free to open an issue to report bugs, request features, or ask for support of new providers/models.
• Pull requests are welcome. See the roadmap.

Development

Prerequisite: Node.js 24.12 or later.

• Build: npm run compile
• Watch: npm run watch
• Unit checks: npm run test:unit
• Full non-E2E checks: npm run check
• E2E tests: npm run test:e2e
• Check for chat-lib updates: npm run extract:chat-lib -- --source /path/to/vscode --check
• Update the chat-lib source: npm run extract:chat-lib -- --source /path/to/vscode
• Verify the chat-lib port: npm run verify:chat-lib
• New release: npm run release
• GitHub Actions release: Actions → Release (VS Code Extension) → Run workflow

License

MIT @ SmallMain

Acknowledgements

• Awesome Codex CLI
• LINUX.DO