Latest Release: Version 3.x supports AI SDK v6 stable with the Claude Agent SDK. For AI SDK v5 support, use the
ai-sdk-v5tag.
ai-sdk-provider-claude-code lets you use Claude via the Vercel AI SDK through the official @anthropic-ai/claude-agent-sdk and the Claude Code CLI.
| Provider Version | AI SDK Version | Underlying SDK | NPM Tag | Status | Branch |
|---|---|---|---|---|---|
| 3.x.x | v6 | @anthropic-ai/claude-agent-sdk |
latest |
Stable | main |
| 2.x.x | v5 | @anthropic-ai/claude-agent-sdk |
ai-sdk-v5 |
Stable | ai-sdk-v5 |
| 1.x.x | v5 | @anthropic-ai/claude-code (legacy) |
v1-claude-code-sdk |
Legacy | v1 |
| 0.x.x | v4 | @anthropic-ai/claude-code (legacy) |
ai-sdk-v4 |
Legacy | ai-sdk-v4 |
For AI SDK v6 (recommended):
npm install ai-sdk-provider-claude-code ai@^6.0.0
# or explicitly: npm install ai-sdk-provider-claude-code@latestFor AI SDK v5:
npm install ai-sdk-provider-claude-code@ai-sdk-v5 ai@^5.0.0For AI SDK v4 (legacy):
npm install ai-sdk-provider-claude-code@ai-sdk-v4 ai@^4.3.16
# or use specific version: npm install ai-sdk-provider-claude-code@^0.2.2Starting from v3.2.0, this package requires Zod 4.
npm install ai-sdk-provider-claude-code ai zod@^4.0.0Note: Zod 3 support was dropped in v3.2.0 due to the underlying
@anthropic-ai/[email protected]requiring Zod 4. If you need Zod 3 support, use[email protected].
npm install -g @anthropic-ai/claude-code
claude login# For AI SDK v6 (recommended)
npm install ai-sdk-provider-claude-code ai@^6.0.0
# For AI SDK v5
npm install ai-sdk-provider-claude-code@ai-sdk-v5 ai@^5.0.0
# For AI SDK v4 (legacy)
npm install ai-sdk-provider-claude-code@ai-sdk-v4 ai@^4.3.16This is an unofficial community provider and is not affiliated with or endorsed by Anthropic or Vercel. By using this provider:
- You understand that your data will be sent to Anthropic's servers through the Claude Code SDK
- You agree to comply with Anthropic's Terms of Service
- You acknowledge this software is provided "as is" without warranties of any kind
Please ensure you have appropriate permissions and comply with all applicable terms when using this provider.
import { streamText } from 'ai';
import { claudeCode } from 'ai-sdk-provider-claude-code';
const result = streamText({
model: claudeCode('haiku'),
prompt: 'Hello, Claude!',
});
const text = await result.text;
console.log(text);// npm install ai-sdk-provider-claude-code@ai-sdk-v5 ai@^5.0.0
import { streamText } from 'ai';
import { claudeCode } from 'ai-sdk-provider-claude-code';
const result = streamText({
model: claudeCode('haiku'),
prompt: 'Hello, Claude!',
});
const text = await result.text;
console.log(text);This version upgrades to AI SDK v6 stable with updated provider types:
usage.rawnow contains raw provider usage (previously inproviderMetadata['claude-code'].rawUsage)- Internal type changes for
LanguageModelV3UsageandLanguageModelV3FinishReason(transparent to most users)
This version migrates to @anthropic-ai/claude-agent-sdk with new defaults for better control:
- System prompt is no longer applied by default
- Filesystem settings (CLAUDE.md, settings.json) are no longer loaded by default
- See Migrating to Claude Agent SDK section below for migration details
See Breaking Changes Guide for details on migrating from v0.x to v1.x.
Key changes:
- Requires AI SDK v5
- New streaming API pattern
- Updated token usage properties
- Changed message types
opus- Claude Opus (most capable)sonnet- Claude Sonnet (balanced performance)haiku- Claude Haiku (fastest, most cost-effective)
You can also use full model identifiers directly (e.g., claude-opus-4-5, claude-sonnet-4-5-20250514).
- Usage Guide - Comprehensive examples and configuration
- Breaking Changes - v0.x to v1.x migration guide
- Troubleshooting - Common issues and solutions
- Examples - Sample scripts and patterns
- Tool Streaming Support - Event semantics and performance notes
Version 2.0.0 migrates from @anthropic-ai/claude-code to @anthropic-ai/claude-agent-sdk. Two defaults changed:
- System prompt is no longer applied by default.
- Filesystem settings (CLAUDE.md, settings.json) are not loaded by default.
Restore old behavior explicitly:
import { claudeCode } from 'ai-sdk-provider-claude-code';
const model = claudeCode('sonnet', {
systemPrompt: { type: 'preset', preset: 'claude_code' },
settingSources: ['user', 'project', 'local'],
});CLAUDE.md requires:
systemPrompt: { type: 'preset', preset: 'claude_code' }settingSourcesincludes'project'
New recommended behavior (explicit config):
const model = claudeCode('sonnet', {
systemPrompt: 'You are a helpful assistant specialized in ...',
settingSources: ['project'], // or omit for no filesystem settings
});CLI install and auth are unchanged:
npm install -g @anthropic-ai/claude-code
claude loginIf you're upgrading from version 1.x:
- Update the package:
npm install ai-sdk-provider-claude-code@latest - If you relied on default system prompt or CLAUDE.md, add explicit configuration:
const model = claudeCode('sonnet', { systemPrompt: { type: 'preset', preset: 'claude_code' }, settingSources: ['user', 'project', 'local'], });
- If you never used CLAUDE.md or custom system prompts, no changes needed - v2.0.0 works the same for you.
Benefits of v2.0.0:
- Predictable behavior across environments (no hidden filesystem settings)
- Better suited for CI/CD and multi-tenant applications
- Explicit configuration over implicit defaults
- Future-proof alignment with Claude Agent SDK design
This provider supports native structured outputs via the Claude Agent SDK (v0.1.45+). When using generateObject() or streamObject(), the SDK returns schema-compliant JSON for supported JSON Schema features via constrained decoding.
import { generateObject } from 'ai';
import { claudeCode } from 'ai-sdk-provider-claude-code';
import { z } from 'zod';
const result = await generateObject({
model: claudeCode('sonnet'),
schema: z.object({
name: z.string(),
age: z.number(),
email: z.string().describe('Email address (validate client-side)'),
}),
prompt: 'Generate a user profile for a software developer',
});
console.log(result.object); // Matches the schema above
// { name: "Alex Chen", age: 28, email: "alex@example.com" }Benefits:
- ✅ Schema compliance (supported features) - Constrained decoding ensures valid output
- ✅ No JSON parsing errors - SDK handles all validation
- ✅ No prompt engineering - Schema enforcement is native to the SDK
- ✅ Better performance - No retry/extraction logic needed
Note: A schema is required for JSON output. Using
responseFormat: { type: 'json' }without a schema is not supported by Claude Code (matching Anthropic's official provider behavior). Anunsupported-settingwarning will be emitted and the call will be treated as plain text.Current CLI limitation: Some JSON Schema features can cause the Claude Code CLI to silently fall back to prose (no
structured_output). This includesformatconstraints (e.g.,uri) and complex regex patterns (lookaheads/backreferences). Workaround: keep the generation schema simple, then validate with a stricter schema client-side. Seeexamples/structured-output-repro.tsandexamples/limitations.ts.
- 🚀 Vercel AI SDK compatibility
- 🔄 Streaming support
- 💬 Multi-turn conversations
- 🎯 Native structured outputs with schema compliance for supported features
- 🛑 AbortSignal support
- 🔧 Tool management (MCP servers, permissions)
- 🧩 Callbacks (hooks, canUseTool)
This provider exposes Agent SDK options directly. Key options include:
| Option | Description |
|---|---|
betas |
Enable beta features (e.g., ['context-1m-2025-08-07']) |
sandbox |
Configure sandbox behavior ({ enabled: true }) |
plugins |
Load custom plugins from local paths |
resumeSessionAt |
Resume session at a specific message UUID |
enableFileCheckpointing |
Enable file rewind support |
maxBudgetUsd |
Maximum budget in USD for the query |
tools |
Tool configuration (array of names or preset) |
allowDangerouslySkipPermissions |
Allow bypassing permissions |
persistSession |
When false, disables session persistence to disk (v3.2.0+) |
spawnClaudeCodeProcess |
Custom process spawner for VMs/containers (v3.2.0+) |
permissionMode |
Permission mode: 'default', 'acceptEdits', 'bypassPermissions', 'plan', 'delegate', 'dontAsk' |
Agent definitions (agents) now support additional fields (v3.2.0+):
disallowedTools- Tools to explicitly disallow for the agentmcpServers- MCP servers available to the agentcriticalSystemReminder_EXPERIMENTAL- Experimental critical reminder
See ClaudeCodeSettings for the full list of supported options (e.g., allowedTools, disallowedTools, hooks, canUseTool, env, settingSources).
For options not explicitly exposed, use the sdkOptions escape hatch. It overrides explicit settings,
but provider-managed fields are ignored (model, abortController, prompt, outputFormat).
If you set sdkOptions.resume, it also drives the streaming prompt session_id so the SDK
and prompt target the same session.
const model = claudeCode('sonnet', {
betas: ['context-1m-2025-08-07'],
sandbox: { enabled: true },
persistSession: false, // Don't persist session to disk
sdkOptions: {
maxBudgetUsd: 1,
resume: 'session-abc',
},
});This provider supports mid-session message injection for supervisor patterns, allowing you to interrupt, redirect, or provide feedback to an agent during execution.
import { streamText } from 'ai';
import { claudeCode, type MessageInjector } from 'ai-sdk-provider-claude-code';
let injector: MessageInjector | null = null;
const result = streamText({
model: claudeCode('haiku', {
streamingInput: 'always', // Required for injection
onStreamStart: (inj) => {
injector = inj;
// Example: Inject after 5 seconds
setTimeout(() => {
injector?.inject('STOP! Change of plans - do something else.');
}, 5000);
},
}),
prompt: 'Write 10 files with poems...',
});
for await (const chunk of result.textStream) {
process.stdout.write(chunk);
}Requirements:
streamingInput: 'always'or'auto'withcanUseToolset- Messages injected via
inject(content)are delivered to the agent mid-turn
Important: Injection works between tool calls, not during continuous text generation. Use tasks that involve tool usage (file operations, bash commands, etc.) for effective mid-turn interruption.
Use Cases:
- Stop an agent mid-task
- Redirect to a different goal
- Provide real-time feedback
- Implement human-in-the-loop approval workflows
API:
inject(content: string, onResult?: (delivered: boolean) => void)- Inject a user message. Optional callback reports delivery status.close()- Signal no more messages will be injected
Delivery Tracking:
injector.inject('STOP!', (delivered) => {
if (!delivered) {
// Session ended before message was delivered
// Handle retry via session resume, etc.
}
});See examples/message-injection.ts for complete examples including conditional injection and supervisor approval patterns.
- Enable streaming input (
streamingInput: 'always'or providecanUseTool) before sending images. - Supported payloads: data URLs (
data:image/png;base64,...), strings prefixed withbase64:<mediaType>,<data>, or objects{ data: '<base64>', mimeType: 'image/png' }. - Remote HTTP(S) image URLs are ignored with the warning "Image URLs are not supported by this provider; supply base64/data URLs." (
supportsImageUrlsremainsfalse). - When streaming input is disabled, image parts trigger the streaming prerequisite warning and are omitted from the request.
- Use realistic image payloads—very small placeholders may result in the model asking for a different image.
examples/images.tsaccepts a local image path and converts it to a data URL on the fly:npx tsx examples/images.ts /absolute/path/to/image.png.
Claude Code supports Skills - custom tools and capabilities defined in your user or project settings. To enable skills, configure both settingSources and allowedTools:
import { claudeCode } from 'ai-sdk-provider-claude-code';
import { streamText } from 'ai';
const result = await streamText({
model: claudeCode('sonnet', {
settingSources: ['user', 'project'],
allowedTools: ['Skill', 'Read', 'Write', 'Bash'],
}),
prompt: 'Use my /custom-skill to help with this task',
});Requirements:
settingSources- Where to load skills from ('user','project','local')allowedToolsmust include'Skill'to invoke skills
Where to define Skills:
- User:
~/.claude/skills/your-skill/SKILL.md - Project:
.claude/skills/your-skill/SKILL.md
Validation: If you add 'Skill' to allowedTools but forget to set settingSources, a validation warning will alert you that skills won't load.
See examples/skills-management.ts for more examples.
- Requires Node.js ≥ 18
- Image inputs require streaming mode with base64/data URLs (remote fetch is not supported)
- Some AI SDK parameters unsupported (temperature, maxTokens, etc.)
canUseToolrequires streaming input at the SDK level (AsyncIterable prompt). This provider supports it viastreamingInput: use'auto'(default whencanUseToolis set) or'always'. See GUIDE for details.
- In addition to
tool-callandtool-result, this provider emits a distincttool-errorstream event when a tool execution fails. - For parity with other tool events,
tool-errorincludesproviderExecuted: trueandproviderMetadata['claude-code'](e.g.,rawError). These fields are documented extensions; downstream consumers may safely ignore them if unused. - See Tool Streaming Support for full event list, ordering guarantees, and performance considerations.
This provider handles Anthropic content_block_* stream events directly for more responsive UIs:
- Tool input streaming —
tool-input-deltastreams arguments incrementally;tool-callemits when the tool input block completes (before results), enabling “running” state in UIs. - Text streaming —
text-start/delta/endemitted from content blocks with proper lifecycle management. - Extended thinking —
reasoning-start/delta/endemitted fromthinkingcontent blocks (availability depends on model and request).
For subagent parent/child tracking, see Subagent Hierarchy Tracking in this README.
When Claude Code spawns subagents via the Task tool, this provider exposes parent-child relationships through providerMetadata:
// Available on tool-input-start, tool-call, tool-result, and tool-error events
providerMetadata['claude-code'].parentToolCallId: string | null;- Task tools: Always null (top-level)
- Child tools: Reference their parent Task's ID
- Parallel Tasks: Child returns null if parent is ambiguous
This enables UIs to build hierarchical views of nested agent execution.
We welcome contributions, especially:
- Code structure improvements
- Performance optimizations
- Better error handling
- Additional examples
See Contributing Guidelines for details.
For development status and technical details, see Development Status.
MIT