Retrieve Model - Anthropic Models API Beta Reference

Trust: ★★★☆☆ (0.90) · 0 validations · developer_reference

Published: 2026-05-10 · Source: crawler_authoritative

Tình huống

Anthropic Models API reference for the retrieve method, which retrieves information about a specific model or resolves a model alias to a model ID using the TypeScript SDK.

Insight

The client.beta.models.retrieve(string modelID, ModelRetrieveParams params?, RequestOptions options?) method sends a GET request to /v1/models/{model_id} and returns a BetaModelInfo object. The method accepts a model identifier or alias as the first parameter. Optional params can specify beta version(s) via the betas array, supporting values like ‘message-batches-2024-09-24’, ‘prompt-caching-2024-07-31’, ‘computer-use-2024-10-22’, ‘computer-use-2025-01-24’, ‘pdfs-2024-09-25’, ‘token-counting-2024-11-01’, ‘token-efficient-tools-2025-02-19’, ‘output-128k-2025-02-19’, ‘files-api-2025-04-14’, ‘mcp-client-2025-04-04’, ‘mcp-client-2025-11-20’, ‘dev-full-thinking-2025-05-14’, ‘interleaved-thinking-2025-05-14’, ‘code-execution-2025-05-22’, ‘extended-cache-ttl-2025-04-11’, ‘context-1m-2025-08-07’, ‘context-management-2025-06-27’, ‘model-context-window-exceeded-2025-08-26’, ‘skills-2025-10-02’, ‘fast-mode-2026-02-01’, ‘output-300k-2026-03-24’, ‘user-profiles-2026-03-24’, ‘advisor-tool-2026-03-01’, and ‘managed-agents-2026-04-01’. The returned BetaModelInfo includes: id (unique model identifier), capabilities object with support for batch, citations, code_execution, context_management strategies (clear_thinking_20251015, clear_tool_uses_20250919, compact_20260112), effort levels (high, low, max, medium, xhigh), image_input, pdf_input, structured_outputs, and thinking capability with types (adaptive, enabled). Additional fields include created_at (RFC 3339 datetime), display_name, max_input_tokens, max_tokens, and type set to ‘model’.

Hành động

Call client.beta.models.retrieve() with a model ID string. Optionally pass a ModelRetrieveParams object containing a betas array to specify beta API versions to use. The method returns a promise resolving to BetaModelInfo with model metadata and capability flags. Example usage: const betaModelInfo = await client.beta.models.retrieve('model_id'); followed by accessing betaModelInfo.id. Ensure the Anthropic SDK is installed (@anthropic-ai/sdk) and API key is configured via environment variable ANTHROPIC_API_KEY or constructor option.

Kết quả

Returns a BetaModelInfo object containing the model’s unique identifier, human-readable display name, creation timestamp, token limits (max_input_tokens, max_tokens), type (‘model’), and a capabilities object indicating which features the model supports (batch, citations, code execution, context management strategies, effort levels, image/pdf input, structured outputs, thinking modes).

Điều kiện áp dụng

This is the beta API version of the Models endpoint. Requires @anthropic-ai/sdk package.


Nội dung gốc (Original)

Retrieve

client.beta.models.retrieve(stringmodelID, ModelRetrieveParamsparams?, RequestOptionsoptions?): BetaModelInfo

get /v1/models/{model_id}

Get a specific model.

The Models API response can be used to determine information about a specific model or resolve a model alias to a model ID.

Parameters

  • modelID: string

    Model identifier or alias.

  • params: ModelRetrieveParams

    • betas?: Array<AnthropicBeta>

      Optional header to specify the beta version(s) you want to use.

      • (string & {})

      • "message-batches-2024-09-24" | "prompt-caching-2024-07-31" | "computer-use-2024-10-22" | 21 more

        • "message-batches-2024-09-24"

        • "prompt-caching-2024-07-31"

        • "computer-use-2024-10-22"

        • "computer-use-2025-01-24"

        • "pdfs-2024-09-25"

        • "token-counting-2024-11-01"

        • "token-efficient-tools-2025-02-19"

        • "output-128k-2025-02-19"

        • "files-api-2025-04-14"

        • "mcp-client-2025-04-04"

        • "mcp-client-2025-11-20"

        • "dev-full-thinking-2025-05-14"

        • "interleaved-thinking-2025-05-14"

        • "code-execution-2025-05-22"

        • "extended-cache-ttl-2025-04-11"

        • "context-1m-2025-08-07"

        • "context-management-2025-06-27"

        • "model-context-window-exceeded-2025-08-26"

        • "skills-2025-10-02"

        • "fast-mode-2026-02-01"

        • "output-300k-2026-03-24"

        • "user-profiles-2026-03-24"

        • "advisor-tool-2026-03-01"

        • "managed-agents-2026-04-01"

Returns

  • BetaModelInfo

    • id: string

      Unique model identifier.

    • capabilities: BetaModelCapabilities | null

      Model capability information.

      • batch: BetaCapabilitySupport

        Whether the model supports the Batch API.

        • supported: boolean

          Whether this capability is supported by the model.

      • citations: BetaCapabilitySupport

        Whether the model supports citation generation.

        • supported: boolean

          Whether this capability is supported by the model.

      • code_execution: BetaCapabilitySupport

        Whether the model supports code execution tools.

        • supported: boolean

          Whether this capability is supported by the model.

      • context_management: BetaContextManagementCapability

        Context management support and available strategies.

        • clear_thinking_20251015: BetaCapabilitySupport | null

          Indicates whether a capability is supported.

          • supported: boolean

            Whether this capability is supported by the model.

        • clear_tool_uses_20250919: BetaCapabilitySupport | null

          Indicates whether a capability is supported.

          • supported: boolean

            Whether this capability is supported by the model.

        • compact_20260112: BetaCapabilitySupport | null

          Indicates whether a capability is supported.

          • supported: boolean

            Whether this capability is supported by the model.

        • supported: boolean

          Whether this capability is supported by the model.

      • effort: BetaEffortCapability

        Effort (reasoning_effort) support and available levels.

        • high: BetaCapabilitySupport

          Whether the model supports high effort level.

          • supported: boolean

            Whether this capability is supported by the model.

        • low: BetaCapabilitySupport

          Whether the model supports low effort level.

          • supported: boolean

            Whether this capability is supported by the model.

        • max: BetaCapabilitySupport

          Whether the model supports max effort level.

          • supported: boolean

            Whether this capability is supported by the model.

        • medium: BetaCapabilitySupport

          Whether the model supports medium effort level.

          • supported: boolean

            Whether this capability is supported by the model.

        • supported: boolean

          Whether this capability is supported by the model.

        • xhigh: BetaCapabilitySupport | null

          Indicates whether a capability is supported.

          • supported: boolean

            Whether this capability is supported by the model.

      • image_input: BetaCapabilitySupport

        Whether the model accepts image content blocks.

        • supported: boolean

          Whether this capability is supported by the model.

      • pdf_input: BetaCapabilitySupport

        Whether the model accepts PDF content blocks.

        • supported: boolean

          Whether this capability is supported by the model.

      • structured_outputs: BetaCapabilitySupport

        Whether the model supports structured output / JSON mode / strict tool schemas.

        • supported: boolean

          Whether this capability is supported by the model.

      • thinking: BetaThinkingCapability

        Thinking capability and supported type configurations.

        • supported: boolean

          Whether this capability is supported by the model.

        • types: BetaThinkingTypes

          Supported thinking type configurations.

          • adaptive: BetaCapabilitySupport

            Whether the model supports thinking with type ‘adaptive’ (auto).

            • supported: boolean

              Whether this capability is supported by the model.

          • enabled: BetaCapabilitySupport

            Whether the model supports thinking with type ‘enabled’.

            • supported: boolean

              Whether this capability is supported by the model.

    • created_at: string

      RFC 3339 datetime string representing the time at which the model was released. May be set to an epoch value if the release date is unknown.

    • display_name: string

      A human-readable name for the model.

    • max_input_tokens: number | null

      Maximum input context window size in tokens for this model.

    • max_tokens: number | null

      Maximum value for the max_tokens parameter when using this model.

    • type: "model"

      Object type.

      For Models, this is always "model".

      • "model"

Example

import Anthropic from '@anthropic-ai/sdk';
 
const client = new Anthropic({
  apiKey: process.env['ANTHROPIC_API_KEY'], // This is the default and can be omitted
});
 
const betaModelInfo = await client.beta.models.retrieve('model_id');
 
console.log(betaModelInfo.id);

Liên kết

Xem thêm: