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Anthropic Claude

v3

Class: AnthropicClaudeBlockV3 (there are multiple versions of this block)

Source: inference.core.workflows.core_steps.models.foundation.anthropic_claude.v3.AnthropicClaudeBlockV3

Warning: This block has multiple versions. Please refer to the specific version for details. You can learn more about how versions work here: Versioning

Ask a question to Anthropic Claude model with vision capabilities.

You can specify arbitrary text prompts or predefined ones, the block supports the following types of prompt:

  • Open Prompt (unconstrained) - Use any prompt to generate a raw response

  • Text Recognition (OCR) (ocr) - Model recognizes text in the image

  • Visual Question Answering (visual-question-answering) - Model answers the question you submit in the prompt

  • Captioning (short) (caption) - Model provides a short description of the image

  • Captioning (detailed-caption) - Model provides a long description of the image

  • Single-Label Classification (classification) - Model classifies the image content as one of the provided classes

  • Multi-Label Classification (multi-label-classification) - Model classifies the image content as one or more of the provided classes

  • Unprompted Object Detection (object-detection) - Model detects and returns the bounding boxes for prominent objects in the image

  • Structured Output Generation (structured-answering) - Model returns a JSON response with the specified fields

API Key Options

This block supports two API key modes:

  1. Roboflow Managed API Key (Default) - Use rf_key:account to proxy requests through Roboflow's API:
  2. Simplified setup - no Anthropic API key required
  3. Secure - your workflow API key is used for authentication

  4. Usage-based billing - charged per token based on the model used

  5. Custom Anthropic API Key - Provide your own Anthropic API key:

  6. Full control over API usage
  7. You pay Anthropic directly

Type identifier

Use the following identifier in step "type" field: roboflow_core/anthropic_claude@v3to add the block as as step in your workflow.

Properties

Name Type Description Refs
name str Enter a unique identifier for this step.. ❌
task_type str Task type to be performed by model. Value determines required parameters and output response.. ❌
prompt str Text prompt to the Claude model. ✅
output_structure Dict[str, str] Dictionary with structure of expected JSON response. ❌
classes List[str] List of classes to be used. ✅
api_key str Your Anthropic API key or 'rf_key:account' to use Roboflow's managed API key. ✅
model_version str Model to be used. ✅
extended_thinking bool Enable extended thinking for deeper reasoning on complex tasks. Note: temperature cannot be used when extended thinking is enabled.. ❌
thinking_budget_tokens int Maximum number of tokens for internal thinking when extended thinking is enabled. Higher values allow deeper reasoning but increase latency and cost. Must be less than max_tokens. Minimum: 1024.. ❌
max_tokens int Maximum number of tokens the model can generate in its response.. ❌
temperature float Temperature to sample from the model - value in range 0.0-1.0, the higher - the more random / "creative" the generations are. Cannot be used when extended_thinking is enabled.. ✅
max_image_size int Maximum size of the image - if input has larger side, it will be downscaled, keeping aspect ratio. ✅
max_concurrent_requests int Number of concurrent requests that can be executed by block when batch of input images provided. If not given - block defaults to value configured globally in Workflows Execution Engine. Please restrict if you hit Anthropic API limits.. ❌

The Refs column marks possibility to parametrise the property with dynamic values available in workflow runtime. See Bindings for more info.

Available Connections

Compatible Blocks

Check what blocks you can connect to Anthropic Claude in version v3.

Input and Output Bindings

The available connections depend on its binding kinds. Check what binding kinds Anthropic Claude in version v3 has.

Bindings

  • input

    • images (image): The image to infer on..
    • prompt (string): Text prompt to the Claude model.
    • classes (list_of_values): List of classes to be used.
    • api_key (Union[string, ROBOFLOW_MANAGED_KEY, secret]): Your Anthropic API key or 'rf_key:account' to use Roboflow's managed API key.
    • model_version (string): Model to be used.
    • temperature (float): Temperature to sample from the model - value in range 0.0-1.0, the higher - the more random / "creative" the generations are. Cannot be used when extended_thinking is enabled..
    • max_image_size (integer): Maximum size of the image - if input has larger side, it will be downscaled, keeping aspect ratio.

  • output

Example JSON definition of step Anthropic Claude in version v3 
{
    "name": "<your_step_name_here>",
    "type": "roboflow_core/anthropic_claude@v3",
    "images": "$inputs.image",
    "task_type": "<block_does_not_provide_example>",
    "prompt": "my prompt",
    "output_structure": {
        "my_key": "description"
    },
    "classes": [
        "class-a",
        "class-b"
    ],
    "api_key": "rf_key:account",
    "model_version": "claude-sonnet-4-5",
    "extended_thinking": "<block_does_not_provide_example>",
    "thinking_budget_tokens": "<block_does_not_provide_example>",
    "max_tokens": "<block_does_not_provide_example>",
    "temperature": "<block_does_not_provide_example>",
    "max_image_size": "<block_does_not_provide_example>",
    "max_concurrent_requests": "<block_does_not_provide_example>"
}

v2

Class: AnthropicClaudeBlockV2 (there are multiple versions of this block)

Source: inference.core.workflows.core_steps.models.foundation.anthropic_claude.v2.AnthropicClaudeBlockV2

Warning: This block has multiple versions. Please refer to the specific version for details. You can learn more about how versions work here: Versioning

Ask a question to Anthropic Claude model with vision capabilities.

You can specify arbitrary text prompts or predefined ones, the block supports the following types of prompt:

  • Open Prompt (unconstrained) - Use any prompt to generate a raw response

  • Text Recognition (OCR) (ocr) - Model recognizes text in the image

  • Visual Question Answering (visual-question-answering) - Model answers the question you submit in the prompt

  • Captioning (short) (caption) - Model provides a short description of the image

  • Captioning (detailed-caption) - Model provides a long description of the image

  • Single-Label Classification (classification) - Model classifies the image content as one of the provided classes

  • Multi-Label Classification (multi-label-classification) - Model classifies the image content as one or more of the provided classes

  • Unprompted Object Detection (object-detection) - Model detects and returns the bounding boxes for prominent objects in the image

  • Structured Output Generation (structured-answering) - Model returns a JSON response with the specified fields

You need to provide your Anthropic API key to use the Claude model.

Type identifier

Use the following identifier in step "type" field: roboflow_core/anthropic_claude@v2to add the block as as step in your workflow.

Properties

Name Type Description Refs
name str Enter a unique identifier for this step.. ❌
task_type str Task type to be performed by model. Value determines required parameters and output response.. ❌
prompt str Text prompt to the Claude model. ✅
output_structure Dict[str, str] Dictionary with structure of expected JSON response. ❌
classes List[str] List of classes to be used. ✅
api_key str Your Anthropic API key. ✅
model_version str Model to be used. ✅
extended_thinking bool Enable extended thinking for deeper reasoning on complex tasks. Note: temperature cannot be used when extended thinking is enabled.. ❌
thinking_budget_tokens int Maximum number of tokens for internal thinking when extended thinking is enabled. Higher values allow deeper reasoning but increase latency and cost. Must be less than max_tokens. Minimum: 1024.. ❌
max_tokens int Maximum number of tokens the model can generate in its response.. ❌
temperature float Temperature to sample from the model - value in range 0.0-1.0, the higher - the more random / "creative" the generations are. Cannot be used when extended_thinking is enabled.. ✅
max_image_size int Maximum size of the image - if input has larger side, it will be downscaled, keeping aspect ratio. ✅
max_concurrent_requests int Number of concurrent requests that can be executed by block when batch of input images provided. If not given - block defaults to value configured globally in Workflows Execution Engine. Please restrict if you hit Anthropic API limits.. ❌

The Refs column marks possibility to parametrise the property with dynamic values available in workflow runtime. See Bindings for more info.

Available Connections

Compatible Blocks

Check what blocks you can connect to Anthropic Claude in version v2.

Input and Output Bindings

The available connections depend on its binding kinds. Check what binding kinds Anthropic Claude in version v2 has.

Bindings

  • input

    • images (image): The image to infer on..
    • prompt (string): Text prompt to the Claude model.
    • classes (list_of_values): List of classes to be used.
    • api_key (Union[string, secret]): Your Anthropic API key.
    • model_version (string): Model to be used.
    • temperature (float): Temperature to sample from the model - value in range 0.0-1.0, the higher - the more random / "creative" the generations are. Cannot be used when extended_thinking is enabled..
    • max_image_size (integer): Maximum size of the image - if input has larger side, it will be downscaled, keeping aspect ratio.

  • output

Example JSON definition of step Anthropic Claude in version v2 
{
    "name": "<your_step_name_here>",
    "type": "roboflow_core/anthropic_claude@v2",
    "images": "$inputs.image",
    "task_type": "<block_does_not_provide_example>",
    "prompt": "my prompt",
    "output_structure": {
        "my_key": "description"
    },
    "classes": [
        "class-a",
        "class-b"
    ],
    "api_key": "xxx-xxx",
    "model_version": "claude-sonnet-4-5",
    "extended_thinking": "<block_does_not_provide_example>",
    "thinking_budget_tokens": "<block_does_not_provide_example>",
    "max_tokens": "<block_does_not_provide_example>",
    "temperature": "<block_does_not_provide_example>",
    "max_image_size": "<block_does_not_provide_example>",
    "max_concurrent_requests": "<block_does_not_provide_example>"
}

v1

Class: AnthropicClaudeBlockV1 (there are multiple versions of this block)

Source: inference.core.workflows.core_steps.models.foundation.anthropic_claude.v1.AnthropicClaudeBlockV1

Warning: This block has multiple versions. Please refer to the specific version for details. You can learn more about how versions work here: Versioning

Ask a question to Anthropic Claude model with vision capabilities.

You can specify arbitrary text prompts or predefined ones, the block supports the following types of prompt:

  • Open Prompt (unconstrained) - Use any prompt to generate a raw response

  • Text Recognition (OCR) (ocr) - Model recognizes text in the image

  • Visual Question Answering (visual-question-answering) - Model answers the question you submit in the prompt

  • Captioning (short) (caption) - Model provides a short description of the image

  • Captioning (detailed-caption) - Model provides a long description of the image

  • Single-Label Classification (classification) - Model classifies the image content as one of the provided classes

  • Multi-Label Classification (multi-label-classification) - Model classifies the image content as one or more of the provided classes

  • Unprompted Object Detection (object-detection) - Model detects and returns the bounding boxes for prominent objects in the image

  • Structured Output Generation (structured-answering) - Model returns a JSON response with the specified fields

You need to provide your Anthropic API key to use the Claude model.

Type identifier

Use the following identifier in step "type" field: roboflow_core/anthropic_claude@v1to add the block as as step in your workflow.

Properties

Name Type Description Refs
name str Enter a unique identifier for this step.. ❌
task_type str Task type to be performed by model. Value determines required parameters and output response.. ❌
prompt str Text prompt to the Claude model. ✅
output_structure Dict[str, str] Dictionary with structure of expected JSON response. ❌
classes List[str] List of classes to be used. ✅
api_key str Your Anthropic API key. ✅
model_version str Model to be used. ✅
max_tokens int Maximum number of tokens the model can generate in it's response.. ❌
temperature float Temperature to sample from the model - value in range 0.0-2.0, the higher - the more random / "creative" the generations are.. ✅
max_image_size int Maximum size of the image - if input has larger side, it will be downscaled, keeping aspect ratio. ✅
max_concurrent_requests int Number of concurrent requests that can be executed by block when batch of input images provided. If not given - block defaults to value configured globally in Workflows Execution Engine. Please restrict if you hit Anthropic API limits.. ❌

The Refs column marks possibility to parametrise the property with dynamic values available in workflow runtime. See Bindings for more info.

Available Connections

Compatible Blocks

Check what blocks you can connect to Anthropic Claude in version v1.

Input and Output Bindings

The available connections depend on its binding kinds. Check what binding kinds Anthropic Claude in version v1 has.

Bindings

  • input

    • images (image): The image to infer on..
    • prompt (string): Text prompt to the Claude model.
    • classes (list_of_values): List of classes to be used.
    • api_key (Union[string, secret]): Your Anthropic API key.
    • model_version (string): Model to be used.
    • temperature (float): Temperature to sample from the model - value in range 0.0-2.0, the higher - the more random / "creative" the generations are..
    • max_image_size (integer): Maximum size of the image - if input has larger side, it will be downscaled, keeping aspect ratio.

  • output

Example JSON definition of step Anthropic Claude in version v1 
{
    "name": "<your_step_name_here>",
    "type": "roboflow_core/anthropic_claude@v1",
    "images": "$inputs.image",
    "task_type": "<block_does_not_provide_example>",
    "prompt": "my prompt",
    "output_structure": {
        "my_key": "description"
    },
    "classes": [
        "class-a",
        "class-b"
    ],
    "api_key": "xxx-xxx",
    "model_version": "claude-sonnet-4",
    "max_tokens": "<block_does_not_provide_example>",
    "temperature": "<block_does_not_provide_example>",
    "max_image_size": "<block_does_not_provide_example>",
    "max_concurrent_requests": "<block_does_not_provide_example>"
}