Anthropic lm invoker

Defines a module to interact with Anthropic language models.

AnthropicLMInvoker(model_name, api_key=None, model_kwargs=None, default_hyperparameters=None, tools=None, response_schema=None, output_analytics=False, retry_config=None, thinking=False, input_transformer=InputTransformerType.IDENTITY, output_transformer=OutputTransformerType.IDENTITY)

Bases: BaseLMInvoker

A language model invoker to interact with Anthropic language models.

Examples:

lm_invoker = AnthropicLMInvoker(model_name="claude-sonnet-4-5")
result = await lm_invoker.invoke("Hi there!")

Supported features

1. Basic invocation
2. Streaming output
3. Message roles
4. Multimodal input a. Text b. Document c. Image
5. Structured output
6. Tool calling
7. Native tools a. Code interpreter b. Skill c. Web search
8. Thinking
9. Output analytics
10. Retry and timeout
11. Extra capabilities a. Input transformer b. Output transformer c. Batch invocation

For full documentation and examples, please refer to the LM Invoker tutorial: https://gdplabs.gitbook.io/sdk/gen-ai-sdk/tutorials/inference/lm-invoker

Attributes:

Name	Type	Description
model_id	str	The model ID of the language model.
model_provider	str	The provider of the language model.
model_name	str	The name of the language model.
client	AsyncAnthropic	The Anthropic client instance.
default_config	dict[str, Any]	Default config for invoking the model.
tools	list[Tool]	Tools provided to the model to enable tool calling.
response_schema	ResponseSchema | None	The schema of the response. If provided, the model will output a structured response as defined by the schema. Supports both Pydantic BaseModel and JSON schema dictionary.
output_analytics	bool	Whether to output the invocation analytics.
retry_config	RetryConfig	The retry configuration for the language model.
thinking	ThinkingConfig	The thinking configuration for the language model.
input_transformer	InputTransformerType	The type of input transformer to use.
output_transformer	OutputTransformerType	The type of output transformer to use.

Initializes the AnthropicLmInvoker instance.

Parameters:

Name	Type	Description	Default
model_name	str	The name of the Anthropic language model.	required
api_key	str | None	The Anthropic API key. Defaults to None, in which case the ANTHROPIC_API_KEY environment variable will be used.	None
model_kwargs	dict[str, Any] | None	Additional keyword arguments for the Anthropic client.	None
default_hyperparameters	dict[str, Any] | None	Default hyperparameters for invoking the model. Defaults to None.	None
tools	list[LMTool] | None	Tools provided to the model to enable tool calling. Defaults to None, in which case an empty list is used.	None
response_schema	ResponseSchema | None	The schema of the response. If provided, the model will output a structured response as defined by the schema. Supports both Pydantic BaseModel and JSON schema dictionary. Defaults to None.	None
output_analytics	bool	Whether to output the invocation analytics. Defaults to False.	False
retry_config	RetryConfig | None	The retry configuration for the language model. Defaults to None, in which case a default config with no retry and 30.0 seconds timeout will be used.	None
thinking	bool | ThinkingConfig	A boolean or ThinkingConfig object to configure thinking. Defaults to False.	False
input_transformer	InputTransformerType	The type of input transformer to use. Defaults to InputTransformerType.IDENTITY, which returns the input without transformation.	IDENTITY
output_transformer	OutputTransformerType	The type of output transformer to use. Defaults to OutputTransformerType.IDENTITY, which returns the output without transformation.	IDENTITY

Raises:

Type	Description
ValueError	if response_schema is provided, but tools or thinking are also provided.

batch cached property

The batch operations for the language model.

Returns:

Name	Type	Description
AnthropicBatchOperations	AnthropicBatchOperations	The batch operations for the language model.

skill cached property

The skill operations for the language model.

Returns:

Name	Type	Description
AnthropicSkillOperations	AnthropicSkillOperations	The skill operations for the language model.