dspy.JSONAdapter¶
dspy.JSONAdapter(callbacks: list[BaseCallback] | None = None, use_native_function_calling: bool = True)
¶
Bases: ChatAdapter
Source code in dspy/adapters/json_adapter.py
Functions¶
__call__(lm: LM, lm_kwargs: dict[str, Any], signature: type[Signature], demos: list[dict[str, Any]], inputs: dict[str, Any]) -> list[dict[str, Any]]
¶
Source code in dspy/adapters/json_adapter.py
acall(lm: LM, lm_kwargs: dict[str, Any], signature: type[Signature], demos: list[dict[str, Any]], inputs: dict[str, Any]) -> list[dict[str, Any]]
async
¶
Source code in dspy/adapters/json_adapter.py
format(signature: type[Signature], demos: list[dict[str, Any]], inputs: dict[str, Any]) -> list[dict[str, Any]]
¶
Format the input messages for the LM call.
This method converts the DSPy structured input along with few-shot examples and conversation history into multiturn messages as expected by the LM. For custom adapters, this method can be overridden to customize the formatting of the input messages.
In general we recommend the messages to have the following structure:
[
{"role": "system", "content": system_message},
# Begin few-shot examples
{"role": "user", "content": few_shot_example_1_input},
{"role": "assistant", "content": few_shot_example_1_output},
{"role": "user", "content": few_shot_example_2_input},
{"role": "assistant", "content": few_shot_example_2_output},
...
# End few-shot examples
# Begin conversation history
{"role": "user", "content": conversation_history_1_input},
{"role": "assistant", "content": conversation_history_1_output},
{"role": "user", "content": conversation_history_2_input},
{"role": "assistant", "content": conversation_history_2_output},
...
# End conversation history
{"role": "user", "content": current_input},
]
And system message should contain the field description, field structure, and task description.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
signature
|
type[Signature]
|
The DSPy signature for which to format the input messages. |
required |
demos
|
list[dict[str, Any]]
|
A list of few-shot examples. |
required |
inputs
|
dict[str, Any]
|
The input arguments to the DSPy module. |
required |
Returns:
Type | Description |
---|---|
list[dict[str, Any]]
|
A list of multiturn messages as expected by the LM. |
Source code in dspy/adapters/base.py
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|
format_assistant_message_content(signature: type[Signature], outputs: dict[str, Any], missing_field_message=None) -> str
¶
Source code in dspy/adapters/json_adapter.py
format_conversation_history(signature: type[Signature], history_field_name: str, inputs: dict[str, Any]) -> list[dict[str, Any]]
¶
Format the conversation history.
This method formats the conversation history and the current input as multiturn messages.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
signature
|
type[Signature]
|
The DSPy signature for which to format the conversation history. |
required |
history_field_name
|
str
|
The name of the history field in the signature. |
required |
inputs
|
dict[str, Any]
|
The input arguments to the DSPy module. |
required |
Returns:
Type | Description |
---|---|
list[dict[str, Any]]
|
A list of multiturn messages. |
Source code in dspy/adapters/base.py
format_demos(signature: type[Signature], demos: list[dict[str, Any]]) -> list[dict[str, Any]]
¶
Format the few-shot examples.
This method formats the few-shot examples as multiturn messages.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
signature
|
type[Signature]
|
The DSPy signature for which to format the few-shot examples. |
required |
demos
|
list[dict[str, Any]]
|
A list of few-shot examples, each element is a dictionary with keys of the input and output fields of the signature. |
required |
Returns:
Type | Description |
---|---|
list[dict[str, Any]]
|
A list of multiturn messages. |
Source code in dspy/adapters/base.py
format_field_description(signature: type[Signature]) -> str
¶
Source code in dspy/adapters/chat_adapter.py
format_field_structure(signature: type[Signature]) -> str
¶
Source code in dspy/adapters/json_adapter.py
format_field_with_value(fields_with_values: dict[FieldInfoWithName, Any], role: str = 'user') -> str
¶
Formats the values of the specified fields according to the field's DSPy type (input or output), annotation (e.g. str, int, etc.), and the type of the value itself. Joins the formatted values into a single string, which is a multiline string if there are multiple fields.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
fields_with_values
|
dict[FieldInfoWithName, Any]
|
A dictionary mapping information about a field to its corresponding value. |
required |
Returns: The joined formatted values of the fields, represented as a string.
Source code in dspy/adapters/json_adapter.py
format_finetune_data(signature: type[Signature], demos: list[dict[str, Any]], inputs: dict[str, Any], outputs: dict[str, Any]) -> dict[str, list[Any]]
¶
Source code in dspy/adapters/json_adapter.py
format_task_description(signature: type[Signature]) -> str
¶
Source code in dspy/adapters/chat_adapter.py
format_user_message_content(signature: type[Signature], inputs: dict[str, Any], prefix: str = '', suffix: str = '', main_request: bool = False) -> str
¶
Source code in dspy/adapters/chat_adapter.py
parse(signature: type[Signature], completion: str) -> dict[str, Any]
¶
Source code in dspy/adapters/json_adapter.py
user_message_output_requirements(signature: type[Signature]) -> str
¶
Source code in dspy/adapters/json_adapter.py
:::