select_examples() — langchain Function Reference

Architecture documentation for the select_examples() function in length_based.py from the langchain codebase.

Function python PromptManagement ExampleSelection called by 1

Entity Profile

PromptManagement→ ExampleSelection→ select_examples() — langchain Function Reference

Dependency Diagram

graph TD
  064f78c2_7411_e02b_7566_cc055cccbf8f["select_examples()"]
  0eacfd0f_9944_7bad_618f_81f1c3dafb2a["LengthBasedExampleSelector"]
  064f78c2_7411_e02b_7566_cc055cccbf8f -->|defined in| 0eacfd0f_9944_7bad_618f_81f1c3dafb2a
  becfa088_b785_9211_0e88_b427170ccd8a["aselect_examples()"]
  becfa088_b785_9211_0e88_b427170ccd8a -->|calls| 064f78c2_7411_e02b_7566_cc055cccbf8f
  style 064f78c2_7411_e02b_7566_cc055cccbf8f fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/core/langchain_core/example_selectors/length_based.py lines 95–116

    def select_examples(self, input_variables: dict[str, str]) -> list[dict]:
        """Select which examples to use based on the input lengths.

        Args:
            input_variables: A dictionary with keys as input variables
               and values as their values.

        Returns:
            A list of examples to include in the prompt.
        """
        inputs = " ".join(input_variables.values())
        remaining_length = self.max_length - self.get_text_length(inputs)
        i = 0
        examples = []
        while remaining_length > 0 and i < len(self.examples):
            new_length = remaining_length - self.example_text_lengths[i]
            if new_length < 0:
                break
            examples.append(self.examples[i])
            remaining_length = new_length
            i += 1
        return examples