pub async fn generate_answer(
question: &str,
results: &[FileGroupedResult],
total_count: usize,
gathered_context: Option<&str>,
codebase_context: Option<&str>,
provider: &dyn LlmProvider,
) -> Result<String>Expand description
Generate a conversational answer based on search results
Takes the user’s original question and search results, then calls the LLM to synthesize a natural language answer that references specific files and line numbers from the results.
§Arguments
question- The original user questionresults- Search results grouped by filetotal_count- Total number of matches foundgathered_context- Optional context gathered from tools (documentation, codebase structure)codebase_context- Optional codebase metadata (always available, language distribution, directories)provider- LLM provider to use for answer generation
§Returns
A conversational answer string that summarizes the findings