Method parse_response

core/src/llm/openai.rs:122–184

Parse `OpenAI` response to `GraphBit` response

(&self, response: OpenAiResponse)

    /// Parse `OpenAI` response to `GraphBit` response
    fn parse_response(&self, response: OpenAiResponse) -> GraphBitResult<LlmResponse> {
        let choice = response
            .choices
            .into_iter()
            .next()
            .ok_or_else(|| GraphBitError::llm_provider("openai", "No choices in response"))?;

        let mut content = choice.message.content;
        if content.trim().is_empty()
            && !choice
                .message
                .tool_calls
                .as_ref()
                .unwrap_or(&vec![])
                .is_empty()
        {
            content = "I'll help you with that using the available tools.".to_string();
        }
        let tool_calls = choice
            .message
            .tool_calls
            .unwrap_or_default()
            .into_iter()
            .map(|tc| {
                // Production-grade argument parsing with error handling
                let parameters = if tc.function.arguments.trim().is_empty() {
                    serde_json::Value::Object(serde_json::Map::new())
                } else {
                    match serde_json::from_str(&tc.function.arguments) {
                        Ok(params) => params,
                        Err(e) => {
                            tracing::warn!(
                                "Failed to parse tool call arguments for {}: {e}. Arguments: '{}'",
                                tc.function.name,
                                tc.function.arguments
                            );
                            // Try to create a simple object with the raw arguments
                            serde_json::json!({ "raw_arguments": tc.function.arguments })
                        }
                    }
                };

                LlmToolCall {
                    id: tc.id,
                    name: tc.function.name,
                    parameters,
                }
            })
            .collect();

        let finish_reason = parse_finish_reason(choice.finish_reason.as_deref());

        let usage = LlmUsage::new(
            response.usage.prompt_tokens,
            response.usage.completion_tokens,
        );

        Ok(LlmResponse::new(content, &self.model)