Function extract_raw_candidates

core/src/llm/structured.rs:1018–1033

Ordered raw strings to mine for the structured object, most authoritative first: tool-call arguments, then text content, then the reasoning channel. The reasoning fallback is the crux of the cross-model fix: reasoning models (GLM/zhipu, DeepSeek-R1, kimi…) frequently emit the final object inside `reasoning` with `content` empty and no tool call. Earlier extraction only looked at the tool call / t

(message: &super::Message, mode: StructuredMode)

/// at the tool call / text, so those models yielded an empty string and the whole
/// generate_object failed even though a perfectly good object was produced.
fn extract_raw_candidates(message: &super::Message, mode: StructuredMode) -> Vec<String> {
    let mut out: Vec<String> = Vec::new();
    if mode == StructuredMode::Tool {
        if let Some(call) = message.tool_calls().first() {
            push_candidate(
                &mut out,
                serde_json::to_string(&call.args).unwrap_or_default(),
            );
        }
    }
    push_candidate(&mut out, message.text());
    if let Some(reasoning) = message.reasoning_content.as_deref() {
        push_candidate(&mut out, reasoning.to_string());
    }
    out
}

/// Every JSON object/array value mineable from possibly-dirty text, in document order
/// (direct parse, code fences, then all balanced `{...}` / `[...]`). Deduped.