codetether-rlm 0.1.0

Recursive Language Model processing for CodeTether
Documentation 
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//! Fallback result builders.

use super::truncate::smart_truncate;
use crate::chunker::RlmChunker;
use crate::result::RlmResult;
use crate::stats::RlmStats;

/// Build a fallback `RlmResult` (truncation only, no LLM call).
pub fn fallback_result(
    output: &str,
    tool_id: &str,
    tool_args: &serde_json::Value,
    input_tokens: usize,
) -> RlmResult {
    let (truncated, _, _) = smart_truncate(output, tool_id, tool_args, 8000);
    let out_tok = RlmChunker::estimate_tokens(&truncated);
    RlmResult {
        processed: format!("[RLM processing failed, showing truncated output]\n\n{truncated}"),
        stats: RlmStats {
            input_tokens,
            output_tokens: out_tok,
            iterations: 0,
            subcalls: 0,
            elapsed_ms: 0,
            compression_ratio: if out_tok == 0 {
                0.0
            } else {
                out_tok as f64 / input_tokens as f64
            },
        },
        success: false,
        error: Some("Model call failed".into()),
        trace: None,
        trace_id: None,
    }
}

/// Enhanced fallback — structured excerpt depending on tool type.
pub fn enhanced_fallback(
    output: &str,
    tool_id: &str,
    tool_args: &serde_json::Value,
    input_tokens: usize,
) -> String {
    if tool_id == "session_context" {
        super::fallback_context::session_context_fallback(output, input_tokens)
    } else {
        let (truncated, _, _) = smart_truncate(output, tool_id, tool_args, 8000);
        format!(
            "## Fallback Summary\n*RLM processing failed - showing structured excerpt*\n\n{truncated}"
        )
    }
}