reflex-search 1.4.0

A local-first, structure-aware code search engine for AI agents
Documentation
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
//! Semantic query generation using LLMs

pub mod config;
pub mod configure;
pub mod context;
pub mod executor;
pub mod prompt;
pub mod providers;
pub mod schema;
pub mod answer;

// Agentic mode modules (experimental)
pub mod schema_agentic;
pub mod agentic;
pub mod tools;
pub mod evaluator;
pub mod prompt_agentic;
pub mod reporter;

// Interactive chat mode modules
pub mod chat_session;
pub mod chat_tui;

// Re-export main types for convenience
pub use configure::run_configure_wizard;
pub use executor::{execute_queries, parse_command, ParsedCommand};
pub use schema::{QueryCommand, QueryResponse as SemanticQueryResponse, AgenticQueryResponse};
pub use agentic::{run_agentic_loop, AgenticConfig};
pub use reporter::{AgenticReporter, ConsoleReporter, QuietReporter};
pub use answer::generate_answer;
pub use chat_tui::run_chat_mode;
pub use config::{save_user_provider, is_any_api_key_configured};

use anyhow::{Context, Result};
use crate::cache::CacheManager;

/// Generate query commands from a natural language question
///
/// This is the main entry point for the semantic query feature.
pub async fn ask_question(
    question: &str,
    cache: &CacheManager,
    provider_override: Option<String>,
    additional_context: Option<String>,
    debug: bool,
) -> Result<schema::QueryResponse> {
    // Load config
    let mut config = config::load_config(cache.path())?;

    // Override provider if specified
    if let Some(provider) = provider_override {
        config.provider = provider;
    }

    // Get API key
    let api_key = config::get_api_key(&config.provider)?;

    let model = config::resolve_model(&config, None);

    // Create provider
    let provider = providers::create_provider(
        &config.provider,
        api_key,
        model,
        config::get_provider_options(&config.provider),
        config.timeout_seconds,
    )?;

    log::info!("Using provider: {} (model: {})", provider.name(), provider.default_model());

    // Build prompt with language injection
    let prompt = prompt::build_prompt(question, cache, additional_context.as_deref())?;

    log::debug!("Generated prompt ({} chars)", prompt.len());

    // Debug mode: output full prompt
    if debug {
        eprintln!("\n{}", "=".repeat(80));
        eprintln!("DEBUG: Full LLM Prompt (Standard Mode)");
        eprintln!("{}", "=".repeat(80));
        eprintln!("{}", prompt);
        eprintln!("{}\n", "=".repeat(80));
    }

    // Call LLM with retry logic
    let json_response = call_with_retry(&*provider, &prompt, 2, validate_query_response).await?;

    log::debug!("Received response ({} chars)", json_response.len());

    // Parse JSON response
    let response: schema::QueryResponse = serde_json::from_str(&json_response)
        .context("Failed to parse LLM response as JSON. The LLM may have returned invalid JSON.")?;

    // Validate response
    if response.queries.is_empty() {
        let msg = response.message.as_deref().unwrap_or(
            "This question is outside rfx scope. \
             Try asking about specific code patterns, functions, files, or symbols in your codebase."
        );
        anyhow::bail!("{}", msg);
    }

    log::info!("Generated {} quer{}", response.queries.len(), if response.queries.len() == 1 { "y" } else { "ies" });

    Ok(response)
}

/// Extract JSON from an LLM response that may contain extra formatting
///
/// Some LLMs wrap JSON in markdown code fences or embed it in explanatory text.
/// This function extracts the JSON object robustly.
///
/// Handles:
/// - ```json\n{...}\n``` (case-insensitive language tag)
/// - ```\n{...}\n```
/// - JSON embedded in surrounding text (finds first `{` to last matching `}`)
/// - {raw JSON} (no-op, returns as-is)
pub(crate) fn extract_json(text: &str) -> &str {
    let trimmed = text.trim();

    // Check for markdown code fence pattern (case-insensitive language tag)
    if trimmed.starts_with("```") && trimmed.ends_with("```") {
        // Find end of opening fence line
        let after_backticks = &trimmed[3..];
        let content_start = after_backticks.find('\n')
            .map(|i| 3 + i + 1)
            .unwrap_or(3);

        // Remove closing fence
        let content = &trimmed[content_start..trimmed.len() - 3];
        return content.trim();
    }

    // If it doesn't start with `{`, try to find JSON embedded in text
    if !trimmed.starts_with('{') {
        if let Some(start) = trimmed.find('{') {
            // Find the matching closing brace by counting depth
            let bytes = trimmed.as_bytes();
            let mut depth = 0i32;
            let mut last_close = start;
            let mut in_string = false;
            let mut escape_next = false;

            for (i, &b) in bytes[start..].iter().enumerate() {
                if escape_next {
                    escape_next = false;
                    continue;
                }
                match b {
                    b'\\' if in_string => escape_next = true,
                    b'"' => in_string = !in_string,
                    b'{' if !in_string => depth += 1,
                    b'}' if !in_string => {
                        depth -= 1;
                        if depth == 0 {
                            last_close = start + i;
                            break;
                        }
                    }
                    _ => {}
                }
            }

            if depth == 0 && last_close > start {
                return trimmed[start..=last_close].trim();
            }
        }
    }

    trimmed
}

/// Recursively convert string-encoded booleans in a JSON Value tree.
/// Handles LLMs that return `"true"` instead of `true`.
fn coerce_string_values(value: &mut serde_json::Value) {
    match value {
        serde_json::Value::String(s) => {
            match s.as_str() {
                "true" => *value = serde_json::Value::Bool(true),
                "false" => *value = serde_json::Value::Bool(false),
                _ => {}
            }
        }
        serde_json::Value::Object(map) => {
            for v in map.values_mut() {
                coerce_string_values(v);
            }
        }
        serde_json::Value::Array(arr) => {
            for v in arr.iter_mut() {
                coerce_string_values(v);
            }
        }
        _ => {}
    }
}

/// Call LLM provider with retry logic
///
/// Retries up to `max_retries` times on:
/// - Network errors
/// - Invalid JSON responses
///
/// Uses exponential backoff between retries.
///
/// The `validator` function checks whether the cleaned response is valid
/// for the caller's expected schema. This allows each call site to validate
/// against the correct type (e.g., `AgenticResponse` vs `QueryResponse`).
///
/// NOTE: Exported for use by agentic module
pub(crate) async fn call_with_retry(
    provider: &dyn providers::LlmProvider,
    prompt: &str,
    max_retries: usize,
    validator: impl Fn(&str) -> Result<(), String>,
) -> Result<String> {
    let mut last_error = None;

    for attempt in 0..=max_retries {
        if attempt > 0 {
            log::warn!("Retrying LLM call (attempt {}/{})", attempt + 1, max_retries + 1);
        }

        match provider.complete(prompt, true).await {  // json_mode: true for query generation
            Ok(response) => {
                // Extract JSON from response (handles markdown fences, embedded text, etc.)
                let cleaned_response = extract_json(&response);

                // Coerce string-encoded booleans ("true" → true, "false" → false)
                // Some LLMs (e.g., DeepSeek via OpenRouter) return "true" instead of true
                let cleaned_response = match serde_json::from_str::<serde_json::Value>(cleaned_response) {
                    Ok(mut value) => {
                        coerce_string_values(&mut value);
                        value.to_string()
                    }
                    Err(_) => cleaned_response.to_string(), // Not valid JSON yet — let validator report the error
                };

                // Validate using caller-specified schema check
                match validator(&cleaned_response) {
                    Ok(()) => {
                        // Valid response - return the cleaned version
                        return Ok(cleaned_response);
                    }
                    Err(e) => {
                        if attempt < max_retries {
                            log::warn!(
                                "Invalid JSON response from LLM, retrying ({}/{}): {}",
                                attempt + 1,
                                max_retries,
                                e
                            );
                            last_error = Some(anyhow::anyhow!(
                                "Invalid JSON format: {}. Response: {}",
                                e,
                                cleaned_response
                            ));

                            // Exponential backoff: 500ms, 1s, 1.5s...
                            let delay_ms = 500 * (attempt as u64 + 1);
                            tokio::time::sleep(tokio::time::Duration::from_millis(delay_ms)).await;
                            continue;
                        } else {
                            // Final attempt failed
                            last_error = Some(anyhow::anyhow!(
                                "Invalid JSON format after {} attempts: {}. Response: {}",
                                max_retries + 1,
                                e,
                                cleaned_response
                            ));
                        }
                    }
                }
            }
            Err(e) => {
                if attempt < max_retries {
                    log::warn!(
                        "LLM API call failed, retrying ({}/{}): {}",
                        attempt + 1,
                        max_retries,
                        e
                    );

                    // Exponential backoff
                    let delay_ms = 500 * (attempt as u64 + 1);
                    tokio::time::sleep(tokio::time::Duration::from_millis(delay_ms)).await;
                }
                last_error = Some(e);
            }
        }
    }

    Err(last_error.unwrap())
}

/// Validator: response must parse as `QueryResponse` (requires `queries` field)
pub(crate) fn validate_query_response(json: &str) -> Result<(), String> {
    serde_json::from_str::<schema::QueryResponse>(json)
        .map(|_| ())
        .map_err(|e| e.to_string())
}

/// Validator: response must parse as `AgenticResponse` (requires `phase` + `reasoning`)
pub(crate) fn validate_agentic_response(json: &str) -> Result<(), String> {
    serde_json::from_str::<schema_agentic::AgenticResponse>(json)
        .map(|_| ())
        .map_err(|e| e.to_string())
}

/// Validator: response must parse as either `AgenticResponse` or `QueryResponse`
///
/// Used for Phase 3 (generation) which has a fallback path accepting either format.
pub(crate) fn validate_agentic_or_query_response(json: &str) -> Result<(), String> {
    if serde_json::from_str::<schema_agentic::AgenticResponse>(json).is_ok() {
        return Ok(());
    }
    serde_json::from_str::<schema::QueryResponse>(json)
        .map(|_| ())
        .map_err(|e| format!("Neither AgenticResponse nor QueryResponse: {}", e))
}

#[cfg(test)]
mod tests {
    use super::*;

    #[test]
    fn test_extract_json_with_json_label() {
        let input = r#"```json
{
  "queries": [
    {
      "command": "query \"User\" --symbols --kind class --lang php",
      "order": 1,
      "merge": true
    }
  ]
}
```"#;
        let expected = r#"{
  "queries": [
    {
      "command": "query \"User\" --symbols --kind class --lang php",
      "order": 1,
      "merge": true
    }
  ]
}"#;
        assert_eq!(extract_json(input), expected);
    }

    #[test]
    fn test_extract_json_without_json_label() {
        let input = r#"```
{"queries": []}
```"#;
        let expected = r#"{"queries": []}"#;
        assert_eq!(extract_json(input), expected);
    }

    #[test]
    fn test_extract_json_no_fences() {
        let input = r#"{"queries": []}"#;
        assert_eq!(extract_json(input), input);
    }

    #[test]
    fn test_extract_json_with_whitespace() {
        let input = r#"  ```json
{"queries": []}
```  "#;
        let expected = r#"{"queries": []}"#;
        assert_eq!(extract_json(input), expected);
    }

    #[test]
    fn test_extract_json_case_insensitive_tag() {
        let input = r#"```JSON
{"queries": []}
```"#;
        let expected = r#"{"queries": []}"#;
        assert_eq!(extract_json(input), expected);
    }

    #[test]
    fn test_extract_json_embedded_in_text() {
        let input = r#"Here is the response:
{"phase": "assessment", "reasoning": "need context", "needs_context": true, "tool_calls": []}
Some trailing text here."#;
        let expected = r#"{"phase": "assessment", "reasoning": "need context", "needs_context": true, "tool_calls": []}"#;
        assert_eq!(extract_json(input), expected);
    }

    #[test]
    fn test_extract_json_with_nested_braces_in_strings() {
        let input = r#"Result: {"reasoning": "found {braces} in code", "phase": "final"} done"#;
        let expected = r#"{"reasoning": "found {braces} in code", "phase": "final"}"#;
        assert_eq!(extract_json(input), expected);
    }

    #[test]
    fn test_validate_query_response() {
        assert!(validate_query_response(r#"{"queries": []}"#).is_ok());
        assert!(validate_query_response(r#"{"phase": "assessment"}"#).is_err());
    }

    #[test]
    fn test_validate_agentic_response() {
        let valid = r#"{"phase": "assessment", "reasoning": "test"}"#;
        assert!(validate_agentic_response(valid).is_ok());

        // Missing required `phase` field
        assert!(validate_agentic_response(r#"{"queries": []}"#).is_err());
    }

    #[test]
    fn test_validate_agentic_or_query_response() {
        // Both formats should pass
        assert!(validate_agentic_or_query_response(r#"{"queries": []}"#).is_ok());
        assert!(validate_agentic_or_query_response(
            r#"{"phase": "final", "reasoning": "done"}"#
        ).is_ok());

        // Invalid JSON should fail
        assert!(validate_agentic_or_query_response(r#"{"bad": true}"#).is_err());
    }

    #[test]
    fn test_module_structure() {
        // Just verify the module compiles
        assert!(true);
    }

    #[test]
    fn test_coerce_string_values_booleans() {
        let mut value = serde_json::json!({
            "needs_context": "true",
            "structure": "false",
            "reasoning": "some text"
        });
        coerce_string_values(&mut value);
        assert_eq!(value["needs_context"], serde_json::json!(true));
        assert_eq!(value["structure"], serde_json::json!(false));
        assert_eq!(value["reasoning"], serde_json::json!("some text"));
    }

    #[test]
    fn test_coerce_string_values_nested() {
        let mut value = serde_json::json!({
            "tool_calls": [
                {
                    "expand": "true",
                    "symbols": "false",
                    "query": "search term"
                }
            ],
            "outer": {
                "inner_bool": "true"
            }
        });
        coerce_string_values(&mut value);
        assert_eq!(value["tool_calls"][0]["expand"], serde_json::json!(true));
        assert_eq!(value["tool_calls"][0]["symbols"], serde_json::json!(false));
        assert_eq!(value["tool_calls"][0]["query"], serde_json::json!("search term"));
        assert_eq!(value["outer"]["inner_bool"], serde_json::json!(true));
    }

    #[test]
    fn test_coerce_string_values_preserves_strings() {
        let mut value = serde_json::json!({
            "reasoning": "this is true and false",
            "description": "truly amazing",
            "phase": "assessment",
            "command": "query \"true\" --symbols"
        });
        let original = value.clone();
        coerce_string_values(&mut value);
        assert_eq!(value, original);
    }

    #[test]
    fn test_extract_json_and_coerce_integration() {
        // Simulates a DeepSeek response with string-encoded booleans
        let llm_output = r#"```json
{
  "phase": "assessment",
  "reasoning": "need to find relevant files",
  "needs_context": "true",
  "tool_calls": [
    {
      "tool": "search_code",
      "query": "trigram",
      "symbols": "false",
      "expand": "true"
    }
  ]
}
```"#;

        let extracted = extract_json(llm_output);
        let mut value: serde_json::Value = serde_json::from_str(extracted).unwrap();
        coerce_string_values(&mut value);

        assert_eq!(value["needs_context"], serde_json::json!(true));
        assert_eq!(value["tool_calls"][0]["symbols"], serde_json::json!(false));
        assert_eq!(value["tool_calls"][0]["expand"], serde_json::json!(true));
        // String fields preserved
        assert_eq!(value["phase"], serde_json::json!("assessment"));
        assert_eq!(value["reasoning"], serde_json::json!("need to find relevant files"));
        assert_eq!(value["tool_calls"][0]["query"], serde_json::json!("trigram"));
    }
}