optimclaw/src/llm/recording.rs

//! Live trace recording mode.
//!
//! Wraps any [`LlmProvider`] and captures every LLM interaction into
//! the trace fixture format used by `TraceLlm` for deterministic E2E
//! testing. Recorded traces can be replayed later via `TraceLlm`.
//!
//! The trace includes:
//! - **Memory snapshot**: workspace documents captured before the first LLM call
//! - **HTTP exchanges**: all outgoing HTTP request/response pairs from tools
//! - **Steps**: user inputs, LLM responses (text/tool_calls), and expected tool
//!   results for verifying tool output during replay
//!
//! Enable by setting `IRONCLAW_RECORD_TRACE=1` at runtime.

use std::collections::VecDeque;
use std::path::PathBuf;
use std::sync::Arc;

use async_trait::async_trait;
use rust_decimal::Decimal;
use serde::{Deserialize, Serialize};
use tokio::sync::Mutex;

use crate::error::LlmError;
use crate::llm::provider::{
    ChatMessage, CompletionRequest, CompletionResponse, LlmProvider, ModelMetadata, Role,
    ToolCompletionRequest, ToolCompletionResponse,
};

// ── Trace format types ─────────────────────────────────────────────

/// Top-level trace file — extended format with memory snapshot and HTTP exchanges.
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct TraceFile {
    pub model_name: String,
    /// Workspace memory documents captured before the recording session.
    /// Replay should restore these before running the trace.
    #[serde(default, skip_serializing_if = "Vec::is_empty")]
    pub memory_snapshot: Vec<MemorySnapshotEntry>,
    /// HTTP exchanges recorded during the session, in order.
    /// Replay should return these instead of making real HTTP requests.
    #[serde(default, skip_serializing_if = "Vec::is_empty")]
    pub http_exchanges: Vec<HttpExchange>,
    pub steps: Vec<TraceStep>,
}

/// A memory document captured at recording start.
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MemorySnapshotEntry {
    pub path: String,
    pub content: String,
}

/// A recorded HTTP request/response pair.
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct HttpExchange {
    pub request: HttpExchangeRequest,
    pub response: HttpExchangeResponse,
}

/// The request side of an HTTP exchange.
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct HttpExchangeRequest {
    pub method: String,
    pub url: String,
    #[serde(default, skip_serializing_if = "Vec::is_empty")]
    pub headers: Vec<(String, String)>,
    #[serde(default, skip_serializing_if = "Option::is_none")]
    pub body: Option<String>,
}

/// The response side of an HTTP exchange.
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct HttpExchangeResponse {
    pub status: u16,
    #[serde(default, skip_serializing_if = "Vec::is_empty")]
    pub headers: Vec<(String, String)>,
    pub body: String,
}

/// A single step in the trace.
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct TraceStep {
    #[serde(skip_serializing_if = "Option::is_none")]
    pub request_hint: Option<RequestHint>,
    pub response: TraceResponse,
    /// Tool results that appeared in the message context since the previous step.
    /// During replay, the test harness can compare actual tool results against
    /// these to verify tool output hasn't changed (regression detection).
    #[serde(default, skip_serializing_if = "Vec::is_empty")]
    pub expected_tool_results: Vec<ExpectedToolResult>,
}

/// Soft validation hints for matching a step to a request.
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct RequestHint {
    #[serde(skip_serializing_if = "Option::is_none")]
    pub last_user_message_contains: Option<String>,
    #[serde(skip_serializing_if = "Option::is_none")]
    pub min_message_count: Option<usize>,
}

/// Tagged response enum — text, tool_calls, or user_input.
///
/// `user_input` steps are metadata markers — they record what the user said
/// but do **not** correspond to an LLM call. During replay, `TraceLlm` must
/// skip `user_input` steps and only consume `text`/`tool_calls` steps.
#[derive(Debug, Clone, Serialize, Deserialize)]
#[serde(tag = "type", rename_all = "snake_case")]
pub enum TraceResponse {
    Text {
        content: String,
        input_tokens: u32,
        output_tokens: u32,
    },
    ToolCalls {
        tool_calls: Vec<TraceToolCall>,
        input_tokens: u32,
        output_tokens: u32,
    },
    /// Marker for a user message that triggered subsequent LLM calls.
    /// Not an LLM response — replay providers must skip these.
    UserInput { content: String },
}

/// A tool call in a trace step.
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct TraceToolCall {
    pub id: String,
    pub name: String,
    pub arguments: serde_json::Value,
}

/// Recorded tool result for regression checking during replay.
///
/// During replay, after tools execute and before returning the canned LLM
/// response, the test harness should compare actual `Role::Tool` messages
/// against these entries. A content mismatch indicates a tool behavior change.
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ExpectedToolResult {
    pub tool_call_id: String,
    pub name: String,
    /// The full tool result content as it appeared in the message context.
    pub content: String,
}

// ── HTTP interceptor ───────────────────────────────────────────────

/// Trait for intercepting HTTP requests from tools.
///
/// During recording, the interceptor captures exchanges after the real
/// request completes. During replay, it short-circuits with a recorded response.
#[async_trait]
pub trait HttpInterceptor: Send + Sync + std::fmt::Debug {
    /// Called before making an HTTP request.
    ///
    /// Return `Some(response)` to short-circuit (replay mode).
    /// Return `None` to let the real request proceed (recording mode).
    async fn before_request(&self, request: &HttpExchangeRequest) -> Option<HttpExchangeResponse>;

    /// Called after a real HTTP request completes (recording mode only).
    async fn after_response(&self, request: &HttpExchangeRequest, response: &HttpExchangeResponse);
}

/// Records HTTP exchanges during a live session.
#[derive(Debug)]
pub struct RecordingHttpInterceptor {
    exchanges: Mutex<Vec<HttpExchange>>,
}

impl Default for RecordingHttpInterceptor {
    fn default() -> Self {
        Self::new()
    }
}

impl RecordingHttpInterceptor {
    pub fn new() -> Self {
        Self {
            exchanges: Mutex::new(Vec::new()),
        }
    }

    /// Return all recorded exchanges.
    pub async fn take_exchanges(&self) -> Vec<HttpExchange> {
        self.exchanges.lock().await.clone()
    }
}

#[async_trait]
impl HttpInterceptor for RecordingHttpInterceptor {
    async fn before_request(&self, _request: &HttpExchangeRequest) -> Option<HttpExchangeResponse> {
        // Recording mode: let the real request proceed
        None
    }

    async fn after_response(&self, request: &HttpExchangeRequest, response: &HttpExchangeResponse) {
        self.exchanges.lock().await.push(HttpExchange {
            request: request.clone(),
            response: response.clone(),
        });
    }
}

/// Replays recorded HTTP exchanges during test runs.
///
/// Returns responses in order. If more requests arrive than recorded
/// exchanges, returns a 599 error response.
#[derive(Debug)]
pub struct ReplayingHttpInterceptor {
    exchanges: Mutex<VecDeque<HttpExchange>>,
}

impl ReplayingHttpInterceptor {
    pub fn new(exchanges: Vec<HttpExchange>) -> Self {
        Self {
            exchanges: Mutex::new(VecDeque::from(exchanges)),
        }
    }
}

#[async_trait]
impl HttpInterceptor for ReplayingHttpInterceptor {
    async fn before_request(&self, request: &HttpExchangeRequest) -> Option<HttpExchangeResponse> {
        let mut queue = self.exchanges.lock().await;
        if let Some(exchange) = queue.pop_front() {
            // Soft-check: warn if the request doesn't match
            if exchange.request.url != request.url || exchange.request.method != request.method {
                tracing::warn!(
                    expected_url = %exchange.request.url,
                    actual_url = %request.url,
                    expected_method = %exchange.request.method,
                    actual_method = %request.method,
                    "HTTP replay: request mismatch (returning recorded response anyway)"
                );
            }
            Some(exchange.response)
        } else {
            tracing::error!(
                url = %request.url,
                method = %request.method,
                "HTTP replay: no more recorded exchanges, returning error"
            );
            Some(HttpExchangeResponse {
                status: 599,
                headers: Vec::new(),
                body: "trace replay: no more recorded HTTP exchanges".to_string(),
            })
        }
    }

    async fn after_response(
        &self,
        _request: &HttpExchangeRequest,
        _response: &HttpExchangeResponse,
    ) {
        // Replay mode: nothing to record
    }
}

// ── RecordingLlm ───────────────────────────────────────────────────

/// LLM provider decorator that records interactions into a trace file.
pub struct RecordingLlm {
    inner: Arc<dyn LlmProvider>,
    steps: Mutex<Vec<TraceStep>>,
    prev_message_count: Mutex<usize>,
    output_path: PathBuf,
    model_name: String,
    memory_snapshot: Mutex<Vec<MemorySnapshotEntry>>,
    http_interceptor: Arc<RecordingHttpInterceptor>,
}

impl RecordingLlm {
    /// Wrap a provider for recording.
    pub fn new(inner: Arc<dyn LlmProvider>, output_path: PathBuf, model_name: String) -> Self {
        Self {
            inner,
            steps: Mutex::new(Vec::new()),
            prev_message_count: Mutex::new(0),
            output_path,
            model_name,
            memory_snapshot: Mutex::new(Vec::new()),
            http_interceptor: Arc::new(RecordingHttpInterceptor::new()),
        }
    }

    /// Create from environment variables if recording is enabled.
    ///
    /// - `IRONCLAW_RECORD_TRACE` — any non-empty value enables recording
    /// - `IRONCLAW_TRACE_OUTPUT` — file path (default: `./trace_{timestamp}.json`)
    /// - `IRONCLAW_TRACE_MODEL_NAME` — model_name field (default: `recorded-{inner.model_name()}`)
    pub fn from_env(inner: Arc<dyn LlmProvider>) -> Option<Arc<Self>> {
        let enabled = std::env::var("IRONCLAW_RECORD_TRACE")
            .ok()
            .filter(|v| !v.is_empty());
        enabled?;

        let output_path = std::env::var("IRONCLAW_TRACE_OUTPUT")
            .ok()
            .filter(|v| !v.is_empty())
            .map(PathBuf::from)
            .unwrap_or_else(|| {
                let ts = chrono::Local::now().format("%Y%m%dT%H%M%S");
                PathBuf::from(format!("trace_{ts}.json"))
            });

        let model_name = std::env::var("IRONCLAW_TRACE_MODEL_NAME")
            .ok()
            .filter(|v| !v.is_empty())
            .unwrap_or_else(|| format!("recorded-{}", inner.model_name()));

        tracing::info!(
            output = %output_path.display(),
            model = %model_name,
            "LLM trace recording enabled"
        );

        Some(Arc::new(Self::new(inner, output_path, model_name)))
    }

    /// Get the HTTP interceptor for wiring into tools.
    ///
    /// Pass this to `JobContext` or `HttpTool` so outgoing HTTP requests
    /// are recorded into the trace.
    pub fn http_interceptor(&self) -> Arc<dyn HttpInterceptor> {
        Arc::clone(&self.http_interceptor) as Arc<dyn HttpInterceptor>
    }

    /// Snapshot all memory documents from a workspace.
    ///
    /// Call this once after creation, before the agent starts processing.
    pub async fn snapshot_memory(&self, workspace: &crate::workspace::Workspace) {
        match workspace.list_all().await {
            Ok(paths) => {
                let mut snapshot = self.memory_snapshot.lock().await;
                for path in paths {
                    match workspace.read(&path).await {
                        Ok(doc) => {
                            snapshot.push(MemorySnapshotEntry {
                                path: doc.path,
                                content: doc.content,
                            });
                        }
                        Err(e) => {
                            tracing::debug!(path = %path, error = %e, "Skipped memory doc in snapshot");
                        }
                    }
                }
                tracing::info!(
                    documents = snapshot.len(),
                    "Captured memory snapshot for trace recording"
                );
            }
            Err(e) => {
                tracing::warn!("Failed to snapshot memory for trace recording: {}", e);
            }
        }
    }

    /// Flush accumulated steps, memory snapshot, and HTTP exchanges to the output file.
    pub async fn flush(&self) -> Result<(), std::io::Error> {
        let steps = self.steps.lock().await;
        let memory_snapshot = self.memory_snapshot.lock().await;
        let http_exchanges = self.http_interceptor.take_exchanges().await;

        let trace = TraceFile {
            model_name: self.model_name.clone(),
            memory_snapshot: memory_snapshot.clone(),
            http_exchanges,
            steps: steps.clone(),
        };
        let json = serde_json::to_string_pretty(&trace).map_err(std::io::Error::other)?;
        tokio::fs::write(&self.output_path, json).await?;
        tracing::info!(
            steps = steps.len(),
            memory_docs = memory_snapshot.len(),
            path = %self.output_path.display(),
            "Flushed LLM trace recording"
        );
        Ok(())
    }

    /// Extract new user messages, tool results, and build request hint.
    ///
    /// Returns `(hint, tool_results)` where tool_results are new `Role::Tool`
    /// messages since the last call — these become `expected_tool_results` on
    /// the next step for replay verification.
    async fn capture_new_messages(
        &self,
        messages: &[ChatMessage],
    ) -> (Option<RequestHint>, Vec<ExpectedToolResult>) {
        let mut prev_count = self.prev_message_count.lock().await;
        let current_count = messages.len();
        // After context compaction, the message list may shrink below
        // prev_count.  Clamp to avoid an out-of-bounds slice.
        let start = (*prev_count).min(current_count);

        let new_messages = &messages[start..];

        // Emit UserInput steps for new user messages
        let new_user_messages: Vec<&ChatMessage> = new_messages
            .iter()
            .filter(|m| m.role == Role::User)
            .collect();

        if !new_user_messages.is_empty() {
            let mut steps = self.steps.lock().await;
            for msg in &new_user_messages {
                steps.push(TraceStep {
                    request_hint: None,
                    response: TraceResponse::UserInput {
                        content: msg.content.clone(),
                    },
                    expected_tool_results: Vec::new(),
                });
            }
        }

        // Capture new tool result messages for expected_tool_results
        let tool_results: Vec<ExpectedToolResult> = new_messages
            .iter()
            .filter(|m| m.role == Role::Tool)
            .map(|m| ExpectedToolResult {
                tool_call_id: m.tool_call_id.clone().unwrap_or_default(),
                name: m.name.clone().unwrap_or_default(),
                content: m.content.clone(),
            })
            .collect();

        *prev_count = current_count;

        // Build request hint from last user message
        let hint = messages
            .iter()
            .rev()
            .find(|m| m.role == Role::User)
            .map(|msg| {
                let hint_text = if msg.content.len() > 80 {
                    msg.content[..80].to_string()
                } else {
                    msg.content.clone()
                };
                RequestHint {
                    last_user_message_contains: Some(hint_text),
                    min_message_count: Some(current_count),
                }
            });

        (hint, tool_results)
    }
}

#[async_trait]
impl LlmProvider for RecordingLlm {
    fn model_name(&self) -> &str {
        self.inner.model_name()
    }

    fn cost_per_token(&self) -> (Decimal, Decimal) {
        self.inner.cost_per_token()
    }

    async fn complete(&self, request: CompletionRequest) -> Result<CompletionResponse, LlmError> {
        let (hint, tool_results) = self.capture_new_messages(&request.messages).await;
        let response = self.inner.complete(request).await?;

        self.steps.lock().await.push(TraceStep {
            request_hint: hint,
            response: TraceResponse::Text {
                content: response.content.clone(),
                input_tokens: response.input_tokens,
                output_tokens: response.output_tokens,
            },
            expected_tool_results: tool_results,
        });

        Ok(response)
    }

    async fn complete_with_tools(
        &self,
        request: ToolCompletionRequest,
    ) -> Result<ToolCompletionResponse, LlmError> {
        let (hint, tool_results) = self.capture_new_messages(&request.messages).await;
        let response = self.inner.complete_with_tools(request).await?;

        let step = if response.tool_calls.is_empty() {
            TraceStep {
                request_hint: hint,
                response: TraceResponse::Text {
                    content: response.content.clone().unwrap_or_default(),
                    input_tokens: response.input_tokens,
                    output_tokens: response.output_tokens,
                },
                expected_tool_results: tool_results,
            }
        } else {
            TraceStep {
                request_hint: hint,
                response: TraceResponse::ToolCalls {
                    tool_calls: response
                        .tool_calls
                        .iter()
                        .map(|tc| TraceToolCall {
                            id: tc.id.clone(),
                            name: tc.name.clone(),
                            arguments: tc.arguments.clone(),
                        })
                        .collect(),
                    input_tokens: response.input_tokens,
                    output_tokens: response.output_tokens,
                },
                expected_tool_results: tool_results,
            }
        };

        self.steps.lock().await.push(step);
        Ok(response)
    }

    async fn list_models(&self) -> Result<Vec<String>, LlmError> {
        self.inner.list_models().await
    }

    async fn model_metadata(&self) -> Result<ModelMetadata, LlmError> {
        self.inner.model_metadata().await
    }

    fn effective_model_name(&self, requested_model: Option<&str>) -> String {
        self.inner.effective_model_name(requested_model)
    }

    fn active_model_name(&self) -> String {
        self.inner.active_model_name()
    }

    fn set_model(&self, model: &str) -> Result<(), LlmError> {
        self.inner.set_model(model)
    }
}

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

    fn make_recorder(stub: Arc<StubLlm>) -> RecordingLlm {
        RecordingLlm::new(
            stub,
            PathBuf::from("/tmp/test_recording.json"),
            "test-recording".to_string(),
        )
    }

    #[tokio::test]
    async fn captures_user_input_before_first_response() {
        let stub = Arc::new(StubLlm::new("hello back"));
        let recorder = make_recorder(stub);

        let request = CompletionRequest::new(vec![
            ChatMessage::system("You are helpful."),
            ChatMessage::user("Hello!"),
        ]);
        recorder.complete(request).await.unwrap();

        let steps = recorder.steps.lock().await;
        assert_eq!(steps.len(), 2);

        // First step: user_input
        assert!(
            matches!(&steps[0].response, TraceResponse::UserInput { content } if content == "Hello!")
        );

        // Second step: text response
        assert!(
            matches!(&steps[1].response, TraceResponse::Text { content, .. } if content == "hello back")
        );
    }

    #[tokio::test]
    async fn captures_text_response_correctly() {
        let stub = Arc::new(StubLlm::new("test response"));
        let recorder = make_recorder(stub);

        let request = CompletionRequest::new(vec![ChatMessage::user("question")]);
        recorder.complete(request).await.unwrap();

        let steps = recorder.steps.lock().await;
        // user_input + text
        assert_eq!(steps.len(), 2);
        match &steps[1].response {
            TraceResponse::Text {
                content,
                input_tokens,
                output_tokens,
            } => {
                assert_eq!(content, "test response");
                // StubLlm returns 0s for tokens, which is fine
                let _ = (*input_tokens, *output_tokens);
            }
            _ => panic!("Expected Text response"),
        }
    }

    #[tokio::test]
    async fn captures_tool_calls_response() {
        let stub = Arc::new(StubLlm::new("tool result"));
        let recorder = make_recorder(stub);

        // complete_with_tools on StubLlm returns text, not tool_calls.
        // But we can still verify the recording captures it as text.
        let request = ToolCompletionRequest::new(vec![ChatMessage::user("use a tool")], vec![]);
        recorder.complete_with_tools(request).await.unwrap();

        let steps = recorder.steps.lock().await;
        assert_eq!(steps.len(), 2); // user_input + text (StubLlm doesn't return tool_calls)
    }

    #[tokio::test]
    async fn no_spurious_user_input_for_tool_iterations() {
        let stub = Arc::new(StubLlm::new("response"));
        let recorder = make_recorder(stub);

        // First call with user message
        let request = CompletionRequest::new(vec![
            ChatMessage::system("sys"),
            ChatMessage::user("Do something"),
        ]);
        recorder.complete(request).await.unwrap();

        // Second call: same messages plus tool result (no new user message)
        let request = CompletionRequest::new(vec![
            ChatMessage::system("sys"),
            ChatMessage::user("Do something"),
            ChatMessage::assistant("I'll use a tool"),
            ChatMessage::tool_result("call_1", "echo", "result"),
        ]);
        recorder.complete(request).await.unwrap();

        let steps = recorder.steps.lock().await;
        // Step 0: user_input "Do something"
        // Step 1: text response
        // Step 2: text response (no new user_input since no new user messages)
        assert_eq!(steps.len(), 3);
        assert!(matches!(
            &steps[0].response,
            TraceResponse::UserInput { .. }
        ));
        assert!(matches!(&steps[1].response, TraceResponse::Text { .. }));
        assert!(matches!(&steps[2].response, TraceResponse::Text { .. }));
    }

    #[tokio::test]
    async fn captures_tool_results_for_verification() {
        let stub = Arc::new(StubLlm::new("response"));
        let recorder = make_recorder(stub);

        // First call: user asks something
        let request = CompletionRequest::new(vec![
            ChatMessage::system("sys"),
            ChatMessage::user("Do something"),
        ]);
        recorder.complete(request).await.unwrap();

        // Second call: includes tool results from previous tool_calls
        let request = CompletionRequest::new(vec![
            ChatMessage::system("sys"),
            ChatMessage::user("Do something"),
            ChatMessage::assistant("I'll use a tool"),
            ChatMessage::tool_result("call_1", "echo", "echoed: hello"),
            ChatMessage::tool_result("call_2", "time", "2026-03-04T14:00:00Z"),
        ]);
        recorder.complete(request).await.unwrap();

        let steps = recorder.steps.lock().await;
        // Step 2 (the second LLM response) should have expected_tool_results
        let step = &steps[2];
        assert_eq!(step.expected_tool_results.len(), 2);
        assert_eq!(step.expected_tool_results[0].name, "echo");
        assert_eq!(step.expected_tool_results[0].content, "echoed: hello");
        assert_eq!(step.expected_tool_results[1].name, "time");
    }

    #[tokio::test]
    async fn request_hint_extraction() {
        let stub = Arc::new(StubLlm::new("response"));
        let recorder = make_recorder(stub);

        let request = CompletionRequest::new(vec![
            ChatMessage::system("sys"),
            ChatMessage::user("What time is it?"),
        ]);
        recorder.complete(request).await.unwrap();

        let steps = recorder.steps.lock().await;
        let text_step = &steps[1];
        let hint = text_step.request_hint.as_ref().unwrap();
        assert_eq!(
            hint.last_user_message_contains.as_deref(),
            Some("What time is it?")
        );
        assert_eq!(hint.min_message_count, Some(2));
    }

    #[tokio::test]
    async fn flush_writes_valid_json_with_all_fields() {
        let dir = tempfile::tempdir().unwrap();
        let path = dir.path().join("trace.json");

        let stub = Arc::new(StubLlm::new("response"));
        let recorder = RecordingLlm::new(stub, path.clone(), "flush-test".to_string());

        // Simulate a memory snapshot
        recorder
            .memory_snapshot
            .lock()
            .await
            .push(MemorySnapshotEntry {
                path: "context/test.md".to_string(),
                content: "test content".to_string(),
            });

        // Simulate an HTTP exchange
        recorder
            .http_interceptor
            .after_response(
                &HttpExchangeRequest {
                    method: "GET".to_string(),
                    url: "https://api.example.com/data".to_string(),
                    headers: Vec::new(),
                    body: None,
                },
                &HttpExchangeResponse {
                    status: 200,
                    headers: Vec::new(),
                    body: r#"{"ok": true}"#.to_string(),
                },
            )
            .await;

        let request = CompletionRequest::new(vec![ChatMessage::user("hello")]);
        recorder.complete(request).await.unwrap();
        recorder.flush().await.unwrap();

        let content = tokio::fs::read_to_string(&path).await.unwrap();
        let trace: TraceFile = serde_json::from_str(&content).unwrap();
        assert_eq!(trace.model_name, "flush-test");
        assert_eq!(trace.memory_snapshot.len(), 1);
        assert_eq!(trace.memory_snapshot[0].path, "context/test.md");
        assert_eq!(trace.http_exchanges.len(), 1);
        assert_eq!(trace.http_exchanges[0].response.status, 200);
        assert_eq!(trace.steps.len(), 2);
    }

    #[test]
    fn from_env_returns_none_when_unset() {
        // SAFETY: This test is single-threaded and no other thread reads this var.
        unsafe { std::env::remove_var("IRONCLAW_RECORD_TRACE") };
        let stub = Arc::new(StubLlm::new("response"));
        let result = RecordingLlm::from_env(stub);
        assert!(result.is_none());
    }

    #[tokio::test]
    async fn recording_http_interceptor_passes_through_and_records() {
        let interceptor = RecordingHttpInterceptor::new();

        let req = HttpExchangeRequest {
            method: "GET".to_string(),
            url: "https://example.com".to_string(),
            headers: Vec::new(),
            body: None,
        };

        // before_request should return None (pass through)
        assert!(interceptor.before_request(&req).await.is_none());

        // after_response records the exchange
        let resp = HttpExchangeResponse {
            status: 200,
            headers: Vec::new(),
            body: "ok".to_string(),
        };
        interceptor.after_response(&req, &resp).await;

        let exchanges = interceptor.take_exchanges().await;
        assert_eq!(exchanges.len(), 1);
        assert_eq!(exchanges[0].request.url, "https://example.com");
    }

    #[tokio::test]
    async fn replaying_http_interceptor_returns_recorded_responses() {
        let exchanges = vec![HttpExchange {
            request: HttpExchangeRequest {
                method: "GET".to_string(),
                url: "https://api.example.com/data".to_string(),
                headers: Vec::new(),
                body: None,
            },
            response: HttpExchangeResponse {
                status: 200,
                headers: Vec::new(),
                body: r#"{"items": []}"#.to_string(),
            },
        }];
        let interceptor = ReplayingHttpInterceptor::new(exchanges);

        // First request: returns recorded response
        let req = HttpExchangeRequest {
            method: "GET".to_string(),
            url: "https://api.example.com/data".to_string(),
            headers: Vec::new(),
            body: None,
        };
        let resp = interceptor.before_request(&req).await.unwrap();
        assert_eq!(resp.status, 200);
        assert_eq!(resp.body, r#"{"items": []}"#);

        // Second request: no more exchanges → 599
        let resp = interceptor.before_request(&req).await.unwrap();
        assert_eq!(resp.status, 599);
    }

    #[test]
    fn serde_roundtrip_extended_format() {
        let trace = TraceFile {
            model_name: "test".to_string(),
            memory_snapshot: vec![MemorySnapshotEntry {
                path: "context/vision.md".to_string(),
                content: "Be helpful.".to_string(),
            }],
            http_exchanges: vec![HttpExchange {
                request: HttpExchangeRequest {
                    method: "GET".to_string(),
                    url: "https://api.example.com".to_string(),
                    headers: vec![("Accept".to_string(), "application/json".to_string())],
                    body: None,
                },
                response: HttpExchangeResponse {
                    status: 200,
                    headers: Vec::new(),
                    body: "{}".to_string(),
                },
            }],
            steps: vec![
                TraceStep {
                    request_hint: None,
                    response: TraceResponse::UserInput {
                        content: "hello".to_string(),
                    },
                    expected_tool_results: Vec::new(),
                },
                TraceStep {
                    request_hint: Some(RequestHint {
                        last_user_message_contains: Some("hello".to_string()),
                        min_message_count: Some(2),
                    }),
                    response: TraceResponse::ToolCalls {
                        tool_calls: vec![TraceToolCall {
                            id: "call_1".to_string(),
                            name: "echo".to_string(),
                            arguments: serde_json::json!({"message": "hi"}),
                        }],
                        input_tokens: 50,
                        output_tokens: 20,
                    },
                    expected_tool_results: Vec::new(),
                },
                TraceStep {
                    request_hint: None,
                    response: TraceResponse::Text {
                        content: "done".to_string(),
                        input_tokens: 80,
                        output_tokens: 10,
                    },
                    expected_tool_results: vec![ExpectedToolResult {
                        tool_call_id: "call_1".to_string(),
                        name: "echo".to_string(),
                        content: "hi".to_string(),
                    }],
                },
            ],
        };

        let json = serde_json::to_string_pretty(&trace).unwrap();
        let parsed: TraceFile = serde_json::from_str(&json).unwrap();
        assert_eq!(parsed.model_name, "test");
        assert_eq!(parsed.memory_snapshot.len(), 1);
        assert_eq!(parsed.http_exchanges.len(), 1);
        assert_eq!(parsed.steps.len(), 3);
        assert_eq!(parsed.steps[2].expected_tool_results.len(), 1);
    }

    #[test]
    fn backward_compatible_with_old_format() {
        // Old format without memory_snapshot, http_exchanges, expected_tool_results
        let json = r#"{
            "model_name": "old-trace",
            "steps": [
                {
                    "response": {
                        "type": "text",
                        "content": "hello",
                        "input_tokens": 10,
                        "output_tokens": 5
                    }
                }
            ]
        }"#;
        let trace: TraceFile = serde_json::from_str(json).unwrap();
        assert_eq!(trace.model_name, "old-trace");
        assert!(trace.memory_snapshot.is_empty());
        assert!(trace.http_exchanges.is_empty());
        assert!(trace.steps[0].expected_tool_results.is_empty());
    }
}