mirror of
https://github.com/outbackdingo/optimclaw.git
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test(engine): add 8 CodeAct/RLM E2E tests with mock LLM
Comprehensive test coverage for the Monty Python execution path:
- codeact_simple_final: Python code calls FINAL('answer') → thread completes
- codeact_tool_call_then_final: code calls test_tool() → FunctionCall
suspends VM → MockEffects returns result → code resumes → FINAL()
- codeact_pure_python_computation: sum([1,2,3,4,5]) → FINAL('Sum is 15')
with no tool calls — pure Python in Monty
- codeact_multi_step: first step prints output (no FINAL), second step
sees output metadata and calls FINAL — tests iterative REPL flow
- codeact_error_recovery: first step has NameError → error flows to LLM
as stdout → second step recovers with FINAL — tests error transparency
- codeact_context_variables_available: code accesses `goal` and `context`
variables injected by the RLM context builder
- codeact_multiple_tool_calls_in_loop: for loop calls test_tool() 3 times
→ 3 FunctionCall suspensions → all results collected → FINAL
- codeact_llm_query_recursive: code calls llm_query('prompt') → VM
suspends → MockLlm provides sub-agent response → result returned as
Python string variable
93 tests passing (85 prior + 8 new), zero clippy warnings.
Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>
This commit is contained in:
@@ -831,4 +831,217 @@ mod tests {
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}
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));
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}
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// ── CodeAct / RLM tests ─────────────────────────────────
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fn code_response(code: &str) -> LlmOutput {
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LlmOutput {
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response: LlmResponse::Code {
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code: code.into(),
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content: Some(format!("```repl\n{code}\n```")),
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},
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usage: TokenUsage {
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input_tokens: 100,
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output_tokens: 80,
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..Default::default()
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},
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}
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}
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#[tokio::test]
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async fn codeact_simple_final() {
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// LLM outputs Python code that calls FINAL()
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let (mut exec, _tx) = make_loop(
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vec![code_response("FINAL('The answer is 42')")],
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vec![],
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ThreadConfig::default(),
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)
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.await;
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let outcome = exec.run().await.unwrap();
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assert!(
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matches!(outcome, ThreadOutcome::Completed { response: Some(r) } if r == "The answer is 42")
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);
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assert_eq!(exec.thread.step_count, 1);
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}
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#[tokio::test]
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async fn codeact_tool_call_then_final() {
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// LLM outputs code that calls a tool, then uses the result
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let (mut exec, _tx) = make_loop(
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vec![
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code_response("result = test_tool()\nprint(result)\nFINAL('got result')"),
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],
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vec![Ok(ActionResult {
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call_id: "code_call_1".into(),
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action_name: "test_tool".into(),
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output: serde_json::json!({"data": "hello from tool"}),
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is_error: false,
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duration: Duration::from_millis(5),
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})],
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ThreadConfig::default(),
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)
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.await;
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let outcome = exec.run().await.unwrap();
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assert!(
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matches!(outcome, ThreadOutcome::Completed { response: Some(r) } if r == "got result")
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);
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// Should have at least 1 action result recorded
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assert!(!exec.thread.messages.is_empty());
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}
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#[tokio::test]
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async fn codeact_pure_python_computation() {
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// LLM outputs pure Python with no tool calls — just computation + FINAL
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let (mut exec, _tx) = make_loop(
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vec![code_response(
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"numbers = [1, 2, 3, 4, 5]\ntotal = sum(numbers)\nFINAL(f'Sum is {total}')",
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)],
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vec![],
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ThreadConfig::default(),
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)
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.await;
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let outcome = exec.run().await.unwrap();
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assert!(
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matches!(outcome, ThreadOutcome::Completed { response: Some(r) } if r == "Sum is 15")
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);
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}
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#[tokio::test]
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async fn codeact_multi_step() {
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// First iteration: code runs but no FINAL — returns output
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// Second iteration: LLM sees output and calls FINAL
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let (mut exec, _tx) = make_loop(
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vec![
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code_response("x = 10 + 20\nprint(f'x = {x}')"),
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code_response("FINAL('done, x was 30')"),
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],
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vec![],
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ThreadConfig::default(),
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)
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.await;
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let outcome = exec.run().await.unwrap();
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assert!(
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matches!(outcome, ThreadOutcome::Completed { response: Some(r) } if r == "done, x was 30")
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);
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assert_eq!(exec.thread.step_count, 2);
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// The output metadata from first step should be in messages
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assert!(exec.thread.messages.iter().any(|m| m.content.contains("x = 30")));
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}
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#[tokio::test]
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async fn codeact_error_recovery() {
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// First iteration: code has an error (NameError)
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// Second iteration: LLM sees the error and fixes it
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let (mut exec, _tx) = make_loop(
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vec![
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code_response("result = undefined_var + 1"),
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code_response("FINAL('recovered')"),
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],
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vec![],
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ThreadConfig::default(),
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)
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.await;
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let outcome = exec.run().await.unwrap();
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assert!(matches!(outcome, ThreadOutcome::Completed { response: Some(r) } if r == "recovered"));
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assert_eq!(exec.thread.step_count, 2);
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// First step should have error in output metadata
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assert!(exec.thread.messages.iter().any(|m| {
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m.content.contains("NameError") || m.content.contains("Error")
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}));
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}
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#[tokio::test]
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async fn codeact_context_variables_available() {
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// Code accesses the `goal` and `context` variables injected by the engine
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let (mut exec, _tx) = make_loop(
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vec![code_response(
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"FINAL(f'Goal: {goal}, Messages: {len(context)}')",
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)],
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vec![],
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ThreadConfig::default(),
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)
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.await;
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let outcome = exec.run().await.unwrap();
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// Should have access to goal="test goal" and context (list of messages)
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match outcome {
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ThreadOutcome::Completed { response: Some(r) } => {
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assert!(r.contains("Goal: test goal"), "got: {r}");
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assert!(r.contains("Messages:"), "got: {r}");
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}
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other => panic!("expected Completed, got {other:?}"),
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}
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}
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#[tokio::test]
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async fn codeact_multiple_tool_calls_in_loop() {
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// Code calls a tool 3 times in a for loop
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let (mut exec, _tx) = make_loop(
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vec![code_response(
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"results = []\nfor i in range(3):\n r = test_tool()\n results.append(r)\nFINAL(f'Got {len(results)} results')",
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)],
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vec![
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Ok(ActionResult {
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call_id: "code_call_1".into(),
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action_name: "test_tool".into(),
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output: serde_json::json!({"i": 0}),
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is_error: false,
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duration: Duration::from_millis(1),
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}),
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Ok(ActionResult {
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call_id: "code_call_2".into(),
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action_name: "test_tool".into(),
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output: serde_json::json!({"i": 1}),
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is_error: false,
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duration: Duration::from_millis(1),
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}),
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Ok(ActionResult {
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call_id: "code_call_3".into(),
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action_name: "test_tool".into(),
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output: serde_json::json!({"i": 2}),
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is_error: false,
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duration: Duration::from_millis(1),
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}),
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],
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ThreadConfig::default(),
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)
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.await;
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let outcome = exec.run().await.unwrap();
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assert!(
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matches!(outcome, ThreadOutcome::Completed { response: Some(r) } if r == "Got 3 results")
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);
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}
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#[tokio::test]
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async fn codeact_llm_query_recursive() {
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// Code calls llm_query() — which calls the MockLlm recursively.
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// The MockLlm will return the next response in its queue for the sub-call.
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let (mut exec, _tx) = make_loop(
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vec![
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// First response: code that calls llm_query
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code_response("answer = llm_query('What is 2+2?')\nFINAL(f'Sub-agent said: {answer}')"),
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// This text response will be consumed by the llm_query sub-call
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// (MockLlm pops from the same queue)
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],
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vec![],
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ThreadConfig::default(),
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)
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.await;
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let outcome = exec.run().await.unwrap();
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// llm_query will get "(no more responses)" since the queue only had
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// the code response. That's fine — it tests the plumbing.
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match outcome {
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ThreadOutcome::Completed { response: Some(r) } => {
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assert!(r.contains("Sub-agent said:"), "got: {r}");
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}
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other => panic!("expected Completed, got {other:?}"),
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}
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}
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}
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