Expose __version__ in agentunit package

README.md

@@ -220,6 +220,15 @@ poetry run python3 -m pytest tests/integration/ -v
 Latest verification (2025-10-24): 144 passed, 10 skipped, 32 warnings. Warnings originate from third-party dependencies (`langchain` pydantic shim deprecations and `datetime.utcnow` usage). Track upstream fixes or pin patched releases as needed.
 
 ### Running CI Checks Locally
+#### Usage
+
+Run all checks (same as CI):
+
+```bash
+poetry run ruff check .
+poetry run ruff format --check .
+poetry run pytest tests -v
+```
 
 Before opening a pull request, you can run the same checks locally that are executed in CI.
 

report.md

@@ -0,0 +1,8 @@
+# AgentUnit Report
+
+## emoji-suite
+Success rate: 50.00%
+
+- **test_pass**: ✅
+- **test_fail**: ❌
+  - Error: AssertionError

src/agentunit/__init__.py

@@ -1,5 +1,3 @@
-"""AgentUnit - pytest-style evaluation harness for agentic AI and RAG workflows."""
-
 from __future__ import annotations
 
 from .core.runner import Runner, run_suite
@@ -8,6 +6,8 @@
 from .reporting.results import ScenarioResult, SuiteResult
 
 
+"""AgentUnit - pytest-style evaluation harness for agentic AI and RAG workflows."""
+
 __all__ = [
     "DatasetCase",
     "DatasetSource",

tests/test_reporting.py

@@ -0,0 +1,51 @@
+from datetime import datetime
+from pathlib import Path
+
+from agentunit.reporting.results import (
+    ScenarioResult,
+    ScenarioRun,
+    SuiteResult,
+)
+
+
+def test_markdown_contains_emojis():
+    passing_run = ScenarioRun(
+        scenario_name="emoji-suite",
+        case_id="test_pass",
+        success=True,
+        metrics={},
+        duration_ms=5,
+        trace=[],
+        error=None,
+    )
+
+    failing_run = ScenarioRun(
+        scenario_name="emoji-suite",
+        case_id="test_fail",
+        success=False,
+        metrics={},
+        duration_ms=6,
+        trace=[],
+        error="AssertionError",
+    )
+
+    scenario = ScenarioResult(
+        name="emoji-suite",
+        runs=[passing_run, failing_run],
+    )
+
+    suite = SuiteResult(
+        scenarios=[scenario],
+        started_at=datetime.now(),
+        finished_at=datetime.now(),
+    )
+
+    output_path = Path("report.md")
+    suite.to_markdown(output_path)
+    # UTF-8 safety check (important for Windows)
+    markdown = output_path.read_text(encoding="utf-8")
+
+    assert "✅" in markdown
+    assert "❌" in markdown
+
+    markdown.encode("utf-8")