from __future__ import annotations import json import unittest from oclaw.runtime.chat.tool_runtime import ( compact_turn_tool_messages_for_storage, tool_llm_message_max_chars, truncate_tool_result_for_llm_messages, ) from oclaw.platform.persistence.sqlite_store import SqliteStore class ToolLlmTruncationTests(unittest.TestCase): def test_small_payload_unchanged(self) -> None: d = {"ok": True, "files": ["a.txt", "b.txt"], "count": 2} self.assertEqual(truncate_tool_result_for_llm_messages(d), d) def test_huge_files_truncated(self) -> None: cap = 8000 files = [f"f{i:05d}.txt" for i in range(5000)] d = {"ok": True, "files": files, "root": "C:\\\\test"} out = truncate_tool_result_for_llm_messages(d, max_chars=cap) self.assertTrue(out.get("_truncated_for_llm")) self.assertLessEqual(len(json.dumps(out, ensure_ascii=False)), cap) self.assertIn("files_total", out) self.assertGreater(out["files_total"], len(out.get("files") or [])) def test_tool_llm_max_chars_env(self) -> None: import os from unittest import mock with mock.patch.dict(os.environ, {"AIA_TOOL_LLM_MESSAGE_MAX_CHARS": "9000"}, clear=False): self.assertEqual(tool_llm_message_max_chars(), 9000) def test_compact_turn_tool_messages_for_storage(self) -> None: import tempfile import uuid db = f"{tempfile.gettempdir()}/oclaw-test-{uuid.uuid4().hex}.sqlite" store = SqliteStore(db) sess = store.create_session("t") turn_uuid = "turn-1" store.add_message( session_id=sess.id, role="assistant", content="", tool_calls=[{"id": "c1", "name": "echo", "arguments": {"x": 1}}], turn_uuid=turn_uuid, ) huge = "x" * 200_000 row = store.add_message( session_id=sess.id, role="tool", content=json.dumps({"ok": True, "blob": huge}, ensure_ascii=False), tool_calls={"tool_call_id": "c1", "name": "echo", "assistant_message_id": 1}, turn_uuid=turn_uuid, ) before = store.get_messages(session_id=sess.id, limit=20) before_tool = [m for m in before if m.id == row.id][0] self.assertNotIn("_truncated_for_llm", str(before_tool.content or "")) from unittest import mock with mock.patch.dict("os.environ", {"AIA_TOOL_LLM_MESSAGE_MAX_CHARS": "8000"}, clear=False): stats = compact_turn_tool_messages_for_storage( store=store, session_id=sess.id, turn_uuid=turn_uuid, ) self.assertGreaterEqual(int(stats.get("scanned") or 0), 1) self.assertGreaterEqual(int(stats.get("updated") or 0), 1) after = store.get_messages(session_id=sess.id, limit=20) after_tool = [m for m in after if m.id == row.id][0] self.assertIn("_truncated_for_llm", str(after_tool.content or "")) if __name__ == "__main__": unittest.main()