{"repo":"NousResearch/hermes-agent","public_id":"6202","display_label":"Fix misleading compression feedback and no-op reporting","summary":"These issues and PRs address cases where compression commands report success even when the transcript is unchanged, making feedback more truthful and clarifying token estimates for no-op compressions. A broader agent core fix bundle is also included.","subsystem":"gateway","counts":{"members":6,"open_issues":0,"open_issues_distinct":0,"open_prs":0,"closed_issues":1,"merged_prs":1,"attempt_prs":4},"landed_fix":{"status":"merged_to_main","basis":"structural","pr":7541},"resolution":{"state":"unresolved","by":null},"freshness":{"state":"stale","last_verified_at":"2026-04-11T04:16:54+00:00","is_stale":true},"grouping":{"backbone":"STRUCTURAL_SPANNING","link_density":0.3333333333333333},"fix_edges":[{"issue_number":6202,"pr_number":7541,"tier":"verified","basis":"superseded_ref","confidence":0.9,"recoverable_from_timeline":false},{"issue_number":6217,"pr_number":7541,"tier":"verified","basis":"superseded_ref","confidence":0.9,"recoverable_from_timeline":false}],"members":[{"kind":"issue","number":6202,"title":"/compress can report a successful compression even when the transcript is unchanged","url":null,"state":"closed"},{"kind":"pr","number":6270,"title":"fix(gateway): detect /compress no-op and clarify token estimates","url":null,"state":"closed","close_reason":{"refs":[{"kind":"commit","value":"1ffd92cc9","number":0},{"kind":"pr","value":"#6202","number":6202},{"kind":"pr","value":"#6217","number":6217}],"category":"implemented_elsewhere","implication":"superseded"},"merged":false,"is_fix_pr":true,"fix_tier":"suggested","fix_detail_withheld":true},{"kind":"pr","number":6277,"title":"fix(gateway): make compress responses truthful","url":null,"state":"closed","close_reason":{"refs":[{"kind":"pr","value":"#6944","number":6944}],"category":"superseded_by_pr","implication":"superseded"},"merged":false},{"kind":"pr","number":6944,"title":"fix(compression): make manual compression feedback truthful","url":null,"state":"closed","close_reason":{"refs":[{"kind":"pr","value":"#7541","number":7541}],"category":"merged_via","implication":"superseded"},"merged":false},{"kind":"pr","number":7541,"title":"fix+feat: agent core fixes (Bucket P — 4 PRs)","url":null,"state":"merged","close_reason":{"category":"merged","implication":"superseded"},"merged":true,"is_fix_pr":true,"fix_tier":"verified","files_changed":["agent/auxiliary_client.py","agent/manual_compression_feedback.py","cli.py","gateway/run.py","hermes_cli/config.py","tests/agent/test_auxiliary_client.py","tests/cli/test_manual_compress.py","tests/gateway/test_compress_command.py","tests/tools/test_delegate.py","tests/tools/test_file_operations_edge_cases.py","tools/delegate_tool.py","tools/file_operations.py"],"fix_hunks":[{"file":"agent/auxiliary_client.py","hunks":["@@ -1425,6 +1425,23 @@ def resolve_provider_client(\n \n         client = OpenAI(api_key=[redacted:secret-assignment] base_url=base_url,\n                         **({\"default_headers\": headers} if headers else {}))\n+\n+        # Copilot GPT-5+ models (except gpt-5-mini) require the Responses\n+        # API — they are not accessible via /chat/completions.  Wrap the\n+        # plain client in CodexAuxiliaryClient so call_llm() transparently\n+        # routes through responses.stream().\n+        if provider == \"copilot\" and final_model and not raw_codex:\n+            try:\n+                from hermes_cli.models import _should_use_copilot_responses_api\n+                if _should_use_copilot_responses_api(final_model):\n+                    logger.debug(\n+                        \"resolve_provider_client: copilot model %s needs \"\n+                        \"Responses API — wrapping with CodexAuxiliaryClient\",\n+                        final_model)\n+                    client = CodexAuxiliaryClient(client, final_model)\n+            except ImportError:\n+                pass\n+\n         logger.debug(\"resolve_provider_client: %s (%s)\", provider, final_model)\n         return (_to_async_client(client, final_model) if async_mode\n                 else (client, final_model))"]},{"file":"agent/manual_compression_feedback.py","hunks":["@@ -0,0 +1,49 @@\n+\"\"\"User-facing summaries for manual compression commands.\"\"\"\n+\n+from __future__ import annotations\n+\n+from typing import Any, Sequence\n+\n+\n+def summarize_manual_compression(\n+    before_messages: Sequence[dict[str, Any]],\n+    after_messages: Sequence[dict[str, Any]],\n+    before_tokens: int,\n+    after_tokens: int,\n+) -> dict[str, Any]:\n+    \"\"\"Return consistent user-facing feedback for manual compression.\"\"\"\n+    before_count = len(before_messages)\n+    after_count = len(after_messages)\n+    noop = list(after_messages) == list(before_messages)\n+\n+    if noop:\n+        headline = f\"No changes from compression: {before_count} messages\"\n+        if after_tokens == before_tokens:\n+            token_line = (\n+                f\"Rough transcript estimate: ~{before_tokens:,} tokens (unchanged)\"\n+            )\n+        else:\n+            token_line = (\n+                f\"Rough transcript estimate: ~{before_tokens:,} → \"\n+                f\"~{after_tokens:,} tokens\"\n+            )\n+    else:\n+        headline = f\"Compressed: {before_count} → {after_count} messages\"\n+        token_line = (\n+            f\"Rough transcript estimate: ~{before_tokens:,} → \"\n+            f\"~{after_tokens:,} tokens\"\n+        )\n+\n+    note = None\n+    if not noop and after_count < before_count and after_tokens > before_tokens:\n+        note = (\n+            \"Note: fewer messages can still raise this rough transcript estimate \"\n+            \"when compression rewrites the transcript into denser summaries.\"\n+        )\n+\n+    return {\n+        \"noop\": noop,\n+        \"headline\": headline,\n+        \"token_line\": token_line,\n+        \"note\": note,\n+    }"]},{"file":"cli.py","hunks":["@@ -5835,21 +5835,29 @@ def _manual_compress(self):\n         original_count = len(self.conversation_history)\n         try:\n             from agent.model_metadata import estimate_messages_tokens_rough\n-            approx_tokens = [redacted:secret-assignment]\n+            from agent.manual_compression_feedback import summarize_manual_compression\n+            original_history = list(self.conversation_history)\n+            approx_tokens = [redacted:secret-assignment]\n             print(f\"🗜️  Compressing {original_count} messages (~{approx_tokens:,} tokens)...\")\n \n-            compressed, _new_system = self.agent._compress_context(\n-                self.conversation_history,\n+            compressed, _ = self.agent._compress_context(\n+                original_history,\n                 self.agent._cached_system_prompt or \"\",\n                 approx_tokens=[redacted:secret-assignment]\n             )\n             self.conversation_history = compressed\n-            new_count = len(self.conversation_history)\n             new_tokens = [redacted:secret-assignment]\n-            print(\n-                f\"  ✅ Compressed: {original_count} → {new_count} messages \"\n-                f\"(~{approx_tokens:,} → ~{new_tokens:,} tokens)\"\n+            summary = summarize_manual_compression(\n+                original_history,\n+                self.conversation_history,\n+                approx_tokens,\n+                new_tokens,\n             )\n+            icon = \"🗜️\" if summary[\"noop\"] else \"✅\"\n+            print(f\"  {icon} {summary['headline']}\")\n+            print(f\"     {summary['token_line']}\")\n+            if summary[\"note\"]:\n+                print(f\"     {summary['note']}\")\n \n         except Exception as e:\n             print(f\"  ❌ Compression failed: {e}\")"]},{"file":"gateway/run.py","hunks":["@@ -5196,6 +5196,7 @@ async def _handle_compress_command(self, event: MessageEvent) -> str:\n \n         try:\n             from run_agent import AIAgent\n+            from agent.manual_compression_feedback import summarize_manual_compression\n             from agent.model_metadata import estimate_messages_tokens_rough\n \n             runtime_kwargs = _resolve_runtime_agent_kwargs()","@@ -5223,6 +5224,13 @@ async def _handle_compress_command(self, event: MessageEvent) -> str:\n             )\n             tmp_agent._print_fn = lambda *a, **kw: None\n \n+            compressor = tmp_agent.context_compressor\n+            compress_start = compressor.protect_first_n\n+            compress_start = compressor._align_boundary_forward(msgs, compress_start)\n+            compress_end = compressor._find_tail_cut_by_tokens(msgs, compress_start)\n+            if compress_start >= compress_end:\n+                return \"Nothing to compress yet (the transcript is still all protected context).\"\n+\n             loop = asyncio.get_event_loop()\n             compressed, _ = await loop.run_in_executor(\n                 None,","@@ -5243,13 +5251,17 @@ async def _handle_compress_command(self, event: MessageEvent) -> str:\n             self.session_store.update_session(\n                 session_entry.session_key, last_prompt_tokens=0\n             )\n-            new_count = len(compressed)\n             new_tokens = [redacted:secret-assignment]\n-\n-            return (\n-                f\"🗜️ Compressed: {original_count} → {new_count} messages\\n\"\n-                f\"~{approx_tokens:,} → ~{new_tokens:,} tokens\"\n+            summary = summarize_manual_compression(\n+                msgs,\n+                compressed,\n+                approx_tokens,\n+                new_tokens,\n             )\n+            lines = [f\"🗜️ {summary['headline']}\", summary[\"token_line\"]]\n+            if summary[\"note\"]:\n+                lines.append(summary[\"note\"])\n+            return \"\\n\".join(lines)\n         except Exception as e:\n             logger.warning(\"Manual compress failed: %s\", e)\n             return f\"Compression failed: {e}\""]},{"file":"hermes_cli/config.py","hunks":["@@ -538,6 +538,8 @@ def _ensure_hermes_home_managed(home: Path):\n         \"api_key\": \"\",     # API key for delegation.base_url (falls back to OPENAI_API_KEY)\n         \"max_iterations\": 50,  # per-subagent iteration cap (each subagent gets its own budget,\n                                # independent of the parent's max_iterations)\n+        \"reasoning_effort\": \"\",  # reasoning effort for subagents: \"xhigh\", \"high\", \"medium\",\n+                                 # \"low\", \"minimal\", \"none\" (empty = inherit parent's level)\n     },\n \n     # Ephemeral prefill messages file — JSON list of {role, content} dicts"]},{"file":"tests/agent/test_auxiliary_client.py","hunks":["@@ -756,6 +756,69 @@ def test_resolve_provider_client_copilot_uses_runtime_credentials(self, monkeypa\n         assert call_kwargs[\"base_url\"] == \"https://api.githubcopilot.com\"\n         assert call_kwargs[\"default_headers\"][\"Editor-Version\"]\n \n+    def test_copilot_responses_api_model_wrapped_in_codex_client(self, monkeypatch):\n+        \"\"\"Copilot GPT-5+ models (needing Responses API) are wrapped in CodexAuxiliaryClient.\"\"\"\n+        monkeypatch.delenv(\"GITHUB_TOKEN\", raising=False)\n+        monkeypatch.delenv(\"GH_TOKEN\", raising=False)\n+\n+        with (\n+            patch(\n+                \"hermes_cli.auth.resolve_api_key_provider_credentials\",\n+                return_value={\n+                    \"provider\": \"copilot\",\n+                    \"api_key\": \"test-token\",\n+                    \"base_url\": \"https://api.githubcopilot.com\",\n+                    \"source\": \"gh auth token\",\n+                },\n+            ),\n+            patch(\"agent.auxiliary_client.OpenAI\"),\n+        ):\n+            client, model = resolve_provider_client(\"copilot\", model=\"gpt-5.4-mini\")\n+\n+        from agent.auxiliary_client import CodexAuxiliaryClient\n+        assert isinstance(client, CodexAuxiliaryClient)\n+        assert model == \"gpt-5.4-mini\"\n+\n+    def test_copilot_chat_completions_model_not_wrapped(self, monkeypatch):\n+        \"\"\"Copilot models using Chat Completions are returned as plain OpenAI clients.\"\"\"\n+        monkeypatch.delenv(\"GITHUB_TOKEN\", raising=False)\n+        monkeypatch.delenv(\"GH_TOKEN\", raising=False)\n+\n+        with (\n+            patch(\n+                \"hermes_cli.auth.resolve_api_key_provider_credentials\",\n+                return_value={\n+                    \"provider\": \"copilot\",\n+                    \"api_key\": \"test-token\",\n+                    \"base_url\": \"https://api.githubcopilot.com\",\n+                    \"source\": \"gh auth token\",\n+                },\n+            ),\n+            patch(\"agent.auxiliary_client.OpenAI\") as mock_openai,\n+        ):\n+            client, model = resolve_provider_client(\"copilot\", model=\"gpt-4.1-mini\")\n+\n+        from agent.auxiliary_client import CodexAuxiliaryClient\n+        assert not isinstance(client, CodexAuxiliaryClient)\n+        assert model == \"gpt-4.1-mini\"\n+        # Should be the raw mock OpenAI client\n+        assert client is mock_openai.return_value\n+\n+    def test_vision_auto_uses_active_provider_as_fallback(self, monkeypatch):\n+        \"\"\"When no OpenRouter/Nous available, vision auto falls back to active provider.\"\"\"\n+        monkeypatch.setenv(\"ANTHROPIC_API_KEY\", \"***\")\n+        with (\n+            patch(\"agent.auxiliary_client._read_nous_auth\", return_value=None),\n+            patch(\"agent.auxiliary_client._read_main_provider\", return_value=\"anthropic\"),\n+            patch(\"agent.auxiliary_client._read_main_model\", return_value=\"claude-sonnet-4\"),\n+            patch(\"agent.anthropic_adapter.build_anthropic_client\", return_value=MagicMock()),\n+            patch(\"agent.anthropic_adapter.resolve_anthropic_token\", return_value=\"***\"),\n+        ):\n+            client, model = get_vision_auxiliary_client()\n+\n+        assert client is not None\n+        assert client.__class__.__name__ == \"AnthropicAuxiliaryClient\"\n+\n     def test_vision_auto_prefers_active_provider_over_openrouter(self, monkeypatch):\n         \"\"\"Active provider is tried before OpenRouter in vision auto.\"\"\"\n         monkeypatch.setenv(\"OPENROUTER_API_KEY\", \"or-key\")"]},{"file":"tests/cli/test_manual_compress.py","hunks":["@@ -0,0 +1,66 @@\n+\"\"\"Tests for CLI manual compression messaging.\"\"\"\n+\n+from unittest.mock import MagicMock, patch\n+\n+from tests.cli.test_cli_init import _make_cli\n+\n+\n+def _make_history() -> list[dict[str, str]]:\n+    return [\n+        {\"role\": \"user\", \"content\": \"one\"},\n+        {\"role\": \"assistant\", \"content\": \"two\"},\n+        {\"role\": \"user\", \"content\": \"three\"},\n+        {\"role\": \"assistant\", \"content\": \"four\"},\n+    ]\n+\n+\n+def test_manual_compress_reports_noop_without_success_banner(capsys):\n+    shell = _make_cli()\n+    history = _make_history()\n+    shell.conversation_history = history\n+    shell.agent = MagicMock()\n+    shell.agent.compression_enabled = True\n+    shell.agent._cached_system_prompt = \"\"\n+    shell.agent._compress_context.return_value = (list(history), \"\")\n+\n+    def _estimate(messages):\n+        assert messages == history\n+        return 100\n+\n+    with patch(\"agent.model_metadata.estimate_messages_tokens_rough\", side_effect=_estimate):\n+        shell._manual_compress()\n+\n+    output = capsys.readouterr().out\n+    assert \"No changes from compression\" in output\n+    assert \"✅ Compressed\" not in output\n+    assert \"Rough transcript estimate: ~100 tokens (unchanged)\" in output\n+\n+\n+def test_manual_compress_explains_when_token_estimate_rises(capsys):\n+    shell = _make_cli()\n+    history = _make_history()\n+    compressed = [\n+        history[0],\n+        {\"role\": \"assistant\", \"content\": \"Dense summary that still counts as more tokens.\"},\n+        history[-1],\n+    ]\n+    shell.conversation_history = history\n+    shell.agent = MagicMock()\n+    shell.agent.compression_enabled = True\n+    shell.agent._cached_system_prompt = \"\"\n+    shell.agent._compress_context.return_value = (compressed, \"\")\n+\n+    def _estimate(messages):\n+        if messages == history:\n+            return 100\n+        if messages == compressed:\n+            return 120\n+        raise AssertionError(f\"unexpected transcript: {messages!r}\")\n+\n+    with patch(\"agent.model_metadata.estimate_messages_tokens_rough\", side_effect=_estimate):\n+        shell._manual_compress()\n+\n+    output = capsys.readouterr().out\n+    assert \"✅ Compressed: 4 → 3 messages\" in output\n+    assert \"Rough transcript estimate: ~100 → ~120 tokens\" in output\n+    assert \"denser summaries\" in output"]},{"file":"tests/gateway/test_compress_command.py","hunks":["@@ -0,0 +1,121 @@\n+\"\"\"Tests for gateway /compress user-facing messaging.\"\"\"\n+\n+from datetime import datetime\n+from unittest.mock import MagicMock, patch\n+\n+import pytest\n+\n+from gateway.config import GatewayConfig, Platform, PlatformConfig\n+from gateway.platforms.base import MessageEvent\n+from gateway.session import SessionEntry, SessionSource, build_session_key\n+\n+\n+def _make_source() -> SessionSource:\n+    return SessionSource(\n+        platform=Platform.TELEGRAM,\n+        user_id=\"u1\",\n+        chat_id=\"c1\",\n+        user_name=\"tester\",\n+        chat_type=\"dm\",\n+    )\n+\n+\n+def _make_event(text: str = \"/compress\") -> MessageEvent:\n+    return MessageEvent(text=text, source=_make_source(), message_id=\"m1\")\n+\n+\n+def _make_history() -> list[dict[str, str]]:\n+    return [\n+        {\"role\": \"user\", \"content\": \"one\"},\n+        {\"role\": \"assistant\", \"content\": \"two\"},\n+        {\"role\": \"user\", \"content\": \"three\"},\n+        {\"role\": \"assistant\", \"content\": \"four\"},\n+    ]\n+\n+\n+def _make_runner(history: list[dict[str, str]]):\n+    from gateway.run import GatewayRunner\n+\n+    runner = object.__new__(GatewayRunner)\n+    runner.config = GatewayConfig(\n+        platforms={Platform.TELEGRAM: PlatformConfig(enabled=True, token=\"***\")}\n+    )\n+    session_entry = SessionEntry(\n+        session_key=build_session_key(_make_source()),\n+        session_id=\"sess-1\",\n+        created_at=datetime.now(),\n+        updated_at=datetime.now(),\n+        platform=Platform.TELEGRAM,\n+        chat_type=\"dm\",\n+    )\n+    runner.session_store = MagicMock()\n+    runner.session_store.get_or_create_session.return_value = session_entry\n+    runner.session_store.load_transcript.return_value = history\n+    runner.session_store.rewrite_transcript = MagicMock()\n+    runner.session_store.update_session = MagicMock()\n+    runner.session_store._save = MagicMock()\n+    return runner\n+\n+\n[redacted:email]\n+async def test_compress_command_reports_noop_without_success_banner():\n+    history = _make_history()\n+    runner = _make_runner(history)\n+    agent_instance = MagicMock()\n+    agent_instance.context_compressor.protect_first_n = 0\n+    agent_instance.context_compressor._align_boundary_forward.return_value = 0\n+    agent_instance.context_compressor._find_tail_cut_by_tokens.return_value = 2\n+    agent_instance.session_id = \"sess-1\"\n+    agent_instance._compress_context.return_value = (list(history), \"\")\n+\n+    def _estimate(messages):\n+        assert messages == history\n+        return 100\n+\n+    with (\n+        patch(\"gateway.run._resolve_runtime_agent_kwargs\", return_value={\"api_key\": \"test-key\"}),\n+        patch(\"gateway.run._resolve_gateway_model\", return_value=\"test-model\"),\n+        patch(\"run_agent.AIAgent\", return_value=agent_instance),\n+        patch(\"agent.model_metadata.estimate_messages_tokens_rough\", side_effect=_estimate),\n+    ):\n+        result = await runner._handle_compress_command(_make_event())\n+\n+    assert \"No changes from compression\" in result\n+    assert \"Compressed:\" not in result\n+    assert \"Rough transcript estimate: ~100 tokens (unchanged)\" in result\n+\n+\n[redacted:email]\n+async def test_compress_command_explains_when_token_estimate_rises():\n+    history = _make_history()\n+    compressed = [\n+        history[0],\n+        {\"role\": \"assistant\", \"content\": \"Dense summary that still counts as more tokens.\"},\n+        history[-1],\n+    ]\n+    runner = _make_runner(history)\n+    agent_instance = MagicMock()\n+    agent_instance.context_compressor.protect_first_n = 0\n+    agent_instance.context_compressor._align_boundary_forward.return_value = 0\n+    agent_instance.context_compressor._find_tail_cut_by_tokens.return_value = 2\n+    agent_instance.session_id = \"sess-1\"\n+    agent_instance._compress_context.return_value = (compressed, \"\")\n+\n+    def _estimate(messages):\n+        if messages == history:\n+            return 100\n+        if messages == compressed:\n+            return 120\n+        raise AssertionError(f\"unexpected transcript: {messages!r}\")\n+\n+    with (\n+        patch(\"gateway.run._resolve_runtime_agent_kwargs\", return_value={\"api_key\": \"test-key\"}),\n+        patch(\"gateway.run._resolve_gateway_model\", return_value=\"test-model\"),\n+        patch(\"run_agent.AIAgent\", return_value=agent_instance),\n+        patch(\"agent.model_metadata.estimate_messages_tokens_rough\", side_effect=_estimate),\n+    ):\n+        result = await runner._handle_compress_command(_make_event())\n+\n+    assert \"Compressed: 4 → 3 messages\" in result\n+    assert \"Rough transcript estimate: ~100 → ~120 tokens\" in result\n+    assert \"denser summaries\" in result"]},{"file":"tests/tools/test_delegate.py","hunks":["@@ -1210,5 +1210,73 @@ def slow_run(**kwargs):\n             f\"Heartbeat should include last_activity_desc: {touch_calls}\")\n \n \n+class TestDelegationReasoningEffort(unittest.TestCase):\n+    \"\"\"Tests for delegation.reasoning_effort config override.\"\"\"\n+\n+    @patch(\"tools.delegate_tool._load_config\")\n+    @patch(\"run_agent.AIAgent\")\n+    def test_inherits_parent_reasoning_when_no_override(self, MockAgent, mock_cfg):\n+        \"\"\"With no delegation.reasoning_effort, child inherits parent's config.\"\"\"\n+        mock_cfg.return_value = {\"max_iterations\": 50, \"reasoning_effort\": \"\"}\n+        MockAgent.return_value = MagicMock()\n+        parent = _make_mock_parent()\n+        parent.reasoning_config = {\"enabled\": True, \"effort\": \"xhigh\"}\n+\n+        _build_child_agent(\n+            task_index=0, goal=\"test\", context=None, toolsets=None,\n+            model=None, max_iterations=50, parent_agent=parent,\n+        )\n+        call_kwargs = MockAgent.call_args[1]\n+        self.assertEqual(call_kwargs[\"reasoning_config\"], {\"enabled\": True, \"effort\": \"xhigh\"})\n+\n+    @patch(\"tools.delegate_tool._load_config\")\n+    @patch(\"run_agent.AIAgent\")\n+    def test_override_reasoning_effort_from_config(self, MockAgent, mock_cfg):\n+        \"\"\"delegation.reasoning_effort overrides the parent's level.\"\"\"\n+        mock_cfg.return_value = {\"max_iterations\": 50, \"reasoning_effort\": \"low\"}\n+        MockAgent.return_value = MagicMock()\n+        parent = _make_mock_parent()\n+        parent.reasoning_config = {\"enabled\": True, \"effort\": \"xhigh\"}\n+\n+        _build_child_agent(\n+            task_index=0, goal=\"test\", context=None, toolsets=None,\n+            model=None, max_iterations=50, parent_agent=parent,\n+        )\n+        call_kwargs = MockAgent.call_args[1]\n+        self.assertEqual(call_kwargs[\"reasoning_config\"], {\"enabled\": True, \"effort\": \"low\"})\n+\n+    @patch(\"tools.delegate_tool._load_config\")\n+    @patch(\"run_agent.AIAgent\")\n+    def test_override_reasoning_effort_none_disables(self, MockAgent, mock_cfg):\n+        \"\"\"delegation.reasoning_effort: 'none' disables thinking for subagents.\"\"\"\n+        mock_cfg.return_value = {\"max_iterations\": 50, \"reasoning_effort\": \"none\"}\n+        MockAgent.return_value = MagicMock()\n+        parent = _make_mock_parent()\n+        parent.reasoning_config = {\"enabled\": True, \"effort\": \"high\"}\n+\n+        _build_child_agent(\n+            task_index=0, goal=\"test\", context=None, toolsets=None,\n+            model=None, max_iterations=50, parent_agent=parent,\n+        )\n+        call_kwargs = MockAgent.call_args[1]\n+        self.assertEqual(call_kwargs[\"reasoning_config\"], {\"enabled\": False})\n+\n+    @patch(\"tools.delegate_tool._load_config\")\n+    @patch(\"run_agent.AIAgent\")\n+    def test_invalid_reasoning_effort_falls_back_to_parent(self, MockAgent, mock_cfg):\n+        \"\"\"Invalid delegation.reasoning_effort falls back to parent's config.\"\"\"\n+        mock_cfg.return_value = {\"max_iterations\": 50, \"reasoning_effort\": \"banana\"}\n+        MockAgent.return_value = MagicMock()\n+        parent = _make_mock_parent()\n+        parent.reasoning_config = {\"enabled\": True, \"effort\": \"medium\"}\n+\n+        _build_child_agent(\n+            task_index=0, goal=\"test\", context=None, toolsets=None,\n+            model=None, max_iterations=50, parent_agent=parent,\n+        )\n+        call_kwargs = MockAgent.call_args[1]\n+        self.assertEqual(call_kwargs[\"reasoning_config\"], {\"enabled\": True, \"effort\": \"medium\"})\n+\n+\n if __name__ == \"__main__\":\n     unittest.main()"]},{"file":"tests/tools/test_file_operations_edge_cases.py","hunks":["@@ -0,0 +1,148 @@\n+\"\"\"Tests for edge cases in tools/file_operations.py.\n+\n+Covers:\n+- ``_is_likely_binary()`` content-analysis branch (dead-code removal regression guard)\n+- ``_check_lint()`` robustness against file paths containing curly braces\n+\"\"\"\n+\n+import pytest\n+from unittest.mock import MagicMock, patch\n+\n+from tools.file_operations import ShellFileOperations\n+\n+\n+# =========================================================================\n+# _is_likely_binary edge cases\n+# =========================================================================\n+\n+\n+class TestIsLikelyBinary:\n+    \"\"\"Verify content-analysis logic after dead-code removal.\"\"\"\n+\n+    @pytest.fixture()\n+    def ops(self):\n+        return ShellFileOperations.__new__(ShellFileOperations)\n+\n+    def test_binary_extension_returns_true(self, ops):\n+        \"\"\"Known binary extensions should short-circuit without content analysis.\"\"\"\n+        assert ops._is_likely_binary(\"image.png\") is True\n+        assert ops._is_likely_binary(\"archive.tar.gz\", content_sample=\"hello\") is True\n+\n+    def test_text_content_returns_false(self, ops):\n+        \"\"\"Normal printable text should not be classified as binary.\"\"\"\n+        sample = \"Hello, world!\\nThis is a normal text file.\\n\"\n+        assert ops._is_likely_binary(\"unknown.xyz\", content_sample=sample) is False\n+\n+    def test_binary_content_returns_true(self, ops):\n+        \"\"\"Content with >30% non-printable characters should be classified as binary.\"\"\"\n+        # 500 NUL bytes + 500 printable = 50% non-printable → binary\n+        # Use .xyz extension (not in BINARY_EXTENSIONS) to ensure content analysis runs\n+        sample = \"\\x00\" * 500 + \"a\" * 500\n+        assert ops._is_likely_binary(\"data.xyz\", content_sample=sample) is True\n+\n+    def test_no_content_sample_returns_false(self, ops):\n+        \"\"\"When no content sample is provided and extension is unknown → not binary.\"\"\"\n+        assert ops._is_likely_binary(\"mystery_file\") is False\n+\n+    def test_none_content_sample_returns_false(self, ops):\n+        \"\"\"Explicit ``None`` content_sample should behave the same as missing.\"\"\"\n+        assert ops._is_likely_binary(\"mystery_file\", content_sample=None) is False\n+\n+    def test_empty_string_content_sample_returns_false(self, ops):\n+        \"\"\"Empty string is falsy, so content analysis should be skipped → not binary.\"\"\"\n+        assert ops._is_likely_binary(\"mystery_file\", content_sample=\"\") is False\n+\n+    def test_threshold_boundary(self, ops):\n+        \"\"\"Exactly 30% non-printable should NOT trigger binary classification (> 0.30, not >=).\"\"\"\n+        # 300 NUL bytes + 700 printable = 30.0% → should be False (uses strict >)\n+        sample = \"\\x00\" * 300 + \"a\" * 700\n+        assert ops._is_likely_binary(\"data.xyz\", content_sample=sample) is False\n+\n+    def test_just_above_threshold(self, ops):\n+        \"\"\"301/1000 = 30.1% non-printable → should be binary.\"\"\"\n+        sample = \"\\x00\" * 301 + \"a\" * 699\n+        assert ops._is_likely_binary(\"data.xyz\", content_sample=sample) is True\n+\n+    def test_tabs_and_newlines_excluded(self, ops):\n+        \"\"\"Tabs, carriage returns, and newlines should not count as non-printable.\"\"\"\n+        sample = \"\\t\" * 400 + \"\\n\" * 300 + \"\\r\" * 200 + \"a\" * 100\n+        assert ops._is_likely_binary(\"file.txt\", content_sample=sample) is False\n+\n+    def test_content_sample_longer_than_1000(self, ops):\n+        \"\"\"Only the first 1000 characters should be analysed.\"\"\"\n+        # First 1000 chars: 200 NUL + 800 printable = 20% → not binary\n+        # Remaining 1000 chars: all NUL → ignored by [:1000] slice\n+        sample = \"\\x00\" * 200 + \"a\" * 800 + \"\\x00\" * 1000\n+        assert ops._is_likely_binary(\"file.xyz\", content_sample=sample) is False\n+\n+\n+# =========================================================================\n+# _check_lint edge cases\n+# =========================================================================\n+\n+\n+class TestCheckLintBracePaths:\n+    \"\"\"Verify _check_lint handles file paths with curly braces safely.\"\"\"\n+\n+    @pytest.fixture()\n+    def ops(self):\n+        obj = ShellFileOperations.__new__(ShellFileOperations)\n+        obj._command_cache = {}\n+        return obj\n+\n+    def test_normal_path(self, ops):\n+        \"\"\"Normal path without braces should work as before.\"\"\"\n+        with patch.object(ops, \"_has_command\", return_value=True), \\\n+             patch.object(ops, \"_exec\") as mock_exec:\n+            mock_exec.return_value = MagicMock(exit_code=0, stdout=\"\")\n+            result = ops._check_lint(\"/tmp/test_file.py\")\n+\n+        assert result.success is True\n+        # Verify the command was built correctly\n+        cmd_arg = mock_exec.call_args[0][0]\n+        assert \"'/tmp/test_file.py'\" in cmd_arg\n+\n+    def test_path_with_curly_braces(self, ops):\n+        \"\"\"Path containing ``{`` and ``}`` must not raise KeyError/ValueError.\"\"\"\n+        with patch.object(ops, \"_has_command\", return_value=True), \\\n+             patch.object(ops, \"_exec\") as mock_exec:\n+            mock_exec.return_value = MagicMock(exit_code=0, stdout=\"\")\n+            # This would raise KeyError with .format() but works with .replace()\n+            result = ops._check_lint(\"/tmp/{test}_file.py\")\n+\n+        assert result.success is True\n+        cmd_arg = mock_exec.call_args[0][0]\n+        assert \"{test}\" in cmd_arg\n+\n+    def test_path_with_nested_braces(self, ops):\n+        \"\"\"Path with complex brace patterns like ``{{var}}`` should be safe.\"\"\"\n+        with patch.object(ops, \"_has_command\", return_value=True), \\\n+             patch.object(ops, \"_exec\") as mock_exec:\n+            mock_exec.return_value = MagicMock(exit_code=0, stdout=\"\")\n+            result = ops._check_lint(\"/tmp/{{var}}.py\")\n+\n+        assert result.success is True\n+\n+    def test_unsupported_extension_skipped(self, ops):\n+        \"\"\"Extensions without a linter should return a skipped result.\"\"\"\n+        result = ops._check_lint(\"/tmp/file.unknown_ext\")\n+        assert result.skipped is True\n+\n+    def test_missing_linter_skipped(self, ops):\n+        \"\"\"When the linter binary is not installed, skip gracefully.\"\"\"\n+        with patch.object(ops, \"_has_command\", return_value=False):\n+            result = ops._check_lint(\"/tmp/test.py\")\n+        assert result.skipped is True\n+\n+    def test_lint_failure_returns_output(self, ops):\n+        \"\"\"When the linter exits non-zero, result should capture output.\"\"\"\n+        with patch.object(ops, \"_has_command\", return_value=True), \\\n+             patch.object(ops, \"_exec\") as mock_exec:\n+            mock_exec.return_value = MagicMock(\n+                exit_code=1,\n+                stdout=\"SyntaxError: invalid syntax\",\n+            )\n+            result = ops._check_lint(\"/tmp/bad.py\")\n+\n+        assert result.success is False\n+        assert \"SyntaxError\" in result.output"]},{"file":"tools/delegate_tool.py","hunks":["@@ -312,6 +312,25 @@ def _child_thinking(text: str) -> None:\n     effective_acp_command = override_acp_command or getattr(parent_agent, \"acp_command\", None)\n     effective_acp_args = list(override_acp_args if override_acp_args is not None else (getattr(parent_agent, \"acp_args\", []) or []))\n \n+    # Resolve reasoning config: delegation override > parent inherit\n+    parent_reasoning = getattr(parent_agent, \"reasoning_config\", None)\n+    child_reasoning = parent_reasoning\n+    try:\n+        delegation_cfg = _load_config()\n+        delegation_effort = str(delegation_cfg.get(\"reasoning_effort\") or \"\").strip()\n+        if delegation_effort:\n+            from hermes_constants import parse_reasoning_effort\n+            parsed = parse_reasoning_effort(delegation_effort)\n+            if parsed is not None:\n+                child_reasoning = parsed\n+            else:\n+                logger.warning(\n+                    \"Unknown delegation.reasoning_effort '%s', inheriting parent level\",\n+                    delegation_effort,\n+                )\n+    except Exception as exc:\n+        logger.debug(\"Could not load delegation reasoning_effort: %s\", exc)\n+\n     child = AIAgent(\n         base_url=effective_base_url,\n         api_key=[redacted:secret-assignment]","@@ -322,7 +341,7 @@ def _child_thinking(text: str) -> None:\n         acp_args=effective_acp_args,\n         max_iterations=max_iterations,\n         max_tokens=[redacted:secret-assignment] \"max_tokens\", None),\n-        reasoning_config=getattr(parent_agent, \"reasoning_config\", None),\n+        reasoning_config=child_reasoning,\n         prefill_messages=getattr(parent_agent, \"prefill_messages\", None),\n         enabled_toolsets=child_toolsets,\n         quiet_mode=True,"]},{"file":"tools/file_operations.py","hunks":["@@ -386,9 +386,7 @@ def _is_likely_binary(self, path: str, content_sample: str = None) -> bool:\n         \n         # Content analysis: >30% non-printable chars = binary\n         if content_sample:\n-            if not content_sample:\n-                return False\n-            non_printable = sum(1 for c in content_sample[:1000] \n+            non_printable = sum(1 for c in content_sample[:1000]\n                                if ord(c) < 32 and c not in '\\n\\r\\t')\n             return non_printable / min(len(content_sample), 1000) > 0.30\n         ","@@ -810,7 +808,7 @@ def _check_lint(self, path: str) -> LintResult:\n             return LintResult(skipped=True, message=f\"{base_cmd} not available\")\n         \n         # Run linter\n-        cmd = linter_cmd.format(file=self._escape_shell_arg(path))\n+        cmd = linter_cmd.replace(\"{file}\", self._escape_shell_arg(path))\n         result = self._exec(cmd, timeout=30)\n         \n         return LintResult(\n"]}]},{"kind":"pr","number":24025,"title":"fix: report manual compression no-ops","url":null,"state":"closed","close_reason":{"refs":[{"kind":"pr","value":"#6202","number":6202}],"category":"volume_quota","implication":"active"},"merged":false}],"trust":{"default_tier":"verified","includes_suggested":false}}