fix(agent): scope Ollama/GLM stop-to-length heuristic to Ollama only

The _is_ollama_glm_backend() function was too broad: any local endpoint
running a GLM model was treated as Ollama, triggering the stop->length
misreport heuristic introduced in 8011aa3. This caused false truncation
detection on sglang, vLLM, LM Studio, and other non-Ollama servers that
correctly report finish_reason.

When a GLM model on sglang/vLLM returned finish_reason='stop', the agent
mistakenly reclassified it as 'length' if the response didn't end with
a whitelisted punctuation character (ASCII or CJK). This particularly
affected Chinese-language responses and Markdown-formatted text.

Root cause: the is_local_endpoint() fallback assumed any local GLM
endpoint = Ollama. But many non-Ollama servers also run on localhost.

Fix: remove the is_local_endpoint() catch-all. Only detect Ollama via
its distinctive signatures (port 11434, 'ollama' in URL). All other
local servers are assumed to report finish_reason correctly.

This is the correct tradeoff because:
- False negatives (Ollama at custom port, heuristic not triggered) only
  mean the user sees a truncated response — same as having no heuristic
- False positives (non-Ollama server, heuristic wrongly triggered) inject
  spurious continuation messages into the conversation — strictly worse

Adds two tests:
- sglang GLM response is NOT reclassified as truncated
- Ollama GLM on port 11434 still triggers the heuristic as before

Co-authored-by: Hermes Agent <hermes@nousresearch.com>

tests/run_agent/test_run_agent.py

@@ -4526,6 +4526,83 @@ class TestRunConversation:
         assert result["api_calls"] == 2
         assert result["final_response"] == "Based on the search results, the best next"
 
+    def test_sglang_glm_stop_without_terminal_boundary_does_not_continue(self, agent):
+        """sglang/vLLM-hosted GLM models report finish_reason correctly.
+
+        The stop->length workaround must NOT apply to non-Ollama local
+        servers that expose OpenAI-compatible /v1 endpoints (sglang, vLLM,
+        LM Studio, etc.).  A Chinese-text response ending without ASCII
+        punctuation should not be reclassified as truncated.
+        """
+        self._setup_agent(agent)
+        agent.base_url = "http://127.0.0.1:60000/v1"
+        agent._base_url_lower = agent.base_url.lower()
+        agent.model = "glm-5-fp8"
+
+        tool_turn = _mock_response(
+            content="",
+            finish_reason="tool_calls",
+            tool_calls=[_mock_tool_call(name="web_search", arguments="{}", call_id="c1")],
+        )
+        # Response ends with Chinese character (no ASCII punctuation) — NOT truncated
+        normal_stop = _mock_response(
+            content="根据搜索结果，建议修改配置",
+            finish_reason="stop",
+        )
+        agent.client.chat.completions.create.side_effect = [tool_turn, normal_stop]
+
+        with (
+            patch("run_agent.handle_function_call", return_value="search result"),
+            patch.object(agent, "_persist_session"),
+            patch.object(agent, "_save_trajectory"),
+            patch.object(agent, "_cleanup_task_resources"),
+        ):
+            result = agent.run_conversation("hello")
+
+        assert result["completed"] is True
+        assert result["api_calls"] == 2
+        assert result["final_response"] == "根据搜索结果，建议修改配置"
+
+    def test_ollama_glm_on_port_11434_still_triggers_heuristic(self, agent):
+        """Ollama on port 11434 should still trigger the stop->length heuristic."""
+        self._setup_agent(agent)
+        agent.base_url = "http://localhost:11434/v1"
+        agent._base_url_lower = agent.base_url.lower()
+        agent.model = "glm-5.1:cloud"
+
+        tool_turn = _mock_response(
+            content="",
+            finish_reason="tool_calls",
+            tool_calls=[_mock_tool_call(name="web_search", arguments="{}", call_id="c1")],
+        )
+        misreported_stop = _mock_response(
+            content="Based on the search results, the best next",
+            finish_reason="stop",
+        )
+        continued = _mock_response(
+            content=" step is to update the config.",
+            finish_reason="stop",
+        )
+        agent.client.chat.completions.create.side_effect = [
+            tool_turn,
+            misreported_stop,
+            continued,
+        ]
+
+        with (
+            patch("run_agent.handle_function_call", return_value="search result"),
+            patch.object(agent, "_persist_session"),
+            patch.object(agent, "_save_trajectory"),
+            patch.object(agent, "_cleanup_task_resources"),
+        ):
+            result = agent.run_conversation("hello")
+
+        assert result["completed"] is True
+        assert result["api_calls"] == 3
+        third_call_messages = agent.client.chat.completions.create.call_args_list[2].kwargs["messages"]
+        assert "truncated by the output length limit" in third_call_messages[-1]["content"]
+
+
     def test_length_thinking_exhausted_skips_continuation(self, agent):
         """When finish_reason='length' but content is only thinking, skip retries."""
         self._setup_agent(agent)