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test_portkey_response_model.py(12.86 KB)Python

import os
from unittest.mock import MagicMock, Mock, patch
 
import pytest
 
from minisweagent.models import GLOBAL_MODEL_STATS
from minisweagent.models.portkey_response_model import PortkeyResponseAPIModel
from minisweagent.models.utils.actions_toolcall_response import BASH_TOOL_RESPONSE_API
 
 
def test_response_api_model_basic_query():
    """Test that Response API model uses client.responses with stateless interface."""
    mock_portkey_class = MagicMock()
    mock_client = MagicMock()
    mock_portkey_class.return_value = mock_client
 
    with (
        patch("minisweagent.models.portkey_response_model.Portkey", mock_portkey_class),
        patch.dict(os.environ, {"PORTKEY_API_KEY": "test-key"}),
        patch("minisweagent.models.portkey_response_model.litellm.cost_calculator.completion_cost", return_value=0.01),
    ):
        mock_response = Mock()
        mock_response.id = "resp_123"
        mock_response.output = [
            {"type": "function_call", "call_id": "call_abc", "name": "bash", "arguments": '{"command": "echo test"}'}
        ]
        mock_response.model_dump.return_value = {
            "id": "resp_123",
            "output": mock_response.output,
        }
        mock_client.responses.create.return_value = mock_response
 
        model = PortkeyResponseAPIModel(model_name="gpt-5-mini")
        messages = [{"role": "user", "content": "test"}]
        result = model.query(messages)
 
        assert result["extra"]["actions"] == [{"command": "echo test", "tool_call_id": "call_abc"}]
        mock_client.responses.create.assert_called_once_with(
            model="gpt-5-mini", input=messages, tools=[BASH_TOOL_RESPONSE_API]
        )
 
 
def test_response_api_model_stateless_flattens_response():
    """Test that Response API model flattens response objects for stateless API."""
    mock_portkey_class = MagicMock()
    mock_client = MagicMock()
    mock_portkey_class.return_value = mock_client
 
    with (
        patch("minisweagent.models.portkey_response_model.Portkey", mock_portkey_class),
        patch.dict(os.environ, {"PORTKEY_API_KEY": "test-key"}),
        patch("minisweagent.models.portkey_response_model.litellm.cost_calculator.completion_cost", return_value=0.01),
    ):
        mock_response = Mock()
        mock_response.id = "resp_456"
        mock_response.output = [
            {"type": "function_call", "call_id": "call_2", "name": "bash", "arguments": '{"command": "echo second"}'}
        ]
        mock_response.model_dump.return_value = {"id": "resp_456", "output": mock_response.output}
        mock_client.responses.create.return_value = mock_response
 
        model = PortkeyResponseAPIModel(model_name="gpt-5-mini")
        messages = [
            {"type": "message", "role": "user", "content": [{"type": "input_text", "text": "first"}]},
            {
                "object": "response",
                "output": [
                    {
                        "type": "function_call",
                        "call_id": "call_1",
                        "name": "bash",
                        "arguments": '{"command": "echo first"}',
                    },
                ],
                "extra": {"actions": [{"command": "echo first", "tool_call_id": "call_1"}]},
            },
            {"type": "function_call_output", "call_id": "call_1", "output": "first"},
            {"type": "message", "role": "user", "content": [{"type": "input_text", "text": "second"}]},
        ]
        result = model.query(messages)
 
        assert result["extra"]["actions"] == [{"command": "echo second", "tool_call_id": "call_2"}]
        # Verify that response objects are flattened and extra is stripped
        expected_input = [
            {"type": "message", "role": "user", "content": [{"type": "input_text", "text": "first"}]},
            {"type": "function_call", "call_id": "call_1", "name": "bash", "arguments": '{"command": "echo first"}'},
            {"type": "function_call_output", "call_id": "call_1", "output": "first"},
            {"type": "message", "role": "user", "content": [{"type": "input_text", "text": "second"}]},
        ]
        assert mock_client.responses.create.call_args[1]["input"] == expected_input
 
 
def test_response_api_model_multiple_tool_calls():
    """Test that Response API model handles multiple tool calls."""
    mock_portkey_class = MagicMock()
    mock_client = MagicMock()
    mock_portkey_class.return_value = mock_client
 
    with (
        patch("minisweagent.models.portkey_response_model.Portkey", mock_portkey_class),
        patch.dict(os.environ, {"PORTKEY_API_KEY": "test-key"}),
        patch("minisweagent.models.portkey_response_model.litellm.cost_calculator.completion_cost", return_value=0.01),
    ):
        mock_response = Mock()
        mock_response.id = "resp_789"
        mock_response.output = [
            {"type": "function_call", "call_id": "call_1", "name": "bash", "arguments": '{"command": "echo first"}'},
            {"type": "function_call", "call_id": "call_2", "name": "bash", "arguments": '{"command": "echo second"}'},
        ]
        mock_response.model_dump.return_value = {
            "id": "resp_789",
            "output": mock_response.output,
        }
        mock_client.responses.create.return_value = mock_response
 
        model = PortkeyResponseAPIModel(model_name="gpt-5-mini")
        messages = [{"role": "user", "content": "test"}]
        result = model.query(messages)
 
        assert result["extra"]["actions"] == [
            {"command": "echo first", "tool_call_id": "call_1"},
            {"command": "echo second", "tool_call_id": "call_2"},
        ]
 
 
def test_response_api_model_cost_tracking():
    """Test that Response API model tracks costs correctly."""
    mock_portkey_class = MagicMock()
    mock_client = MagicMock()
    mock_portkey_class.return_value = mock_client
 
    with (
        patch("minisweagent.models.portkey_response_model.Portkey", mock_portkey_class),
        patch.dict(os.environ, {"PORTKEY_API_KEY": "test-key"}),
        patch("minisweagent.models.portkey_response_model.litellm.cost_calculator.completion_cost", return_value=0.05),
    ):
        mock_response = Mock()
        mock_response.id = "resp_cost"
        mock_response.output = [
            {"type": "function_call", "call_id": "call_cost", "name": "bash", "arguments": '{"command": "echo cost"}'}
        ]
        mock_response.model_dump.return_value = {"id": "resp_cost", "output": mock_response.output}
        mock_client.responses.create.return_value = mock_response
 
        initial_global_cost = GLOBAL_MODEL_STATS.cost
        model = PortkeyResponseAPIModel(model_name="gpt-5-mini")
 
        messages = [{"role": "user", "content": "test"}]
        result = model.query(messages)
 
        assert result["extra"]["cost"] == 0.05
        assert GLOBAL_MODEL_STATS.cost == initial_global_cost + 0.05
 
 
def test_response_api_model_zero_cost_assertion():
    """Test that Response API model raises RuntimeError for zero cost."""
    mock_portkey_class = MagicMock()
    mock_client = MagicMock()
    mock_portkey_class.return_value = mock_client
 
    with (
        patch("minisweagent.models.portkey_response_model.Portkey", mock_portkey_class),
        patch.dict(os.environ, {"PORTKEY_API_KEY": "test-key"}),
        patch("minisweagent.models.portkey_response_model.litellm.cost_calculator.completion_cost", return_value=0.0),
    ):
        mock_response = Mock()
        mock_response.id = "resp_zero"
        mock_response.output = [
            {"type": "function_call", "call_id": "call_zero", "name": "bash", "arguments": '{"command": "echo test"}'}
        ]
        mock_response.model_dump.return_value = {"id": "resp_zero", "output": mock_response.output}
        mock_client.responses.create.return_value = mock_response
 
        model = PortkeyResponseAPIModel(model_name="gpt-5-mini")
        messages = [{"role": "user", "content": "test"}]
 
        with pytest.raises(RuntimeError, match="Error calculating cost"):
            model.query(messages)
 
 
def test_response_api_model_with_model_kwargs():
    """Test that Response API model passes model_kwargs to the API."""
    mock_portkey_class = MagicMock()
    mock_client = MagicMock()
    mock_portkey_class.return_value = mock_client
 
    with (
        patch("minisweagent.models.portkey_response_model.Portkey", mock_portkey_class),
        patch.dict(os.environ, {"PORTKEY_API_KEY": "test-key"}),
        patch("minisweagent.models.portkey_response_model.litellm.cost_calculator.completion_cost", return_value=0.01),
    ):
        mock_response = Mock()
        mock_response.id = "resp_kwargs"
        mock_response.output = [
            {"type": "function_call", "call_id": "call_kw", "name": "bash", "arguments": '{"command": "echo kwargs"}'}
        ]
        mock_response.model_dump.return_value = {"id": "resp_kwargs", "output": mock_response.output}
        mock_client.responses.create.return_value = mock_response
 
        model = PortkeyResponseAPIModel(model_name="gpt-5-mini", model_kwargs={"temperature": 0.7, "max_tokens": 100})
        messages = [{"role": "user", "content": "test"}]
        model.query(messages)
 
        call_kwargs = mock_client.responses.create.call_args[1]
        assert call_kwargs["temperature"] == 0.7
        assert call_kwargs["max_tokens"] == 100
 
 
def test_response_api_model_retry_on_rate_limit():
    """Test that Response API model retries on rate limit errors."""
    mock_portkey_class = MagicMock()
    mock_client = MagicMock()
    mock_portkey_class.return_value = mock_client
 
    with (
        patch("minisweagent.models.portkey_response_model.Portkey", mock_portkey_class),
        patch.dict(os.environ, {"PORTKEY_API_KEY": "test-key", "MSWEA_MODEL_RETRY_STOP_AFTER_ATTEMPT": "2"}),
        patch("minisweagent.models.portkey_response_model.litellm.cost_calculator.completion_cost", return_value=0.01),
    ):
        call_count = 0
 
        def side_effect(*args, **kwargs):
            nonlocal call_count
            call_count += 1
            if call_count == 1:
                raise Exception("Rate limit exceeded")
            mock_response = Mock()
            mock_response.id = "resp_retry"
            mock_response.output = [
                {
                    "type": "function_call",
                    "call_id": "call_retry",
                    "name": "bash",
                    "arguments": '{"command": "echo Success after retry"}',
                }
            ]
            mock_response.model_dump.return_value = {
                "id": "resp_retry",
                "output": mock_response.output,
            }
            return mock_response
 
        mock_client.responses.create.side_effect = side_effect
 
        model = PortkeyResponseAPIModel(model_name="gpt-5-mini")
        messages = [{"role": "user", "content": "test"}]
        result = model.query(messages)
 
        assert result["extra"]["actions"] == [{"command": "echo Success after retry", "tool_call_id": "call_retry"}]
        assert call_count == 2
 
 
def test_response_api_model_no_retry_on_type_error():
    """Test that Response API model does not retry on TypeError."""
    mock_portkey_class = MagicMock()
    mock_client = MagicMock()
    mock_portkey_class.return_value = mock_client
 
    with (
        patch("minisweagent.models.portkey_response_model.Portkey", mock_portkey_class),
        patch.dict(os.environ, {"PORTKEY_API_KEY": "test-key"}),
    ):
        mock_client.responses.create.side_effect = TypeError("Invalid type")
 
        model = PortkeyResponseAPIModel(model_name="gpt-5-mini")
        messages = [{"role": "user", "content": "test"}]
 
        with pytest.raises(TypeError, match="Invalid type"):
            model.query(messages)
 
        # Should only be called once (no retries)
        assert mock_client.responses.create.call_count == 1
 
 
def test_response_api_model_serialize():
    """Test that Response API model serializes correctly."""
    mock_portkey_class = MagicMock()
    mock_client = MagicMock()
    mock_portkey_class.return_value = mock_client
 
    with (
        patch("minisweagent.models.portkey_response_model.Portkey", mock_portkey_class),
        patch.dict(os.environ, {"PORTKEY_API_KEY": "test-key"}),
    ):
        model = PortkeyResponseAPIModel(model_name="gpt-5-mini")
        serialized = model.serialize()
 
        assert serialized["info"]["config"]["model"]["model_name"] == "gpt-5-mini"
        assert "PortkeyResponseAPIModel" in serialized["info"]["config"]["model_type"]
 
 
def test_response_api_model_get_template_vars():
    """Test that Response API model returns template vars from config."""
    mock_portkey_class = MagicMock()
    mock_client = MagicMock()
    mock_portkey_class.return_value = mock_client
 
    with (
        patch("minisweagent.models.portkey_response_model.Portkey", mock_portkey_class),
        patch.dict(os.environ, {"PORTKEY_API_KEY": "test-key"}),
    ):
        model = PortkeyResponseAPIModel(model_name="gpt-5-mini")
        template_vars = model.get_template_vars()
 
        assert template_vars["model_name"] == "gpt-5-mini"
 

306 lines

1	`import os`
2	`from unittest.mock import MagicMock, Mock, patch`
3
4	`import pytest`
5
6	`from minisweagent.models import GLOBAL_MODEL_STATS`
7	`from minisweagent.models.portkey_response_model import PortkeyResponseAPIModel`
8	`from minisweagent.models.utils.actions_toolcall_response import BASH_TOOL_RESPONSE_API`
9
10
11	`def test_response_api_model_basic_query():`
12	`"""Test that Response API model uses client.responses with stateless interface."""`
13	`mock_portkey_class = MagicMock()`
14	`mock_client = MagicMock()`
15	`mock_portkey_class.return_value = mock_client`
16
17	`with (`
18	`patch("minisweagent.models.portkey_response_model.Portkey", mock_portkey_class),`
19	`patch.dict(os.environ, {"PORTKEY_API_KEY": "test-key"}),`
20	`patch("minisweagent.models.portkey_response_model.litellm.cost_calculator.completion_cost", return_value=0.01),`
21	`):`
22	`mock_response = Mock()`
23	`mock_response.id = "resp_123"`
24	`mock_response.output = [`
25	`{"type": "function_call", "call_id": "call_abc", "name": "bash", "arguments": '{"command": "echo test"}'}`
26	`]`
27	`mock_response.model_dump.return_value = {`
28	`"id": "resp_123",`
29	`"output": mock_response.output,`
30	`}`
31	`mock_client.responses.create.return_value = mock_response`
32
33	`model = PortkeyResponseAPIModel(model_name="gpt-5-mini")`
34	`messages = [{"role": "user", "content": "test"}]`
35	`result = model.query(messages)`
36
37	`assert result["extra"]["actions"] == [{"command": "echo test", "tool_call_id": "call_abc"}]`
38	`mock_client.responses.create.assert_called_once_with(`
39	`model="gpt-5-mini", input=messages, tools=[BASH_TOOL_RESPONSE_API]`
40	`)`
41
42
43	`def test_response_api_model_stateless_flattens_response():`
44	`"""Test that Response API model flattens response objects for stateless API."""`
45	`mock_portkey_class = MagicMock()`
46	`mock_client = MagicMock()`
47	`mock_portkey_class.return_value = mock_client`
48
49	`with (`
50	`patch("minisweagent.models.portkey_response_model.Portkey", mock_portkey_class),`
51	`patch.dict(os.environ, {"PORTKEY_API_KEY": "test-key"}),`
52	`patch("minisweagent.models.portkey_response_model.litellm.cost_calculator.completion_cost", return_value=0.01),`
53	`):`
54	`mock_response = Mock()`
55	`mock_response.id = "resp_456"`
56	`mock_response.output = [`
57	`{"type": "function_call", "call_id": "call_2", "name": "bash", "arguments": '{"command": "echo second"}'}`
58	`]`
59	`mock_response.model_dump.return_value = {"id": "resp_456", "output": mock_response.output}`
60	`mock_client.responses.create.return_value = mock_response`
61
62	`model = PortkeyResponseAPIModel(model_name="gpt-5-mini")`
63	`messages = [`
64	`{"type": "message", "role": "user", "content": [{"type": "input_text", "text": "first"}]},`
65	`{`
66	`"object": "response",`
67	`"output": [`
68	`{`
69	`"type": "function_call",`
70	`"call_id": "call_1",`
71	`"name": "bash",`
72	`"arguments": '{"command": "echo first"}',`
73	`},`
74	`],`
75	`"extra": {"actions": [{"command": "echo first", "tool_call_id": "call_1"}]},`
76	`},`
77	`{"type": "function_call_output", "call_id": "call_1", "output": "first"},`
78	`{"type": "message", "role": "user", "content": [{"type": "input_text", "text": "second"}]},`
79	`]`
80	`result = model.query(messages)`
81
82	`assert result["extra"]["actions"] == [{"command": "echo second", "tool_call_id": "call_2"}]`
83	`# Verify that response objects are flattened and extra is stripped`
84	`expected_input = [`
85	`{"type": "message", "role": "user", "content": [{"type": "input_text", "text": "first"}]},`
86	`{"type": "function_call", "call_id": "call_1", "name": "bash", "arguments": '{"command": "echo first"}'},`
87	`{"type": "function_call_output", "call_id": "call_1", "output": "first"},`
88	`{"type": "message", "role": "user", "content": [{"type": "input_text", "text": "second"}]},`
89	`]`
90	`assert mock_client.responses.create.call_args[1]["input"] == expected_input`
91
92
93	`def test_response_api_model_multiple_tool_calls():`
94	`"""Test that Response API model handles multiple tool calls."""`
95	`mock_portkey_class = MagicMock()`
96	`mock_client = MagicMock()`
97	`mock_portkey_class.return_value = mock_client`
98
99	`with (`
100	`patch("minisweagent.models.portkey_response_model.Portkey", mock_portkey_class),`
101	`patch.dict(os.environ, {"PORTKEY_API_KEY": "test-key"}),`
102	`patch("minisweagent.models.portkey_response_model.litellm.cost_calculator.completion_cost", return_value=0.01),`
103	`):`
104	`mock_response = Mock()`
105	`mock_response.id = "resp_789"`
106	`mock_response.output = [`
107	`{"type": "function_call", "call_id": "call_1", "name": "bash", "arguments": '{"command": "echo first"}'},`
108	`{"type": "function_call", "call_id": "call_2", "name": "bash", "arguments": '{"command": "echo second"}'},`
109	`]`
110	`mock_response.model_dump.return_value = {`
111	`"id": "resp_789",`
112	`"output": mock_response.output,`
113	`}`
114	`mock_client.responses.create.return_value = mock_response`
115
116	`model = PortkeyResponseAPIModel(model_name="gpt-5-mini")`
117	`messages = [{"role": "user", "content": "test"}]`
118	`result = model.query(messages)`
119
120	`assert result["extra"]["actions"] == [`
121	`{"command": "echo first", "tool_call_id": "call_1"},`
122	`{"command": "echo second", "tool_call_id": "call_2"},`
123	`]`
124
125
126	`def test_response_api_model_cost_tracking():`
127	`"""Test that Response API model tracks costs correctly."""`
128	`mock_portkey_class = MagicMock()`
129	`mock_client = MagicMock()`
130	`mock_portkey_class.return_value = mock_client`
131
132	`with (`
133	`patch("minisweagent.models.portkey_response_model.Portkey", mock_portkey_class),`
134	`patch.dict(os.environ, {"PORTKEY_API_KEY": "test-key"}),`
135	`patch("minisweagent.models.portkey_response_model.litellm.cost_calculator.completion_cost", return_value=0.05),`
136	`):`
137	`mock_response = Mock()`
138	`mock_response.id = "resp_cost"`
139	`mock_response.output = [`
140	`{"type": "function_call", "call_id": "call_cost", "name": "bash", "arguments": '{"command": "echo cost"}'}`
141	`]`
142	`mock_response.model_dump.return_value = {"id": "resp_cost", "output": mock_response.output}`
143	`mock_client.responses.create.return_value = mock_response`
144
145	`initial_global_cost = GLOBAL_MODEL_STATS.cost`
146	`model = PortkeyResponseAPIModel(model_name="gpt-5-mini")`
147
148	`messages = [{"role": "user", "content": "test"}]`
149	`result = model.query(messages)`
150
151	`assert result["extra"]["cost"] == 0.05`
152	`assert GLOBAL_MODEL_STATS.cost == initial_global_cost + 0.05`
153
154
155	`def test_response_api_model_zero_cost_assertion():`
156	`"""Test that Response API model raises RuntimeError for zero cost."""`
157	`mock_portkey_class = MagicMock()`
158	`mock_client = MagicMock()`
159	`mock_portkey_class.return_value = mock_client`
160
161	`with (`
162	`patch("minisweagent.models.portkey_response_model.Portkey", mock_portkey_class),`
163	`patch.dict(os.environ, {"PORTKEY_API_KEY": "test-key"}),`
164	`patch("minisweagent.models.portkey_response_model.litellm.cost_calculator.completion_cost", return_value=0.0),`
165	`):`
166	`mock_response = Mock()`
167	`mock_response.id = "resp_zero"`
168	`mock_response.output = [`
169	`{"type": "function_call", "call_id": "call_zero", "name": "bash", "arguments": '{"command": "echo test"}'}`
170	`]`
171	`mock_response.model_dump.return_value = {"id": "resp_zero", "output": mock_response.output}`
172	`mock_client.responses.create.return_value = mock_response`
173
174	`model = PortkeyResponseAPIModel(model_name="gpt-5-mini")`
175	`messages = [{"role": "user", "content": "test"}]`
176
177	`with pytest.raises(RuntimeError, match="Error calculating cost"):`
178	`model.query(messages)`
179
180
181	`def test_response_api_model_with_model_kwargs():`
182	`"""Test that Response API model passes model_kwargs to the API."""`
183	`mock_portkey_class = MagicMock()`
184	`mock_client = MagicMock()`
185	`mock_portkey_class.return_value = mock_client`
186
187	`with (`
188	`patch("minisweagent.models.portkey_response_model.Portkey", mock_portkey_class),`
189	`patch.dict(os.environ, {"PORTKEY_API_KEY": "test-key"}),`
190	`patch("minisweagent.models.portkey_response_model.litellm.cost_calculator.completion_cost", return_value=0.01),`
191	`):`
192	`mock_response = Mock()`
193	`mock_response.id = "resp_kwargs"`
194	`mock_response.output = [`
195	`{"type": "function_call", "call_id": "call_kw", "name": "bash", "arguments": '{"command": "echo kwargs"}'}`
196	`]`
197	`mock_response.model_dump.return_value = {"id": "resp_kwargs", "output": mock_response.output}`
198	`mock_client.responses.create.return_value = mock_response`
199
200	`model = PortkeyResponseAPIModel(model_name="gpt-5-mini", model_kwargs={"temperature": 0.7, "max_tokens": 100})`
201	`messages = [{"role": "user", "content": "test"}]`
202	`model.query(messages)`
203
204	`call_kwargs = mock_client.responses.create.call_args[1]`
205	`assert call_kwargs["temperature"] == 0.7`
206	`assert call_kwargs["max_tokens"] == 100`
207
208
209	`def test_response_api_model_retry_on_rate_limit():`
210	`"""Test that Response API model retries on rate limit errors."""`
211	`mock_portkey_class = MagicMock()`
212	`mock_client = MagicMock()`
213	`mock_portkey_class.return_value = mock_client`
214
215	`with (`
216	`patch("minisweagent.models.portkey_response_model.Portkey", mock_portkey_class),`
217	`patch.dict(os.environ, {"PORTKEY_API_KEY": "test-key", "MSWEA_MODEL_RETRY_STOP_AFTER_ATTEMPT": "2"}),`
218	`patch("minisweagent.models.portkey_response_model.litellm.cost_calculator.completion_cost", return_value=0.01),`
219	`):`
220	`call_count = 0`
221
222	`def side_effect(args, *kwargs):`
223	`nonlocal call_count`
224	`call_count += 1`
225	`if call_count == 1:`
226	`raise Exception("Rate limit exceeded")`
227	`mock_response = Mock()`
228	`mock_response.id = "resp_retry"`
229	`mock_response.output = [`
230	`{`
231	`"type": "function_call",`
232	`"call_id": "call_retry",`
233	`"name": "bash",`
234	`"arguments": '{"command": "echo Success after retry"}',`
235	`}`
236	`]`
237	`mock_response.model_dump.return_value = {`
238	`"id": "resp_retry",`
239	`"output": mock_response.output,`
240	`}`
241	`return mock_response`
242
243	`mock_client.responses.create.side_effect = side_effect`
244
245	`model = PortkeyResponseAPIModel(model_name="gpt-5-mini")`
246	`messages = [{"role": "user", "content": "test"}]`
247	`result = model.query(messages)`
248
249	`assert result["extra"]["actions"] == [{"command": "echo Success after retry", "tool_call_id": "call_retry"}]`
250	`assert call_count == 2`
251
252
253	`def test_response_api_model_no_retry_on_type_error():`
254	`"""Test that Response API model does not retry on TypeError."""`
255	`mock_portkey_class = MagicMock()`
256	`mock_client = MagicMock()`
257	`mock_portkey_class.return_value = mock_client`
258
259	`with (`
260	`patch("minisweagent.models.portkey_response_model.Portkey", mock_portkey_class),`
261	`patch.dict(os.environ, {"PORTKEY_API_KEY": "test-key"}),`
262	`):`
263	`mock_client.responses.create.side_effect = TypeError("Invalid type")`
264
265	`model = PortkeyResponseAPIModel(model_name="gpt-5-mini")`
266	`messages = [{"role": "user", "content": "test"}]`
267
268	`with pytest.raises(TypeError, match="Invalid type"):`
269	`model.query(messages)`
270
271	`# Should only be called once (no retries)`
272	`assert mock_client.responses.create.call_count == 1`
273
274
275	`def test_response_api_model_serialize():`
276	`"""Test that Response API model serializes correctly."""`
277	`mock_portkey_class = MagicMock()`
278	`mock_client = MagicMock()`
279	`mock_portkey_class.return_value = mock_client`
280
281	`with (`
282	`patch("minisweagent.models.portkey_response_model.Portkey", mock_portkey_class),`
283	`patch.dict(os.environ, {"PORTKEY_API_KEY": "test-key"}),`
284	`):`
285	`model = PortkeyResponseAPIModel(model_name="gpt-5-mini")`
286	`serialized = model.serialize()`
287
288	`assert serialized["info"]["config"]["model"]["model_name"] == "gpt-5-mini"`
289	`assert "PortkeyResponseAPIModel" in serialized["info"]["config"]["model_type"]`
290
291
292	`def test_response_api_model_get_template_vars():`
293	`"""Test that Response API model returns template vars from config."""`
294	`mock_portkey_class = MagicMock()`
295	`mock_client = MagicMock()`
296	`mock_portkey_class.return_value = mock_client`
297
298	`with (`
299	`patch("minisweagent.models.portkey_response_model.Portkey", mock_portkey_class),`
300	`patch.dict(os.environ, {"PORTKEY_API_KEY": "test-key"}),`
301	`):`
302	`model = PortkeyResponseAPIModel(model_name="gpt-5-mini")`
303	`template_vars = model.get_template_vars()`
304
305	`assert template_vars["model_name"] == "gpt-5-mini"`
306