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test_fire.py(6.04 KB)Python

#!/usr/bin/env python3
"""Fire tests: Real API integration tests that cost money.
 
################################################################################
#                                                                              #
#                         ⚠️  CRITICAL WARNING ⚠️                              #
#                                                                              #
#   THIS TEST FILE SHOULD NEVER BE RUN BY AN AI AGENT.                         #
#   IT REQUIRES EXPLICIT HUMAN REQUEST AND SUPERVISION.                        #
#                                                                              #
#   These tests make REAL API calls that:                                      #
#   - Cost real money (API usage fees)                                         #
#   - Require valid API keys for multiple providers                            #
#   - May have rate limits and quotas                                          #
#                                                                              #
#   To run: pytest tests/test_fire.py -v --run-fire                            #
#   Only run when explicitly requested by a human operator.                    #
#                                                                              #
################################################################################
"""
 
import os
import subprocess
import sys
 
import pytest
 
 
def pytest_configure(config):
    """Register custom markers."""
    config.addinivalue_line("markers", "fire: mark test as a fire test (real API calls)")
 
 
@pytest.fixture(autouse=True)
def skip_without_fire_flag(request):
    """Skip fire tests unless --run-fire is provided."""
    if not request.config.getoption("--run-fire", default=False):
        pytest.skip("Fire tests require --run-fire flag and cost real money")
 
 
SIMPLE_TASK = "Your job is to run `ls`, verify that you see files, then quit."
 
requires_openai = pytest.mark.skipif(not os.environ.get("OPENAI_API_KEY"), reason="OPENAI_API_KEY not set")
requires_openrouter = pytest.mark.skipif(not os.environ.get("OPENROUTER_API_KEY"), reason="OPENROUTER_API_KEY not set")
requires_portkey = pytest.mark.skipif(not os.environ.get("PORTKEY_API_KEY"), reason="PORTKEY_API_KEY not set")
requires_requesty = pytest.mark.skipif(not os.environ.get("REQUESTY_API_KEY"), reason="REQUESTY_API_KEY not set")
 
 
def run_mini_command(extra_options: list[str]) -> subprocess.CompletedProcess:
    """Run the mini command with the given extra options."""
    cmd = [
        sys.executable,
        "-m",
        "minisweagent",
        "--exit-immediately",
        "-y",
        "--cost-limit",
        "0.03",
        "-t",
        SIMPLE_TASK,
        *extra_options,
    ]
    env = os.environ.copy()
    env["MSWEA_MODEL_RETRY_STOP_AFTER_ATTEMPT"] = "8"
    return subprocess.run(cmd, timeout=120, env=env)
 
 
# =============================================================================
# LiteLLM Models (default, toolcall, response_toolcall)
# =============================================================================
 
 
@requires_openai
def test_litellm_textbased():
    """Test with litellm_textbased model class."""
    result = run_mini_command(
        ["--model", "openai/gpt-5-mini", "--model-class", "litellm_textbased", "-c", "mini_textbased"]
    )
    assert result.returncode == 0
 
 
@requires_openai
def test_litellm_toolcall():
    """Test with litellm_toolcall model class."""
    result = run_mini_command(["--model", "openai/gpt-5.2"])
    assert result.returncode == 0
 
 
@requires_openai
def test_litellm_toolcall_explicit():
    """Test with litellm_toolcall model class."""
    result = run_mini_command(["--model", "openai/gpt-5.2", "--model-class", "litellm", "-c", "mini"])
    assert result.returncode == 0
 
 
@requires_openai
def test_litellm_response_toolcall():
    """Test with litellm_response_toolcall model class (OpenAI Responses API)."""
    result = run_mini_command(["--model", "openai/gpt-5.2", "--model-class", "litellm_response"])
    assert result.returncode == 0
 
 
# =============================================================================
# OpenRouter Models
# =============================================================================
 
 
@requires_openrouter
def test_openrouter_textbased():
    """Test with openrouter_textbased model class."""
    result = run_mini_command(
        ["--model", "anthropic/claude-sonnet-4", "--model-class", "openrouter_textbased", "-c", "mini_textbased"]
    )
    assert result.returncode == 0
 
 
@requires_openrouter
def test_openrouter_toolcall():
    """Test with openrouter_toolcall model class."""
    result = run_mini_command(["--model", "anthropic/claude-sonnet-4", "--model-class", "openrouter"])
    assert result.returncode == 0
 
 
@requires_openrouter
def test_openrouter_response_toolcall():
    """Test with openrouter_response_toolcall model class (OpenAI Responses API via OpenRouter)."""
    result = run_mini_command(["--model", "openai/gpt-5.2", "--model-class", "openrouter_response"])
    assert result.returncode == 0
 
 
# =============================================================================
# Portkey Models
# =============================================================================
 
 
@requires_portkey
def test_portkey_default():
    """Test with default portkey model class."""
    result = run_mini_command(["--model", "@openai/gpt-5-mini", "--model-class", "portkey"])
    assert result.returncode == 0
 
 
@requires_portkey
def test_portkey_response():
    """Test with portkey_response model class (OpenAI Responses API via Portkey)."""
    result = run_mini_command(["--model", "@openai/gpt-5.2", "--model-class", "portkey_response"])
    assert result.returncode == 0
 
 
# =============================================================================
# Requesty Models
# =============================================================================
 
 
@requires_requesty
def test_requesty():
    """Test with requesty model class."""
    result = run_mini_command(["--model", "openai/gpt-5-mini", "--model-class", "requesty"])
    assert result.returncode == 0
 

160 lines

1	`#!/usr/bin/env python3`
2	`"""Fire tests: Real API integration tests that cost money.`
3
4	`################################################################################`
5	`# #`
6	`# ⚠️ CRITICAL WARNING ⚠️ #`
7	`# #`
8	`# THIS TEST FILE SHOULD NEVER BE RUN BY AN AI AGENT. #`
9	`# IT REQUIRES EXPLICIT HUMAN REQUEST AND SUPERVISION. #`
10	`# #`
11	`# These tests make REAL API calls that: #`
12	`# - Cost real money (API usage fees) #`
13	`# - Require valid API keys for multiple providers #`
14	`# - May have rate limits and quotas #`
15	`# #`
16	`# To run: pytest tests/test_fire.py -v --run-fire #`
17	`# Only run when explicitly requested by a human operator. #`
18	`# #`
19	`################################################################################`
20	`"""`
21
22	`import os`
23	`import subprocess`
24	`import sys`
25
26	`import pytest`
27
28
29	`def pytest_configure(config):`
30	`"""Register custom markers."""`
31	`config.addinivalue_line("markers", "fire: mark test as a fire test (real API calls)")`
32
33
34	`@pytest.fixture(autouse=True)`
35	`def skip_without_fire_flag(request):`
36	`"""Skip fire tests unless --run-fire is provided."""`
37	`if not request.config.getoption("--run-fire", default=False):`
38	`pytest.skip("Fire tests require --run-fire flag and cost real money")`
39
40
41	SIMPLE_TASK = "Your job is to run `ls`, verify that you see files, then quit."
42
43	`requires_openai = pytest.mark.skipif(not os.environ.get("OPENAI_API_KEY"), reason="OPENAI_API_KEY not set")`
44	`requires_openrouter = pytest.mark.skipif(not os.environ.get("OPENROUTER_API_KEY"), reason="OPENROUTER_API_KEY not set")`
45	`requires_portkey = pytest.mark.skipif(not os.environ.get("PORTKEY_API_KEY"), reason="PORTKEY_API_KEY not set")`
46	`requires_requesty = pytest.mark.skipif(not os.environ.get("REQUESTY_API_KEY"), reason="REQUESTY_API_KEY not set")`
47
48
49	`def run_mini_command(extra_options: list[str]) -> subprocess.CompletedProcess:`
50	`"""Run the mini command with the given extra options."""`
51	`cmd = [`
52	`sys.executable,`
53	`"-m",`
54	`"minisweagent",`
55	`"--exit-immediately",`
56	`"-y",`
57	`"--cost-limit",`
58	`"0.03",`
59	`"-t",`
60	`SIMPLE_TASK,`
61	`*extra_options,`
62	`]`
63	`env = os.environ.copy()`
64	`env["MSWEA_MODEL_RETRY_STOP_AFTER_ATTEMPT"] = "8"`
65	`return subprocess.run(cmd, timeout=120, env=env)`
66
67
68	`# =============================================================================`
69	`# LiteLLM Models (default, toolcall, response_toolcall)`
70	`# =============================================================================`
71
72
73	`@requires_openai`
74	`def test_litellm_textbased():`
75	`"""Test with litellm_textbased model class."""`
76	`result = run_mini_command(`
77	`["--model", "openai/gpt-5-mini", "--model-class", "litellm_textbased", "-c", "mini_textbased"]`
78	`)`
79	`assert result.returncode == 0`
80
81
82	`@requires_openai`
83	`def test_litellm_toolcall():`
84	`"""Test with litellm_toolcall model class."""`
85	`result = run_mini_command(["--model", "openai/gpt-5.2"])`
86	`assert result.returncode == 0`
87
88
89	`@requires_openai`
90	`def test_litellm_toolcall_explicit():`
91	`"""Test with litellm_toolcall model class."""`
92	`result = run_mini_command(["--model", "openai/gpt-5.2", "--model-class", "litellm", "-c", "mini"])`
93	`assert result.returncode == 0`
94
95
96	`@requires_openai`
97	`def test_litellm_response_toolcall():`
98	`"""Test with litellm_response_toolcall model class (OpenAI Responses API)."""`
99	`result = run_mini_command(["--model", "openai/gpt-5.2", "--model-class", "litellm_response"])`
100	`assert result.returncode == 0`
101
102
103	`# =============================================================================`
104	`# OpenRouter Models`
105	`# =============================================================================`
106
107
108	`@requires_openrouter`
109	`def test_openrouter_textbased():`
110	`"""Test with openrouter_textbased model class."""`
111	`result = run_mini_command(`
112	`["--model", "anthropic/claude-sonnet-4", "--model-class", "openrouter_textbased", "-c", "mini_textbased"]`
113	`)`
114	`assert result.returncode == 0`
115
116
117	`@requires_openrouter`
118	`def test_openrouter_toolcall():`
119	`"""Test with openrouter_toolcall model class."""`
120	`result = run_mini_command(["--model", "anthropic/claude-sonnet-4", "--model-class", "openrouter"])`
121	`assert result.returncode == 0`
122
123
124	`@requires_openrouter`
125	`def test_openrouter_response_toolcall():`
126	`"""Test with openrouter_response_toolcall model class (OpenAI Responses API via OpenRouter)."""`
127	`result = run_mini_command(["--model", "openai/gpt-5.2", "--model-class", "openrouter_response"])`
128	`assert result.returncode == 0`
129
130
131	`# =============================================================================`
132	`# Portkey Models`
133	`# =============================================================================`
134
135
136	`@requires_portkey`
137	`def test_portkey_default():`
138	`"""Test with default portkey model class."""`
139	`result = run_mini_command(["--model", "@openai/gpt-5-mini", "--model-class", "portkey"])`
140	`assert result.returncode == 0`
141
142
143	`@requires_portkey`
144	`def test_portkey_response():`
145	`"""Test with portkey_response model class (OpenAI Responses API via Portkey)."""`
146	`result = run_mini_command(["--model", "@openai/gpt-5.2", "--model-class", "portkey_response"])`
147	`assert result.returncode == 0`
148
149
150	`# =============================================================================`
151	`# Requesty Models`
152	`# =============================================================================`
153
154
155	`@requires_requesty`
156	`def test_requesty():`
157	`"""Test with requesty model class."""`
158	`result = run_mini_command(["--model", "openai/gpt-5-mini", "--model-class", "requesty"])`
159	`assert result.returncode == 0`
160