The file is entirely about HTTP API endpoint testing (OpenAI-compatible /v1/chat/completions, Anthropic-compatible /v1/messages, API key auth, plus a CLI --help sanity check on the command that runs the API). None of its tests cover training, export, chat-UI, or internal-Python-API concerns. The old name misleadingly suggested "tests for the unsloth studio run CLI subcommand" — the new name reflects the actual scope. Updates: - git mv the file (rename tracked, history preserved) - Rewrite opening docstring to state the API surface focus and call out what is explicitly out of scope - Update all 4 Usage-block path references to the new filename - LOG_FILE renamed to test_studio_api.log - conftest.py fixture import rewritten from test_studio_run to test_studio_api, plus 7 docstring/comment references updated No functional changes to test logic, signatures, or main().
643 lines
22 KiB
Python
643 lines
22 KiB
Python
# SPDX-License-Identifier: AGPL-3.0-only
|
|
# Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. See /studio/LICENSE.AGPL-3.0
|
|
|
|
"""
|
|
End-to-end tests for Unsloth Studio's HTTP API surface.
|
|
|
|
Covers the OpenAI-compatible and Anthropic-compatible endpoints exposed
|
|
by the server that ``unsloth studio run`` boots, plus API key
|
|
authentication and the CLI's ``--help`` output:
|
|
|
|
1. curl -- basic chat completions (non-streaming)
|
|
2. curl -- streaming chat completions
|
|
3. Python OpenAI SDK -- streaming completions
|
|
4. curl -- with tools (web_search + python)
|
|
5. Anthropic Messages API -- basic non-streaming
|
|
6. Anthropic Messages API -- streaming SSE
|
|
7. Anthropic Python SDK -- non-streaming
|
|
8. Anthropic Messages API -- streaming with tools
|
|
|
|
Training, export, fine-tuning, and chat-UI concerns are out of scope —
|
|
see the unit suites elsewhere under ``studio/backend/tests/`` for those.
|
|
|
|
Usage:
|
|
|
|
# Script mode — launches its own server via ``unsloth studio run``.
|
|
python tests/test_studio_api.py
|
|
python tests/test_studio_api.py --model unsloth/... --gguf-variant ...
|
|
|
|
# Pytest mode, external server — start a Studio server yourself,
|
|
# then point pytest at it. Fastest iteration loop.
|
|
unsloth studio run --model unsloth/Qwen3-1.7B-GGUF --gguf-variant UD-Q4_K_XL &
|
|
export UNSLOTH_E2E_BASE_URL=http://127.0.0.1:8080
|
|
export UNSLOTH_E2E_API_KEY=sk-unsloth-... # from the server banner
|
|
pytest tests/test_studio_api.py -v
|
|
|
|
# Pytest mode, fixture-managed server — pytest launches and tears
|
|
# down the server itself. One-shot verification, CI-friendly.
|
|
pytest tests/test_studio_api.py -v \\
|
|
--unsloth-model unsloth/Qwen3-1.7B-GGUF \\
|
|
--unsloth-gguf-variant UD-Q4_K_XL
|
|
|
|
The ``base_url`` / ``api_key`` parameters on the test functions resolve
|
|
via the ``studio_server`` session fixture in ``conftest.py``.
|
|
|
|
Requires a GPU and ~2 GB of disk for the GGUF download.
|
|
"""
|
|
|
|
from __future__ import annotations
|
|
|
|
import argparse
|
|
import json
|
|
import os
|
|
import re
|
|
import signal
|
|
import subprocess
|
|
import sys
|
|
import time
|
|
import urllib.error
|
|
import urllib.request
|
|
from pathlib import Path
|
|
|
|
|
|
# ── Configuration ────────────────────────────────────────────────────
|
|
|
|
DEFAULT_MODEL = "unsloth/Qwen3-1.7B-GGUF"
|
|
DEFAULT_VARIANT = "UD-Q4_K_XL"
|
|
PORT = 18222 # high port unlikely to collide
|
|
HOST = "127.0.0.1"
|
|
STARTUP_TIMEOUT = 120 # seconds to wait for banner
|
|
LOG_FILE = (
|
|
Path(__file__).resolve().parent.parent.parent.parent
|
|
/ "temp"
|
|
/ "test_studio_api.log"
|
|
)
|
|
|
|
|
|
# ── Helpers ──────────────────────────────────────────────────────────
|
|
|
|
|
|
def _http(
|
|
method: str,
|
|
url: str,
|
|
*,
|
|
body: dict | None = None,
|
|
headers: dict | None = None,
|
|
timeout: int = 60,
|
|
) -> tuple[int, str]:
|
|
"""Minimal stdlib HTTP helper. Returns (status_code, body_text)."""
|
|
data = json.dumps(body).encode() if body else None
|
|
req = urllib.request.Request(url, data = data, headers = headers or {}, method = method)
|
|
if body:
|
|
req.add_header("Content-Type", "application/json")
|
|
try:
|
|
with urllib.request.urlopen(req, timeout = timeout) as resp:
|
|
return resp.status, resp.read().decode()
|
|
except urllib.error.HTTPError as exc:
|
|
return exc.code, exc.read().decode(errors = "replace")
|
|
|
|
|
|
def _stream_http(
|
|
url: str,
|
|
*,
|
|
body: dict,
|
|
headers: dict,
|
|
timeout: int = 60,
|
|
) -> tuple[int, list[dict]]:
|
|
"""POST a streaming request and collect SSE chunks."""
|
|
data = json.dumps(body).encode()
|
|
req = urllib.request.Request(url, data = data, headers = headers, method = "POST")
|
|
req.add_header("Content-Type", "application/json")
|
|
chunks: list[dict] = []
|
|
try:
|
|
with urllib.request.urlopen(req, timeout = timeout) as resp:
|
|
status = resp.status
|
|
for raw_line in resp:
|
|
line = raw_line.decode().strip()
|
|
if line.startswith("data: ") and line != "data: [DONE]":
|
|
try:
|
|
chunks.append(json.loads(line[6:]))
|
|
except json.JSONDecodeError:
|
|
pass
|
|
return status, chunks
|
|
except urllib.error.HTTPError as exc:
|
|
return exc.code, []
|
|
|
|
|
|
# ── Test functions ───────────────────────────────────────────────────
|
|
|
|
|
|
def test_help_output():
|
|
"""``unsloth studio run --help`` should show all documented options."""
|
|
result = subprocess.run(
|
|
["unsloth", "studio", "run", "--help"],
|
|
capture_output = True,
|
|
text = True,
|
|
timeout = 15,
|
|
)
|
|
out = result.stdout
|
|
assert result.returncode == 0, f"--help exited with {result.returncode}"
|
|
|
|
for flag in [
|
|
"--model",
|
|
"--gguf-variant",
|
|
"--max-seq-length",
|
|
"--load-in-4bit",
|
|
"--api-key-name",
|
|
"--port",
|
|
"--host",
|
|
"--frontend",
|
|
"--silent",
|
|
]:
|
|
assert flag in out, f"Missing flag {flag!r} in --help output"
|
|
print(" PASS --help shows all flags")
|
|
|
|
|
|
def test_curl_basic(base_url: str, api_key: str):
|
|
"""Example 1: basic non-streaming chat completion via HTTP."""
|
|
status, text = _http(
|
|
"POST",
|
|
f"{base_url}/v1/chat/completions",
|
|
body = {
|
|
"messages": [{"role": "user", "content": "Say just the word hello"}],
|
|
"stream": False,
|
|
},
|
|
headers = {"Authorization": f"Bearer {api_key}"},
|
|
)
|
|
assert status == 200, f"Expected 200, got {status}: {text[:300]}"
|
|
data = json.loads(text)
|
|
assert "choices" in data, f"Missing 'choices' in response: {text[:300]}"
|
|
content = data["choices"][0]["message"]["content"]
|
|
assert len(content) > 0, "Empty assistant content"
|
|
print(f" PASS curl basic: {content[:80]!r}")
|
|
|
|
|
|
def _collect_streamed_content(chunks: list[dict]) -> str:
|
|
"""Extract text from SSE chunks, skipping role-only and usage chunks."""
|
|
parts = []
|
|
for c in chunks:
|
|
choices = c.get("choices", [])
|
|
if not choices:
|
|
continue
|
|
delta = choices[0].get("delta", {})
|
|
part = delta.get("content")
|
|
if part:
|
|
parts.append(part)
|
|
return "".join(parts)
|
|
|
|
|
|
def test_curl_streaming(base_url: str, api_key: str):
|
|
"""Example 2: streaming chat completion via HTTP SSE."""
|
|
status, chunks = _stream_http(
|
|
f"{base_url}/v1/chat/completions",
|
|
body = {
|
|
"messages": [{"role": "user", "content": "Count from 1 to 3"}],
|
|
"stream": True,
|
|
},
|
|
headers = {"Authorization": f"Bearer {api_key}"},
|
|
)
|
|
assert status == 200, f"Expected 200, got {status}"
|
|
assert len(chunks) > 0, "No SSE chunks received"
|
|
full = _collect_streamed_content(chunks)
|
|
assert len(full) > 0, "Streamed content is empty"
|
|
print(f" PASS curl streaming: got {len(chunks)} chunks, {len(full)} chars")
|
|
|
|
|
|
def test_openai_sdk(base_url: str, api_key: str):
|
|
"""Example 3: OpenAI Python SDK streaming completion."""
|
|
try:
|
|
from openai import OpenAI
|
|
except ImportError:
|
|
print(" SKIP openai SDK not installed")
|
|
return
|
|
|
|
client = OpenAI(base_url = f"{base_url}/v1", api_key = api_key)
|
|
response = client.chat.completions.create(
|
|
model = "current",
|
|
messages = [
|
|
{"role": "user", "content": "What is 2+2? Answer with just the number."}
|
|
],
|
|
stream = True,
|
|
)
|
|
content_parts = []
|
|
for chunk in response:
|
|
if not chunk.choices:
|
|
continue
|
|
delta_content = chunk.choices[0].delta.content
|
|
if delta_content:
|
|
content_parts.append(delta_content)
|
|
full = "".join(content_parts)
|
|
assert len(full) > 0, "OpenAI SDK returned empty content"
|
|
print(f" PASS OpenAI SDK streaming: {full.strip()[:80]!r}")
|
|
|
|
|
|
def test_curl_with_tools(base_url: str, api_key: str):
|
|
"""Example 4: chat completion with tool calling enabled.
|
|
|
|
Note: when ``enable_tools`` is set the server always returns SSE
|
|
streaming regardless of the ``stream`` flag, so we parse SSE chunks.
|
|
The model may or may not produce visible content -- tool orchestration
|
|
can intercept the response -- so we only assert the endpoint succeeds.
|
|
"""
|
|
status, chunks = _stream_http(
|
|
f"{base_url}/v1/chat/completions",
|
|
body = {
|
|
"messages": [
|
|
{
|
|
"role": "user",
|
|
"content": "What is 123 * 456? Use code to compute it.",
|
|
}
|
|
],
|
|
"stream": True,
|
|
"enable_tools": True,
|
|
"enabled_tools": ["python"],
|
|
"session_id": "test-session",
|
|
},
|
|
headers = {"Authorization": f"Bearer {api_key}"},
|
|
timeout = 120,
|
|
)
|
|
assert status == 200, f"Expected 200, got {status}"
|
|
assert len(chunks) > 0, "No SSE chunks received for tools request"
|
|
|
|
# Check that at least one chunk has the expected shape
|
|
has_valid_chunk = any("choices" in c or "type" in c for c in chunks)
|
|
assert has_valid_chunk, "No valid chunks in tools response"
|
|
full = _collect_streamed_content(chunks)
|
|
print(f" PASS curl with tools: {len(chunks)} chunks, {len(full)} chars content")
|
|
|
|
|
|
def test_invalid_key_rejected(base_url: str):
|
|
"""Requests with a bad API key should be rejected."""
|
|
status, _text = _http(
|
|
"POST",
|
|
f"{base_url}/v1/chat/completions",
|
|
body = {
|
|
"messages": [{"role": "user", "content": "Hello"}],
|
|
"stream": False,
|
|
},
|
|
headers = {"Authorization": "Bearer sk-unsloth-boguskey123"},
|
|
)
|
|
assert status == 401, f"Expected 401 for invalid key, got {status}"
|
|
print(" PASS invalid API key rejected (401)")
|
|
|
|
|
|
def test_no_key_rejected(base_url: str):
|
|
"""Requests without any auth header should be rejected."""
|
|
status, _text = _http(
|
|
"POST",
|
|
f"{base_url}/v1/chat/completions",
|
|
body = {
|
|
"messages": [{"role": "user", "content": "Hello"}],
|
|
"stream": False,
|
|
},
|
|
)
|
|
assert status == 401 or status == 403, f"Expected 401/403 for no key, got {status}"
|
|
print(f" PASS no API key rejected ({status})")
|
|
|
|
|
|
# ── Anthropic SSE helper ─────────────────────────────────────────────
|
|
|
|
|
|
def _stream_anthropic_http(
|
|
url: str,
|
|
*,
|
|
body: dict,
|
|
headers: dict,
|
|
timeout: int = 60,
|
|
) -> tuple[int, list[tuple[str, dict]]]:
|
|
"""POST a streaming request and collect Anthropic SSE events.
|
|
|
|
Returns (status, [(event_type, data_dict), ...]).
|
|
"""
|
|
data = json.dumps(body).encode()
|
|
req = urllib.request.Request(url, data = data, headers = headers, method = "POST")
|
|
req.add_header("Content-Type", "application/json")
|
|
events: list[tuple[str, dict]] = []
|
|
try:
|
|
with urllib.request.urlopen(req, timeout = timeout) as resp:
|
|
status = resp.status
|
|
current_event = None
|
|
for raw_line in resp:
|
|
line = raw_line.decode().strip()
|
|
if line.startswith("event: "):
|
|
current_event = line[7:]
|
|
elif line.startswith("data: ") and current_event:
|
|
try:
|
|
events.append((current_event, json.loads(line[6:])))
|
|
except json.JSONDecodeError:
|
|
pass
|
|
current_event = None
|
|
return status, events
|
|
except urllib.error.HTTPError as exc:
|
|
return exc.code, []
|
|
|
|
|
|
def _collect_anthropic_text(events: list[tuple[str, dict]]) -> str:
|
|
"""Extract text content from Anthropic SSE events."""
|
|
parts = []
|
|
for etype, data in events:
|
|
if etype == "content_block_delta":
|
|
delta = data.get("delta", {})
|
|
if delta.get("type") == "text_delta":
|
|
parts.append(delta.get("text", ""))
|
|
return "".join(parts)
|
|
|
|
|
|
# ── Anthropic /v1/messages test functions ────────────────────────────
|
|
|
|
|
|
def test_anthropic_basic(base_url: str, api_key: str):
|
|
"""Anthropic Messages API: non-streaming."""
|
|
status, text = _http(
|
|
"POST",
|
|
f"{base_url}/v1/messages",
|
|
body = {
|
|
"model": "default",
|
|
"max_tokens": 100,
|
|
"messages": [{"role": "user", "content": "Say just the word hello"}],
|
|
},
|
|
headers = {"Authorization": f"Bearer {api_key}"},
|
|
)
|
|
assert status == 200, f"Expected 200, got {status}: {text[:300]}"
|
|
data = json.loads(text)
|
|
assert data.get("type") == "message", f"Expected type 'message': {text[:300]}"
|
|
assert data.get("role") == "assistant"
|
|
content = data.get("content", [])
|
|
assert len(content) > 0, "Empty content array"
|
|
text_block = content[-1]
|
|
assert text_block.get("type") == "text", f"Expected text block: {text_block}"
|
|
assert len(text_block.get("text", "")) > 0, "Empty text in response"
|
|
print(f" PASS anthropic basic: {text_block['text'][:80]!r}")
|
|
|
|
|
|
def test_anthropic_streaming(base_url: str, api_key: str):
|
|
"""Anthropic Messages API: streaming SSE."""
|
|
status, events = _stream_anthropic_http(
|
|
f"{base_url}/v1/messages",
|
|
body = {
|
|
"model": "default",
|
|
"max_tokens": 100,
|
|
"messages": [{"role": "user", "content": "Count from 1 to 3"}],
|
|
"stream": True,
|
|
},
|
|
headers = {"Authorization": f"Bearer {api_key}"},
|
|
)
|
|
assert status == 200, f"Expected 200, got {status}"
|
|
assert len(events) > 0, "No SSE events received"
|
|
|
|
event_types = [e[0] for e in events]
|
|
assert "message_start" in event_types, "Missing message_start event"
|
|
assert "message_stop" in event_types, "Missing message_stop event"
|
|
|
|
full = _collect_anthropic_text(events)
|
|
assert len(full) > 0, "Streamed text content is empty"
|
|
print(f" PASS anthropic streaming: {len(events)} events, {len(full)} chars")
|
|
|
|
|
|
def test_anthropic_sdk(base_url: str, api_key: str):
|
|
"""Anthropic Python SDK: non-streaming."""
|
|
try:
|
|
from anthropic import Anthropic
|
|
except ImportError:
|
|
print(" SKIP anthropic SDK not installed")
|
|
return
|
|
|
|
client = Anthropic(base_url = f"{base_url}/v1", api_key = api_key)
|
|
message = client.messages.create(
|
|
model = "default",
|
|
max_tokens = 100,
|
|
messages = [
|
|
{"role": "user", "content": "What is 2+2? Answer with just the number."}
|
|
],
|
|
)
|
|
assert message.role == "assistant"
|
|
assert len(message.content) > 0, "Empty content"
|
|
text = message.content[0].text
|
|
assert len(text) > 0, "Empty text"
|
|
print(f" PASS Anthropic SDK: {text.strip()[:80]!r}")
|
|
|
|
|
|
def test_anthropic_with_tools(base_url: str, api_key: str):
|
|
"""Anthropic Messages API: streaming with tools."""
|
|
status, events = _stream_anthropic_http(
|
|
f"{base_url}/v1/messages",
|
|
body = {
|
|
"model": "default",
|
|
"max_tokens": 1024,
|
|
"messages": [
|
|
{
|
|
"role": "user",
|
|
"content": "What is 123 * 456? Use code to compute it.",
|
|
}
|
|
],
|
|
"tools": [
|
|
{
|
|
"name": "python",
|
|
"description": "Execute Python code in a sandbox and return stdout/stderr.",
|
|
"input_schema": {
|
|
"type": "object",
|
|
"properties": {
|
|
"code": {
|
|
"type": "string",
|
|
"description": "The Python code to run",
|
|
},
|
|
},
|
|
"required": ["code"],
|
|
},
|
|
}
|
|
],
|
|
"stream": True,
|
|
},
|
|
headers = {"Authorization": f"Bearer {api_key}"},
|
|
timeout = 120,
|
|
)
|
|
assert status == 200, f"Expected 200, got {status}"
|
|
assert len(events) > 0, "No SSE events received for tools request"
|
|
|
|
event_types = [e[0] for e in events]
|
|
assert "message_start" in event_types, "Missing message_start"
|
|
assert "message_stop" in event_types, "Missing message_stop"
|
|
|
|
full = _collect_anthropic_text(events)
|
|
print(
|
|
f" PASS anthropic with tools: {len(events)} events, {len(full)} chars content"
|
|
)
|
|
|
|
|
|
# ── Server lifecycle ─────────────────────────────────────────────────
|
|
|
|
|
|
def _start_server(model: str, variant: str | None) -> tuple[subprocess.Popen, str]:
|
|
"""Launch ``unsloth studio run`` and parse the API key from its banner.
|
|
|
|
Returns (process, api_key).
|
|
"""
|
|
cmd = [
|
|
"unsloth",
|
|
"studio",
|
|
"run",
|
|
"--model",
|
|
model,
|
|
"--port",
|
|
str(PORT),
|
|
"--host",
|
|
HOST,
|
|
"--api-key-name",
|
|
"test",
|
|
]
|
|
if variant:
|
|
cmd.extend(["--gguf-variant", variant])
|
|
|
|
LOG_FILE.parent.mkdir(parents = True, exist_ok = True)
|
|
log_fh = open(LOG_FILE, "w")
|
|
proc = subprocess.Popen(
|
|
cmd,
|
|
stdout = log_fh,
|
|
stderr = subprocess.STDOUT,
|
|
preexec_fn = os.setsid,
|
|
)
|
|
|
|
# Wait for the banner containing the API key
|
|
api_key = None
|
|
deadline = time.monotonic() + STARTUP_TIMEOUT
|
|
while time.monotonic() < deadline:
|
|
time.sleep(2)
|
|
if proc.poll() is not None:
|
|
log_fh.flush()
|
|
log_text = LOG_FILE.read_text()
|
|
raise RuntimeError(
|
|
f"Server exited early (code {proc.returncode}):\n{log_text[-2000:]}"
|
|
)
|
|
log_text = LOG_FILE.read_text()
|
|
m = re.search(r"API Key:\s+(sk-unsloth-[a-f0-9]+)", log_text)
|
|
if m:
|
|
api_key = m.group(1)
|
|
break
|
|
|
|
if not api_key:
|
|
log_text = LOG_FILE.read_text()
|
|
_kill_server(proc)
|
|
raise RuntimeError(
|
|
f"Timed out waiting for API key in server output:\n{log_text[-2000:]}"
|
|
)
|
|
|
|
# Wait a moment for the model to be fully loaded
|
|
time.sleep(2)
|
|
return proc, api_key
|
|
|
|
|
|
def _kill_server(proc: subprocess.Popen):
|
|
"""Send SIGTERM to the process group and wait for cleanup."""
|
|
try:
|
|
os.killpg(os.getpgid(proc.pid), signal.SIGTERM)
|
|
except (ProcessLookupError, PermissionError):
|
|
pass
|
|
try:
|
|
proc.wait(timeout = 10)
|
|
except subprocess.TimeoutExpired:
|
|
try:
|
|
os.killpg(os.getpgid(proc.pid), signal.SIGKILL)
|
|
except (ProcessLookupError, PermissionError):
|
|
pass
|
|
proc.wait(timeout = 5)
|
|
|
|
|
|
# ── Main ─────────────────────────────────────────────────────────────
|
|
|
|
|
|
def main():
|
|
parser = argparse.ArgumentParser(
|
|
description = "End-to-end tests for unsloth studio run"
|
|
)
|
|
parser.add_argument(
|
|
"--model",
|
|
default = DEFAULT_MODEL,
|
|
help = f"Model to test with (default: {DEFAULT_MODEL})",
|
|
)
|
|
parser.add_argument(
|
|
"--gguf-variant",
|
|
default = DEFAULT_VARIANT,
|
|
help = f"GGUF variant (default: {DEFAULT_VARIANT})",
|
|
)
|
|
args = parser.parse_args()
|
|
|
|
passed = 0
|
|
failed = 0
|
|
skipped = 0
|
|
|
|
def run_test(fn, *a, **kw):
|
|
nonlocal passed, failed, skipped
|
|
try:
|
|
fn(*a, **kw)
|
|
passed += 1
|
|
except AssertionError as exc:
|
|
failed += 1
|
|
print(f" FAIL {fn.__name__}: {exc}")
|
|
except Exception as exc:
|
|
failed += 1
|
|
print(f" ERROR {fn.__name__}: {type(exc).__name__}: {exc}")
|
|
|
|
# ── 1. Test --help (no server needed) ────────────────────────────
|
|
print("\n[1/11] Testing --help output")
|
|
run_test(test_help_output)
|
|
|
|
# ── 2-11. Start server and run API tests ─────────────────────────
|
|
print(
|
|
f"\nStarting server: {args.model} (variant={args.gguf_variant}) on port {PORT}..."
|
|
)
|
|
proc = None
|
|
try:
|
|
proc, api_key = _start_server(args.model, args.gguf_variant)
|
|
base_url = f"http://{HOST}:{PORT}"
|
|
print(f"Server ready. API Key: {api_key[:20]}...\n")
|
|
|
|
print("[2/11] Testing curl basic (non-streaming)")
|
|
run_test(test_curl_basic, base_url, api_key)
|
|
|
|
print("[3/11] Testing curl streaming")
|
|
run_test(test_curl_streaming, base_url, api_key)
|
|
|
|
print("[4/11] Testing OpenAI Python SDK (streaming)")
|
|
run_test(test_openai_sdk, base_url, api_key)
|
|
|
|
print("[5/11] Testing curl with tools")
|
|
run_test(test_curl_with_tools, base_url, api_key)
|
|
|
|
print("[6/11] Testing invalid API key rejection")
|
|
run_test(test_invalid_key_rejected, base_url)
|
|
|
|
print("[7/11] Testing no API key rejection")
|
|
run_test(test_no_key_rejected, base_url)
|
|
|
|
print("[8/11] Testing Anthropic basic (non-streaming)")
|
|
run_test(test_anthropic_basic, base_url, api_key)
|
|
|
|
print("[9/11] Testing Anthropic streaming")
|
|
run_test(test_anthropic_streaming, base_url, api_key)
|
|
|
|
print("[10/11] Testing Anthropic Python SDK")
|
|
run_test(test_anthropic_sdk, base_url, api_key)
|
|
|
|
print("[11/11] Testing Anthropic with tools")
|
|
run_test(test_anthropic_with_tools, base_url, api_key)
|
|
|
|
except RuntimeError as exc:
|
|
print(f"\nFATAL: Server failed to start: {exc}")
|
|
failed += 11 # count remaining tests as failed
|
|
finally:
|
|
if proc:
|
|
print("\nStopping server...")
|
|
_kill_server(proc)
|
|
print("Server stopped.")
|
|
|
|
# ── Summary ──────────────────────────────────────────────────────
|
|
total = passed + failed
|
|
print(f"\n{'=' * 40}")
|
|
print(f"Results: {passed}/{total} passed, {failed} failed")
|
|
print(f"Log: {LOG_FILE}")
|
|
print(f"{'=' * 40}")
|
|
sys.exit(1 if failed else 0)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
main()
|