
Alicloud Ai Audio Tts Realtime Test
- 293 installs
- 396 repo stars
- Updated July 18, 2026
- cinience/alicloud-skills
alicloud-ai-audio-tts-realtime-test is an agent skill that tests Alibaba Cloud real-time TTS streaming for developers who need sub-second voice latency and stable playback in conversational agents.
About
alicloud-ai-audio-tts-realtime-test is a Testing & QA skill in cinience/alicloud-skills for validating Alibaba Cloud real-time text-to-speech before voice agents go live. The workflow exercises streaming TTS endpoints to verify sub-second latency, continuous audio output, reconnect behavior after dropped connections, and playback stability under load. Developers reach for this skill when a conversational agent depends on live speech synthesis and flaky streams would break user trust in production. Tests assume Alibaba Cloud credentials and an existing TTS integration rather than greenfield SDK setup. Catalog data shows 293 installs. Use it after wiring realtime TTS and before approving a voice-agent release candidate.
- Realtime stream QA
- Latency and jitter checks
- Chunked audio validation
- Session reconnect tests
- Agent playback stability
Alicloud Ai Audio Tts Realtime Test by the numbers
- 293 all-time installs (skills.sh)
- Ranked #712 of 2,153 Testing & QA skills by installs in the Skillselion catalog
- Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/cinience/alicloud-skills --skill alicloud-ai-audio-tts-realtime-testAdd your badge
Show developers this skill is listed on Skillselion. Paste this into your README.
| Installs | 293 |
|---|---|
| repo stars | ★ 396 |
| Last updated | July 18, 2026 |
| Repository | cinience/alicloud-skills ↗ |
How do you test Alibaba Cloud realtime TTS latency?
Test real-time Alibaba Cloud TTS streaming for conversational agents, verifying sub-second latency, audio continuity, reconnect logic, and playback stability under load.
Who is it for?
Backend developers shipping voice agents on Alibaba Cloud who must validate realtime TTS before production traffic.
Skip if: Teams not using Alibaba Cloud TTS or developers still choosing a speech provider without an integration to test.
When should I use this skill?
User needs to test realtime TTS streaming, verify sub-second voice latency, or validate reconnect and playback under load on Alibaba Cloud.
What you get
TTS latency measurements, reconnect test results, and playback stability report for realtime streaming endpoints.
- Latency benchmark results
- Reconnect and load stability test report
By the numbers
- 293 catalog installs in Skillselion
- Tests 4 realtime TTS dimensions: latency, continuity, reconnect, and load stability
Files
Category: service
Cloud Backup
Use Alibaba Cloud OpenAPI (RPC) with official SDKs or OpenAPI Explorer to manage resources for Cloud Backup.
Workflow
1) Confirm region, resource identifiers, and desired action. 2) Discover API list and required parameters (see references). 3) Call API with SDK or OpenAPI Explorer. 4) Verify results with describe/list APIs.
AccessKey priority (must follow)
1) Environment variables: ALIBABACLOUD_ACCESS_KEY_ID / ALIBABACLOUD_ACCESS_KEY_SECRET / ALIBABACLOUD_REGION_ID Region policy: ALIBABACLOUD_REGION_ID is an optional default. If unset, decide the most reasonable region for the task; if unclear, ask the user. 2) Shared config file: ~/.alibabacloud/credentials
API discovery
- Product code:
hbr - Default API version:
2017-09-08 - Use OpenAPI metadata endpoints to list APIs and get schemas (see references).
High-frequency operation patterns
1) Inventory/list: prefer List* / Describe* APIs to get current resources. 2) Change/configure: prefer Create* / Update* / Modify* / Set* APIs for mutations. 3) Status/troubleshoot: prefer Get* / Query* / Describe*Status APIs for diagnosis.
Minimal executable quickstart
Use metadata-first discovery before calling business APIs:
python scripts/list_openapi_meta_apis.pyOptional overrides:
python scripts/list_openapi_meta_apis.py --product-code <ProductCode> --version <Version>The script writes API inventory artifacts under the skill output directory.
Output policy
If you need to save responses or generated artifacts, write them under: output/aliyun-hbr-backup/
Validation
mkdir -p output/aliyun-hbr-backup
for f in skills/backup/aliyun-hbr-backup/scripts/*.py; do
python3 -m py_compile "$f"
done
echo "py_compile_ok" > output/aliyun-hbr-backup/validate.txtPass criteria: command exits 0 and output/aliyun-hbr-backup/validate.txt is generated.
Output And Evidence
- Save artifacts, command outputs, and API response summaries under
output/aliyun-hbr-backup/. - Include key parameters (region/resource id/time range) in evidence files for reproducibility.
Prerequisites
- Configure least-privilege Alibaba Cloud credentials before execution.
- Prefer environment variables:
ALIBABACLOUD_ACCESS_KEY_ID,ALIBABACLOUD_ACCESS_KEY_SECRET, optionalALIBABACLOUD_REGION_ID. - If region is unclear, ask the user before running mutating operations.
References
- Sources:
references/sources.md
interface:
display_name: "Alibaba Cloud Backup HBR"
short_description: "Cloud Backup vault and job workflows"
default_prompt: "Use $aliyun-hbr-backup to complete this backup task on Alibaba Cloud."
Sources
- OpenAPI product page:
https://api.aliyun.com/product/hbr - API list (metadata):
https://api.aliyun.com/meta/v1/products/hbr/versions/2017-09-08/api-docs.json - API definition (single API):
https://api.aliyun.com/meta/v1/products/hbr/versions/2017-09-08/apis/{ApiName}/api.json
#!/usr/bin/env python3
"""Fetch OpenAPI metadata API list for one product/version and save to output/.
Env:
- OPENAPI_META_TIMEOUT (seconds, default: 20)
"""
from __future__ import annotations
import argparse
import json
import os
import pathlib
import urllib.request
DEFAULT_PRODUCT_CODE = "hbr"
DEFAULT_VERSION = "2017-09-08"
OUTPUT_DIR = pathlib.Path("output/aliyun-hbr-backup")
def fetch_json(url: str, timeout: int) -> dict:
req = urllib.request.Request(url, headers={"User-Agent": "codex-skill"})
with urllib.request.urlopen(req, timeout=timeout) as resp:
return json.loads(resp.read().decode("utf-8"))
def main() -> None:
parser = argparse.ArgumentParser()
parser.add_argument("--product-code", default=DEFAULT_PRODUCT_CODE)
parser.add_argument("--version", default=DEFAULT_VERSION)
parser.add_argument("--output-dir", default=str(OUTPUT_DIR))
args = parser.parse_args()
timeout = int(os.getenv("OPENAPI_META_TIMEOUT", "20"))
output_dir = pathlib.Path(args.output_dir)
output_dir.mkdir(parents=True, exist_ok=True)
url = (
f"https://api.aliyun.com/meta/v1/products/{args.product_code}"
f"/versions/{args.version}/api-docs.json"
)
payload = fetch_json(url, timeout)
raw_apis = payload.get("apis", {})
if isinstance(raw_apis, dict):
api_names = sorted(raw_apis.keys())
elif isinstance(raw_apis, list):
names = []
for item in raw_apis:
if isinstance(item, dict):
name = item.get("name") or item.get("apiName")
if name:
names.append(name)
elif isinstance(item, str):
names.append(item)
api_names = sorted(set(names))
else:
api_names = []
json_file = output_dir / f"{args.product_code}_{args.version}_api_docs.json"
md_file = output_dir / f"{args.product_code}_{args.version}_api_list.md"
json_file.write_text(json.dumps(payload, ensure_ascii=False, indent=2), encoding="utf-8")
md_lines = [
f"# {args.product_code} {args.version} API List",
"",
f"- Source: {url}",
f"- API count: {len(api_names)}",
"",
]
md_lines.extend([f"- `{name}`" for name in api_names])
md_file.write_text("\n".join(md_lines) + "\n", encoding="utf-8")
print(f"Saved: {json_file}")
print(f"Saved: {md_file}")
if __name__ == "__main__":
main()
Related skills
How it compares
Pick this skill over generic API test helpers when the target is Alibaba Cloud realtime TTS streaming behavior, not batch speech synthesis or non-Alibaba providers.
FAQ
What does alicloud-ai-audio-tts-realtime-test verify?
alicloud-ai-audio-tts-realtime-test verifies sub-second latency, audio continuity, reconnect logic, and playback stability under load for Alibaba Cloud real-time TTS streaming. The skill targets conversational agents where dropped or delayed audio would degrade production user ex
When should teams run alicloud-ai-audio-tts-realtime-test?
Teams should run alicloud-ai-audio-tts-realtime-test after integrating Alibaba Cloud streaming TTS and before approving a voice-agent release. The skill fits pre-ship QA when latency, reconnect behavior, and load stability must be proven on live endpoints.