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Access 50+ LLM models through a unified OpenAI-compatible API via AceDataCloud.
Passed 21 of 23 test cases with the skill, and 10 of 23 without it.
and 7 more in the full report
11 fixed10 passed either way2 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.
I want to send a chat completion request to AceDataCloud using Anthropic's Claude Sonnet 4 (May 2025 release). What specific model string should be passed in the model field of the request payload?
| Checked | Without skill | With skill |
|---|---|---|
| Specifies claude-sonnet-4-20250514 as the model identifier. | Missed | Passed |
The instructions your model reads when the skill loads.
Access 50+ language models through a single OpenAI-compatible endpoint via AceDataCloud.
export ACEDATACLOUD_API_TOKEN="your-token-here"
curl -X POST https://api.acedata.cloud/v1/chat/completions \
-H "Authorization: Bearer $ACEDATACLOUD_API_TOKEN" \
-H "Content-Type: application/json" \
-d '{"model": "claude-sonnet-4-20250514", "messages": [{"role": "user", "content": "Hello!"}]}'
from openai import OpenAI
client = OpenAI(
api_key="your-token-here",
base_url="https://api.acedata.cloud/v1"
)
response = client.chat.completions.create(
model="gpt-4.1",
messages=[{"role": "user", "content": "Explain quantum computing"}]
)
print(response.choices[0].message.content)
test cases passed, vs 10 / 23 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.