feat(openrouter/aion-labs/aion-3.0-mini): add new models [bot]#1709
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Reviewed by Cursor Bugbot for commit 69bfc93. Configure here.
| - tool_choice | ||
| limits: | ||
| context_window: 131072 | ||
| max_output_tokens: 32768 |
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Missing limits max_tokens field
Medium Severity
The new entry sets limits.max_output_tokens to 32768 but omits limits.max_tokens, unlike every other OpenRouter model with the same output cap. With openrouter/default.yaml still bounding the max_tokens request param at 4096, consumers that rely on limits.max_tokens can treat this model as capped far below its advertised 32K output.
Reviewed by Cursor Bugbot for commit 69bfc93. Configure here.
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/test-models |
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Gateway test results
Failures (3)
ErrorCode snippetfrom openai import OpenAI
client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")
tools = [
{
"type": "function",
"function": {
"name": "get_weather",
"description": "Get the current weather for a location.",
"parameters": {
"type": "object",
"properties": {
"location": {
"type": "string",
"description": "The city name, e.g. London",
},
},
"required": ["location"],
"additionalProperties": False,
},
"strict": True,
},
},
]
response = client.chat.completions.create(
model="test-v2-openrouter/aion-labs-aion-3.0-mini",
messages=[
{"role": "user", "content": "Use the get_weather tool to check the weather in London. You must call the tool, do not respond with plain text."},
],
tools=tools,
tool_choice="auto",
stream=False,
)
_message = response.choices[0].message
if _message.tool_calls:
for _tc in _message.tool_calls:
print(f"Function: {_tc.function.name}")
print(f"Arguments: {_tc.function.arguments}")
else:
print(_message.content)
if not _message.tool_calls or len(_message.tool_calls) == 0:
raise Exception("VALIDATION FAILED: tool-call - no tool calls in response")
print("VALIDATION: tool-call SUCCESS")
ErrorCode snippetfrom openai import OpenAI
client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")
response = client.chat.completions.create(
model="test-v2-openrouter/aion-labs-aion-3.0-mini",
messages=[
{"role": "user", "content": "List 3 colors with their hex codes in JSON."},
],
response_format={"type": "json_object"},
stream=False,
)
import json as _json
_content = response.choices[0].message.content
print(_content)
if not _content:
raise Exception("VALIDATION FAILED: json-output - response content is empty")
_json.loads(_content)
print("VALIDATION: json-output SUCCESS")
ErrorCode snippetfrom openai import OpenAI
client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")
response = client.chat.completions.create(
model="test-v2-openrouter/aion-labs-aion-3.0-mini",
messages=[
{"role": "user", "content": "List 3 colors with their hex codes in JSON."},
],
response_format={"type": "json_object"},
stream=True,
)
import json as _json
_accumulated = ""
for chunk in response:
if chunk.choices and len(chunk.choices) > 0:
delta = chunk.choices[0].delta
if delta.content is not None:
_accumulated += delta.content
print(delta.content, end="", flush=True)
if not _accumulated:
raise Exception("VALIDATION FAILED: json-output stream - no content received")
_json.loads(_accumulated)
print("\nVALIDATION: json-output stream SUCCESS")Output{"location": "London"} Paris The capital of France is Paris. To evaluate (3^{3^{3^3}}), it's crucial to follow the standard mathematical convention for exponentiation: exponentiation is right-associative, To calculate (3^{3^{3^3}}), we must first understand the order of operations for exponentiation. Exponentiation is right-associative, meaning th |
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Auto-generated by model-addition-agent for
openrouter/aion-labs/aion-3.0-mini.Note
Low Risk
Single new YAML model definition with no runtime or auth changes; misconfigured costs or limits would only affect routing/billing metadata.
Overview
Adds a new OpenRouter provider definition for
aion-labs/aion-3.0-mini, registering it as a serverless chat model with 131072 context and 32768 max output tokens.The entry includes regional token pricing (including prompt cache read), text-only modalities,
thinking: true, and capability flags for function calling, JSON output, prompt caching, and tool choice, with a source link to OpenRouter.Reviewed by Cursor Bugbot for commit 61276f4. Bugbot is set up for automated code reviews on this repo. Configure here.