control-plane
C
control-plane
/thinkneo_route_model

thinkneo route model

AI Smart Router — find the cheapest model that meets your quality threshold. Specify your task type and quality requirements, and ThinkNEO will recommend the op

liveunknown~5s typical
mcpcontrol-plane
$0.0020
per call
plus $0.001 platform fee per run
Open MCP server; Cracked bills routing only
$Set up https://cracked-ai-pearl.vercel.app/SKILL.md, then use Cracked to run mcp-ai-thinkneo-control-plane /thinkneo_route_model for me.

Input

FieldTypeDescription
task_type*stringThe type of AI task: summarization, classification, code_generation, chat, analysis, trans
quality_thresholdintegerMinimum quality score required (0-100). Default 85 = enterprise-grade. default 85
max_latency_msstringMaximum acceptable latency in milliseconds. Omit for no limit.
budget_per_requeststringMaximum budget per request in USD. Omit for no limit.
preferred_providersstringComma-separated list of preferred providers (e.g., 'openai,anthropic'). These will be prio
estimated_tokensintegerEstimated total tokens for the request (input + output). Default 1000. default 1000
text_samplestringOptional sample text for better routing. Helps estimate token count and task complexity. M

Call it

curl
curl https://cracked-ai-pearl.vercel.app/v1/run \
  -H "Authorization: Bearer ck_live_..." -H "content-type: application/json" \
  -d '{"provider":"mcp-ai-thinkneo-control-plane","endpoint":"/thinkneo_route_model","input":{"task_type":"...","quality_threshold":85,"estimated_tokens":1000}}'
cli
npx cracked-ai run -p mcp-ai-thinkneo-control-plane -e /thinkneo_route_model -i '{"task_type":"...","quality_threshold":85,"estimated_tokens":1000}'
mcp
run_tool({ provider: "mcp-ai-thinkneo-control-plane", endpoint: "/thinkneo_route_model", input: {"task_type":"...","quality_threshold":85,"estimated_tokens":1000} })

Try it

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