spraay_compute_text_inference
Run LLM text inference via Spraay Compute. 11 models across Chutes, Replicate, OpenRouter (DeepSeek, Llama, Qwen, Gemma). Costs $0.003-$0.10 USDC depending on model.
This record as markdown: /tools/io-github-plagtech-spraay-x402-mcp/spraay-compute-text-inference.md
What spraay_compute_text_inference does on Spraay X402 Mcp
AI agents invoke spraay_compute_text_inference to trigger actions in Spraay X402 Mcp. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why spraay_compute_text_inference is rated High
This tool executes code/operations by running LLM inference on external services, which is the defining characteristic of Execute category. While it incurs financial costs, the primary function is triggering external inference operations whose effects depend on the prompts/arguments supplied.
From the tool's definition Tool description states 'Run LLM text inference' and lists execution across multiple model providers (Chutes, Replicate, OpenRouter). The word 'Run' indicates active execution of external operations.
Attacks that exploit this kind of access
The rule that runs spraay_compute_text_inference safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Spraay X402 Mcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For spraay_compute_text_inference, this is the rule to start with:
spraay_compute_text_inference stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Spraay X402 Mcp, apply this rule, and every spraay_compute_text_inference call is checked against it from then on.
Questions about spraay_compute_text_inference
Run LLM text inference via Spraay Compute. 11 models across Chutes, Replicate, OpenRouter (DeepSeek, Llama, Qwen, Gemma). Costs $0.003-$0.10 USDC depending on model. It is categorised as a Execute tool in the Spraay X402 Mcp MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Spraay X402 MCP server in PolicyLayer and add a rule for spraay_compute_text_inference: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Spraay X402 Mcp. Nothing to install.
spraay_compute_text_inference is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the spraay_compute_text_inference rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for spraay_compute_text_inference. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
spraay_compute_text_inference is provided by the Spraay X402 MCP server (spraay-x402-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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