ruvllm_sona_adapt
Run SONA instant adaptation with a quality signal. Use when sending every prompt to the Anthropic API is wrong because you need local inference — air-gapped environments, MicroLoRA-fine-tuned per-task adapters, or sub-cent per-call cost. For general Claude work native Task is the right call.
This record as markdown: /tools/ruflo/ruvllm-sona-adapt.md
What ruvllm_sona_adapt does on Ruflo
AI agents invoke ruvllm_sona_adapt to trigger actions in Ruflo. 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 ruvllm_sona_adapt is rated High
This tool executes code/inference operations on a local model with side effects that depend on user-supplied arguments (the prompt and quality signal). While it does not delete data (Destructive) or move money (Financial), it actively runs inference pipelines and potentially fine-tuned model adapters, placing it in Execute.
From the tool's definition "Run SONA instant adaptation" indicates execution of a local inference engine with dynamically selected adapters ("MicroLoRA-fine-tuned per-task adapters").
Risk signalsBulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
The rule that runs ruvllm_sona_adapt safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Ruflo, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For ruvllm_sona_adapt, this is the rule to start with:
ruvllm_sona_adapt 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 Ruflo, apply this rule, and every ruvllm_sona_adapt call is checked against it from then on.
Questions about ruvllm_sona_adapt
Run SONA instant adaptation with a quality signal. Use when sending every prompt to the Anthropic API is wrong because you need local inference — air-gapped environments, MicroLoRA-fine-tuned per-task adapters, or sub-cent per-call cost. For general Claude work native Task is the right call. It is categorised as a Execute tool in the Ruflo MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Ruflo MCP server in PolicyLayer and add a rule for ruvllm_sona_adapt: 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 Ruflo. Nothing to install.
ruvllm_sona_adapt 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 ruvllm_sona_adapt 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 ruvllm_sona_adapt. 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.
ruvllm_sona_adapt is provided by the Ruflo MCP server (ruvnet/ruflo). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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