ruvllm_sona_create
Create a SONA instant adaptation loop (<1ms adaptation cycles). 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 rig...
This record as markdown: /tools/io-github-ruvnet-claude-flow/ruvllm-sona-create.md
What ruvllm_sona_create does on Claude Flow
AI agents invoke ruvllm_sona_create to trigger actions in Claude Flow. 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_create is rated High
This tool creates and runs a local inference adaptation loop with fine-tuned model adapters. It triggers an ongoing execution process (adaptation cycles) rather than simply reading or writing data. The 'Create' aspect implies initialization of a running process, and 'adaptation loop' implies ongoing execution.
From the tool's definition Create a SONA instant adaptation loop (<1ms adaptation cycles)... local inference — air-gapped environments, 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_create safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Claude Flow, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For ruvllm_sona_create, this is the rule to start with:
ruvllm_sona_create 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 Claude Flow, apply this rule, and every ruvllm_sona_create call is checked against it from then on.
Questions about ruvllm_sona_create
Create a SONA instant adaptation loop (<1ms adaptation cycles). 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 Claude Flow MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Claude Flow MCP server in PolicyLayer and add a rule for ruvllm_sona_create: 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 Claude Flow. Nothing to install.
ruvllm_sona_create 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_create 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_create. 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_create is provided by the Claude Flow MCP server (claude-flow). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Claude Flow, and thousands of servers like it.
Across the catalogue