local_llm_generate
Generate text using a local Ollama model. Runs entirely on your machine — no data sent to any cloud.
This record as markdown: /tools/io-github-heznpc-iconnect/local-llm-generate.md
What local_llm_generate does on Iconnect
AI agents invoke local_llm_generate to trigger actions in Iconnect. 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 local_llm_generate is rated High
This tool executes a local model inference process (Ollama) on the user's machine. While it doesn't delete data or move money, it runs an external process whose behavior depends on the prompt/arguments provided. An AI agent could misuse it to generate harmful content or exhaust local compute resources. Severity is medium since effects are local and no data is exfiltrated to the cloud.
From the tool's definition 'Generate text using a local Ollama model' — triggers execution of a local LLM inference process on the machine
Attacks that exploit this kind of access
The rule that runs local_llm_generate safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Iconnect, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For local_llm_generate, this is the rule to start with:
local_llm_generate 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 Iconnect, apply this rule, and every local_llm_generate call is checked against it from then on.
Questions about local_llm_generate
Generate text using a local Ollama model. Runs entirely on your machine — no data sent to any cloud. It is categorised as a Execute tool in the Iconnect MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Iconnect MCP server in PolicyLayer and add a rule for local_llm_generate: 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 Iconnect. Nothing to install.
local_llm_generate 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 local_llm_generate 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 local_llm_generate. 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.
local_llm_generate is provided by the Iconnect MCP server (iconnect-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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