Streaming CoT inference with Server-Sent Events (SSE). Events: cot/cot_end/ans/done. $0.025/call.
Part of the Aaaa Nexus MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents invoke inference_stream to trigger processes or run actions in Aaaa Nexus. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.
inference_stream can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. Intercept enforces rate limits and validates arguments to keep execution within safe bounds.
Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.
tools:
inference_stream:
rules:
- action: allow
rate_limit:
max: 10
window: 60
validate:
required_args: true See the full Aaaa Nexus policy for all 9 tools.
Agents calling execute-class tools like inference_stream have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Execute risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.
inference_stream is one of the high-risk operations in Aaaa Nexus. For the full severity-focused view — only the high-risk tools with their recommended policies — see the breakdown for this server, or browse all high-risk tools across every MCP server.
Streaming CoT inference with Server-Sent Events (SSE). Events: cot/cot_end/ans/done. $0.025/call.. It is categorised as a Execute tool in the Aaaa Nexus MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Add a rule in your Intercept YAML policy under the tools section for inference_stream. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Aaaa Nexus MCP server.
inference_stream 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 inference_stream rule in your Intercept 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 Intercept policy for inference_stream. 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.
inference_stream is provided by the Aaaa Nexus MCP server (atomadictech-ud4n/aaaa-nexus). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Open source. One binary. Zero dependencies.
npx -y @policylayer/intercept