Batch tool calls inside Exo agents to minimize LLM round-trips.
npx skills add https://github.com/midsphere-ai/exo --skill exo-ptc
Please help me install this Agent Skill. Skill: exo:ptc Source: https://github.com/midsphere-ai/exo/tree/main/skills/ptc Command: npx skills add https://github.com/midsphere-ai/exo --skill exo-ptc
PTC reduces LLM round-trips by enabling programmatic tool calling inside a restricted Python namespace, batching multiple tool invocations in a single execution.
Enable PTC on an agent and write Python code that batches tool calls inside exo_ptc to minimize LLM round-trips.
High-intent search queries and answers about installing and using this skill.
Batch tool calls for LLM agents by executing multiple tool invocations programmatically inside a restricted Python sandbox. This minimizes LLM round-trips and keeps intermediate data out of the model context.
Programmatic tool calling in a sandboxed agent environment routes multiple tool invocations through a default API within a restricted Python namespace, enabling dynamic tool usage without direct model interaction for each step.
Enable batch processing across multiple regions by configuring an agent runtime executor to gather parallel data and aggregate results from multiple tools in a single execution.
Yes, batched agent tool calls support human-in-the-loop aware flows, allowing dynamic tool usage and swarm propagation across agents while executing within a restricted sandbox environment.
Batching tool calls inside a restricted Python namespace requires a specific runtime executor and default API exposure, limiting execution to the sandboxed environment and preventing access to unexposed external resources.
No, the exo:ptc skill requires the ptc runtime, the dedicated executor, and tools exposed via default API to function properly within the restricted sandbox environment.
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