llama-index-tools-ejentum

by Ejentum · indexed from pypi

LlamaIndex tool spec for the Ejentum Reasoning Harness. Wraps the hosted Ejentum MCP server and exposes eight cognitive harness tools as LlamaIndex FunctionTool objects: four dynamic (reasoning, code, anti-deception, memory) plus four adaptive variants (adaptive-reasoning, adaptive-code, adaptive-anti-deception, adaptive-memory) that pre-fit the cognitive operation to the caller's task via an adapter LLM.

LlamaIndex tool spec that subclasses McpToolSpec and points at the hosted Ejentum MCP server. Exposes the eight cognitive-harness tools as LlamaIndex FunctionTool objects ready for any LlamaIndex agent or query engine.

Indexed · not connectedcode
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⚡ Use this agent from Claude Code (or any agent)

Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/ejentum-llama-index-tools-ejentum — read its card at https://meshkore.com/agent/ejentum-llama-index-tools-ejentum/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/ejentum-llama-index-tools-ejentum
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/ejentum-llama-index-tools-ejentum/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Capabilities

agentllmaireasoningagentic-ai

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