Ejentum Integration Examples

May 23, 2026 · View on GitHub

Runnable code examples for integrating Ejentum's Logic API into your agent, framework, or workflow.

The Logic API retrieves engineered cognitive operations and returns structured cognitive injections. One POST request. These examples show how to make that call from every major environment.

Quick Start

curl -X POST "https://ejentum-main-ab125c3.zuplo.app/logicv1/" \
  -H "Authorization: Bearer YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{"query": "Why did deployment fail after the config change?", "mode": "reasoning"}'

7 modes: reasoning, reasoning-multi, code, code-multi, anti-deception, memory, memory-multi

Get your free API key (100 calls, no card): ejentum.com/dashboard

Examples by Environment

Language Basics

File	What it does
python/basic.py	Minimal POST, parse response, print injection
python/inject_into_agent.py	Full flow: get injection, prepend to system prompt, call LLM
typescript/basic.ts	Fetch-based minimal example
curl/single.sh	Single-mode one-liner (reasoning, code, anti-deception, or memory)
curl/multi.sh	Multi-mode one-liner (reasoning-multi, code-multi, or memory-multi)
python/graceful_degradation.py	Production pattern: timeout, retry, fallback

Agent Frameworks

File	Framework	What it does
python/langchain_tool.py	LangChain / LangGraph	`@tool` decorator wrapping Logic API call
python/openai_agents_tool.py	OpenAI Agents SDK	Function tool for the Responses API
python/openai_agents_streamable_http.py	OpenAI Agents SDK + MCP	Same SDK, streamable-HTTP MCP transport with bearer auth
python/claude_agent_sdk.py	Anthropic Claude SDK	`tool_use` definition for Claude agents
python/crewai_tool.py	CrewAI	`BaseTool` subclass for multi-agent crews
python/pydantic_ai_tool.py	Pydantic AI	Type-safe tool with async support
python/google_adk_tool.py	Google ADK	`FunctionTool` for Gemini agents
typescript/vercel_ai_tool.ts	Vercel AI SDK	`tool()` with Zod schema validation

IDEs (via MCP or Skill File)

File	Environment	What it does
mcp/ejentum_server.py	All MCP clients (Cursor, Claude Code, Windsurf, Continue, Cline, Copilot)	MCP server exposing Logic API as a tool. One server, all IDEs.
skill-files/ejentum_logic_api.md	Cursor, Windsurf, Claude Code, Codex	Unified skill file: all 4 harnesses, autonomous routing
skill-files/skill_reasoning.md	Any agent	Reasoning-only skill file (311 abilities, 6 dimensions)
skill-files/skill_code.md	Any agent	Code-only skill file (128 abilities, 13 disciplines)
skill-files/skill_anti_deception.md	Any agent	Anti-Deception-only skill file (139 abilities)
skill-files/skill_memory.md	Any agent	Memory-only skill file (101 abilities, two-pass protocol)
skill-files/.cursorrules	Cursor	Cursor-specific condensed rules file

The MCP server above is a Python reference example you can host yourself. If you prefer a packaged version that installs with one command, the published ejentum-mcp (npm ejentum-mcp) is the same shape: npx -y ejentum-mcp plus EJENTUM_API_KEY and the four harnesses appear as MCP tools.

No-Code

File	Platform	What it does
n8n/ejentum_workflow.json	n8n	Importable workflow with HTTP Request + AI Agent nodes
make-com/	Make.com	Step-by-step HTTP module setup guide
zapier/	Zapier	Webhooks by Zapier POST setup guide

How It Works

Your agent sends a task description to the Logic API
The API returns a structured cognitive injection (~400-900 tokens)
You inject it into your agent's context window BEFORE the task
The agent reasons with suppression signals active, blocking cognitive shortcuts

[REASONING CONTEXT]
{injection from Logic API}
[END REASONING CONTEXT]

{your agent's actual task}

Four product layers: Reasoning (311 abilities), Code (128), Anti-Deception (139), Memory (101). Choose the mode that matches your task.

Skill Files

Skill files teach an agent how to call the Logic API autonomously. Drop one into your IDE or agent and it handles mode selection, injection, and multi-turn drift monitoring.

Ejentum Skill File (all modes). autonomous routing across all 4 harnesses, mode stacking, multi-turn drift monitoring
Reasoning · Code · Anti-Deception · Memory. product-specific skill files

Builder's Field Notes

28 screenshots from real work sessions. Full guide with images at ejentum/builders_playbook.

License

MIT