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Capabilities, limitations, and performance of each ORA agent.
Last updated: April 25, 2026
System cards document each ORA agent’s intended use, capabilities, limitations, and performance characteristics. These disclosures comply with emerging model documentation standards and the EU AI Act transparency requirements effective August 2026.
Important: 3D3D does not train the underlying language models. ORA routes to third-party models (by default, NVIDIA NIM / ZhipuAI GLM series). Model capabilities, limitations, and biases are those of the underlying model provider.
General orchestration, mission management, system operations, and decision-making. Designed for business workflow coordination with human oversight.
GLM-5.1 (ZhipuAI, 754B parameters) via NVIDIA NIM. Supports thinking mode and tool use.
GLM-5.1 is trained by ZhipuAI (China). Training data composition and bias mitigations are documented by ZhipuAI. ORA does not modify the model weights and inherits the model’s characteristics.
Memory search, data analysis, findings synthesis, and knowledge retrieval from MCP-connected sources.
GLM-5.1 (same as Operator). Tool capabilities: MCP memory search/store, file reading, directory listing.
File creation, structured document generation, configuration management, and code generation.
GLM-5.1. Tool capabilities: file creation and modification within configured workspace.
ORA’s governance kernel (four gates: structural, evidence, consistency, consensus) prevents agent escalation beyond configured authority levels. Prohibited uses are defined in the Acceptable Use Policy. Users who attempt to circumvent governance mechanisms will have their accounts suspended.
Report agent errors or unexpected behavior to info@3d3d.ca. Include session ID, agent type, and description of the unexpected output.