AI Agents
In CipherSense Agents, an Agent is more than just a prompt. It is a stateful, autonomous entity capable of reasoning, using tools, and making decisions within your enterprise workflows.
Anatomy of an Agent
Intelligence Layer
The core LLM (GPT-5.4, Claude 4.6, etc.) that handles reasoning and natural language processing.
Toolsets (MCP)
Capabilities granted to the agent via the Model Context Protocol to interact with external data and APIs.
Guardrails
System-level constraints that define the agent's persona, safety limits, and operational boundaries.
Multi-Model Agnosticism
CipherSense allows you to assign specific models to specific tasks. Use high-reasoning models like Claude Sonnet 4.6 for complex analysis, and fast, cost-effective models like GPT-5.4 for simple routing.
- Native support for OpenAI, Anthropic, Google Gemini, DeepSeek, Grok (xAI), Perplexity, and HuggingFace.
- Local deployment support via Ollama for sensitive or air-gapped environments.
- Dynamic model switching based on task complexity.
- Unified credential management across all providers.
"name": "DataAnalyzer",
"provider": "anthropic",
"model": "claude-sonnet-4-6",
"temperature": 0.7,
"tools": [
"postgres_query",
"slack_notifier"
],
"guardrails": "strict_compliance"
Supported Providers
Click any provider to view setup instructions, available models, and configuration details.
OpenAI
GPT-5.5 Pro, GPT-5.4, GPT-5, GPT-4o and more via the OpenAI API
Anthropic
Claude Opus 4.7, Claude Sonnet 4.6, Claude Haiku 4.5 and more
Google Gemini
Gemini 3.1 Pro, Gemini 3 Flash, Gemini 2.5 Pro and more via Google AI Studio
DeepSeek
DeepSeek-R1 and DeepSeek-V3 — high-performance, cost-efficient models
Grok (xAI)
grok-4.20-multi-agent, grok-4-fast-reasoning and more via xAI
Perplexity
Sonar, Sonar Pro, and Sonar Deep Research — search-augmented LLMs
HuggingFace
Llama 3.x, Mistral, Qwen, Phi, Gemma and more via the HuggingFace Inference API
Ollama (Cloud)
Gemma 3, Qwen 3, Mistral Large, Kimi, DeepSeek V4 and more via Ollama Cloud
Common Agent Roles
While agents are flexible, we recommend organizing them into specialized functional roles.
Router Agent
Acts as a dispatcher. It analyzes incoming requests and routes them to the most appropriate specialized agent or workflow branch.
Executor Agent
Designed to take action. This agent has write access to tools and is responsible for executing tasks like database updates or API calls.
Critic Agent
A specialized quality-control agent that reviews the output of other agents against a set of predefined standards before finalization.
RAG Agent
Optimized for Retrieval-Augmented Generation. It has access to your vector databases and document stores to answer questions with factual grounding.
Ready to build your first agent?
Jump into the Workflow Designer and start configuring your agentic swarm.