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LLMs

The reasoning engine that powers intelligent decision-making.

Role of LLMs

Instant LLM Configuration

The Quick LLM Setup enables users to configure models instantly with minimal inputs. Users can specify model name, API details, temperature, and token limits in a few simple steps. This allows Agents to connect and start using LLMs in seconds.

  • Fast and simple LLM setup.
  • Enter model, API, and keys.
  • Adjust temperature and tokens.
  • Connect instantly for Agent use.

Seamless Integration & Connectivity

LLMs integrate smoothly with Agents, Tools, and APIs across the workspace. Each LLM configuration supports major providers and secure API connectivity, ensuring flexible and scalable integration in multi-agent workflows.

  • Supports all major LLM providers.
  • Works with Tools and APIs.
  • Enables secure API connections.
  • Scales across multi-agent systems.

Customization & Control

Users can fine-tune LLM behavior through tone settings, guardrails, and optional Post-Fact Checking (PFC). This control ensures safe, accurate, and consistent responses aligned with each App’s purpose.

  • Customize tone and behavior.
  • Set guardrails for safe output.
  • Enable PFC for verified results.
  • Maintain accuracy and consistency.

Use Cases

T
Transaction Monitoring & AML Case Automation
Automation / Finance / Compliance

Fintechs must continuously detect, investigate, and report suspicious activity across high-volume transactions.

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D
Digital KYC & CIP Orchestration with Risk-Based Tiering
Automation / Finance / Identity

Onboarding demands fast, accurate identity verification across documents, liveness, address proofs, and database checks.

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U
Utility Bill Categorization & Payment Automation
Finance / Utilities / Smart Home Management

Managing multiple utility bills (electricity, water, gas, internet, phone, etc.) is a repetitive and error-prone task.

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M
Multi-Agent Order Aggregation & Fulfillment System
E-commerce & Retail Logistics

In modern e-commerce, retailers often sell across multiple channels such as Amazon, eBay, etc. and their own websites.

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Frequently Asked Questions

We have put together some commonly asked questions

It is a multi-agent AI platform for designing and deploying intelligent workflows using Agents, Tools, APIs, LLMs, and Knowledge Bases.

Apps help you organize and manage your automation projects. They bring together Teams, Agents, LLMs and Tools in one unified space, enabling you to design and run complete multi-agent workflows seamlessly.

Multi-Agent Teams allow multiple agents to work collaboratively across different workflows. Each agent performs a distinct task while communicating through Syncloop’s orchestration protocols.

Tools connect Agents with APIs, data sources, or external systems, defining how tasks like data extraction, computation, or validation are executed.

LLMs such as OpenAI GPT, Google Gemini, or Anthropic Claude can be integrated to give your agents natural language reasoning, summarization, and conversational intelligence.

A Knowledge Base stores information your agents use for contextual decision-making. When paired with LLMs via RAG (Retrieval-Augmented Generation), it enables accurate, data-grounded responses.

Yes. You can create and expose custom APIs directly through Syncloop API Development Platform to integrate your workflows with internal databases, third-party services, or enterprise systems.

Deploying in Syncloop is simple, you can publish Apps, Agents, and Tools as live services instantly, enabling secure real-time execution without managing infrastructure manually.

Syncloop is cloud-native and auto-scalable, allowing multi-agent systems to handle large workloads, multiple user requests, and complex workflows efficiently without performance loss.

All APIs created or used in Syncloop are managed through a centralized console, allowing version control, access permissions, monitoring, and easy integration with other systems.
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