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New Model providers, Build multi Flow systems

Adding 10 new model providers → Expanding Model Capabilities

We have upgraded our model proxy system to support several new models, including:

  • Cloudflare

  • Cohere

  • xAI

  • AWS Bedrock

  • Azure

  • Cohere

  • Perplexity

  • FireworksAI

  • DeepInfra

  • Together AI

In addition, we now provide recommendations for the optimal model from each provider, categorized as follows:

  • Preferred: The default model we recommend, offering the best balance of speed and quality.

  • Best Quality: The model with the highest overall response quality.

  • Fastest: The model with the quickest response time.

  • Cheapest: The model with the lowest token cost (including both input and output).

Check out the doc: https://lamatic.ai/docs/models

Execute Flow within a Flow

Agentic Systems now support complex workflows where you can invoke other Agentic Flows to achieve your desired outcomes. This new capability allows for the creation of intricate, multi-step processes. Simply select the Execute Flow node from the node selector and choose the Flow you want to run.

Currently, you can select flows that use Lamatic-built interfaces as trigger nodes, such as GraphQL, Chat, and Search.

Check out the Doc: https://lamatic.ai/docs/node/execute-flow

Other Improvements

Improved Support for Role based Access Controls

We have significantly improved support for Role-Based Access Control (RBAC) to ensure a more secure, scalable, and flexible management of permissions within the system.

Functionality

Owner

Admin

Editor

Developer

Viewer

Organization Management

✅

✅

❌

❌

❌

Billing

✅

❌

❌

❌

❌

Project Management

✅

✅

❌

❌

❌

Flow Management

✅

✅

✅

✅

❌

Test & Preview Flows

✅

✅

✅

✅

✅

Log Access

✅

✅

✅

❌

❌

Integration Access

✅

✅

✅

❌

❌

Easier Integration of third party applications

We have simplified the process of integrating third-party applications into your flows, making it more efficient and user-friendly.

Passing context history in JSON Generator

The JSON Generator now supports passing context history, enabling more dynamic and context-aware responses. This feature allows you to include historical data or previous interactions as part of the JSON structure to improve the flow and relevance of your output.