What You Can Do
The endpoint supports a wide range of capabilities to power intelligent applications:- Basic Chat → Natural conversation in Swahili, English, and other African languages.
- Multimodal → Combine text and images as input for richer interactions.
- RAG (Retrieval-Augmented Generation) → Connect external knowledge sources for contextual, grounded responses.
- Agentic RAG → Extend RAG with agent workflows for planning, reasoning, and task execution.
- Agents → Run multi-step autonomous workflows where the model coordinates actions.
- Reasoning → Handle structured problem solving, logic, and advanced query resolution.
- Tools Calling → Dynamically call external APIs or functions from within a conversation.
- Structured Output → Generate reliable, typed JSON for downstream processing.
Chat Models includes
The chat endpoint runs on Pawa small language models (SLMs), optimized for efficiency, long context, and multilingual use.- Pawa Ember → Lightweight, efficient model for real-time and low-cost deployments.
- Pawa Blaze → Advanced model for reasoning, multimodal tasks, and agentic workflows.
With chat endpoint, you can start simple and scale up to advanced multimodal and agent-based applications — without changing the core interface.