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LLM Tools

Multi-Model Orchestration.

Integrate any LLM provider — DeepSeek, Qwen, GLM, Kimi, MiniMax, Yi — into your workflows. From summarization and translation to sentiment analysis and semantic caching.

Agnostic Intelligence

General Bots provides the abstract layer needed to leverage multiple LLM providers simultaneously, ensuring zero vendor lock-in and optimized performance.

  • Provider Flexibility

    Connect to DeepSeek, Qwen, GLM, Kimi, MiniMax, Yi, Step, Doubao — or any OpenAI-compatible API.

  • Semantic Caching

    Reduce latency and costs by up to 90% with intelligent caching that understands intent.

  • Automated Sentiment Analysis

    Monitor emotional state in real-time and trigger human escalations based on frustration markers.

Large language models are incredibly powerful, but they have three problems: they're expensive, they hallucinate, and they can't access your internal data. LLM Tools solves all three by giving your models access to real-world tools — web search, calculators, databases, and your own custom APIs.

Provider Flexibility

Connect to DeepSeek, Qwen 2.5, GLM-4, Kimi, MiniMax, Yi, Step, Doubao, ERNIE — or any locally-hosted model via llama.cpp and Ollama. Switch providers with a single configuration change.

Dynamic Model Routing

Route simple queries to cheaper, faster models and complex reasoning tasks to high-tier models automatically. Optimize cost without sacrificing quality.

Semantic Caching

Reduce latency and costs by up to 90% with intelligent caching that understands intent. Semantically similar queries return cached responses without calling the LLM.

How It Works

The approach is called tool-augmented generation. Instead of asking the LLM to know everything from its training data, you give it tools it can call when needed. Need current stock prices? Call the market data API. Need to check inventory? Query the database. Need to send a confirmation email? Use the mail tool. Each tool is defined in BASIC and registered with the LLM. The model decides when to use each tool based on the user's request. This dramatically reduces hallucinations because the model is pulling real data instead of guessing. It also cuts costs because you can use smaller, cheaper models for most queries and only route complex ones to expensive frontier models.

Related Features

LLM Tools work with any model provider. Pair with AI Search for knowledge retrieval, Talk to Data for database queries, and Create APIs in BASIC for custom tool definitions.

Why Use LLM Tools

Unified API for every major LLM provider. Dynamic model routing, intelligent failover, semantic caching, and token cost optimization.

Key Metrics

Support for DeepSeek, Qwen, GLM, Kimi, MiniMax, Yi, and any OpenAI-compatible API. Open source, self-hosted, complete data privacy.