Build dialogue systems and chatbots with DeepPavlov, an open-source NLP framework using PyTorch and transformer models.
Open source
24 alternativesLLMFlows
LLMFlows provides components for building language model applications with explicit workflows.
About LLMFlows
LLMFlows is a framework for building large language model applications. It provides abstractions for model calls, prompts, chat history and dependent steps. The repository includes example applications, and the package is installed with pip.
Pricing is not clearly stated.
Key features
- LLM classes wrap calls to APIs such as OpenAI's and can retry failed calls.
- Calls return the response, call data and model configuration.
- PromptTemplate creates prompts with variables that are filled in later.
- OpenAIChat and MessageHistory support chatbot conversations.
- Flow and FlowStep run a step only when all its dependencies are met.
- The examples folder includes LLM-99, a demo app built with FastAPI and Pinecone.
Best for: Building chatbots, question-answering systems and agents.
LLMFlows at a glance
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Details verified
- Oct 22, 2026 · Official source
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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LLMFlows FAQ
How does the chat example call an OpenAI model?
It creates an OpenAIChat object with an OpenAI API key and passes the message history to generate.
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