Reading
Ollive is a full-stack LLM chatbot that includes a lightweight inference logging SDK, a near-real-time ingestion API, and PostgreSQL storage. It supports multiple providers (Gemini, OpenAI, Anthropic), streaming responses, and a real-time metrics dashboard.
Section 01
Ollive is a full-stack LLM chatbot that includes a lightweight inference logging SDK, a near-real-time ingestion API, and PostgreSQL storage. It supports multiple providers (Gemini, OpenAI, Anthropic), streaming responses, and a real-time metrics dashboard.
Section 02
Section 03
Ollive Inference Chatbot is a full-stack LLM chat application that includes three core components: a lightweight inference logging SDK, a near-real-time ingestion API, and a PostgreSQL database for storing messages and inference metadata.
This project addresses a key need in LLM applications: how to reliably record and monitor inference calls while maintaining low latency and a good developer experience.
Section 04
The system maintains conversation history (latest 20 messages) and sends it to the model. This is implemented via a simple message list instead of complex token-aware context management.
Section 05
Users can switch between different providers and models during a conversation.
Section 06
Uses SSE (Server-Sent Events) to implement token-by-token streaming responses, providing a better user experience.
Section 07
Real-time 24-hour panel displays:
Section 08
Sensitive information is redacted in log previews:
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