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Mirror of khoj from Github
agentaiassistantchatchatgptemacsimage-generationllama3llamacppllmobsidianobsidian-mdoffline-llmproductivityragresearchself-hostedsemantic-searchsttwhatsapp-ai
c53c3db96b
- Track input, output token usage and cost for interactions
via chat api with openai, anthropic and google chat models
- Get usage metadata from OpenAI using stream_options
- Handle openai proxies that do not support passing usage in response
- Add new usage, end response events returned by chat api.
- This can be optionally consumed by clients at a later point
- Update streaming clients to mark message as completed after new
end response event, not after end llm response event
- Ensure usage data from final response generation step is included
- Pass usage data after llm response complete. This allows gathering
token usage and cost for the final response generation step across
streaming and non-streaming modes
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Your AI second brain
Khoj is a personal AI app to extend your capabilities. It smoothly scales up from an on-device personal AI to a cloud-scale enterprise AI.
- Chat with any local or online LLM (e.g llama3, qwen, gemma, mistral, gpt, claude, gemini).
- Get answers from the internet and your docs (including image, pdf, markdown, org-mode, word, notion files).
- Access it from your Browser, Obsidian, Emacs, Desktop, Phone or Whatsapp.
- Create agents with custom knowledge, persona, chat model and tools to take on any role.
- Automate away repetitive research. Get personal newsletters and smart notifications delivered to your inbox.
- Find relevant docs quickly and easily using our advanced semantic search.
- Generate images, talk out loud, play your messages.
- Khoj is open-source, self-hostable. Always.
- Run it privately on your computer or try it on our cloud app.
See it in action
Go to https://app.khoj.dev to see Khoj live.
Full feature list
You can see the full feature list here.
Self-Host
To get started with self-hosting Khoj, read the docs.
Contributors
Cheers to our awesome contributors! 🎉
Made with contrib.rocks.
Interested in Contributing?
We are always looking for contributors to help us build new features, improve the project documentation, or fix bugs. If you're interested, please see our Contributing Guidelines and check out our Contributors Project Board.