LiteLlm Basics + Creating our Custom LLM Provider with an API endpoint | AI Gateway with LiteLlm
★★☆ SilverIntermediateLiteLLMLobeChatUVDocker

🎧 AI Learnings Digest· Agents as a Service · AI Coach
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① WATCH
② DECIDE
③ IMPLEMENT
What you get
LiteLLM proxy setup and custom LLM provider creation
LiteLLMLobeChatUVDockerPipYAMLPython
Prompts1
Code files4
Configs1
READMEyes
Quality★★☆ Silver
DifficultyIntermediate
SKILL.md
--- name: litellm-basics-creating-our-custom-llm-provider-with-an-api- version: "1.0.0" description: "LiteLLM proxy setup and custom LLM provider creation" source: "https://www.youtube.com/watch?v=QKCMqKIR1SQ" tags: [LiteLLM, LobeChat, UV, Docker, Pip] --- # LiteLlm Basics + Creating our Custom LLM Provider with an API endpoint | AI Gateway with LiteLlm > Auto-generated from: LiteLlm Basics + Creating our Custom LLM Provider with an API endpoint | AI Gateway with LiteLlm by DasLearning ## Prerequisites - Python 3.7+ - Flask - LiteLLM - pytest ## Quick Start 1. `python3 -m venv venv` 2. `source venv/bin/activate` 3. `pip install flask litellm pytest` 4. `python custom_llm_api/app.py` 5. `litellm --config proxy/config.yaml` ## What You Get - Content Type: code - Difficulty: intermediate - Tools: LiteLLM, LobeChat, UV, Docker, Pip
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