Claude 3 streaming API calls + Claude unified API
AI Summary
Summary: Making API Calls with Entropic’s Cloud 3
- Introduction
- Overview of making regular and streaming API calls to Entropic’s Cloud 3.
- Discussion on setting system messages and using the Cloud Unified class.
- Cloud Unified class features: handles history, history length, and allows setting soft Mix word per message.
- Regular API Calls
- Installation:
pip install entropic termcolor
.- Import and initialize Entropic like OpenAI.
- Make API calls using
client.messages.create
.- Optional system message setting.
- Response retrieval from
response.content[0].text
.- Streaming API Calls
- Set streaming to true.
- Loop over the generator object to receive streaming responses.
- Handle potential API overload errors.
- Cloud Unified Class
- Simplifies API interaction by managing history and system messages.
- Allows setting parameters like
streaming
andmix history words
.- Example of asking for a short story about AI.
- Ability to set a soft limit on response length with
mix word per message
.- Error Handling and Modifications
- Adjustments to Cloud Unified to handle API requirement for user messages.
- Example of memory management with
mix history words
.- System Message and Mix Tokens
- Setting system messages to control response format (e.g., emojis).
mix tokens
parameter can be used to set hard limits on response length.- Patreon and Additional Resources
- Access to Cloud Unified and main.py for Patreon supporters.
- Mention of website with free coding videos and other resources.
- Discussion on the logic problem experiment with promising results.
- AutoStreamer Project
- AutoStreamer Proct project for creating educational content and websites.
- Deployment showcase on Railway.
- Upcoming release and Discord community announcement.
- Conclusion
- Encouragement to explore more videos on Cloud and feedback invitation.