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* adding function_calling functionality via rust * fixed rendered YAML file * removed model_server from envoy.template and forwarding traffic to bright_staff * fixed bugs in function_calling.rs that were breaking tests. All good now * updating e2e test to clean up disk usage * removing Arch* models to be used as a default model if one is not specified * if the user sets arch-function base_url we should honor it * fixing demos as we needed to pin to a particular version of huggingface_hub else the chatbot ui wouldn't build * adding a constant for Arch-Function model name * fixing some edge cases with calls made to Arch-Function * fixed JSON parsing issues in function_calling.rs * fixed bug where the raw response from Arch-Function was re-encoded * removed debug from supervisord.conf * commenting out disk cleanup * adding back disk space --------- Co-authored-by: Salman Paracha <salmanparacha@MacBook-Pro-288.local> Co-authored-by: Salman Paracha <salmanparacha@MacBook-Pro-342.local> |
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| .. | ||
| arch_config.yaml | ||
| docker-compose.yaml | ||
| Dockerfile | ||
| main.py | ||
| mutli-turn-example.png | ||
| README.md | ||
| requirements.txt | ||
| run_demo.sh | ||
Multi-Turn Agentic Demo (RAG)
This demo showcases how the Arch can be used to build accurate multi-turn RAG agent by just writing simple APIs.
Energy Source Q/A
Provides information about various energy sources and considerations.
- Endpoint:
/agent/energy_source - Parameters:
energy_source(str, required): A source of energy (e.g.,renewable,fossil).consideration(str, optional): A specific type of consideration for an energy source (e.g.,cost,economic,technology).
Starting the demo
- Please make sure the pre-requisites are installed correctly
- Start Arch
sh run_demo.sh - Navigate to http://localhost:18080
- Ask "give me information about renewable energy sources"
