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plano/demos/samples_python/multi_turn_rag_agent/README.md
Adil Hafeez 02a76c53b0
Rename all arch references to plano across the codebase 
Complete rebrand from "Arch"/"archgw" to "Plano" including:
- Config files: arch_config_schema.yaml, workflow, demo configs
- Environment variables: ARCH_CONFIG_* → PLANO_CONFIG_*
- Python CLI: variables, functions, file paths, docker mounts
- Rust crates: config paths, log messages, metadata keys
- Docker/build: Dockerfile, supervisord, .dockerignore, .gitignore
- Docker Compose: volume mounts and env vars across all demos/tests
- GitHub workflows: job/step names
- Shell scripts: log messages
- Demos: Python code, READMEs, VS Code configs, Grafana dashboard
- Docs: RST includes, code comments, config references
- Package metadata: package.json, pyproject.toml, uv.lock

External URLs (docs.archgw.com, github.com/katanemo/archgw) left as-is.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-11 20:15:37 -08:00

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Multi-Turn Agentic Demo (RAG)

This demo showcases how Plano can be used to build accurate multi-turn RAG agent by just writing simple APIs.

Example of Multi-turn Interaction

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

  1. Please make sure the pre-requisites are installed correctly
  2. Start Plano 
    sh run_demo.sh
  3. Navigate to http://localhost:18080
  4. Ask "give me information about renewable energy sources"