The Bridger C8 - An Agentic AI Solution to Cross Collaboration and Breaking Down Silos

AgentVerse Hackathon Track 1 - Reimagining the Workplace

Incorporates a network of agents:

• text agent
• speech agent
• transcribe agent
• allocation agent

Key pieces

• frontend/app.py - Streamlit app. Shows "Login with Google" button, chat UI, and forwards messages to agents/text_agent.py.
• agents/text_agent.py - Refactored text agent with generate_text(prompt) and CLI entrypoint; writes text_agent_output.json.
• requirements.txt - lists required Python packages (Streamlit and Google auth libs added).

Quick setup

1. Create a Google OAuth client (Web application) in Google Cloud Console.

   • Set the authorized redirect URI to http://localhost:8501/ (for local Streamlit runs).
   • Download the JSON and save it as frontend/agentverse-streamlit-app/client_secrets.json.

2. Install Python deps python -m pip install -r requirements.txt

3. Set the GenAI API key for the text agent as an environment variable: export GENAI_API_KEY="your_genai_api_key"

4. Run the Streamlit app from repository root: streamlit run frontend/app.py

5. Click "Login with Google" and complete the consent flow. After redirect back to the app, you'll be logged in. Type into the chat box and press Send.

Notes and assumptions

• The app implements a server-side OAuth flow using google-auth-oauthlib. The client_secrets.json must contain the web client credentials (the file Google gives you for web apps).
• This setup assumes you register http://localhost:8501/ as the OAuth redirect URI in Google Cloud Console.
• The text agent uses the google.genai library (existing in the repo). Ensure the GENAI_API_KEY env var is set.

Security

• Never commit client_secrets.json or API keys to source control. Keep them local or in a secure secret manager.