Skip to content

Stuck at Orchestrator #4

@fahdmirza

Description

@fahdmirza

Hi,
I am trying to review this tool for my channel here https://youtube.com/@fahdmirza , but having an issue getting it run. It gets installed fine, but when I give it a query, it just gets stuck at orchestration. Do I need to provide all of these API keys in every field? What is the minimum config to run this ?

Agentic Bench

AGENTIC_BENCH_MODEL_NAME=<text model name eg. "gpt-4o">
AGENTIC_BENCH_MODEL_BASE_URL=<text model base url eg. "https://api.openai.com/v1">
AGENTIC_BENCH_MODEL_API_KEY=
AGENTIC_BENCH_SUPPORTED_EXECUTORS='["Docker", "Local"]'
AGENTIC_BENCH_EXECUTOR="Local"

RAG Agent Configuration

LLAMA_API_KEY=<Obtain your API key by visiting LlamaIndex Cloud "https://llamaindex.cloud">
OPENAI_MODEL_NAME=<openai model name eg. "gpt-4o">
OPENAI_API_KEY=

Autoscrapper

AGENTIC_BROWSER_TEXT_MODEL=<text model name eg. "gpt-4o">
AGENTIC_BROWSER_TEXT_API_KEY=
AGENTIC_BROWSER_TEXT_BASE_URL=<text model base url eg. "https://api.openai.com/v1">

Screenshot Analysis Configuration

AGENTIC_BROWSER_SS_ENABLED=
AGENTIC_BROWSER_SS_MODEL=<screenshot model name eg. "gpt-4o">
AGENTIC_BROWSER_SS_API_KEY=
AGENTIC_BROWSER_SS_BASE_URL=<screenshot model base url eg. "https://api.openai.com/v1">

Google Search Configuration

GOOGLE_API_KEY=
GOOGLE_CX=

Browser Configuration

BROWSER_STORAGE_DIR=<path to browser storage directory eg. "./browser_storage">

Logging

LOGFIRE_TOKEN=

Frontend Websocket Configuration

VITE_WEBSOCKET_URL=<your websocket url eg. "ws://localhost:8081/ws">
VITE_MODEL_NAME=${AGENTIC_BENCH_MODEL_NAME} # either use existing ${AGENTIC_BENCH_MODEL_NAME} or give a text model name eg. "gpt-4o"

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Type

    No type
    No fields configured for issues without a type.

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions