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TOXP CLI - Team Of eXPerts parallel reasoning with multiple LLM agents and AWS Bedrock

Project description

TOXP - Team Of eXPerts

Parallel reasoning CLI and Python library using multiple LLM agents. TOXP spawns N independent reasoning agents to tackle complex queries, then synthesizes their outputs through a coordinator agent into a coherent, high-confidence answer.

Features

  • Parallel Reasoning: Spawn 2-32 independent reasoning agents
  • Intelligent Synthesis: Coordinator analyzes agreements, contradictions, synthesizes best answer
  • Confidence Levels: Low/Medium/High confidence ratings
  • Streaming Output: Real-time coordinator synthesis
  • Session Logging: Markdown logs with token counts and cost estimates
  • Python API: Use run_query() directly from your own code
  • 1M Context: Optional 1M token context window for supported models (Opus 4.6)

Prerequisites

  • Python 3.10+
  • AWS credentials with Bedrock access:
    aws configure --profile your-profile
    
  • Claude model access in AWS Bedrock console

Installation

# Using uvx (no install needed)
uvx toxp "Your question"

# Or install permanently
uv tool install toxp    # recommended
pipx install toxp       # alternative
pip install toxp        # in current env

Upgrading

uv tool upgrade toxp    # if installed with uv
pipx upgrade toxp       # if installed with pipx
pip install -U toxp     # if installed with pip

Setup

toxp config set aws-profile your-profile
toxp config show

Quick Start

toxp "Solve: x^2 + 5x + 6 = 0"
echo "Explain recursion" | toxp
toxp -v "Analyze quicksort"        # verbose
toxp --quiet "What is 2 + 2?"      # only answer
toxp --output answer.txt "Question"
toxp --context-1m "Summarize this very long document..."

Python API

from toxp import run_query, QueryResult, validate_credentials

# Simple usage
result = await run_query("What is 2+2?")
print(result.final_answer, result.confidence)

# With overrides and callbacks
result = await run_query(
    "Explain recursion",
    config_overrides={"num_agents": 8, "temperature": 0.7},
    callbacks=MyCallbacks(),
    cancel_token=my_cancel_event,
)

# Check credentials before running
validate_credentials()

Configuration

Stored at ~/.toxp/config.json:

toxp config show                    # view all
toxp config get model               # get value
toxp config set num-agents 24       # set value
toxp config reset                   # reset defaults
Key Default Description
aws-profile default AWS profile
region us-east-1 AWS region
num-agents 15 Parallel agents (2-32)
temperature 0.9 Agent temperature
coordinator-temperature 0.7 Coordinator temperature
model claude-sonnet-4-5 Model ID (supports Opus 4.6)
max-tokens 8192 Max tokens per response
max-concurrency auto Max concurrent API requests
context-1m false Enable 1M token context window beta
log-enabled true Enable session logging
log-retention-days 30 Days to keep logs

Environment variables: TOXP_AWS_PROFILE, TOXP_REGION, TOXP_NUM_AGENTS

CLI Reference

toxp [OPTIONS] [QUERY]

Options:
  -q, --query TEXT         Query string
  -n, --num-agents INT     Agents (2-32)
  -t, --temperature FLOAT
  -c, --max-concurrency N  Max concurrent API requests
  --aws-profile TEXT
  --region TEXT
  --context-1m             Enable 1M token context window beta
  -o, --output FILE
  -v, --verbose
  --quiet
  --help

How It Works

  1. Query sent to N reasoning agents (T=0.9)
  2. At least 50% must succeed
  3. Coordinator synthesizes responses
  4. Final answer with confidence level

Troubleshooting

# Credentials expired
aws sso login --profile your-profile

# Rate limiting
toxp config set num-agents 8

# Debug
toxp -v "Your question"

Development

pip install -e ".[dev]"
pytest -v

License

MIT

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