LLM Consortium

Synth, can you

research market trends

deploy smart contracts

execute trades

analyze data

monitor exchanges

optimize portfolios

manage assets

evaluate risks

Orchestrate multiple LLMs, iteratively refine & achieve consensus through structured dialogue and evaluation.

Get Started View on GitHub Follow us

Core Features

Harness the power of multiple language models with blockchain security

Multi-Model Orchestration

Coordinate multiple LLMs with blockchain verification

Iterative Refinement

Auto-refine responses through consensus tracking

Advanced Arbitration

Synthesize responses with on-chain verification

SYNTH Agent

One Agent, Multiple Models

Orchestrating AI Intelligence

Unified LLM Control

Blockchain-Verified Decisions

Consensus Through Collaboration

Decentralized AI Orchestration

Multiple Models, One Truth

Intelligent Model Synthesis

One Agent, Multiple Models

Your AI orchestration agent powered by blockchain technology

Follow @AgentSynth07

Multi-Model Orchestration

Coordinates responses from multiple LLMs to reach optimal solutions through structured dialogue

Blockchain Verification

Every decision and consensus is recorded on Solana for complete transparency

Advanced Arbitration

Uses specialized models to evaluate and synthesize responses for optimal results

Example Usage:

from llm_consortium import Synth

# Initialize SYNTH agent
agent = Synth(
    models=["gpt-4", "claude-3", "gemini-pro"],
    consensus_threshold=0.8,
    blockchain_verification=True
)

# Process a complex query
result = await agent.process(
    query="Analyze the impact of AI on healthcare",
    max_iterations=3
)

print(f"Consensus Score: {result.consensus_score}")
print(f"Verified Hash: {result.blockchain_hash}")

$SYNTH Token

As an open-source project, SYNTH token enables community governance and sustainable development while maintaining our commitment to transparency and decentralization.

1,000,000,000 SYNTH

Total Supply

Solana

Network

Contract Address: TBA

100% Open Source

Buy $SYNTH

Community Governance

Token holders can participate in key decisions about the project's development and future features

Open Source Development

Token proceeds fund continued open-source development and community initiatives

Network Security

Staking SYNTH helps secure the network and validate AI consensus decisions

Open Source

LLM Consortium is open source and available on GitHub. Join our community of contributors!

Repository

★ Stars on GitHubMIT LicenseOpen Source

View on GitHub

# Initialize a consortium
llm consortium init \
  --models gpt-4,claude-3,gemini-pro \
  --confidence 0.8

# Run a query
llm consortium "Analyze the impact of AI on healthcare"

Documentation

Everything you need to know about using LLM Consortium.

Multi-Model Orchestration

Coordinate responses from multiple LLMs simultaneously

Iterative Refinement

Automatically refine responses through multiple rounds

Advanced Arbitration

Uses a designated arbiter model to synthesize responses

Installation

# Using uv
uv tool install llm

# Using pipx
pipx install llm
llm install llm-consortium

Basic Usage

# Simple query
llm consortium "What are the key considerations for AGI safety?"

# Advanced usage with options
llm consortium "Your complex query" \
  --models claude-3,gpt-4,gemini-pro \
  --confidence 0.8 \
  --max-iterations 3

Configuration

{
  "models": ["gpt-4", "claude-3", "gemini-pro"],
  "confidence_threshold": 0.8,
  "max_iterations": 3,
  "arbiter_model": "claude-3-opus"
}