autogen-verigent 0.1.0

Verigent trust verification for Microsoft AutoGen multi-agent systems

autogen-verigent

Trust verification for Microsoft AutoGen multi-agent systems.

The Problem

When multiple AI agents collaborate in an AutoGen GroupChat, you have no way to verify their capabilities or prioritise the right agent for a given task. Agents self-declare what they can do — there's no independent trust signal.

autogen-verigent integrates Verigent trust keys into AutoGen's speaker selection, so agents with verified capabilities get priority for relevant tasks.

Install

pip install autogen-verigent

Quick Start

from autogen import AssistantAgent, UserProxyAgent
from autogen_verigent import VerigentAgent, VerigentGroupChat

# Create your agents as normal
coder = AssistantAgent(name="coder", system_message="You write code.")
reviewer = AssistantAgent(name="reviewer", system_message="You review code.")
user = UserProxyAgent(name="user")

# Wrap with Verigent identity
vg_coder = VerigentAgent(
    coder,
    "VG:CODER-01:V4-ARCH·Se4Op7An5Ar9Co2Ad6St8Sc3Sa5So1Br2Fo6"
)
vg_reviewer = VerigentAgent(
    reviewer,
    "VG:REVIEWER-02:V3-ANAL·Se6Op3An8Ar4Co5Ad3St7Sc6Sa7So2Br1Fo2"
)

# Create trust-aware GroupChat
group = VerigentGroupChat(
    agents=[vg_coder, vg_reviewer, user],
    task_type="code",  # prioritises Architect, Forge, Analyst scores
    max_round=12,
)

Trust-Weighted Speaker Selection

When VerigentGroupChat selects the next speaker, it:

1. Parses each agent's VG key (tier + 12 class scores)
2. Computes a relevance score based on the task_type
3. Combines tier (40%) and relevance (60%) into a composite weight
4. Selects the highest-scoring eligible agent

Task Types

Task Type	Prioritised Classes
code	Architect, Forge, Analyst
analysis	Analyst, Sage, Scout
communication	Conduit, Broker, Adaptor
security	Sentinel, Steward, Scout
research	Scout, Sage, Analyst
coordination	Conduit, Steward, Sovereign
creative	Forge, Adaptor, Sage
operations	Operative, Steward, Sentinel
strategy	Sovereign, Architect, Sage
execution	Operative, Forge, Sentinel

VG Key Format

VG:{NAME}-{SUFFIX}:{TIER}-{PRIMARY}·{12×class_code+digit}

Example: VG:JARVIS-0A:V3-ARCH·Se4Op7An5Ar9Co2Ad6St8Sc3Sa5So1Br2Fo6

• Tier: V0 (unverified) to V6 (maximum trust)
• Primary: Dominant capability class
• Scores: 12 class scores (0-9), each representing verified capability

Transparency Log

Access the trust decision log for auditability:

for entry in group.trust_log:
    print(entry["selected"], entry["candidates"])

API Reference

VerigentAgent(agent, vg_key)

Wraps a ConversableAgent with Verigent identity. Injects the key into the system message and parses keys from incoming messages.

VerigentGroupChat(agents, task_type, trust_bias, ...)

Extends GroupChat with trust-weighted speaker selection. Set trust_bias=0 to disable trust influence, trust_bias=1 for pure trust-based selection.

parse_key(text) -> VGKey | None

Parse a VG key from any text string.

evaluate_trust(key, task_type) -> TrustScore

Compute trust score for a key given a task context.

Links

• Verigent — Agent trust verification
• AutoGen — Multi-agent framework
• PyPI

License

MIT