#Multi-Agent Systems

Articles about Multi-Agent Systems — exploring patterns, best practices, and real-world implementations in production systems.

49 posts tagged with multi-agent systems. ← All posts

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Pratik Dhanave · ·13 min read

Automated Red-Teaming and Tooling

Scaling red-teaming beyond manual probing — the building blocks of an automated harness (seed library, mutation, orchestrator, scorer), LLM-driven adaptive attackers, the real tools by role (PyRIT, garak, promptfoo, Giskard), and wiring it all into CI as a repeatable gate.

Scaling red-teaming: the harness building blocks (attack seeds, mutation, orchestrator, scorer), adaptive LLM-driven attackers, the real tools by role (PyRIT, garak, promptfoo, Giskard), and integrating an automated red-team gate into CI.

#AI Red Teaming#Automation#AI Security#Tooling#Security#LLMs#Prompt Engineering#Multi-Agent Systems
Pratik Dhanave · ·5 min read

Subagents and Parallel Work

Subagents let Claude Code delegate a focused task to a separate agent with its own context — keeping the main conversation clean and letting independent work run in parallel.

Subagents delegate a focused task to a separate agent with its own context — for context isolation and parallelism. When to delegate (independent, context-heavy, specialized), defined agent types, and keeping the main session as accountable orchestrator.

#Claude Code#Subagents#Parallelism#AI#AI Agents#Multi-Agent Systems
Pratik Dhanave · ·11 min read

Evaluating Multi-Turn and Multi-Agent Systems

The capstone of the Evaluating Agents in Go series: how to score a conversation instead of a single reply, how to attribute errors across a coordinator and its sub-agents, and how to build rubric, safety, and hallucination judges in Go when the framework hands you no eval package.

The capstone of the Evaluating Agents in Go series: how to score a conversation instead of a single reply, how to attribute errors across a coordinator and its sub-agents, and how to build rubric, safety,...

#AI Agents#Evaluation#Go#Multi-Agent#Backend Engineering#Multi-Agent Systems
Pratik Dhanave · ·11 min read

Multi-Agent Orchestration in Microsoft Agent Framework (Python)

A complete guide to coordinating many agents — from a fixed pipeline, to parallel fan-out, to a self-routing mesh, to a planner that decides who acts next, to publishing an agent as a network service other agents can call.

A complete guide to coordinating many agents — from a fixed pipeline, to parallel fan-out, to a self-routing mesh, to a planner that decides who acts next, to publishing an agent as a network...

#Microsoft Agent Framework#Python#AI Agents#Multi-Agent#Software Engineering#Multi-Agent Systems
Pratik Dhanave · ·10 min read

The IBM watsonx Platform

A Python engineer's map of IBM watsonx — what watsonx.ai, watsonx.governance, watsonx.data and watsonx Orchestrate actually are, why enterprises pick them, and the smallest amount of `ibm-watsonx-ai` code that gets a foundation model answering you.

The opener to a series on building LLM and agent applications on IBM watsonx from Python: how watsonx.ai (Granite + third-party models), watsonx.governance, watsonx.data and Orchestrate fit together, and why the ibm-watsonx-ai SDK and langchain-ibm make it Python-native.

#IBM watsonx#Granite#LLMs#Python#AI Engineering#Software Engineering#Multi-Agent Systems
Pratik Dhanave · ·6 min read

Give Every Agent Its Own Credential

In a multi-agent system, a shared identity means one compromised agent carries every agent's blast radius. Here's how I split agent identity across three layers.

Most teams give a whole multi-agent app one workload identity, so one hijacked agent has every agent's blast radius. Splitting identity across app, cloud, and crypto layers shrinks it to a single role and makes the audit trail provable.

#Agentic AI#Security#Azure#Multi-Agent AI#Multi-Agent Systems
Pratik Dhanave · ·7 min read

Orchestration and Handoff: Routing Intent to a Specialist

Lesson 5 of Harness Engineering in Go — a triage step that first-matches a keyword and hands the request to a specialist, and the exact place a substring table stops being able to think.

Lesson 5: a triage router first-matches a keyword to hand intent to a specialist, and the exact point a substring table stops being able to think.

#Harness Engineering#Go#AI Agents#Orchestration#Azure#Engineering Practices#Backend Engineering#Multi-Agent Systems
Pratik Dhanave · ·10 min read

Google ADK Glossary: Every Core Concept in One Place

The reference capstone for the 26-part series — every canonical ADK term, defined concisely.

The capstone of the series: every core ADK concept defined in one place — agents and orchestration, tools, sessions/state/memory, context and callbacks, runtime and streaming, models, grounding, evaluation, protocols, and deployment.

#Google ADK#AI Agents#Agentic AI#Evaluation#Multi-Agent Systems#Streaming
Pratik Dhanave · ·5 min read

Testing Agents Without a Model

The full pipeline should run in CI with zero API keys and zero network. A deterministic classifier is the test double that makes an agentic system testable.

Put the seam at the router: same interface, a deterministic classifier for tests. The whole orchestration, routing, gateway, human-in-the-loop, and checkpointing, runs in CI with zero API keys and zero network.

#Agentic AI#Testing#Engineering#CI/CD#Multi-Agent Systems#APIs
Pratik Dhanave · ·3 min read

Orchestration Patterns — Microsoft Agent Framework in Go

The prebuilt orchestration builders in agent-framework-go — Sequential, Concurrent, Group Chat — plus wrapping a whole workflow as one agent.

The Sequential, Concurrent, and Group Chat orchestration builders in agent-framework-go, plus wrapping a whole workflow as one nestable agent.

#Microsoft Agent Framework#Go#AI Agents#Orchestration#Multi-Agent#Backend Engineering#Multi-Agent Systems#Concurrency
Pratik Dhanave · ·3 min read

Workflow Mechanics — Microsoft Agent Framework in Go

The graph model underneath every multi-agent app: executors as nodes, edges as data flow, and typed events streaming out of `WatchStream` as it runs.

The Microsoft Agent Framework workflow model in Go: executors bound to IDs, AddEdge wiring, WithOutputFrom, and typed WatchStream events - plus an upstream route-builder fix.

#Microsoft Agent Framework#Go#AI Agents#Workflows#Orchestration#Backend Engineering#Multi-Agent Systems
Pratik Dhanave · ·3 min read

Hosting and the Capstone App — Microsoft Agent Framework in Python

Turning agents into a service you can run and expose, then a full DocQA app that ties the whole series together.

Host Microsoft Agent Framework agents with DevUI, A2A, MCP, and AG-UI, then build DocQA — a grounded, cited multi-agent app that ties the whole Python series together.

#Microsoft Agent Framework#Python#AI Agents#Hosting#Multi-Agent#Software Engineering#MCP#Multi-Agent Systems
Pratik Dhanave · ·7 min read

Moving Money Across Services Without a Distributed Transaction

How to coordinate a multi-step payment as an orchestrated saga: compensating actions for partial failures, idempotent steps, and a guarantee that money is never left stranded.

Teaches how to coordinate a multi-step payment across services without distributed transactions: orchestrated saga steps, compensating actions for partial failures, and guaranteeing money is never stranded.

#Fintech#Reliability#Reconciliation#Financial Systems#Multi-Agent Systems
Pratik Dhanave · ·3 min read

Orchestration Patterns — Microsoft Agent Framework in Python

Five prebuilt multi-agent shapes — Sequential, Concurrent, Group Chat, Handoff, Magentic — and when each beats hand-wiring a graph.

Sequential, Concurrent, Group Chat, Handoff, Magentic — the five prebuilt Microsoft Agent Framework orchestrations in Python and when each beats hand-wiring a graph.

#Microsoft Agent Framework#Python#AI Agents#Orchestration#Multi-Agent#Software Engineering#Multi-Agent Systems#Concurrency
Pratik Dhanave · ·6 min read

Building a Step-Up Authentication Orchestrator

How a risk-driven layer escalates from silent approval to OTP, biometric, or 3DS challenge — holding a pending-challenge state and resuming the original transaction once the customer clears it.

Teaches how to build risk-based step-up auth: an orchestration layer that escalates from silent to OTP/biometric/3DS challenge based on risk signals, with pending-challenge state and resumable transaction context.

#Fintech#Fraud#Risk#Financial Systems#Multi-Agent Systems
Pratik Dhanave · ·3 min read

Workflow Mechanics — Microsoft Agent Framework in Python

The graph model underneath every multi-agent app: executors as nodes, edges as data flow, and typed events streaming out as it runs.

The Microsoft Agent Framework workflow model in Python: executors as nodes, edges as data flow, switch-case routing, and typed streaming events - learned model-free.

#Microsoft Agent Framework#Python#AI Agents#Workflows#Orchestration#Software Engineering#Multi-Agent Systems#Streaming
Pratik Dhanave · ·5 min read

Multi-Agent Systems in ADK: Coordinators, sub_agents, and LLM-Driven Delegation

How one agent routes work to specialists — and why the description field is the most important string you write.

Agent hierarchies and LLM-driven delegation: sub_agents, how the description field drives auto-transfer, and coordinator/dispatcher patterns — contrasted with deterministic workflow agents.

#Google ADK#AI Agents#Python#Go#Software Engineering#Backend Engineering#LLMs#Multi-Agent Systems
Pratik Dhanave · ·2 min read

03 · Agent Workflow Patterns (sequential · concurrent · group chat)

This lesson teaches that orchestration is a property of the workflow, not the agents — the same three agents drop into three different built-in graph shapes.

The same three agents dropped into three built-in agentworkflow builders — sequential, concurrent, and round-robin group chat — showing orchestration is a property of the graph, not the agents.

#Microsoft Agent Framework#Go#AI Agents#Orchestration Patterns#Backend Engineering#Multi-Agent Systems#Concurrency

All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.