#Google ADK

Articles about Google ADK — exploring patterns, best practices, and real-world implementations in production systems.

36 posts tagged with google adk. ← All posts

#A2A (14)#ADK (8)#AG-UI (6)#AI (9)#AI Agents (311)#AI Architecture (10)#AI Cost (10)#AI Cost Optimization (8)#AI Engineering (201)#AI Evaluation (8)#AI Governance (29)#AI Red Teaming (9)#AI Research (9)#AI Safety (8)#AI Security (21)#AI in Production (12)#AML (3)#API Design (10)#API Security (8)#APIs (55)#AWS (17)#Accounting (9)#Agent Skills (3)#Agentic AI (24)#Agentic Commerce (12)#Agentic RAG (8)#Agents (4)#Amazon Bedrock (8)#Analytics (3)#Architecture (36)#Audit (3)#Authentication (11)#Authorization (3)#Automation (6)#Azure (11)#Azure AI Foundry (9)#Backend Engineering (310)#Benchmarks (3)#Best Practices (3)#BigQuery (6)#Business Finance (8)#Business Strategy (55)#C (8)#CI/CD (8)#Caching (10)#Capital Markets (14)#Card Payments (12)#Cards (13)#Career (24)#Checkpointing (4)#Claude Code (8)#Cloud (5)#Cloud Architecture (3)#Cloud Native (10)#Code Review (8)#Collaboration (5)#Communication (9)#Compliance (52)#Computer Networking (9)#Computer Science (32)#Computer Vision (5)#Concurrency (37)#Consulting (3)#Containers (10)#Context Engineering (10)#Cost Optimisation (5)#Credit (14)#Credit Risk (14)#CrewAI (8)#Crypto (12)#Cryptocurrency (12)#Cryptography (8)#Custody (9)#DSPy (8)#Data (13)#Data Engineering (12)#Data Structures (9)#Databases (37)#Deployment (3)#Design Patterns (10)#DevOps (16)#DevSecOps (11)#Developer Experience (5)#Developer Tools (5)#Distributed Systems (94)#Documentation (3)#Edge AI (8)#Embeddings (15)#Emotional Intelligence (8)#Energy (8)#Engineering (11)#Engineering Culture (3)#Engineering Practices (16)#Error Handling (4)#Evaluation (53)#Event-Driven Architecture (8)#FREE-AI (8)#FX (5)#Feedback (4)#FinOps (23)#FinTech (6)#Financial AI (14)#Financial Systems (129)#Fine-Tuning (11)#Fintech (131)#Flutter (8)#Foreign Exchange (5)#Forward Deployed Engineer (8)#Forward Deployed Engineering (8)#Fraud (10)#Function Tools (5)#Functional Programming (3)#Fundraising (8)#GCP (5)#Gemma (4)#Generative AI (3)#Git (8)#Go (220)#Go-to-Market (8)#Google ADK (36)#Governance (56)#Granite (6)#GraphQL (3)#Growth (3)#Guardrails (25)#HIPAA (3)#HTTP (3)#Harness Engineering (8)#Hiring (8)#Hugging Face (8)#Human-in-the-Loop (8)#IBM watsonx (8)#Identity (11)#Integration (3)#Intellectual Property (8)#Interfaces (3)#JavaScript (8)#KYC (11)#KYC and AML (12)#Kafka (10)#Kubernetes (17)#LLM (5)#LLM Inference (8)#LLM-as-Judge (3)#LLMs (135)#LangChain (8)#LangGraph (11)#Leadership (26)#Ledger (12)#Legal (8)#Lending (14)#LlamaIndex (8)#MCP (22)#MLOps (31)#Machine Learning (32)#Marketing (16)#Markets (4)#Memory (15)#Memory Management (5)#Metrics (6)#Microservices (3)#Microsoft Agent Framework (150)#Middleware (6)#Migration (9)#Monitoring (3)#Multi-Agent (10)#Multi-Agent AI (14)#Multi-Agent Systems (73)#Multimodal (3)#Multimodal AI (8)#NIM (5)#NVIDIA (8)#OAuth (3)#OWASP (7)#Observability (44)#On-Device AI (8)#Open Source (7)#OpenTelemetry (5)#Operating Systems (8)#Operations (10)#Opinion (6)#Orchestration (10)#Organizational Design (8)#Payment Rails (16)#Payments (54)#People (8)#Performance (43)#Platform Engineering (9)#PreSales (8)#Privacy (5)#Privacy Engineering (3)#Process (4)#Product (27)#Product Management (8)#Production (8)#Programming (10)#Programming Languages (48)#Prompt Engineering (66)#Prompt Injection (6)#Protocol Buffers (3)#Protocols (9)#Providers (4)#Pydantic AI (8)#Python (142)#Quality (3)#RAG (58)#RBI (3)#REST (5)#Rails (16)#Reasoning Models (8)#Reconciliation (3)#RegTech (8)#Regulation (9)#Reliability (48)#Resilience (4)#Responsible AI (5)#Retrieval (3)#Risk (13)#Rust (32)#SRE (21)#Sales (9)#Scalability (3)#Security (81)#Security Engineering (8)#Self-Evolving Agents (16)#Sessions (3)#Settlement (9)#Soft Skills (8)#Software (3)#Software Architecture (36)#Software Engineering (144)#Spanner (4)#Startups (30)#Strands (8)#Streaming (28)#Structured Output (4)#Sustainability (8)#System Design (32)#Systems Programming (48)#Testing (49)#Tool Use (22)#Tooling (4)#Tools (3)#Trading (8)#Treasury (6)#Type System (3)#Type Systems (11)#TypeScript (8)#Vector Databases (21)#Vector Search (11)#Venture Capital (8)#Version Control (8)#Web Development (6)#Workflows (14)#gRPC (13)#smolagents (8)
Pratik Dhanave · ·11 min read

The ADK Evaluation Model

Before you can evaluate an agent in Go, you need a mental model of what "evaluating an agent" even means. This post unpacks the conceptual core of Google's Agent Development Kit eval framework — cases, trajectories, metrics, thresholds — the parts that are language-agnostic, so the rest of this series can implement them as plain Go types and functions.

Before you can evaluate an agent in Go, you need a mental model of what "evaluating an agent" even means. This post unpacks the conceptual core of Google's Agent Development Kit eval framework — cases,...

#AI Agents#Evaluation#Go#Google ADK#Backend Engineering
Pratik Dhanave · ·10 min read

Why Evaluating AI Agents Is Hard

The opener to a series on evaluating agents in Go: why an agent isn't a function you can unit-test, why "it worked in the demo" doesn't survive contact with production, and the two things actually worth measuring — the steps it took and the answer it gave.

The opener to a series on evaluating agents in Go: why an agent isn't a function you can unit-test, why "it worked in the demo" doesn't survive contact with production, and the two things actually worth...

#AI Agents#Evaluation#Go#Google ADK#Backend Engineering#Testing
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

Agent Config: Defining an ADK Agent in YAML, No Code Required

How ADK's config loader turns a declarative YAML file into a fully-built agent — and why treating an agent as data changes who gets to edit it.

Defining an agent declaratively in YAML and loading it via from_config — the loader reads, resolves, and validates the config into a built agent, so config-as-data works without writing code.

#Google ADK#AI Agents#Python#Go#Software Engineering#Backend Engineering
Pratik Dhanave · ·5 min read

Context Caching in ADK: Stop Paying for the Same Tokens Every Turn

How caching a large, stable prompt prefix cuts latency and cost — and the ADK config that decides when it pays off.

Context caching cuts latency and cost by caching large, stable context — system prompt, reference docs, tool definitions — so repeated calls don't re-send and re-process the same tokens.

#Google ADK#AI Agents#Python#Go#Software Engineering#Backend Engineering#Prompt Engineering
Pratik Dhanave · ·5 min read

Planners & Thinking: Making an ADK Agent Reason Before It Acts

Post 23 of 26 in "Google ADK, Concept by Concept" — how a planner turns one-shot answers into inspectable plan-then-act reasoning.

Structuring an agent's reasoning: planners that make the model plan-then-act (ReAct-style), the built-in thinking feature, and how a planner improves multi-step tool use over naive prompting.

#Google ADK#AI Agents#Python#Go#Software Engineering#Backend Engineering#Prompt Engineering#Tool Use
Pratik Dhanave · ·6 min read

Grounding & RAG in ADK: Answers Anchored in Real Data

Post 18 of 26 in "Google ADK, Concept by Concept" — retrieval tools, grounding metadata, rendering citations, and the retrieve→augment→generate loop.

Grounding answers in real data: retrieval tools, grounding metadata returned with responses, rendering citations from that metadata, and the retrieve-augment-generate RAG pattern in ADK.

#Google ADK#AI Agents#Python#Go#Software Engineering#Backend Engineering#RAG
Pratik Dhanave · ·5 min read

Observability in ADK: Seeing Inside a Running Agent

How OpenTelemetry traces, structured logs, and token metrics turn an agent's event stream into something you can debug in production.

Seeing inside a running agent: OpenTelemetry tracing with spans for agent, model, and tool steps, structured logging, and exporting traces to debug latency and tool-call trajectories.

#Google ADK#AI Agents#Python#Go#Software Engineering#Backend Engineering#Observability
Pratik Dhanave · ·6 min read

Deploying an ADK Agent: One Command to Cloud Run and Agent Engine

How `adk deploy` builds, pushes, and ships an agent in a single step — and the ack-after-invocation rule that keeps event-driven agents reliable.

Deploying an agent: adk deploy with its cloud_run and agent_engine subcommands, containerizing the app, and reliability rules like ack-after-invocation so failures are redelivered, not dropped.

#Google ADK#AI Agents#Python#Go#Software Engineering#Backend Engineering#Containers
Pratik Dhanave · ·5 min read

Runtime & Events in ADK: The Runner, the Invocation, and the Event Stream

How an agent actually runs — a Runner drives an invocation and hands you back a stream of events, not a single answer.

How ADK runs an agent: the Runner drives an invocation that yields a stream of Event objects — content, tool calls, state deltas, control signals. The event loop explains streaming, callbacks, and state.

#Google ADK#AI Agents#Python#Go#Software Engineering#Backend Engineering#Streaming
Pratik Dhanave · ·5 min read

Context in ADK: The Objects Passed Into Your Tools and Callbacks

ReadonlyContext, CallbackContext, ToolContext, InvocationContext — and why the read-only vs mutable distinction is a feature, not a limitation.

The context objects ADK passes into tools and callbacks — InvocationContext, ToolContext, CallbackContext, ReadonlyContext — what each exposes and why the read-only vs mutable split matters.

#Google ADK#AI Agents#Python#Go#Software Engineering#Backend Engineering
Pratik Dhanave · ·5 min read

Artifacts: Where ADK Agents Put Their Files

Session state is for small text and JSON. When your agent produces a PNG, a PDF, or a WAV, it belongs in the artifact store — binary-native, versioned, and out of the session record.

Artifacts are binary/file data agents produce or consume: ArtifactService saves and versions named artifacts, loaded and saved via context, keeping large blobs out of session state.

#Google ADK#AI Agents#Python#Go#Software Engineering#Backend Engineering
Pratik Dhanave · ·5 min read

Sessions & State in ADK: The Memory Inside a Conversation

A `Session` is the conversation; `state` is the key-value bag agents and tools read and write — and the prefix on a key decides how long it lives.

A Session holds a conversation; state is a scoped key-value store (session/user/app/temp) read and written by tools, injected into instructions via {state} templating, and persisted by SessionService.

#Google ADK#AI Agents#Python#Go#Software Engineering#Backend Engineering
Pratik Dhanave · ·5 min read

Tools in ADK: Turning Functions into Agent Capabilities

How a plain function becomes a callable tool, how ToolContext reaches session state, and how long-running tools pause a run for a human.

Tools give agents capabilities: a plain function becomes a tool with its signature as the schema, plus ToolContext, built-in tools, and long-running/human-in-the-loop tools across Python and Go.

#Google ADK#AI Agents#Python#Go#Software Engineering#Backend Engineering
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

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.