mirror of https://github.com/google/adk-docs.git synced 2026-09-14 16:16:59 +08:00

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Kristopher Overholt 50f7df7f46 Add Kotlin language support to ADK docs (#1768 )

* Add Kotlin to hero / front page

* Add quickstart page for Kotlin

* Complete Kotlin quickstart guide and fix hero code sample (#2)

* Replace GitHub repo links with language icons in header (#3)

* Fix header icon FOUC and homepage font weight regression (#4)

* Testing staging pipeline

* Revert test edit (for staging pipeline)

* Update language icon tooltips to indicate GitHub destination (#5)

* Add link to ADK Kotlin release notes (#7)

* Initial commit of ADK Kotlin API reference docs (#6)

* Add script to generate ADK Kotlin API reference docs (#8)

* Update links and link checker ignore list (temporarily) (#9)

* Add ADK Kotlin for Android getting started guide to Advanced setup page (#10)

* Add advanced setup page with steps to "Use ADK Kotlin in Android projects"

* Update temp link checker rules

* Add placeholder folder for adk-samples (#13)

* adding linter/compilation checks for kotlin snippets (#12)

* adding linter/compilation checks for kotlin snippets

* Add Kotlin validation scripts

* Initial commit of Kotlin sample agents for adk-samples (#15)

* Adding kotlin snippet for llm agents (#16)

* Adding kotlin snippets to  Events (#17)

* Pull changes to docs/events/index.md from glaforge-kotlin-snippets

* fixing kotlin event timestamp and longRunningToolIds

* Fix language tags (#19)

* Fix language tags

* Update

* Fix wrapping

* Fix wrapping (again)

* Fix wrapping/format

* Fix language tag on integration page

* Enable check_paths in PyMdown Snippets Extension to make the build fail if a snippet can't be found (#20)

* Update mkdocs config (#21)

* Fix broken links, update URLs to adk.dev, and improve (temp) lychee config (#22)

* Add Kotlin/maven badge to README (#23)

* Adding Kotlin snippets for artifacts  (#18)

* Pull Kotlin snippets for artifacts from glaforge-kotlin-snippets

* Add comprehensive Kotlin snippets for artifacts

* Refactor artifacts documentation to use external Kotlin snippets

* Update Kotlin model to gemini-flash-latest

* Fix GCS initialization in Kotlin artifact snippet

* afixi failing test with capital-agent added to files_to_check

* Fix snippet label syntax for MkDocs build

* Configure proper Gradle project for Kotlin snippets and fix dependencies

* Add KSP support and generated sources to Kotlin snippets build

* fixing capital_agent turnComplete

* Fix syntax error in build.gradle.kts by removing invalid placeholders (#25)

* Adding Kotlin snippets to google-gemini.md (#27)

Pulling kotlin changes to google-gemini.md from glaforge-kotlin-snippets

* Add a warning about not adding an api key to production code. (#28)

* Add a warning about not adding an api key to production code.

* Update note

---------

Co-authored-by: Kristopher Overholt <koverholt@google.com>

* Add ADK Demo App sample showcasing Gemini-powered agents (#29)

This sample demonstrates how to use the Google ADK (Agent Development Kit) in an Android application to create a chat interface powered by a Gemini-based "Fun Facts" agent. The implementation features:
*   Integration with the Kotlin ADK core and processor libraries.
*   A `FunFactsAgent` defined using `LlmAgent` and the Gemini model.
*   A `ChatViewModel` utilizing `InMemoryRunner` for asynchronous message streaming.
*   A modern UI built with Jetpack Compose and Material 3.
*   Build configuration logic for secure API key management via environment variables or `local.properties`.

* Update Kotlin docs and samples to align with adk-kotlin API changes (#30)

Rename GeminiModel to Gemini, @AdkTool/@AdkParam to @Tool/@Param,
adkTools() to generatedTools(), replace DebugRunner with InMemoryRunner,
fix AgentLoader import path, use SingleAgentLoader, bump Kotlin to
2.3.21 and KSP to 2.3.7, and update Android minSdk from 24 to 26.

* adding kotlin info to READMEs (#14)

* Reorganize Android sample agent and add READMEs (#31)

* Move Android sample agent

* Update repo README, add Android README, update sample agent README

* Minor edit to language support tags (#32)

* Remove blog post link (#33)

Will re-add after it's published

* Remove examples link (#34)

* Adding Kotlin snippets for Sessions docs (#26)

* initial kotlins snippets additions to sessions docs

* Updating memory docs with kotlin snippets

* Adding kotlin snippets to session state docs.

* update model to gemini-flash-latest

* sessions examples clean-up

* fixing sessions snippet markers

* adding kotlin session snippets to files to test

* adding callback to memory_example

* Fixing capital agent snippet  (#35)

Fixing file name
Updating adkTool > Tool
Updating GeminiModel > Gemini

* Adding kotlin snippets for tools docs (#36)

* adding function tool kotlin snippets

* adding function_tools snippets to files to test

* Adding kotlin snippets to observability docs (#37)

* initial kotlin observability updates

* adding observability snippets to file check (#38)

* Adding Kotlin snippets to Callbacks docs (#39)

*  kotlin callbacks snippets

* adding callbacks snippets to file check

* Align Kotlin and KSP versions with published 0.1.0 artifacts (#40)

* switch CLI entry points from InMemoryRunner to ReplRunner (#41)

* Switch CLI entry points from InMemoryRunner to ReplRunner

* Fix wording

* Update API reference docs for Kotlin, 2026-05-18 (#42)

* Remove ADK on Android note until published (#43)

* Update Kotlin code samples (#44)

* Rename GeminiModel to Gemini in Kotlin snippets and docs

* Remove broken SessionKey call and use sessionId directly in AgentTool snippet

* Rewrite Go hero snippet to use llmagent API

* Use isFinalResponse with safe access in CapitalAgent snippet

* Use Role.USER constant instead of raw string in SetupExample

* Use full semver v0.1.0 in Kotlin language support tags

* Remove Android setup steps, moving to new property (#45)

* Tutorial Kotlin agent (#46)

* Adding multi-tool-agent snippet and updating tutorial
* Fixing Go language order on tutorial page
* adding multi tool agent example to files to test

* Inline Kotlin get-started code sample

* Kotlin Multi agents snippets (#47)

* Multi-agent kotlin snippets

* Fixing docs tags in multiagent example

* Fix Kotlin language support tags, code samples, and google-gemini.md cleanup (#48)

* Add Kotlin v0.1.0 to language support tags across docs

* Fix MultiToolAgent.kt model string and argument style

* Update MultiAgentExample.kt to use gemini-flash-latest model string

* Fix google-gemini.md: add Kotlin sample, remove unsupported Java tabs

* Remove explicit apiKey from CallbackBasic.kt for consistency

* Standardize Gemini() constructor to use named args in all snippets

* Remove adk-samples directory (moved to google/adk-samples#1969)

* Remove adk-samples directory (moved to google/adk-samples#1969) (#49)

* Update API reference docs for ADK Kotlin 0.1.0 (#50)

* Remove adk-samples directory (moved to google/adk-samples#1969)

* Update API reference docs for ADK Kotlin 0.1.0

* Remove kotlin lycheeignore config (#51)

* Remove adk-samples directory (moved to google/adk-samples#1969)

* Remove Kotlin .lycheeignore config links

---------

Co-authored-by: Toni Klopfenstein <2359976+ToniCorinne@users.noreply.github.com>
Co-authored-by: Jolanda Verhoef <JolandaVerhoef@users.noreply.github.com>

2026-05-19 11:43:42 -05:00

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Datadog

Develop, evaluate, and monitor LLM applications

/integrations/assets/datadog.png

observability

Datadog Observability for ADK

Supported in ADKPython

Datadog LLM Observability helps AI engineers, data scientists, and application developers quickly develop, evaluate, and monitor LLM applications. Confidently improve output quality, performance, costs, and overall risk with structured experiments, end-to-end tracing across AI agents, and evaluations.

Overview

Datadog LLM Observability can automatically instrument and trace your agents built on Google ADK, allowing you to:

Observe agent executions and interactions - Automatically capture every agent run, tool call, and code execution within your agents
Capture LLM calls and responses made with the underlying Google GenAI SDK
Debug issues by providing error rates, token usage and cost, and out-of-the-box evaluations on your LLM calls and tool usage

Prerequisites

Installation

Install the required packages:

pip install ddtrace

Setup

Create an Application using ADK

If you do not have an application using ADK, follow the steps in the ADK Getting Started Guide to create a sample ADK agent.

Configure Environment Variables

You will need to specify an ML Application name in the following environment variables. An ML Application is a grouping of LLM Observability traces associated with a specific LLM-based application. See ML Application Naming Guidelines for more information on limitations with ML Application names.

export DD_API_KEY=<YOUR_DD_API_KEY>
export DD_SITE=<YOUR_DD_SITE>
export DD_LLMOBS_ENABLED=true
export DD_LLMOBS_ML_APP=<YOUR_ML_APP_NAME>
export DD_LLMOBS_AGENTLESS_ENABLED=true
export DD_APM_TRACING_ENABLED=false  # Only set this if you are not using Datadog APM

These variables must be exported before running your application so the following ddtrace-run command can use them, as opposed to putting them in the agent's .env file.

Run Your Application

Once you have configured your environment variables, you can run your application and start observing your LLM-based applications.

ddtrace-run adk run my_agent

Observe

Navigate to the Datadog LLM Observability Traces View to see the traces generated by your application.

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