Amaad Martin
c75e61f5f3
The site rendered one language under two names. Tab labels were split 137 `TypeScript` / 53 `Typescript`, with three pages carrying both spellings at once (custom-agents.md 7/7, patterns.md 1/7, function-tools.md 4/1), and the language-support badges were split 67/18 the same way. Because pymdownx.tabbed slugifies tab labels to lowercase, both variants rendered and linked fine, so no link check or build warning ever flagged it -- it was visible only to readers, as two names for one SDK. Every user-visible occurrence is normalized to `TypeScript`, plus the two inconsistencies that turned up while doing it. 80 changed lines, accounted for exactly: 53 tab label === "Typescript" -> === "TypeScript" 18 badge span lst-typescript">Typescript -> TypeScript 3 prose mention cloud-run.md, mcp-tools.md, workflows/patterns.md 2 api-reference/index.md card heading and link text 1 badge div attr title="...Python and Typescript." 1 mkdocs.yml nav Typescript ADK -> TypeScript ADK 1 code fence ```javascript -> ```typescript on a .ts include 1 artifacts/index.md closing summary sentence --- 80 The first six rows are pure casing: 78 lines that differ from their originals by nothing but `Typescript` -> `TypeScript`. The last two are not, and are the reason this is not a `sed`: llm-agents.md:872 fenced `--8<-- ".../capital_agent.ts"` as ```javascript. It was the only javascript-fenced `.ts` include in docs/ (the other 189 TypeScript fences are correct), and it cost that one snippet its TypeScript highlighting. artifacts/index.md:1084 closed the page by naming languages and got the list wrong. It described reaching the artifact methods "using Python's context objects or directly interacting with the `BaseArtifactService` in Java" -- a two-language enumeration at the end of a page that carries Python, TypeScript, Go, Java and Kotlin tabs (11/10/10/10/11), and one that contradicts :556, which correctly names four of them. The enumeration is dropped rather than extended: the sentence now describes the two ways to reach these methods -- through the context object, or through `BaseArtifactService` -- which is what the page actually teaches and does not rot when a sixth language is added. docs/api-reference/index.md is included even though the rest of docs/api-reference/ is generated output that must not be touched. That tree holds 3,140 generated HTML files and exactly one hand-authored page: this one. It is Markdown, it is the only api-reference entry mkdocs.yml lists as `.md` rather than `index.html` (:272, :441), it uses Material `grid cards` and `:fontawesome-*:` shortcodes, and it carries a `CONTRIBUTORS:` note citing issues #1716 and #1717. Its TypeScript card already said "TypeScript" twice in its body text while its heading and link text said "Typescript"; those two are now consistent with the body. No generated file is modified. Not in this change: the broken `SseConnectionParams` sample in mcp-tools.md (docs-ts/p6c-mcp-ts-sample) and the `@google/adk` example version bumps (docs-ts/p6b-example-versions). Only the casing of the prose line above that sample is touched here. Verified: `mkdocs build` exits 0 with an empty warning set on both main and this branch, and the two warning sets are identical. A rendered before/after diff of the whole site shows every `__tabbed_*` id, every tab radio id and every heading anchor unchanged. Zero `=== "Typescript"` and zero `lst-typescript">Typescript` remain anywhere in the repo. Co-authored-by: Amaad Martin <amaadmartin@google.com>
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AI Models for ADK agents
Agent Development Kit (ADK) is designed for flexibility, allowing you to integrate various Large Language Models (LLMs) into your agents. This section details how to leverage Gemini and integrate other popular models effectively, including those hosted externally or running locally.
ADK provides several mechanisms for model integration:
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Direct String / Registry: For models tightly integrated with Google Cloud, such as Gemini models accessed via Google AI Studio or Agent Platform, or models hosted on Agent Platform endpoints. You access these models by providing the model name or endpoint resource string and ADK's internal registry resolves this string to the appropriate backend client.
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Model connectors: For broader compatibility, especially models outside the Google ecosystem or those requiring specific client configurations, such as models accessed via Apigee or LiteLLM. You instantiate a specific wrapper class, such as
ApigeeLlmorLiteLlm, and pass this object as themodelparameter to yourLlmAgent. -
Model routing: For dynamically selecting between multiple models at runtime using a router function, with automatic failover on error.