docs: Add Cencori as community adapter #223
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- Add docs/community-adapters/cencori.md with usage examples - Update docs/config.json to include Cencori in sidebar Cencori provides access to 14+ AI providers (OpenAI, Anthropic, Google, xAI, DeepSeek, etc.) through a unified interface with built-in security, observability, and cost tracking. npm package: @cencori/ai-sdk
📝 WalkthroughWalkthroughAdds a new community adapter documentation page for the Cencori TanStack AI adapter and updates the docs navigation to include the new entry under "Community Adapters". Changes
Sequence Diagram(s)(omitted — changes are documentation and site config only) Estimated code review effort🎯 2 (Simple) | ⏱️ ~10 minutes Possibly related PRs
Suggested reviewers
Poem
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Actionable comments posted: 1
🤖 Fix all issues with AI agents
In @docs/community-adapters/cencori.md:
- Around line 68-91: The example imports an unused symbol text and
inconsistently calls adapter.chatStream() instead of using the text() helper
used elsewhere; either remove the unused import (delete the text import line)
and keep adapter.chatStream() as-is, or refactor to call text({ model: adapter
}) (or the pattern used in other docs) and pass tools via the text() options so
tool definitions and streaming behave consistently with other examples; update
the example to ensure only one of these approaches is used and no unused imports
remain.
📜 Review details
Configuration used: defaults
Review profile: CHILL
Plan: Pro
📒 Files selected for processing (2)
docs/community-adapters/cencori.mddocs/config.json
🔇 Additional comments (4)
docs/config.json (1)
164-167: LGTM!The new Cencori entry follows the established pattern for community adapters, is correctly placed in alphabetical order, and the path correctly references the new documentation file.
docs/community-adapters/cencori.md (3)
118-128: Verify model names are accurate and up-to-date.Model availability and naming conventions change frequently across providers. Consider verifying these model identifiers match what's actually available through the Cencori platform to avoid user confusion.
1-45: Well-structured documentation for the community adapter.The documentation follows a logical progression from installation through basic usage to advanced features. The code examples are clear and consistent with TanStack AI patterns.
176-178: All external Cencori URLs referenced in the documentation are accessible and functioning correctly.
docs/community-adapters/cencori.md
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| ## Streaming | ||
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| ```typescript | ||
| import { text } from "@tanstack/ai"; |
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text doesn't exist, it should be chat
AlemTuzlak
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AlemTuzlak
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just change the non-existant API
| import { text } from "@tanstack/ai"; | ||
| import { cencori } from "@cencori/ai-sdk/tanstack"; | ||
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| const adapter = cencori("gpt-4o"); | ||
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| for await (const chunk of text({ | ||
| adapter, | ||
| messages: [{ role: "user", content: "Hello!" }], | ||
| })) { | ||
| if (chunk.type === "content") { | ||
| console.log(chunk.delta); | ||
| } | ||
| } |
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this should be changed to chat
docs/community-adapters/cencori.md
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| for await (const chunk of adapter.chatStream({ | ||
| messages: [{ role: "user", content: "What's the weather in NYC?" }], | ||
| tools: { | ||
| getWeather: { | ||
| name: "getWeather", | ||
| description: "Get weather for a location", | ||
| inputSchema: { | ||
| type: "object", | ||
| properties: { location: { type: "string" } }, | ||
| }, | ||
| }, | ||
| }, | ||
| })) { |
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this should probably use the chat method from tanstack ai instead of loop over the adapter directly
3 participants
Summary
Adds Cencori as a community adapter for TanStack AI.
Changes
docs/community-adapters/cencori.mdwith usage examplesdocs/config.jsonto include Cencori in sidebar navigationAbout Cencori
Cencori provides access to 14+ AI providers (OpenAI, Anthropic, Google, xAI, DeepSeek, etc.) through a unified interface with:
npm:
@cencori/ai-sdkWebsite: https://cencori.com
Summary by CodeRabbit
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