Mixedbread Search Agent

Toast-1 is Mixedbread's search model: a deep search and lookup agent trained end-to-end to gather evidence and answer from it — as a ranked evidence list, ranked evidence plus an answer, or a plain-text answer. It is served over two OpenAI-compatible endpoints, Chat Completions and Responses, and takes two kinds of tools:

• Hosted store tools — search_corpus, grep, filter_chunks, inspect_metadata, get_chunks, list_stores. Opt-in per request; the server runs the whole search loop over your Mixedbread Stores and the request returns with the answer. Use the API reference for their wire contract; the open-source toast-harness illustrates retrieval and orchestration patterns.
• Function tools — ordinary function schemas your application executes and feeds back, so the corpus can live anywhere: Stores, a vector DB, Elasticsearch, SQL, or the filesystem.

With no hosted retrieval or server-side context editing, a request performs one model generation. Custom function calls return to your application for execution.

Docs: https://www.mixedbread.com/docs/agent/chat-completions and https://www.mixedbread.com/docs/agent/responses Harness guide: https://www.mixedbread.com/docs/agent/build-your-own-harness API reference: https://www.mixedbread.com/api-reference/endpoints/chat/create-chat-completion and https://www.mixedbread.com/api-reference/endpoints/responses/create-response Model card: https://www.mixedbread.com/docs/agent/models Agent-readable docs: https://www.mixedbread.com/docs/llms.txt

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