Run Together AI chat, embeddings and images; manage fine-tunes, batches and endpoints.
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Scored across 23 tools
Each tool targets a distinct resource+action (batch, fine-tune, endpoint, file, inference, model/hardware), and descriptions clarify overlaps. Minor potential confusion between create_endpoint (auto-starts) and start_endpoint, and between the several fine-tune lifecycle tools, but these are well explained.
Consistent together_ prefix with snake_case verb_noun structure throughout (create/get/list/cancel/start/stop). Minor deviations: plural list_batches/list_fine_tunes vs singular get_batch, and whoami lacks a verb_noun shape, but overall predictable.
23 tools is slightly heavy but justified by the breadth of the Together platform (batches, fine-tunes, endpoints, files, inference, models, hardware). Each tool maps to a real API operation, so no filler is present.
Core inference and endpoint lifecycle are well covered, but there is no file upload tool even though fine-tunes and batch jobs explicitly depend on uploaded files—a real dead end. Evaluations can only be listed (no create), and there are no delete/update operations for batches, files, or endpoints.
Manage your Mistral platform — models, files, batch jobs, agents and RAG document libraries.
Run AI models, create deployments, and manage predictions via cloud API
LLM chat, text tools, image generation, editing, batch image jobs, and asynchronous video generation
Chat with any LLM, generate images, browse models and check your usage and costs.
Add one secure layer between your agents and this server.