Managed LLM APIs in Prompts
These hosted LLM providers plug into Label Studio Enterprise Prompts so you can generate, evaluate, and compare model outputs directly in your projects
Managed LLM APIs in Prompts Integrations
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AnthropicBuilding safe, reliable, and steerable artificial intelligence
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CohereFoundational models and AI solutions
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GeminiA family of advanced AI models that power a suite of AI features across Google products.
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Mistral AIHigh-performance open-weight language models.
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OpenAIProvides powerful language and vision models through hosted APIs.
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Vertex AIEnterprise ready, fully-managed, unified AI development platform
Label Studio Enterprise connects directly to hosted LLM providers through the Prompts interface, so your teams can call models from OpenAI, Google, Anthropic, and more without leaving the platform. Once you add provider API keys, these models appear in the Prompts UI for assisted labeling, prompt iteration, and structured evaluation. This makes it easy to compare providers, tune prompts, and turn real project data into better LLM workflows.
Managed LLM APIs in Prompts Integrations
results for integrations with “ ”
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Anthropic
Building safe, reliable, and steerable artificial intelligence
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Cohere
Foundational models and AI solutions
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Gemini
A family of advanced AI models that power a suite of AI features across Google products.
-
Mistral AI
High-performance open-weight language models.
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OpenAI
Provides powerful language and vision models through hosted APIs.
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Vertex AI
Enterprise ready, fully-managed, unified AI development platform
Do you have an idea for a new integration?
or reach out to community@labelstud.io .
Other Integrations
results for integrations with “”
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Amazon SageMakerIntegrate Label Studio with AWS SageMaker
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BaalLibrary to enable Bayesian active learning
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EasyOCROptical Character Recognition (OCR) engine
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GalileoUncover data issues and errors
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Hugging FaceLabel Studio in Hugging Face Spaces
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LangChainEvaluate LLM Output Quality
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Lightly.aiActive learning for data management
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OpenMMLabBounding box image labeling
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PyTorchOpen source machine learning framework
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Scikit LearnMachine learning toolkit
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TensorFlowOpen source deep learning framework
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Unstructured.ioUnstructured data ingestion and preprocessing
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WatsonxA suite of foundation models for natural language and multimodal AI tasks
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ZenMLExtensible MLOps framework
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spaCyOpen-source software library for advanced natural language processing
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FlairNamed entity recognition
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Grounding DINOText-Driven Object Detection Model
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Nvidia NeMoAutomated audio transcription
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Segment Anything ModelImage Segmentation Model
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TesseractAutomated bounding box OCR
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Ultralytics YOLOComputer vision models
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Azure Blob StorageAzure cloud storage for data labeling
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Google Cloud StorageGoogle cloud storage for data labeling
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PachydermAutomated versioning for data labeling
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RedisHigh-speed cache for annotation data
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S3AWS cloud storage for data labeling
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Azure Blob with Managed IdentitySecure, flexible authentication for Azure.
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DatabricksUnify your data and AI
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GCS with Workload Identity FederationKeyless, short-lived access to storage
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S3 with IAM rolesA secure way to move data in and out of projects
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DockerContainer installation of Label Studio
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KubernetesInfrastructure to deploy and scale Label Studio
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TerraformAutomated installation
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PostgreSQLAdvanced relational storage for data annotations
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SQLiteDefault embedded database in Label Studio
Do you have an idea for a new integration?
or reach out to community@labelstud.io.
0 results for integrations with “”
Do you have an idea for a new integration?
or reach out to community@labelstud.io.