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Together AI

Shanone’s Together AI integration gives your agent 127 tools spanning serverless inference (chat/completions/embeddings/rerank), fine-tuning, batch and evaluation jobs, GPU cluster management, and Dedicated Model Inference (DMI) — a broad surface for teams running their own models on Together’s infrastructure.

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Getting Started

1

Generate an API key

In the Together AI dashboard, go to Settings → API Keys and create a key.
2

Connect the API key in Shanone

Ask your agent to do something with Together AI (e.g. “list the models available for fine-tuning”), or add the API key proactively from Integrations in the Shanone dashboard.
3

Retry your request

Once connected, shanone_execute_tool calls for together_* tools will succeed.

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Available Tools

Shanone provides 127 tools for Together AI, organized into these categories:
together_chat_completion, together_create_completion, together_create_embedding, together_rerank_documents, together_list_models, together_generate_image, together_create_video, together_get_video, together_create_speech, together_transcribe_audio, together_translate_audio
together_create_fine_tuning_job, together_estimate_fine_tuning_price, together_list_fine_tuning_jobs, together_get_fine_tuning_job, together_list_fine_tuning_events, together_list_fine_tuning_checkpoints, together_get_fine_tuning_metrics, together_download_tokenized_dataset, together_download_fine_tuned_model, together_cancel_fine_tuning_job, together_delete_fine_tuning_job, together_get_fine_tuning_model_limits
together_create_batch_job, together_list_batch_jobs, together_get_batch_job, together_cancel_batch_job, together_create_evaluation, together_list_evaluations, together_get_evaluation, together_get_evaluation_status, together_list_evaluation_models, together_execute_code, together_list_code_sessions
together_upload_file, together_list_files, together_get_file, together_get_file_content, together_delete_file
together_create_gpu_cluster, together_list_gpu_clusters, together_get_gpu_cluster, together_update_gpu_cluster, together_delete_gpu_cluster, together_list_cluster_regions, together_create_cluster_storage, together_list_cluster_storages, together_get_cluster_storage, together_update_cluster_storage, together_delete_cluster_storage, together_create_remediation, together_list_remediations, together_get_remediation, together_approve_remediation, together_cancel_remediation, together_reject_remediation
together_dci_create_deployment, together_dci_list_deployments, together_dci_get_deployment, together_dci_update_deployment, together_dci_delete_deployment, together_dci_get_deployment_logs, together_dci_create_secret, together_dci_list_secrets, together_dci_get_secret, together_dci_update_secret, together_dci_delete_secret, together_dci_create_volume, together_dci_list_volumes, together_dci_get_volume, together_dci_update_volume, together_dci_delete_volume, together_dci_download_storage_file, together_dci_submit_queue_job, together_dci_get_queue_job_status, together_dci_cancel_queue_job, together_dci_clear_queue, together_dci_get_queue_metrics
together_dmi_list_adapters, together_dmi_add_adapter, together_dmi_get_adapter, together_dmi_update_adapter, together_dmi_remove_adapter, together_dmi_create_deployment, together_dmi_list_deployments, together_dmi_get_deployment, together_dmi_update_deployment, together_dmi_delete_deployment, together_dmi_create_endpoint, together_dmi_list_endpoints, together_dmi_get_endpoint, together_dmi_update_endpoint, together_dmi_delete_endpoint, together_dmi_list_endpoint_events, together_dmi_get_endpoint_analytics, together_dmi_list_organization_endpoints
together_dmi_create_ab_experiment, together_dmi_list_ab_experiments, together_dmi_get_ab_experiment, together_dmi_update_ab_experiment, together_dmi_delete_ab_experiment, together_dmi_create_shadow_experiment, together_dmi_list_shadow_experiments, together_dmi_get_shadow_experiment, together_dmi_update_shadow_experiment, together_dmi_delete_shadow_experiment, together_dmi_list_shadow_targets, together_dmi_create_shadow_target, together_dmi_get_shadow_target, together_dmi_update_shadow_target, together_dmi_delete_shadow_target, together_dmi_list_supported_models, together_dmi_get_supported_model, together_dmi_list_models, together_dmi_create_model, together_dmi_get_model, together_dmi_update_model, together_dmi_delete_model, together_dmi_list_model_files, together_dmi_list_model_revisions, together_dmi_list_organization_models, together_dmi_create_model_upload, together_dmi_get_model_upload, together_dmi_list_model_upload_events, together_dmi_list_instance_types, together_dmi_list_configs
together_whoami

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Common Use Cases

Chat/completion calls

Run a chat completion against an open model and return the response to the user

Custom model fine-tuning

Upload a training file, launch a fine-tuning job, and poll it until a checkpoint is ready

Dedicated inference ops

Stand up a DMI endpoint for a fine-tuned model and monitor its analytics/events

Batch processing

Submit a large prompt set as a batch job instead of looping single completions

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Troubleshooting

Use together_estimate_fine_tuning_price first — it validates the training file and base model compatibility before you commit to a paid job.
Dedicated Model Inference deployments provision GPU capacity and can take several minutes — poll together_dmi_get_deployment (or together_dci_get_deployment for container-based deployments) rather than assuming failure.
Code interpreter sessions are explicit — use together_list_code_sessions to find or reuse an existing session ID; a fresh call without one starts a brand-new session.
GPU clusters are a scarce, billed resource — check together_list_cluster_regions for availability and confirm your account’s quota before retrying together_create_gpu_cluster.