# Tensormesh User Documentation

## Docs

- [Additional Resources](https://docs.tensormesh.ai/additional-resources.md): Helpful links and documentation to enhance your Tensormesh experience
- [API Quickstart](https://docs.tensormesh.ai/api-quickstart.md): Make a first successful raw Control Plane and Inference API request with explicit credentials or the CLI-managed local setup.
- [API & SDK Reference](https://docs.tensormesh.ai/api-reference/introduction.md): Complete API and SDK reference for the Tensormesh Inference Gateway and Control Plane APIs.
- [On-Demand Chat Completions](https://docs.tensormesh.ai/api-reference/on-demand.md): Near-compatible chat completions endpoint on the routed Tensormesh On-Demand host.
- [On-Demand Text Completions](https://docs.tensormesh.ai/api-reference/on-demand/completions.md): Create text completions on the selected Tensormesh On-Demand host.
- [On-Demand Detokenize](https://docs.tensormesh.ai/api-reference/on-demand/detokenize.md): Convert token ids back to text with the selected Tensormesh On-Demand host.
- [On-Demand Health](https://docs.tensormesh.ai/api-reference/on-demand/health.md): Read the selected Tensormesh On-Demand health endpoint.
- [On-Demand Models](https://docs.tensormesh.ai/api-reference/on-demand/models.md): List models from the selected Tensormesh On-Demand host.
- [On-Demand Responses](https://docs.tensormesh.ai/api-reference/on-demand/responses.md): Create responses on the selected Tensormesh On-Demand host.
- [On-Demand Tokenize](https://docs.tensormesh.ai/api-reference/on-demand/tokenize.md): Tokenize text with the selected Tensormesh On-Demand host.
- [On-Demand Version](https://docs.tensormesh.ai/api-reference/on-demand/version.md): Read the selected Tensormesh On-Demand version endpoint.
- [Serverless Chat Completions](https://docs.tensormesh.ai/api-reference/serverless.md): OpenAI-compatible chat completions endpoint on the public Tensormesh Serverless host.
- [Serverless Text Completions](https://docs.tensormesh.ai/api-reference/serverless/completions.md): Create text completions on the verified Tensormesh Serverless host.
- [Serverless Detokenize](https://docs.tensormesh.ai/api-reference/serverless/detokenize.md): Convert token ids back to text with the verified Tensormesh Serverless host.
- [Serverless Health](https://docs.tensormesh.ai/api-reference/serverless/health.md): Read the verified Tensormesh Serverless health endpoint.
- [Serverless Models](https://docs.tensormesh.ai/api-reference/serverless/models.md): List models from the verified Tensormesh Serverless host.
- [Serverless Responses](https://docs.tensormesh.ai/api-reference/serverless/responses.md): Create responses on the verified Tensormesh Serverless host.
- [Serverless Tokenize](https://docs.tensormesh.ai/api-reference/serverless/tokenize.md): Tokenize text with the verified Tensormesh Serverless host.
- [Serverless Version](https://docs.tensormesh.ai/api-reference/serverless/version.md): Read the verified Tensormesh Serverless version endpoint.
- [Billing & Cost Savings](https://docs.tensormesh.ai/billing-and-savings.md): Manage your credits, track daily usage, and monitor your efficiency.
- [Changelog](https://docs.tensormesh.ai/changelog.md): Latest updates, new features, and improvements to Tensormesh.
- [Admin Workflows](https://docs.tensormesh.ai/cli/guides/admin-workflows.md): Common entry points for admin-only CLI operations.
- [Authentication](https://docs.tensormesh.ai/cli/guides/authentication.md): Sign in to the Tensormesh Control Plane and manage local auth state.
- [Config And Environment](https://docs.tensormesh.ai/cli/guides/config-and-env.md): Control how the Tensormesh CLI resolves config, env vars, and managed synced state.
- [Control Plane Workflows](https://docs.tensormesh.ai/cli/guides/control-plane-workflows.md): Common non-admin Control Plane tasks for API keys, billing, tickets, logs, and metrics.
- [First On-Demand Inference Request](https://docs.tensormesh.ai/cli/guides/first-request.md): Send a first chat request through the Tensormesh On-Demand inference flow.
- [Getting Started](https://docs.tensormesh.ai/cli/guides/getting-started.md): Reach a first successful Tensormesh CLI request with a clear choice between Serverless and On-Demand.
- [Installation](https://docs.tensormesh.ai/cli/guides/installation.md): Install the Tensormesh Python package, then verify the bundled `tm` CLI with `tm version`.
- [Production Scripting](https://docs.tensormesh.ai/cli/guides/production-scripting.md): Use the Tensormesh CLI safely from CI, shell scripts, and operational automation.
- [Troubleshooting](https://docs.tensormesh.ai/cli/guides/troubleshooting.md): Diagnose the most common CLI setup, auth, and gateway issues.
- [Tensormesh CLI](https://docs.tensormesh.ai/cli/index.md): Guides and command reference for the `tm` CLI.
- [tm activities](https://docs.tensormesh.ai/cli/reference/activities/index.md): Activities (Control Plane).
- [tm admin billing](https://docs.tensormesh.ai/cli/reference/admin/billing/index.md): Admin billing tools.
- [tm admin](https://docs.tensormesh.ai/cli/reference/admin/index.md): Admin-only commands (Control Plane).
- [tm admin models](https://docs.tensormesh.ai/cli/reference/admin/models/index.md): Admin model tools.
- [tm admin products](https://docs.tensormesh.ai/cli/reference/admin/products/index.md): Admin product tools.
- [tm admin users](https://docs.tensormesh.ai/cli/reference/admin/users/index.md): Admin user tools.
- [tm auth](https://docs.tensormesh.ai/cli/reference/auth/index.md): Authenticate to the Tensormesh Control Plane.
- [tm auth login](https://docs.tensormesh.ai/cli/reference/auth/login.md): Login via browser and store Control Plane tokens.
- [tm auth status](https://docs.tensormesh.ai/cli/reference/auth/status.md): Show local Control Plane and Gateway auth status.
- [tm auth whoami](https://docs.tensormesh.ai/cli/reference/auth/whoami.md): Show the authenticated Control Plane user profile.
- [tm billing](https://docs.tensormesh.ai/cli/reference/billing/index.md): Billing and usage (Control Plane).
- [tm billing pricing serverless list](https://docs.tensormesh.ai/cli/reference/billing/pricing/serverless/list.md): List serverless pricing (GET /v1/billing/serverless-pricing).
- [tm completion](https://docs.tensormesh.ai/cli/reference/completion.md): Print a shell completion script for Bash/Zsh/Fish.
- [tm config](https://docs.tensormesh.ai/cli/reference/config/index.md): Manage Tensormesh CLI configuration.
- [tm config show](https://docs.tensormesh.ai/cli/reference/config/show.md): Print resolved configuration (secrets redacted).
- [tm doctor](https://docs.tensormesh.ai/cli/reference/doctor.md): Diagnose configuration and credentials.
- [tm](https://docs.tensormesh.ai/cli/reference/index.md): Tensormesh command-line interface.
- [tm infer chat](https://docs.tensormesh.ai/cli/reference/infer/chat.md): Call POST /v1/chat/completions on On-Demand or Serverless inference.
- [tm infer doctor](https://docs.tensormesh.ai/cli/reference/infer/doctor.md): Inspect inference readiness for the next request.
- [tm infer](https://docs.tensormesh.ai/cli/reference/infer/index.md): Inference commands for shared serverless and On-Demand OpenAI-compatible endpoints.
- [tm init](https://docs.tensormesh.ai/cli/reference/init.md): Guide first-time CLI setup for Control Plane and Gateway workflows.
- [tm logs](https://docs.tensormesh.ai/cli/reference/logs.md): Fetch deployment logs (GET /v1/observability/deployments/{deploymentId}/logs).
- [tm metrics](https://docs.tensormesh.ai/cli/reference/metrics/index.md): Observability metrics (Control Plane).
- [tm models](https://docs.tensormesh.ai/cli/reference/models/index.md): Control Plane model resources.
- [tm products](https://docs.tensormesh.ai/cli/reference/products/index.md): Products (Control Plane).
- [tm reserved-deployments](https://docs.tensormesh.ai/cli/reference/reserved-deployments/index.md): Reserved deployments (Support; Control Plane).
- [tm tickets](https://docs.tensormesh.ai/cli/reference/tickets/index.md): Support tickets (Control Plane).
- [tm users](https://docs.tensormesh.ai/cli/reference/users/index.md): User profile resources (Control Plane).
- [tm version](https://docs.tensormesh.ai/cli/reference/version.md): Show CLI version and runtime details.
- [Introduction to Tensormesh](https://docs.tensormesh.ai/introduction-tensormesh.md): Welcome to Tensormesh, the high-performance AI inference platform.
- [Demos](https://docs.tensormesh.ai/lab-demos.md): Run interactive benchmark demos to test model serving performance and observe KV cache acceleration in real time.
- [Managing Deployed Models](https://docs.tensormesh.ai/manage-models.md): Monitor, configure, and optimize your deployed LLM models
- [Model Chatbot](https://docs.tensormesh.ai/model-chatbot.md): Interact with deployed models and run performance tests.
- [Model Deployment](https://docs.tensormesh.ai/model-deployment.md): Deploy and scale LLMs with flexible on-demand GPU resources.
- [Observability & Metrics](https://docs.tensormesh.ai/monitor-performance.md): Track and optimize your LLM deployment with key performance metrics
- [Pricing Overview](https://docs.tensormesh.ai/pricing-overview.md): Transparent, usage-based pricing aligned with your success
- [Quickstart](https://docs.tensormesh.ai/quickstart.md): Setting up your Tensormesh account and API access.
- [Auth And Config](https://docs.tensormesh.ai/sdk/guides/auth-and-config.md): Understand Tensormesh SDK auth, environment variables, and the difference between serverless, on-demand, and control-plane usage.
- [Control Plane](https://docs.tensormesh.ai/sdk/guides/control-plane.md): Use the Tensormesh Python SDK for users, models, billing, support, observability, and pagination-aware workflows.
- [Getting Started](https://docs.tensormesh.ai/sdk/guides/getting-started.md): Make a first successful Tensormesh SDK request with the sync or async client.
- [Inference](https://docs.tensormesh.ai/sdk/guides/inference.md): Use Tensormesh serverless and on-demand inference endpoints from the Python SDK, including streaming and raw responses.
- [Migration From OpenAI And Fireworks](https://docs.tensormesh.ai/sdk/guides/migration-from-openai-fireworks.md): What changes when moving an existing OpenAI- or Fireworks-style chat integration onto the current Tensormesh SDK surface.
- [Tensormesh Python SDK](https://docs.tensormesh.ai/sdk/index.md): Overview, install guidance, and the main client surfaces for the Tensormesh Python SDK.
- [Serverless Inference](https://docs.tensormesh.ai/serverless-deployment.md): Run any model via API — no servers, no setup. Pay only for the tokens you use.
- [Choose A Serverless Model Name](https://docs.tensormesh.ai/serverless-model-selection.md): How to think about Tensormesh serverless model names before sending your first request.
- [Support & Community](https://docs.tensormesh.ai/support-community.md): Get help through support tickets or join our Slack community
- [Activities](https://docs.tensormesh.ai/tensormesh-api/activity/v1/activity_service.md): Activity listing and detail reads from the Control Plane.
- [Get Activity](https://docs.tensormesh.ai/tensormesh-api/activity/v1/activity_service/activityservice/get-activity.md): Retrieves an activity event by ID.
- [List Activities](https://docs.tensormesh.ai/tensormesh-api/activity/v1/activity_service/activityservice/list-activities.md): Lists activity events with optional filters.
- [Admin Billing](https://docs.tensormesh.ai/tensormesh-api/billing/v1/admin_billing_service.md): Admin-only balance and spending summary operations.
- [Add User Balance](https://docs.tensormesh.ai/tensormesh-api/billing/v1/admin_billing_service/adminbillingservice/add-user-balance.md): Increments a user's balance by a specific amount.
- [Get Users Balance](https://docs.tensormesh.ai/tensormesh-api/billing/v1/admin_billing_service/adminbillingservice/get-users-balance.md): Retrieves current balances for multiple users.
- [Get Users Spending Summary](https://docs.tensormesh.ai/tensormesh-api/billing/v1/admin_billing_service/adminbillingservice/get-users-spending-summary.md): Returns rolling-window spending totals.
- [Admin List Serverless Pricing](https://docs.tensormesh.ai/tensormesh-api/billing/v1/admin_pricing_service/pricingservice/admin-list-serverless-pricing.md)
- [Delete GPU Pricing](https://docs.tensormesh.ai/tensormesh-api/billing/v1/admin_pricing_service/pricingservice/delete-gpu-pricing.md)
- [Delete Serverless Pricing](https://docs.tensormesh.ai/tensormesh-api/billing/v1/admin_pricing_service/pricingservice/delete-serverless-pricing.md)
- [Insert GPU Pricing](https://docs.tensormesh.ai/tensormesh-api/billing/v1/admin_pricing_service/pricingservice/insert-gpu-pricing.md)
- [Insert Serverless Pricing](https://docs.tensormesh.ai/tensormesh-api/billing/v1/admin_pricing_service/pricingservice/insert-serverless-pricing.md)
- [Update GPU Pricing](https://docs.tensormesh.ai/tensormesh-api/billing/v1/admin_pricing_service/pricingservice/update-gpu-pricing.md)
- [Update Serverless Pricing](https://docs.tensormesh.ai/tensormesh-api/billing/v1/admin_pricing_service/pricingservice/update-serverless-pricing.md)
- [Admin List Products](https://docs.tensormesh.ai/tensormesh-api/billing/v1/admin_product_service/productservice/admin-list-products.md)
- [Upsert Product](https://docs.tensormesh.ai/tensormesh-api/billing/v1/admin_product_service/productservice/upsert-product.md)
- [Billing Addresses](https://docs.tensormesh.ai/tensormesh-api/billing/v1/billing_address_service.md): Read and update the billing address for the current user.
- [Get Billing Address](https://docs.tensormesh.ai/tensormesh-api/billing/v1/billing_address_service/billingaddressservice/get-billing-address.md): Retrieves the billing address for a user.
- [Update Billing Address](https://docs.tensormesh.ai/tensormesh-api/billing/v1/billing_address_service/billingaddressservice/update-billing-address.md): Updates the billing address for a user.
- [Deploy Model](https://docs.tensormesh.ai/tensormesh-api/billing/v1/billing_model_service/billingmodelservice/deploy-model.md): Provisions a model after billing checks and forwards to ModelService.
- [Model Check](https://docs.tensormesh.ai/tensormesh-api/billing/v1/billing_model_service/billingmodelservice/model-check.md): Returns model memory requirements used for billing and scheduling checks.
- [Transactions](https://docs.tensormesh.ai/tensormesh-api/billing/v1/billing_transaction_service.md): Spending history, spending summary, and billing transaction reads.
- [Get User Spending History](https://docs.tensormesh.ai/tensormesh-api/billing/v1/billing_transaction_service/billingtransactionservice/get-user-spending-history.md): Returns last month spending buckets.
- [Get User Spending Summary](https://docs.tensormesh.ai/tensormesh-api/billing/v1/billing_transaction_service/billingtransactionservice/get-user-spending-summary.md): Returns rolling-window spending totals.
- [List Billing Transactions](https://docs.tensormesh.ai/tensormesh-api/billing/v1/billing_transaction_service/billingtransactionservice/list-billing-transactions.md): Lists a user's billing transactions.
- [Pricing](https://docs.tensormesh.ai/tensormesh-api/billing/v1/pricing_service.md): Pricing lookups plus admin pricing operations for GPU and serverless billing.
- [List GPU Pricing](https://docs.tensormesh.ai/tensormesh-api/billing/v1/pricing_service/pricingservice/list-gpu-pricing.md)
- [List Serverless Pricing](https://docs.tensormesh.ai/tensormesh-api/billing/v1/pricing_service/pricingservice/list-serverless-pricing.md)
- [Products](https://docs.tensormesh.ai/tensormesh-api/billing/v1/product_service.md): Public product listing plus admin product management.
- [Delete Product](https://docs.tensormesh.ai/tensormesh-api/billing/v1/product_service/productservice/delete-product.md)
- [List Available Products](https://docs.tensormesh.ai/tensormesh-api/billing/v1/product_service/productservice/list-available-products.md)
- [Stripe](https://docs.tensormesh.ai/tensormesh-api/billing/v1/stripe_service.md): Customer, payment method, payment intent, and setup intent operations.
- [Attach Stripe Payment Method](https://docs.tensormesh.ai/tensormesh-api/billing/v1/stripe_service/stripeservice/attach-stripe-payment-method.md): Attaches a payment method to a customer.
- [Confirm Stripe Payment Intent](https://docs.tensormesh.ai/tensormesh-api/billing/v1/stripe_service/stripeservice/confirm-stripe-payment-intent.md): Confirms a payment intent after client confirmation.
- [Create Stripe Payment Intent](https://docs.tensormesh.ai/tensormesh-api/billing/v1/stripe_service/stripeservice/create-stripe-payment-intent.md): Creates a Stripe payment intent for a user.
- [Create Stripe Setup Intent](https://docs.tensormesh.ai/tensormesh-api/billing/v1/stripe_service/stripeservice/create-stripe-setup-intent.md): Creates a Stripe setup intent for a user.
- [Detach Stripe Payment Method](https://docs.tensormesh.ai/tensormesh-api/billing/v1/stripe_service/stripeservice/detach-stripe-payment-method.md): Removes a payment method from a customer.
- [Get Or Create Stripe Customer](https://docs.tensormesh.ai/tensormesh-api/billing/v1/stripe_service/stripeservice/get-or-create-stripe-customer.md)
- [List Stripe Payment Methods](https://docs.tensormesh.ai/tensormesh-api/billing/v1/stripe_service/stripeservice/list-stripe-payment-methods.md): Lists a user's attached payment methods.
- [Balances](https://docs.tensormesh.ai/tensormesh-api/billing/v1/user_balance_service.md): Current-user balance lookup.
- [Get User Balance](https://docs.tensormesh.ai/tensormesh-api/billing/v1/user_balance_service/userbalanceservice/get-user-balance.md): Get user's current balance.
- [Admin Models](https://docs.tensormesh.ai/tensormesh-api/model/v1/admin_model_service.md): Admin-only model inventory and deletion operations.
- [Delete Model](https://docs.tensormesh.ai/tensormesh-api/model/v1/admin_model_service/adminmodelservice/delete-model.md): Deletes a model by id (admin only). Does not require ownership.
- [List Models](https://docs.tensormesh.ai/tensormesh-api/model/v1/admin_model_service/adminmodelservice/list-models.md): Lists all models that are not deleted.
- [Models](https://docs.tensormesh.ai/tensormesh-api/model/v1/model.md): Public model inventory, model detail, validation, search, and one control-plane model test action.
- [Chat With Model](https://docs.tensormesh.ai/tensormesh-api/model/v1/model_service/modelservice/chat-with-model.md): Sends a chat message to a deployed model and returns the response.
- [Delete Model](https://docs.tensormesh.ai/tensormesh-api/model/v1/model_service/modelservice/delete-model.md): Deletes an existing model deployment.
- [Get Model](https://docs.tensormesh.ai/tensormesh-api/model/v1/model_service/modelservice/get-model.md): Retrieves details of a specific model deployment.
- [List Models](https://docs.tensormesh.ai/tensormesh-api/model/v1/model_service/modelservice/list-models.md): Lists all models owned by a user.
- [List Models By Infra](https://docs.tensormesh.ai/tensormesh-api/model/v1/model_service/modelservice/list-models-by-infra.md): Lists all model deployments in a specific cluster.
- [Validate Model Name](https://docs.tensormesh.ai/tensormesh-api/model/v1/model_service/modelservice/validate-model-name.md): Validates whether a model nick name is available and valid.
- [Observability](https://docs.tensormesh.ai/tensormesh-api/observability/v1/observability_service.md): Deployment logs, deployment metrics, and user metrics reads.
- [Get Model Logs](https://docs.tensormesh.ai/tensormesh-api/observability/v1/observability_service/observabilityservice/get-model-logs.md): Retrieves logs for a specific model deployment.
- [Get Model Metrics](https://docs.tensormesh.ai/tensormesh-api/observability/v1/observability_service/observabilityservice/get-model-metrics.md): Retrieves metrics for a specific model deployment.
- [Get User Metrics](https://docs.tensormesh.ai/tensormesh-api/observability/v1/observability_service/observabilityservice/get-user-metrics.md): Retrieves metrics for a specific user.
- [Reserved Deployments](https://docs.tensormesh.ai/tensormesh-api/support/v1/reserved_deployment_service.md): Submit reserved deployment requests.
- [Submit Reserved Deployment](https://docs.tensormesh.ai/tensormesh-api/support/v1/reserved_deployment_service/reserveddeploymentservice/submit-reserved-deployment.md): Submits a reservation request and triggers an email notification.
- [Support](https://docs.tensormesh.ai/tensormesh-api/support/v1/support_service.md): Ticket listing, ticket detail, ticket creation, closure, and message append operations.
- [Append Ticket Message](https://docs.tensormesh.ai/tensormesh-api/support/v1/support_service/supportservice/append-ticket-message.md): Appends a conversation message to a ticket.
- [Close Ticket](https://docs.tensormesh.ai/tensormesh-api/support/v1/support_service/supportservice/close-ticket.md): Closes a support ticket.
- [Create Ticket](https://docs.tensormesh.ai/tensormesh-api/support/v1/support_service/supportservice/create-ticket.md): Creates a new support ticket.
- [Get Ticket](https://docs.tensormesh.ai/tensormesh-api/support/v1/support_service/supportservice/get-ticket.md): Retrieves a support ticket by ID.
- [List Tickets](https://docs.tensormesh.ai/tensormesh-api/support/v1/support_service/supportservice/list-tickets.md): Lists support tickets with optional filters.
- [Admin Users](https://docs.tensormesh.ai/tensormesh-api/user/v1/admin_user_service.md): Admin-only user listing and role-change operations.
- [Change User Role](https://docs.tensormesh.ai/tensormesh-api/user/v1/admin_user_service/adminuserservice/change-user-role.md): Updates a user's role.
- [List Users](https://docs.tensormesh.ai/tensormesh-api/user/v1/admin_user_service/adminuserservice/list-users.md): Lists users with pagination.
- [Users](https://docs.tensormesh.ai/tensormesh-api/user/v1/user_service.md): Current-user auth profile, user records, terms of service, and user API key operations.
- [Accept Tos](https://docs.tensormesh.ai/tensormesh-api/user/v1/user_service/userservice/accept-tos.md): Marks a user as having accepted terms of service.
- [Create User API Key](https://docs.tensormesh.ai/tensormesh-api/user/v1/user_service/userservice/create-user-api-key.md): Creates an API key for a user.
- [Delete User API Key](https://docs.tensormesh.ai/tensormesh-api/user/v1/user_service/userservice/delete-user-api-key.md): Soft deletes an API key for a user.
- [Get Auth Profile](https://docs.tensormesh.ai/tensormesh-api/user/v1/user_service/userservice/get-auth-profile.md): Returns the authenticated user profile for the current bearer token.
- [Get User Profile](https://docs.tensormesh.ai/tensormesh-api/user/v1/user_service/userservice/get-user-profile.md): Retrieves an existing user profile by ID or email.
- [Get User Profile 2](https://docs.tensormesh.ai/tensormesh-api/user/v1/user_service/userservice/get-user-profile-2.md): GetUserProfile retrieves an existing user profile by ID or email.
- [List User API Keys](https://docs.tensormesh.ai/tensormesh-api/user/v1/user_service/userservice/list-user-api-keys.md): Lists API keys for a user.
- [Update User Profile](https://docs.tensormesh.ai/tensormesh-api/user/v1/user_service/userservice/update-user-profile.md): Updates an existing user profile.
- [Terminating a Deployment](https://docs.tensormesh.ai/terminate-deployment.md): Permanently stop a deployment and release GPU resources

## OpenAPI Specs

- [user_service.openapi](https://docs.tensormesh.ai/tensormesh-api/specs/user/v1/user_service.openapi.json)
- [admin_user_service.openapi](https://docs.tensormesh.ai/tensormesh-api/specs/user/v1/admin_user_service.openapi.json)
- [support_service.openapi](https://docs.tensormesh.ai/tensormesh-api/specs/support/v1/support_service.openapi.json)
- [reserved_deployment_service.openapi](https://docs.tensormesh.ai/tensormesh-api/specs/support/v1/reserved_deployment_service.openapi.json)
- [observability_service.openapi](https://docs.tensormesh.ai/tensormesh-api/specs/observability/v1/observability_service.openapi.json)
- [model_service.openapi](https://docs.tensormesh.ai/tensormesh-api/specs/model/v1/model_service.openapi.json)
- [model.openapi](https://docs.tensormesh.ai/tensormesh-api/specs/model/v1/model.openapi.json)
- [admin_model_service.openapi](https://docs.tensormesh.ai/tensormesh-api/specs/model/v1/admin_model_service.openapi.json)
- [user_balance_service.openapi](https://docs.tensormesh.ai/tensormesh-api/specs/billing/v1/user_balance_service.openapi.json)
- [stripe_service.openapi](https://docs.tensormesh.ai/tensormesh-api/specs/billing/v1/stripe_service.openapi.json)
- [product_service.openapi](https://docs.tensormesh.ai/tensormesh-api/specs/billing/v1/product_service.openapi.json)
- [pricing_service.openapi](https://docs.tensormesh.ai/tensormesh-api/specs/billing/v1/pricing_service.openapi.json)
- [billing_transaction_service.openapi](https://docs.tensormesh.ai/tensormesh-api/specs/billing/v1/billing_transaction_service.openapi.json)
- [billing_model_service.openapi](https://docs.tensormesh.ai/tensormesh-api/specs/billing/v1/billing_model_service.openapi.json)
- [billing_address_service.openapi](https://docs.tensormesh.ai/tensormesh-api/specs/billing/v1/billing_address_service.openapi.json)
- [admin_billing_service.openapi](https://docs.tensormesh.ai/tensormesh-api/specs/billing/v1/admin_billing_service.openapi.json)
- [activity_service.openapi](https://docs.tensormesh.ai/tensormesh-api/specs/activity/v1/activity_service.openapi.json)
- [common.openapi](https://docs.tensormesh.ai/api-reference/src/common.openapi.yaml)
- [serverless.openapi](https://docs.tensormesh.ai/api-reference/serverless.openapi.yaml)
- [openapi](https://docs.tensormesh.ai/api-reference/openapi.yaml)
- [on-demand.openapi](https://docs.tensormesh.ai/api-reference/on-demand.openapi.yaml)