# SambaNova Documentation: v2.1.1

## v2.1.1

- [v2.1.1 / Japanese (179 pages)](https://docs.sambanova.ai/docs/_llms/v2-1-1/ja.txt): Documentation for v2.1.1 / Japanese.

### Developer guide

#### Get started

- [SambaNova developer guide overview](https://docs.sambanova.ai/docs/en/get-started/overview.md)
- [API keys and URLs](https://docs.sambanova.ai/docs/en/get-started/api-keys-urls.md)
- [SambaNova quickstart](https://docs.sambanova.ai/docs/en/get-started/quickstart.md)

#### Models

- [SambaCloud models overview and specifications](https://docs.sambanova.ai/docs/en/models/sambacloud-models.md)
- [SambaNova model rate limits](https://docs.sambanova.ai/docs/en/models/rate-limits.md)
- [SambaNova model deprecations](https://docs.sambanova.ai/docs/en/models/deprecations.md)

#### Features

- [OpenAI compatibility](https://docs.sambanova.ai/docs/en/features/openai-compatibility.md)
- [Anthropic compatibility](https://docs.sambanova.ai/docs/en/features/anthropic-compatibility.md)
- [Messages API](https://docs.sambanova.ai/docs/en/features/messages.md)
- [Implement text generation features](https://docs.sambanova.ai/docs/en/features/text-generation.md)
- [Implement function calling and JSON mode features](https://docs.sambanova.ai/docs/en/features/function-calling.md)
- [Responses API](https://docs.sambanova.ai/docs/en/features/responses.md)
- [Implement vision and multimodal features](https://docs.sambanova.ai/docs/en/features/vision.md)
- [Implement video input features](https://docs.sambanova.ai/docs/en/features/video.md)
- [Implement audio‑input features](https://docs.sambanova.ai/docs/en/features/audio.md)
- [Implement embeddings features](https://docs.sambanova.ai/docs/en/features/embeddings.md)
- [Reduce latency and cost with prompt caching](https://docs.sambanova.ai/docs/en/features/prompt-caching.md)
- [Implement text-to-speech](https://docs.sambanova.ai/docs/en/features/speech.md)

#### Build

- [Developer community](https://docs.sambanova.ai/docs/en/build/developer-community.md)
- [AI starter kits](https://docs.sambanova.ai/docs/en/build/ai-starter-kits.md)
- [Agents](https://docs.sambanova.ai/docs/en/build/agents.md)
- [Hugging Face spaces](https://docs.sambanova.ai/docs/en/build/hf-spaces.md)
- [RAG workflows](https://docs.sambanova.ai/docs/en/build/rag.md)
- [Reasoning models](https://docs.sambanova.ai/docs/en/build/reasoning.md)
- [SambaNova SDK for Python and JavaScript](https://docs.sambanova.ai/docs/en/build/sn-sdk.md)
- [Getting started with custom chat templates and output parsing](https://docs.sambanova.ai/docs/en/build/chat-templates.md)

#### Resources

- [Glossary](https://docs.sambanova.ai/docs/en/resources/glossary.md)

### API reference

#### Overview

- [SambaNova API reference](https://docs.sambanova.ai/docs/en/api-reference/overview.md)

#### Inference API

##### Chat completions

- [Create chat-based completion](https://docs.sambanova.ai/docs/api-reference/chat-completions/create-chat-based-completion.md)

##### Completions

- [Create completion](https://docs.sambanova.ai/docs/api-reference/completions/create-completion.md)

##### Responses

- [Create a model response](https://docs.sambanova.ai/docs/api-reference/responses/create-a-model-response.md): Creates a model response for the given input. Only `type: "function"` tools are supported; other tool types are filtered server-side. SambaNova is stateless, conversation history must be supplied in full via `input[]` on each request.

##### Messages

- [Create a message](https://docs.sambanova.ai/docs/api-reference/messages/create-a-message.md): Anthropic Messages API compatible endpoint. Generates a model response for the supplied conversation. Authentication accepts either the bearer `Authorization: Bearer <key>` header (SambaNova SDK default) or the `x-api-key` header (Anthropic SDK default); the same API key is used in both cases. When…
- [Count tokens for a message request](https://docs.sambanova.ai/docs/api-reference/messages/count-tokens-for-a-message-request.md): Anthropic `count_tokens` compatible endpoint. Returns the number of input tokens that would be consumed by a `POST /messages` call with the same prompt content (system, messages, tools, tool_choice). Authentication accepts either the bearer `Authorization: Bearer <key>` header (SambaNova SDK default…

##### Embeddings

- [Create embeddings](https://docs.sambanova.ai/docs/api-reference/embeddings/create-embeddings.md)

##### Audio

- [Transcribes audio into the input language.](https://docs.sambanova.ai/docs/api-reference/audio/transcribes-audio-into-the-input-language.md)
- [Translate audio into English.](https://docs.sambanova.ai/docs/api-reference/audio/translate-audio-into-english.md)

##### Models

- [Get environment's available model list metadata](https://docs.sambanova.ai/docs/api-reference/models/get-environments-available-model-list-metadata.md)
- [Get environment's available model metadata](https://docs.sambanova.ai/docs/api-reference/models/get-environments-available-model-metadata.md)

#### Chat Agents API

- [Chat agents API overview](https://docs.sambanova.ai/docs/en/agents-api-reference/overview.md)

##### Main Agent

- [Main Agent](https://docs.sambanova.ai/docs/api-reference/main-agent/main-agent.md): The main agent is a general-purpose AI assistant that coordinates with specialized subagents (coding, financial analysis, deep research, and data science) to complete complex tasks. This fire-and-forget endpoint submits a prompt and returns the final response in a single call.

##### Main Agent Interactive

- [Main Agent Interactive](https://docs.sambanova.ai/docs/api-reference/main-agent-interactive/main-agent-interactive.md): The main agent is a general-purpose AI assistant that coordinates with specialized subagents (coding, financial analysis, deep research, and data science) to complete complex tasks. This interactive endpoint supports multi-turn conversations with persistent context.

##### Subagents

- [Coding Agent](https://docs.sambanova.ai/docs/api-reference/subagents/coding-agent.md): The coding agent executes Python code in a sandboxed environment, fixes errors, and returns results. This fire-and-forget endpoint submits a prompt and returns the final response in a single call.
- [Datascience Agent And Report](https://docs.sambanova.ai/docs/api-reference/subagents/datascience-agent-and-report.md): The data science agent analyzes datasets, generates visualizations, and produces comprehensive reports. This fire-and-forget endpoint submits a prompt and returns the final report in a single call.
- [Deepresearch Agent](https://docs.sambanova.ai/docs/api-reference/subagents/deepresearch-agent.md): The deep research agent conducts multi-iteration research and produces comprehensive reports. This interactive endpoint uses a two-step workflow:
- [Financial Analysis Agent](https://docs.sambanova.ai/docs/api-reference/subagents/financial-analysis-agent.md): The financial analysis agent analyzes stocks, companies, and market data. This fire-and-forget endpoint submits a prompt and returns the final response in a single call.

##### Subagents Interactive

- [Coding Agent Interactive](https://docs.sambanova.ai/docs/api-reference/subagents-interactive/coding-agent-interactive.md): The coding agent executes Python code in a sandboxed environment, fixes errors, and returns results. This interactive endpoint supports multi-turn conversations for iterative code development.
- [Datascience Interactive](https://docs.sambanova.ai/docs/api-reference/subagents-interactive/datascience-interactive.md): The data science agent analyzes datasets, generates visualizations, and produces comprehensive reports. This interactive endpoint uses a two-step workflow:
- [Deepresearch Interactive Agent](https://docs.sambanova.ai/docs/api-reference/subagents-interactive/deepresearch-interactive-agent.md): Two-step interactive deep research API: Step 1: Submit prompt, get thread_id and research plan for approval. Step 2: Submit prompt with thread_id and resume=true to get the final report.
- [Financial Analysis Agent Interactive](https://docs.sambanova.ai/docs/api-reference/subagents-interactive/financial-analysis-agent-interactive.md): The financial analysis agent analyzes stocks, companies, and market data. This interactive endpoint uses a two-step workflow:

##### File Management

- [Download Agent File](https://docs.sambanova.ai/docs/api-reference/file-management/download-agent-file.md): Download files (artifacts) generated by agent APIs using Bearer token authentication. Files are scoped to users, and the storage layer verifies ownership before returning data.

#### Using the API

- [API error codes](https://docs.sambanova.ai/docs/en/api-reference/using-the-api/api-error-codes.md)

### Integrations

#### Overview

- [Integrations](https://docs.sambanova.ai/docs/en/integrations/overview.md)

#### Developer tools

##### Coding assistants

- [BlackBox AI integration guide](https://docs.sambanova.ai/docs/en/integrations/blackboxai.md)
- [Claude Code integration guide](https://docs.sambanova.ai/docs/en/integrations/claude-code.md)
- [Cline integration guide](https://docs.sambanova.ai/docs/en/integrations/cline.md)
- [Codex integration guide](https://docs.sambanova.ai/docs/en/integrations/codex.md)
- [Continue integration guide](https://docs.sambanova.ai/docs/en/integrations/continue.md)
- [Cursor integration guide](https://docs.sambanova.ai/docs/en/integrations/cursor.md)
- [KiloCode integration guide](https://docs.sambanova.ai/docs/en/integrations/kilocode.md)
- [OpenCode integration guide](https://docs.sambanova.ai/docs/en/integrations/opencode.md)
- [OpenHands integration guide](https://docs.sambanova.ai/docs/en/integrations/openhands.md)
- [Pi integration guide](https://docs.sambanova.ai/docs/en/integrations/pi.md)
- [Qwen Code CLI integration guide](https://docs.sambanova.ai/docs/en/integrations/qwen-code-cli.md)
- [term-llm integration guide](https://docs.sambanova.ai/docs/en/integrations/term-llm.md)
- [VS Code Foundry Toolkit integration](https://docs.sambanova.ai/docs/en/integrations/vscode.md)

##### Tool and Browser Use

- [Browser Use integration guide](https://docs.sambanova.ai/docs/en/integrations/browser-use.md)
- [Composio integration guide](https://docs.sambanova.ai/docs/en/integrations/composio.md)
- [Exa integration guide](https://docs.sambanova.ai/docs/en/integrations/exa.md)
- [FastMCP integration guide](https://docs.sambanova.ai/docs/en/integrations/fastmcp.md)
- [Google Workspace integration guide](https://docs.sambanova.ai/docs/en/integrations/google-workspace.md)
- [Instructor integration guide](https://docs.sambanova.ai/docs/en/integrations/instructor.md)
- [Linkup integration guide](https://docs.sambanova.ai/docs/en/integrations/linkup.md)

#### Frameworks

##### LLM frameworks

- [AI Suite integration guide](https://docs.sambanova.ai/docs/en/integrations/aisuite.md)
- [Haystack integration guide](https://docs.sambanova.ai/docs/en/integrations/haystack.md)
- [Hugging Face integration guide](https://docs.sambanova.ai/docs/en/integrations/hugging-face.md)
- [LangChain integration guide](https://docs.sambanova.ai/docs/en/integrations/langchain.md)
- [LiteLLM integration guide](https://docs.sambanova.ai/docs/en/integrations/litellm.md)
- [LlamaIndex integration guide](https://docs.sambanova.ai/docs/en/integrations/llama-index.md)
- [OGX integration guide](https://docs.sambanova.ai/docs/en/integrations/ogx.md)
- [OpenRouter BYOK integration guide](https://docs.sambanova.ai/docs/en/integrations/openrouter-byok.md)
- [Oumi integration guide](https://docs.sambanova.ai/docs/en/integrations/oumi.md)
- [Vercel integration guide](https://docs.sambanova.ai/docs/en/integrations/vercel.md)

##### Agent building and orchestration

- [ADK integration guide](https://docs.sambanova.ai/docs/en/integrations/adk.md)
- [Agent Zero integration guide](https://docs.sambanova.ai/docs/en/integrations/agentzero.md)
- [Agno integration guide](https://docs.sambanova.ai/docs/en/integrations/agno.md)
- [AutoGen integration guide - agents and task automation](https://docs.sambanova.ai/docs/en/integrations/autogen.md)
- [Camel AI integration guide](https://docs.sambanova.ai/docs/en/integrations/camel-ai.md)
- [CrewAI integration guide](https://docs.sambanova.ai/docs/en/integrations/crew-ai.md)
- [LangGraph integration guide](https://docs.sambanova.ai/docs/en/integrations/langgraph.md)
- [OpenClaw integration guide](https://docs.sambanova.ai/docs/en/integrations/openclaw.md)
- [OpenWorker integration guide](https://docs.sambanova.ai/docs/en/integrations/open-worker.md)
- [Semantic Kernel integration guide](https://docs.sambanova.ai/docs/en/integrations/semantic-kernel.md)

#### Interfaces and low-code

##### LLM Interfaces and Gateways

- [Gradio integration guide](https://docs.sambanova.ai/docs/en/integrations/gradio.md)
- [LibreChat integration guide](https://docs.sambanova.ai/docs/en/integrations/librechat.md)
- [Open WebUI integration guide](https://docs.sambanova.ai/docs/en/integrations/openwebui.md)

##### Low-code platforms

- [Dify integration guide](https://docs.sambanova.ai/docs/en/integrations/dify.md)
- [Flowise integration guide](https://docs.sambanova.ai/docs/en/integrations/flowise.md)
- [Langflow integration guide](https://docs.sambanova.ai/docs/en/integrations/langflow.md)
- [Make integration guide](https://docs.sambanova.ai/docs/en/integrations/make.md)
- [n8n integration guide](https://docs.sambanova.ai/docs/en/integrations/n8n.md)

#### Data and infrastructure

##### Hyperscalers

- [AWS Marketplace integration guide](https://docs.sambanova.ai/docs/en/integrations/aws-marketplace.md)
- [AWS PrivateLink integration guide](https://docs.sambanova.ai/docs/en/integrations/aws.md)

##### Orchestration platforms

- [DataRobot integration guide](https://docs.sambanova.ai/docs/en/integrations/datarobot.md)
- [Docker Compose for agents integration guide](https://docs.sambanova.ai/docs/en/integrations/docker-compose-agents.md)

##### Vector DB and search

- [Mem0 integration guide](https://docs.sambanova.ai/docs/en/integrations/mem0.md)
- [Milvus integration guide](https://docs.sambanova.ai/docs/en/integrations/milvus.md)
- [Neo4j integration guide](https://docs.sambanova.ai/docs/en/integrations/neo4j.md)

#### Multimodal

##### Real-time voice

- [ElevenLabs integration guide](https://docs.sambanova.ai/docs/en/integrations/elevenlabs.md)
- [Hume AI integration guide](https://docs.sambanova.ai/docs/en/integrations/humeai.md)
- [LiveKit integration guide](https://docs.sambanova.ai/docs/en/integrations/livekit.md)
- [Pipecat integration guide](https://docs.sambanova.ai/docs/en/integrations/pipecat.md)
- [Vapi integration guide](https://docs.sambanova.ai/docs/en/integrations/vapi.md)

##### Video Analysis

- [TwelveLabs integration guide](https://docs.sambanova.ai/docs/en/integrations/twelvelabs.md)

#### Evaluation and monitoring

- [Inspect AI integration guide](https://docs.sambanova.ai/docs/en/integrations/inspectai.md)
- [LM Evaluation Harness integration guide](https://docs.sambanova.ai/docs/en/integrations/lm-evalharness.md)
- [Weave integration guide](https://docs.sambanova.ai/docs/en/integrations/weave.md)

### SambaStack

#### Getting Started

- [Introduction](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/getting-started/introduction.md)
- [Quickstart - hosted](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/getting-started/hosted.md)
- [Quickstart - on-prem](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/getting-started/on-prem.md)

#### Service Administration

##### Model deployment

- [Supported models and bundles](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/service-administration/model-deployment/supported-models-and-bundles.md)
- [Models chart](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/service-administration/model-deployment/models-chart.md)
- [Checkpoint conversion tool](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/service-administration/model-deployment/checkpoint-conversion-tool.md)

###### Deploying models and bundles

- [Deploying models and bundles](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/service-administration/model-deployment/deploying-models-and-bundles/overview.md)
- [Deploy a single model](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/service-administration/model-deployment/deploying-models-and-bundles/deploy-a-single-model.md)
- [Deploy a bundle](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/service-administration/model-deployment/deploying-models-and-bundles/deploy-a-bundle.md)
- [Create a custom bundle](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/service-administration/model-deployment/deploying-models-and-bundles/create-a-custom-bundle.md)
- [Deploying custom checkpoints](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/service-administration/model-deployment/deploying-models-and-bundles/deploy-custom-checkpoints.md)
- [High-throughput vs. high-interactivity](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/service-administration/model-deployment/deploying-models-and-bundles/deployment-configurations.md)
- [Migrating bundle configuration](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/service-administration/model-deployment/deploying-models-and-bundles/sambastack-v2-bundle-migration.md)
- [Troubleshooting deployments](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/service-administration/model-deployment/deploying-models-and-bundles/troubleshooting.md)

###### Custom resources

- [PEF](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/service-administration/model-deployment/custom-resources/pef.md)
- [ModelProfile](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/service-administration/model-deployment/custom-resources/model-profile.md)
- [Model](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/service-administration/model-deployment/custom-resources/model.md)
- [ModelBundle](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/service-administration/model-deployment/custom-resources/model-bundle.md)
- [ModelDeployment](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/service-administration/model-deployment/custom-resources/model-deployment.md)

##### Performance optimization

- [Deploying with speculative decoding](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/service-administration/performance/deploy-with-speculative-decoding.md)
- [Using prompt caching](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/service-administration/performance/prompt-caching.md)
- [Extended token generation](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/service-administration/performance/ignore-eos.md)

##### Platform administration

- [Authentication](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/service-administration/platform-admin/authentication.md)
- [User access and permissions](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/service-administration/platform-admin/usergroup-management.md)
- [Custom database](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/service-administration/platform-admin/custom-database.md)
- [Custom domain and TLS certificate configuration](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/service-administration/platform-admin/custom-domain.md)
- [Upgrading SambaStack](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/service-administration/platform-admin/upgrade-sambastack.md)

#### Hardware Administration

- [SambaRack overview](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/hardware-admin/sambarack-overview.md)
- [Network administration](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/hardware-admin/network-admin.md)
- [Power management](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/hardware-admin/power-management.md)
- [Host module OS administration](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/hardware-admin/host-os.md)
- [Host module BMC administration](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/hardware-admin/host-bmc-admin.md)
- [RDU module administration](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/hardware-admin/rdu-administration.md)

##### SambaRack Manager

- [Overview](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/hardware-admin/sambarack-manager/srm-overview.md)
- [Install and upgrade](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/hardware-admin/sambarack-manager/srm-install.md)
- [Initial setup](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/hardware-admin/sambarack-manager/srm-initial-setup.md)
- [Rack administration](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/hardware-admin/sambarack-manager/srm-rack-admin.md)
- [Device credentials](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/hardware-admin/sambarack-manager/srm-device-credentials.md)
- [Node administration](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/hardware-admin/sambarack-manager/srm-node-admin.md)
- [Group administration](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/hardware-admin/sambarack-manager/srm-group-admin.md)
- [Power Operations](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/hardware-admin/sambarack-manager/srm-power-admin.md)
- [Firmware Updates](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/hardware-admin/sambarack-manager/srm-firmware-updates.md)
- [Inventory file schema](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/hardware-admin/sambarack-manager/srm-inventory-file-schema.md)
- [Command reference](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/hardware-admin/sambarack-manager/srm-command-reference.md)

#### Reference Architecture

- [Integration with LiteLLM](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/reference-architecture/litellm.md)

##### Monitoring and Observability

- [Overview](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/reference-architecture/observability/overview.md)
- [Log storage and search - OpenSearch](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/reference-architecture/observability/log-storage.md)
- [Log forwarding with Fluent Bit](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/reference-architecture/observability/log-forwarder.md)
- [Monitoring with Prometheus and Grafana](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/reference-architecture/observability/monitoring-prom.md)
- [Metrics](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/reference-architecture/observability/metrics.md)
- [Logs](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/reference-architecture/observability/logs.md)

#### Resources

- [SambaStack.yaml reference](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/resources/sambastack-yaml.md): Configuration reference for the sambastack and sambastack-models Helm charts, covering ingress, TLS, high availability, service tiers, and model bundle configuration.
- [SambaStack pods reference](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/resources/pods-reference.md)
- [SambaRack SN40L-16 and Core Services Rack - installation guide](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/resources/sambarack-csr-installation-guide.md)
- [SambaRack components and cabling](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/resources/sn40l-16-hardware-reference.md)
- [Third-party components](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/resources/thirdparty.md)
- [SBOM and security reports](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/resources/sbom-security-reports.md)
- [SambaStack glossary](https://docs.sambanova.ai/docs/en/v2.1.1/sambastack/resources/glossary.md)

### Release notes

#### Release notes

- [SambaNova release notes](https://docs.sambanova.ai/docs/en/release-notes/overview.md)
- [SambaCloud release notes](https://docs.sambanova.ai/docs/en/release-notes/sambacloud.md)
- [SambaStack release notes](https://docs.sambanova.ai/docs/en/release-notes/sambastack.md)
- [SambaRack Manager release notes](https://docs.sambanova.ai/docs/en/release-notes/sambarack-manager.md)
- [SambaNova Runtime release notes](https://docs.sambanova.ai/docs/en/release-notes/runtime.md)

## OpenAPI Specs

- [openapi.documented](https://raw.githubusercontent.com/sambanova/sambanova-inference-api-spec/refs/heads/main/openapi.documented.json)
- [chat-sambanova-agent-api-spec](https://raw.githubusercontent.com/sambanova/agents/refs/heads/main/chat-sambanova-agent-api-spec.yaml)
