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3. Optionally set a **name** (e.g., "Production pipeline") and an **expiration date**.
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4. Click **Create new key**.
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5. Copy the key immediately.
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2. Click `Create new key`.
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3. Optionally set a `Name` (for example, `Production pipeline`) and an `Expiration` date.
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4. Choose a `Connector access scope`.
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5. Click `Create new key`.
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6. Copy the key immediately.
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:::warning
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**The full key is shown only once**. After you close the dialog, you can't retrieve it. Store the key securely in a password manager or secrets vault. Don't share it or commit it to version control.
API keys are **scoped to the Workspace** where they were created. Resources created with a key (like datasets, batch jobs, etc.) are visible to all members of that Workspace.
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API keys are **scoped to the Workspace** where they were created. Resources created with a key, such as datasets and batch jobs, are visible to all members of that Workspace.
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To use different keys for different environments (development, staging, production), create separate [Workspaces](/admin/security-access/organization).
When you create an API key, use `Connector access scope` to control which Connectors the key can use:
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| Scope | Access |
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|-------|--------|
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|`Shared connectors only`| Access only Connectors shared with the Workspace, not your private Connectors. |
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|`Private and shared connectors`| Access both your private Connectors and the Connectors shared with the Workspace. |
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:::tip
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Use `Shared connectors only` for automation. Use `Private and shared connectors` only when the application needs private Connectors owned by the key creator.
Copy file name to clipboardExpand all lines: public/models/best-practices/sampling.md
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In this example, the model generates a response considering only the top tokens that cumulatively reach a 50% probability threshold. This ensures that the output keeps some uniform diversity while still taking only the best tokens, in this case only 2 tokens reach the 50% threshold.
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</ExplorerTab>
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<ExplorerTabvalue="penalties"label="Penalties">
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Presence and Frequency Penalties are parameters that repetition, it allows you to control the diversity of the generated text.
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Presence and frequency penalties are parameters that penalize repetition. They let you control the diversity of generated text.
Copy file name to clipboardExpand all lines: public/studio-api/agents/agent-tools.md
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|[Web Search](/studio-api/agents/agent-tools/websearch)| Built-in. Search the web for up-to-date information not in the agent's knowledge.|
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|[Code Interpreter](/studio-api/agents/agent-tools/code_interpreter)| Built-in. Run code and generate plots, useful for data analysis, visualization, or sandboxed execution.|
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|[Image Generation](/studio-api/agents/agent-tools/image_generation)| Built-in. Generate images based on a prompt or description.|
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|[Document Library](/studio-api/knowledge-rag/libraries#connecting-libraries-to-agents)| Built-in. Search through documents uploaded to your [Libraries](/studio-api/knowledge-rag/libraries), enabling RAG to answer questions based on specific information.|
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|[Document Library](/studio-api/libraries#connecting-libraries-to-agents)| Built-in. Search through documents uploaded to your [Libraries](/studio-api/libraries), enabling RAG to answer questions based on specific information.|
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|[Function Calling](/studio-api/agents/agent-tools/function-calling)| Custom local tools: functions defined in your environment that can be called by the agent. Execution happens locally.|
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|[Connectors](/studio-api/knowledge-rag/connectors)| Register MCP servers as managed Connectors. Tools are discovered automatically and executed server-side.|
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|[Connectors](/studio-api/connectors)| Register MCP servers as managed Connectors. Tools are discovered automatically and executed server-side.|
Copy file name to clipboardExpand all lines: public/studio-api/agents/agent-tools/function-calling.md
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Built into our API, we provide [built-in tools](/studio-api/agents/agent-tools#built-in-tools) such as `websearch`, `code_interpreter`, `image_generation` and `document_library`. However, you can also use standard function tool calling by defining a JSON schema for your function.
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You can also register MCP servers as [Connectors](/studio-api/knowledge-rag/connectors) to use external tools in conversations and Agents.
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You can also register MCP servers as [Connectors](/studio-api/connectors) to use external tools in conversations and Agents.
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For more information regarding function calling, we recommend to visit our [function calling docs](/studio-api/conversations/function-calling).
Another tool that uses references is the Document Library tool — see the [Libraries guide](/studio-api/knowledge-rag/libraries#connecting-libraries-to-agents) for details.
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Another tool that uses references is the Document Library tool — see the [Libraries guide](/studio-api/libraries#connecting-libraries-to-agents) for details.
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For more on citations, see the [citations guide](/studio-api/conversations/citations).
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