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roanbrasil
/
devops-gitops-corpus

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pnpm volt prompts pull
```
2. Keep files under `.voltagent/prompts` (default), or pull to a custom directory:
```bash
pnpm volt prompts pull --out ./.prompts
```
3. Point the runtime to the same directory:
```bash
export VOLTAGENT_PROMPTS_PATH="./.prompts"
```
4. Use prompts the same way in your agent:
```typescript
instructions: async ({ prompts }) => {
return await prompts.getPrompt({ promptName: "customer-support-prompt" });
};
```
### Multiple Versions and Labels (Local)
To keep more than one version locally, pull specific versions or labels. These are stored as:
`.voltagent/prompts/<promptName>/<version>.md`.
```bash
pnpm volt prompts pull --names support-agent --prompt-version 4
pnpm volt prompts pull --names support-agent --label production
```
Then request by version or label:
```typescript
instructions: async ({ prompts }) => {
return await prompts.getPrompt({
promptName: "support-agent",
version: 4,
});
};
```
```typescript
instructions: async ({ prompts }) => {
return await prompts.getPrompt({
promptName: "support-agent",
label: "production",
});
};
```
If a local prompt is found, it is used first. If not, VoltOps is used as the fallback.
### Agent-Level VoltOpsClient
Alternatively, attach the client directly to the agent:
```typescript
const agent = new Agent({
name: "SupportAgent",
model: openai("gpt-4o-mini"),
instructions: async ({ prompts }) => {
return await prompts.getPrompt({
promptName: "customer-support-prompt",
});
},
voltOpsClient: voltOpsClient,
});
```
### Direct VoltOpsClient Access
For standalone usage outside of agents:
```typescript
const voltOpsClient = new VoltOpsClient({
publicKey: process.env.VOLTAGENT_PUBLIC_KEY,
secretKey: process.env.VOLTAGENT_SECRET_KEY,
});
const content = await voltOpsClient.prompts.getPrompt({
promptName: "customer-support-prompt",
});
console.log("Prompt content:", content);
```
## Environment Labels
Use labels to target specific prompt versions for different environments:
```typescript
const agent = new Agent({
name: "ProductionAgent",
model: openai("gpt-4o-mini"),
instructions: async ({ prompts }) => {
const label = process.env.NODE_ENV === "production" ? "production" : "development";