# Lamini — Pipedream Connect

> Enterprise LLM Platform

- API slug: `lamini` (use in MCP headers and tool keys)
- Auth: API key (Pipedream-managed)
- Categories: Artificial Intelligence (AI)
- Website: https://www.lamini.ai/
- This page (HTML): https://pipedream.com/apps/lamini
- Tools: 4 actions · 1 trigger

## Connect via MCP (recommended)

- Endpoint: `https://remote.mcp.pipedream.net/v3`
- Headers: `Authorization: Bearer <token>` · `x-pd-project-id` · `x-pd-environment` · `x-pd-external-user-id` · `x-pd-app-slug: lamini`

```ts
import { Client } from "@modelcontextprotocol/sdk/client/index.js"
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp.js"
import { PipedreamClient } from "@pipedream/sdk"

const pd = new PipedreamClient({
  projectId: process.env.PIPEDREAM_PROJECT_ID!,
  clientId: process.env.PIPEDREAM_CLIENT_ID!,
  clientSecret: process.env.PIPEDREAM_CLIENT_SECRET!,
  projectEnvironment: "production",
})

const accessToken = await pd.rawAccessToken

const transport = new StreamableHTTPClientTransport(
  new URL("https://remote.mcp.pipedream.net/v3"),
  {
    requestInit: {
      headers: {
        Authorization: `Bearer ${accessToken}`,
        "x-pd-project-id": process.env.PIPEDREAM_PROJECT_ID!,
        "x-pd-environment": "production",
        "x-pd-external-user-id": "{external_user_id}", // any stable ID for this user in your system
        "x-pd-app-slug": "lamini",
      },
    },
  },
)

const mcp = new Client({ name: "my-agent", version: "1.0.0" })
await mcp.connect(transport)

const { tools } = await mcp.listTools()

// e.g. run Evaluate Job:
const result = await mcp.callTool({
  name: "lamini-evaluate-job",
  arguments: {
    jobId: "Job ID",
  },
})
```

Docs: [MCP guide](https://pipedream.com/docs/connect/mcp/developers.md)

## SDK

```ts
import { PipedreamClient } from "@pipedream/sdk"

const pd = new PipedreamClient({
  projectId: process.env.PIPEDREAM_PROJECT_ID!,
  clientId: process.env.PIPEDREAM_CLIENT_ID!,
  clientSecret: process.env.PIPEDREAM_CLIENT_SECRET!,
  projectEnvironment: "production",
})

const result = await pd.actions.run({
  id: "lamini-evaluate-job",
  externalUserId: "{external_user_id}", // any stable ID for this user in your system
  configuredProps: {
    lamini: { authProvisionId: "apn_xxxxxxx" },
    jobId: "Job ID",
  },
})
```

Docs: [Managed auth guide](https://pipedream.com/docs/connect/managed-auth/quickstart.md) · [Tools guide](https://pipedream.com/docs/connect/components.md)

## Actions (4)

### `lamini-evaluate-job` — Evaluate Job (Write)

Evaluate a fine-tuning job by job ID. See the documentation.

Full schema: https://pipedream.com/apps/lamini/actions/evaluate-job.md

### `lamini-generate-completion` — Generate Completion (Write)

Generate completions using a Lamini model. See the documentation.

Full schema: https://pipedream.com/apps/lamini/actions/generate-completion.md

### `lamini-get-batch-completions` — Get Batch Completions (Read-only)

Retrieve the results of a batch completion request from Lamini. See the documentation.

Full schema: https://pipedream.com/apps/lamini/actions/get-batch-completions.md

### `lamini-upload-dataset` — Upload Dataset (Write)

Upload a dataset to Lamini for training.

Full schema: https://pipedream.com/apps/lamini/actions/upload-dataset.md

## Triggers (1)

### `lamini-get-job-status` — New Job Status (Polling)

Emit new events with the status of a training job. See the documentation.

Full schema: https://pipedream.com/apps/lamini/triggers/get-job-status.md

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- All apps: https://pipedream.com/apps — index: https://pipedream.com/llms.txt
- Pipedream docs for agents: https://pipedream.com/docs/llms.txt