@corsair-dev/pinecone

Corsair plugin for the Pinecone API, covering the 48 operations advertised by the Corsair OSS catalog.

Authentication

The implemented database, inference, and Assistant APIs use Pinecone's Api-Key header. Create a key in the Pinecone console and provide it through Corsair credentials or explicitly:

import { pinecone } from '@corsair-dev/pinecone'

const plugin = pinecone({ key: process.env.PINECONE_API_KEY })

Missing credentials fail with AuthMissingError; the plugin never sends an empty key. Pinecone's separate administrative OAuth API is outside this contribution because none of its operations appear in the claimed 48-operation catalog surface.

All calls pin X-Pinecone-API-Version: 2026-04 to the matching official OpenAPI contracts.

Endpoint overview

| Domain | Operations | | --- | --- | | Indexes | create, createForModel, list, describe, configure, delete | | Backups | create, listForIndex, listForProject, describe, delete, createIndex | | Restore jobs | list, describe | | Collections | list | | Inference | embed, rerank, listModels, getModel | | Vectors | upsert, query, fetch, update, delete, list, describeIndexStats | | Namespaces | list, create, describe, delete | | Bulk imports | list, start, describe, cancel | | Integrated records | upsert, search | | Assistants | list, create, get, update, delete | | Assistant files | list, upload, describe, delete | | Assistant chat | chat, completion, context |

No webhooks are registered because these Pinecone surfaces do not publish relevant native webhook events.

Dynamic hosts

Control-plane and inference calls use https://api.pinecone.io. Data operations require the host returned by indexes.describe; Assistant data operations require the host returned by assistants.get.

const index = await corsair.pinecone.indexes.describe({
  indexName: 'knowledge-base',
})

await corsair.pinecone.vectors.upsert({
  host: index.host,
  namespace: 'docs',
  vectors: [{ id: 'doc-1', values: [0.12, 0.34] }],
})

Dynamic hosts must use HTTPS and end in pinecone.io. This prevents an untrusted host input from forwarding the caller's API key to another domain.

Retrieval workflow

The main demo path is a complete retrieval pipeline:

1. Create or describe an index.
2. Generate embeddings with inference.embed.
3. Store them with vectors.upsert.
4. Retrieve candidates with vectors.query or records.search.
5. Improve ordering with inference.rerank.

Every operation has a Zod input/output contract and a mocked routing test based on the official 2026-04 path, method, auth, and response shape.

Important behavior

• List operations expose Pinecone pagination tokens and limits where available.
• Integrated-record upserts are encoded as application/x-ndjson.
• Assistant uploads accept fileBase64, decode it locally, and send multipart form data without manually setting an invalid boundary.
• Assistant chat endpoints intentionally expose non-streaming JSON responses; stream: true is rejected because Corsair's action transport does not return SSE streams.
• 429 responses are handled by Corsair's shared Retry-After-aware transport and are not retried a second time by plugin handlers.
• Destructive index, backup, namespace, vector, Assistant, and file operations are marked accordingly in endpoint metadata.

Tests

pnpm --filter @corsair-dev/pinecone typecheck
pnpm --filter @corsair-dev/pinecone test
pnpm --filter @corsair-dev/pinecone build

Offline tests require no Pinecone key.

Live demo

The live demo uses the real plugin endpoints to generate embeddings, create a disposable serverless index, upsert and query three vectors, rerank the matches, and delete the index in a finally block:

read -s PINECONE_API_KEY
export PINECONE_API_KEY
pnpm exec tsx packages/pinecone/demo.ts
unset PINECONE_API_KEY

Paste the key at the hidden prompt and press Enter. The API key is read only from the process environment and is never printed. The demo uses AWS us-east-1, which is available on Pinecone Starter plans.

Watch the verified 32-second live demo. It shows embedding generation, disposable index creation, a three-vector upsert, semantic query, reranking, and successful cleanup.

Links

• Pinecone API documentation
• Official OpenAPI specifications
• Integration request
• Pull request