SDK Usage

import requests

# Create a namespace
response = requests.post(
    "https://api.mixpeek.com/v1/namespaces",
    headers={
        "Authorization": "Bearer YOUR_API_KEY",
        "Content-Type": "application/json"
    },
    json={
        "namespace_name": "my-workspace",
        "description": "Production workspace"
    }
)

namespace = response.json()
print(f"Created namespace: {namespace['namespace_id']}")

import requests
from typing import Optional

class MixpeekClient:
    def __init__(self, api_key: str, base_url: str = "https://api.mixpeek.com"):
        self.api_key = api_key
        self.base_url = base_url
        self.headers = {
            "Authorization": f"Bearer {api_key}",
            "Content-Type": "application/json"
        }

    def create_collection(
        self,
        namespace_id: str,
        collection_name: str,
        feature_extractors: list
    ) -> dict:
        """Create a new collection with feature extractors."""
        response = requests.post(
            f"{self.base_url}/v1/collections",
            headers={**self.headers, "X-Namespace-Id": namespace_id},
            json={
                "collection_name": collection_name,
                "feature_extractors": feature_extractors
            }
        )
        response.raise_for_status()
        return response.json()

    def execute_retriever(
        self,
        namespace_id: str,
        retriever_id: str,
        inputs: dict,
        limit: Optional[int] = None
    ) -> dict:
        """Execute a retriever to search documents."""
        params = {"limit": limit} if limit else {}
        response = requests.post(
            f"{self.base_url}/v1/retrievers/{retriever_id}/execute",
            headers={**self.headers, "X-Namespace-Id": namespace_id},
            json={"inputs": inputs},
            params=params
        )
        response.raise_for_status()
        return response.json()

# Usage
client = MixpeekClient(api_key="sk_...")

# Create a collection
collection = client.create_collection(
    namespace_id="ns_abc123",
    collection_name="videos",
    feature_extractors=[{
        "feature_extractor_name": "multimodal_extractor",
        "version": "v1"
    }]
)

# Execute a search
results = client.execute_retriever(
    namespace_id="ns_abc123",
    retriever_id="ret_xyz789",
    inputs={"query": "machine learning"},
    limit=10
)

class MixpeekClient {
  constructor(apiKey, baseUrl = "https://api.mixpeek.com") {
    this.apiKey = apiKey;
    this.baseUrl = baseUrl;
    this.headers = {
      "Authorization": `Bearer ${apiKey}`,
      "Content-Type": "application/json"
    };
  }

  async createCollection(namespaceId, collectionName, featureExtractors) {
    const response = await fetch(`${this.baseUrl}/v1/collections`, {
      method: "POST",
      headers: {
        ...this.headers,
        "X-Namespace-Id": namespaceId
      },
      body: JSON.stringify({
        collection_name: collectionName,
        feature_extractors: featureExtractors
      })
    });

    if (!response.ok) {
      throw new Error(`API error: ${response.statusText}`);
    }

    return response.json();
  }

  async executeRetriever(namespaceId, retrieverId, inputs, limit = null) {
    const url = new URL(`${this.baseUrl}/v1/retrievers/${retrieverId}/execute`);
    if (limit) url.searchParams.set("limit", limit);

    const response = await fetch(url, {
      method: "POST",
      headers: {
        ...this.headers,
        "X-Namespace-Id": namespaceId
      },
      body: JSON.stringify({ inputs })
    });

    if (!response.ok) {
      throw new Error(`API error: ${response.statusText}`);
    }

    return response.json();
  }
}

// Usage
const client = new MixpeekClient("sk_...");

// Create a collection
const collection = await client.createCollection(
  "ns_abc123",
  "videos",
  [{
    feature_extractor_name: "multimodal_extractor",
    version: "v1"
  }]
);

// Execute a search
const results = await client.executeRetriever(
  "ns_abc123",
  "ret_xyz789",
  { query: "machine learning" },
  10
);