Jina AI

from portkey_ai import Portkey

# 1. Install: pip install portkey-ai
# 2. Add @jina provider in model catalog
# 3. Use it:

portkey = Portkey(api_key="PORTKEY_API_KEY")

response = portkey.chat.completions.create(
    model="@jina/jina-embeddings-v2-base-en",
    messages=[{"role": "user", "content": "Hello!"}]
)

print(response.choices[0].message.content)

import Portkey from 'portkey-ai'

// 1. Install: npm install portkey-ai
// 2. Add @jina provider in model catalog
// 3. Use it:

const portkey = new Portkey({
    apiKey: "PORTKEY_API_KEY"
})

const response = await portkey.chat.completions.create({
    model: "@jina/jina-embeddings-v2-base-en",
    messages: [{ role: "user", content: "Hello!" }]
})

console.log(response.choices[0].message.content)

from openai import OpenAI
from portkey_ai import PORTKEY_GATEWAY_URL

# 1. Install: pip install openai portkey-ai
# 2. Add @jina provider in model catalog
# 3. Use it:

client = OpenAI(
    api_key="PORTKEY_API_KEY",  # Portkey API key
    base_url=PORTKEY_GATEWAY_URL
)

response = client.chat.completions.create(
    model="@jina/jina-embeddings-v2-base-en",
    messages=[{"role": "user", "content": "Hello!"}]
)

print(response.choices[0].message.content)

import OpenAI from "openai"
import { PORTKEY_GATEWAY_URL } from "portkey-ai"

// 1. Install: npm install openai portkey-ai
// 2. Add @jina provider in model catalog
// 3. Use it:

const client = new OpenAI({
    apiKey: "PORTKEY_API_KEY",  // Portkey API key
    baseURL: PORTKEY_GATEWAY_URL
})

const response = await client.chat.completions.create({
    model: "@jina/jina-embeddings-v2-base-en",
    messages: [{ role: "user", content: "Hello!" }]
})

console.log(response.choices[0].message.content)

curl https://api.portkey.ai/v1/embeddings \
    -H "Content-Type: application/json" \
    -H "x-portkey-api-key: $PORTKEY_API_KEY" \
    -H "x-portkey-provider: @jina" \
    -d '{
        "model": "jina-embeddings-v2-base-en",
        "input": "embed this text"
    }'

from portkey_ai import Portkey

portkey = Portkey(api_key="PORTKEY_API_KEY", provider="@jina")

embeddings = portkey.embeddings.create(
    model="jina-embeddings-v2-base-en",
    input="embed this text"
)

print(embeddings.data[0].embedding)

import Portkey from 'portkey-ai';

const portkey = new Portkey({
    apiKey: 'PORTKEY_API_KEY',
    provider: '@jina'
});

const embeddings = await portkey.embeddings.create({
    model: "jina-embeddings-v2-base-en",
    input: "embed this text"
});

console.log(embeddings.data[0].embedding);

curl https://api.portkey.ai/v1/rerank \
    -H "Content-Type: application/json" \
    -H "x-portkey-api-key: $PORTKEY_API_KEY" \
    -H "x-portkey-provider: @jina" \
    -d '{
        "model": "jina-reranker-v1-base-en",
        "query": "Organic skincare products for sensitive skin",
        "documents": [
            "Eco-friendly kitchenware for modern homes",
            "Biodegradable cleaning supplies for eco-conscious consumers",
            "Organic cotton baby clothes for sensitive skin"
        ],
        "top_n": 2
    }'

from portkey_ai import Portkey

portkey = Portkey(api_key="PORTKEY_API_KEY", provider="@jina")

response = portkey.post(
    "/rerank",
    model="jina-reranker-v1-base-en",
    query="Organic skincare products for sensitive skin",
    documents=[
        "Eco-friendly kitchenware for modern homes",
        "Biodegradable cleaning supplies for eco-conscious consumers",
        "Organic cotton baby clothes for sensitive skin"
    ],
    top_n=2
)

print(response)

import Portkey from 'portkey-ai';

const portkey = new Portkey({
    apiKey: 'PORTKEY_API_KEY',
    provider: '@jina'
});

const response = await portkey.post(
    "/rerank",
    {
        model: "jina-reranker-v1-base-en",
        query: "Organic skincare products for sensitive skin",
        documents: [
            "Eco-friendly kitchenware for modern homes",
            "Biodegradable cleaning supplies for eco-conscious consumers",
            "Organic cotton baby clothes for sensitive skin"
        ],
        top_n: 2
    }
);

console.log(response);