llama3-1-70b-instruct-v1.0

completions

bybedrock

llama3-1-70b-instruct-v1.0

completions

Published by: metaProvider:

bedrock

Ideal for content creation, conversational AI, language understanding, research development, and enterprise applications. With new latency-optimized inference capabilities available in public preview, this model sets a new performance benchmark for AI solutions that process extensive text inputs, enabling applications to respond more quickly and handle longer queries more efficiently.

Context

128K

Input

$0.72 / 1M tokens

Output

$0.72 / 1M tokens

Capabilities: tools

Accepts: text

Returns: text

Context: 128K Input: $0.72 / 1M tokensOutput: $0.72 / 1M tokensCapabilities: toolsAccepts: textReturns: text

Access llama3-1-70b-instruct-v1.0 through LangDB AI Gateway

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Integrate with meta's llama3-1-70b-instruct-v1.0 and 250+ other models through a unified API. Monitor usage, control costs, and enhance security.

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Code Examples

Integration samples and API usage

Code Samples for llama3-1-70b-instruct-v1.0

Python SDK Example:

from openai import OpenAI

client = OpenAI(
    base_url="https://api.us-east-1.langdb.ai/projects/<your_project_id>",
    api_key="<your_api_key>"
)

response = client.chat.completions.create(
    model="llama3-1-70b-instruct-v1.0",
    messages=[
        {"role": "user", "content": "Hello, how are you?"}
    ]
)

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

TypeScript SDK Example:

import OpenAI from 'openai';

const client = new OpenAI({
    baseURL: "https://api.us-east-1.langdb.ai/projects/<your_project_id>",
    apiKey: "<your_api_key>"
});

const response = await client.chat.completions.create({
    model: "llama3-1-70b-instruct-v1.0",
    messages: [
        { role: "user", content: "Hello, how are you?" }
    ]
});

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

cURL Example:

curl -X POST "https://api.us-east-1.langdb.ai/projects/<your_project_id>/v1/chat/completions" \
  -H "Authorization: Bearer <your_api_key>" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "llama3-1-70b-instruct-v1.0",
    "messages": [
        {"role": "user", "content": "Hello, how are you?"}
    ]
  }'

Model: llama3-1-70b-instruct-v1.0

Provider: bedrock

API Endpoint: $https://api.us-east-1.langdb.ai

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