mirror of https://github.com/vxcontrol/langchaingo.git synced 2026-08-24 21:31:28 -04:00

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Dmitry Ng 064f09155c chore(deps): bump Go toolchain to 1.26.5 and fix vulnerable dependencies

- Raised the `go` directive from 1.24.1 to 1.26.5 to satisfy pgx/v5 and ollama's minimum Go version requirements and to pick up 15 patched standard library CVEs.
- Updated `pgx/v5`, `otel`/`otel/sdk`/`otlptracehttp`, `x/net`, and the AWS `eventstream` protocol package to their latest requested versions.
- Remediated govulncheck-flagged CVEs in `grpc`, `x/text`, `x/crypto`, `antchfx/xpath`, AWS SDK `bedrock*`/`s3` services, `etcd/server`, and `mongo-driver` v1/v2.
- Fixed ollama's `MainGPU` API type change (`int` -> `*int`) in `llms/ollama/options.go` without breaking the public `WithRunnerMainGPU` signature.

2026-08-04 13:57:26 +03:00

go.mod

chore(deps): bump Go toolchain to 1.26.5 and fix vulnerable dependencies

2026-08-04 13:57:26 +03:00

go.sum

chore(deps): bump Go toolchain to 1.26.5 and fix vulnerable dependencies

2026-08-04 13:57:26 +03:00

perplexity_completion_example.go

feat: integrate streaming functionality across LLMs and callbacks

2025-06-23 18:52:06 +03:00

README.md

Add perplexity completion example (#977 )

2024-09-12 17:14:28 -07:00

README.md

Perplexity Completion Example with LangChain Go

Hello there! 👋 This example demonstrates how to use the Perplexity API with LangChain Go to generate creative text completions. Let's break down what this exciting little program does!

What This Example Does

Environment Setup:
- The program starts by loading environment variables from a .env file. This is where you'll store your Perplexity API key.
Perplexity LLM Configuration:
- It sets up a Large Language Model (LLM) client using Perplexity's API, which is compatible with the OpenAI interface.
- The model used is "llama-3.1-sonar-large-128k-online", a powerful language model hosted by Perplexity.
Text Generation:
- The example prompts the model to "What is a prime number?"
Streaming Output:
- As the model generates text, it streams the output directly to the console, allowing you to see the response being created in real-time!

Cool Features

Real-time Streaming: Watch as the AI crafts the response word by word!
Customizable: You can easily modify the prompt or adjust generation parameters.
Perplexity Integration: Showcases how to use Perplexity's powerful models with LangChain Go.

Running the Example

Make sure you have a Perplexity API key and set it in your .env file as PERPLEXITY_API_KEY=your_api_key_here.
Run the program and watch as it generates a creative response about prime numbers right before your eyes!

You can read more about the perplexity API here: Perplexity API Documentation.

Enjoy exploring the creative possibilities with Perplexity and LangChain Go! 🚀🐹