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Open Source LLM proxy that transparently captures and logs all interactions with LLM API

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<a href="https://promptsail.com/?utm_source=github&utm_medium=logo" target="_blank">
 <img src="docs/assets/images/Logo-teal_black.png" alt="Prompt Sail" width="390" height="91">
 </a>
 
 
 LLM’s proxy for prompt and response governance, monitoring, and analysis. 📊🔍

> ⚠️ **Prompt Sail is currently in Development**: Expect breaking changes and bugs! Feedback and contributions are welcome. Please see the [Contributing Guide](CONTRIBUTING.md) for more information.

<img alt="GitHub License" src="https://img.shields.io/github/license/promptsail/prompt_sail">
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 <img alt="GitHub closed issues" src="https://img.shields.io/github/issues-closed/promptsail/prompt_sail"/>

## What is Prompt Sail?

Prompt Sail is a proxy for Large Language Models (LLMs) API's such as OpenAI GPT models, Azure OpenAI, Anthropic Clude etc. that allows you to record prompts and responses, analyze costs, generation speed, compare and track trends and changes across various models and projects over time.

![Prompt Sail dashboard](https://raw.githubusercontent.com/PromptSail/prompt_sail/main/docs/assets/images/LLM_Project_dashboard_budget_v2.png)

To learn more about Prompt Sail’s features and capabilities, see

* [Documentation](https://promptsail.github.io/prompt_sail/) 📖
   * [Quick Start Guide](https://promptsail.com/docs/quick-start-guide/) - How to run Prompt Sail locally via docker.
   * [Advanced Features](https://promptsail.com/docs/storing-transactions/) - 
   API access, transctions capturing logic, and more.
   * [Deployment Cookbook](https://promptsail.com/docs/deploy-promptsail-cookbook) - How to deploy Prompt Sail on various cloud providers.
   * [Developers Guide](https://promptsail.com/docs/development-environment/) - Development environment setup, database schema, testing, and more.
* [Examples](https://github.com/PromptSail/prompt_sail/tree/main/examples) 💻
    * [OpenAI SDK -> OpenAI API](/examples/openai_sdk_openai.ipynb)
    * [Langchain SDK -> OpenAI API](/examples/langchain_openai.ipynb)
    * [OpenAI SDK -> Azure OpenAI](/examples/openai_sdk_azure_openai.ipynb)
    * [Langchain SDK -> Azure OpenAI](/examples/langchain_azure_openai.ipynb)
    * [Langchain SDK -> Azure OpenAI Ada embeddings](/examples/langchain_azure_oai_embeddings.ipynb)

* [API Reference](https://try-promptsail.azurewebsites.net/api/docs). -->

## Getting started 🚀

The easiest way is to test our demo at **https://try-promptsail.azurewebsites.net/** (every new deployment erases the database)

Check out the documentation [how to run PromptSail locally via docker.](https://promptsail.com/docs/quick-start-guide/)

### Run Prompt Sail locally via Docker Compose 🐳

To try out Start Prompt on your own machine, we recommend using docker-compose.

### Requirements 📋

* installed docker and docker-compose on your machine [Windows](https://docs.docker.com/docker-for-windows/install/) | [Mac](https://docs.docker.com/docker-for-mac/install/) | [Linux](https://docs.docker.com/engine/install/ubuntu/)
* git clone repository and navigate to main directory
```bash
git clone https://github.com/PromptSail/prompt_sail.git
cd prompt_sail
```

### Run docker images 🏗️

Build and run the docker image:

```bash
docker-compose -f docker-compose-build.yml up --build
```

Pull and run the Docker images from GHCR:

```bash
docker-compose -f docker-compose.yml up
```

### Create a project 📝

Navigate to http://localhost:80 and add you AI provider of choice.

### Modify your code to use Prompt Sail proxy 👨‍💻

To use Prompt Sail with `openai` Python library, you need to set `OPENAI_API_BASE` environment variable, or
modify `openai.api_base` parameter to point to your Prompt Sail project.

```python
from openai import OpenAI
import os
from dotenv import load_dotenv
from pprint import pprint

load_dotenv()

openai_key = os.getenv("OPENAI_API_KEY")
openai_org_id = os.getenv("OPENAI_ORG_ID")

api_base = "http://localhost:8000/project1/openai/"

ps_client = OpenAI(
    base_url=api_base,
    api_key=openai_key,
)

response = ps_client.chat.completions.create(
    model="gpt-3.5-turbo",
    messages=[
        {
            "role": "system",
            "content": "You are a poetic assistant, skilled in explaining complex programming concepts with creative flair.",
        },
        {
            "role": "user",
            "content": "Compose a poem that explains the concept of recursion in programming.",
        },
    ],
)

pprint(response.choices[0].message)
```

Using Prompt Sail with `langchain` is similar:
```python
from langchain.chat_models import ChatOpenAI
from langchain.prompts.chat import (
    ChatPromptTemplate,
    HumanMessagePromptTemplate,
    SystemMessagePromptTemplate,
)
from langchain.schema import HumanMessage, SystemMessage

haiku_prompt = [
    SystemMessage(
        content="You are a poetic assistant, skilled in explaining complex programming concepts with creative flair.",
    ),
    HumanMessage(
        content="Compose a haiku that explains the concept of recursion in programming.",
    ),
]
chat = ChatOpenAI(
    temperature=0.9,
    openai_api_key=openai_key,
    openai_organization=openai_org_id,
    model="gpt-3.5-turbo-1106",
)

chat(haiku_prompt)
```

## Contact 📞

- Bugs & requests: [file a GitHub ticket](https://github.com/PromptSail/prompt_sail/issues/new/choose) 🐞
- For business inquiries: email contact@promptsail.com. 📧
- Our website: [https://promptsail.com](https://promptsail.com) 🌐

## License 📜

Prompt Sail is free and open source, under the [MIT license](LICENSE).

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