├── README.md ├── bettershot ├── __init__.py └── __pycache__ │ └── __init__.cpython-311.pyc ├── dist ├── bettershot-0.1.0-py3-none-any.whl ├── bettershot-0.1.0.tar.gz ├── bettershot-0.1.1-py3-none-any.whl ├── bettershot-0.1.1.tar.gz ├── bettershot-0.1.2-py3-none-any.whl ├── bettershot-0.1.2.tar.gz ├── bettershot-0.1.3-py3-none-any.whl ├── bettershot-0.1.3.tar.gz ├── bettershot-0.1.4-py3-none-any.whl ├── bettershot-0.1.4.tar.gz ├── bettershot-0.1.5-py3-none-any.whl ├── bettershot-0.1.5.tar.gz ├── bettershot-0.1.6-py3-none-any.whl ├── bettershot-0.1.6.tar.gz ├── bettershot-0.1.7-py3-none-any.whl ├── bettershot-0.1.7.tar.gz ├── bettershot-0.1.8-py3-none-any.whl ├── bettershot-0.1.8.tar.gz ├── bettershot-0.1.9-py3-none-any.whl ├── bettershot-0.1.9.tar.gz ├── bettershot-0.1.91-py3-none-any.whl ├── bettershot-0.1.91.tar.gz ├── bettershot-0.1.92-py3-none-any.whl └── bettershot-0.1.92.tar.gz ├── poetry.lock ├── pyproject.toml └── tests └── __init__.py /README.md: -------------------------------------------------------------------------------- 1 | # bettershot 💡🚀 2 | 3 | ⚡️ A Python package for adding error monitoring to LLM Apps in a few minutes ⚡ 4 | 5 | >BetterShot by BerriAI let’s you add error (hallucinations/refusal to answer) monitoring to your LLM App in a few minutes. Like Bugsnag/Sentry for LLM apps! 6 | 7 | ## How it works 8 | We designed Bettershot to flag errors in retrieval-augmented LLM Apps (i.e. you're trying to get GPT to answer questions over specific data). 9 | 10 | Bettershot aims to detect 3 things: 11 | - Was the question relevant to the data (i.e. filter out questions like "how's the weather?" if the chatbot's purpose was to answer questions on the history of jeans) 12 | 13 | If relevant then, 14 | - Did the model response invent new information when answering the question (i.e. information that was **not** in the prompt passed in) 15 | - Did the model refuse to answer the question (e.g. "Sorry as an AI language model...") 16 | 17 | We do this by using chatgpt (currently `gpt-3.5-turbo-16k`) to evaluate each prompt-response pair and determine these things. 18 | 19 | #### Key Technical Challenges 20 | 21 | **LLM-based evaluations are inconsistent** 22 | We solved this by doing 2 things: 23 | - We ask the LLM to write a rationale before making it's decision. Similar to CoT, this helps the model think through the decision - making results more consistent and understandable. 24 | - We evaluate each prompt-response pair 5 times. Each evaluation returns either True or False, along with the model's rationale for why it chose what it did. We then pick the evaluation (True/False) that occurs most, along with the model rationale to explain reasoning. 25 | 26 | We base this on the assumption that if it made the same decision 4 times out of 5, then it's probably the right one (minimizing inconcistencies as much as possible). 27 | 28 | **Latency for Production Applications** 29 | We do **not** want to add latency to your application. When you call our API endpoint, we pass your request in a separate thread, and immediately return a `response received` message - ending the call. This ensures minimal latency (`~0.004s`) is added to your application. 30 | 31 | >We will be sharing the prompts soon! Reach out to us @ krrish@berri.ai if that's a blocker to using this. 32 | 33 | ## Getting Started 34 | 35 | Install bettershot by running this command.: 36 | 37 | `pip install bettershot` 38 | 39 | ## Using bettershot 40 | 41 | It's just 1 line of code: 42 | 43 | `log(messages=messages, completion=result, user_email="YOUR_EMAIL", query=query)` 44 | 45 | Screen Shot 2023-06-13 at 10 08 36 AM 46 | 47 | ### Dashboard 48 | 49 | All your logs are available @ 'https://better-test.vercel.app/' + YOUR_EMAIL 50 | 51 | e.g. 52 | `log(messages=messages, completion=result, user_email="krrish@berri.ai", query=query)` 53 | 54 | will have it's results logged @ 55 | 56 | `https://better-test.vercel.app/krrish@berri.ai` 57 | 58 | ### Implementation 59 | 60 | Here are all the items you can log: 61 | 62 | | Parameter | Type | Required/Optional | Description | 63 | | --------- | ---- | ----------------- | ----------- | 64 | | `messages` | List | Required | The list of messages sent to the OpenAI chat completions endpoint | 65 | | `completion` | Dictionary | Required | The response received from the OpenAI chat completions endpoint | 66 | | `user_email` | String | Required | Your user email | 67 | | `query` | String | Required | The query being asked by your user | 68 | | `customer_id` | String | Optional | A way to identify your customer | 69 | 70 | Here's 2 examples of using it: 71 | 72 | ### Calling the 'raw' OpenAI API 73 | ``` 74 | from bettershot import log 75 | import openai 76 | 77 | def simple_openai_call(query): 78 | messages = [{'role': 'user', 'content': query}] 79 | completion = openai.ChatCompletion.create( 80 | model="gpt-3.5-turbo", 81 | messages=messages 82 | 83 | ) 84 | log(messages=messages, completion=completion, user_email="YOUR_EMAIL", query=query, customer_id="fake_user@fake_accounts.xyz") #JUST 1 LINE OF CODE 🤯 85 | 86 | simple_openai_call("hey! how's it going?") 87 | ``` 88 | 89 | ### Calling the Langchain OpenAI API 90 | 91 | ``` 92 | import openai 93 | import langchain 94 | from bettershot import log 95 | 96 | def simple_langchain_call(query): 97 | chat = ChatOpenAI(model="gpt-3.5-turbo", temperature=0.7) 98 | prompt = "You are an extremely intelligent AI assistant for BerriAI, answer all questions resepectfully and in a warm tone" 99 | messages = [ 100 | SystemMessage(content=prompt), 101 | HumanMessage(content=query) 102 | ] 103 | result = chat(messages) 104 | log(messages=messages, completion=completion, user_email="YOUR_EMAIL", query=query, customer_id="fake_user@fake_accounts.xyz") #JUST 1 LINE OF CODE 🎉 105 | 106 | simple_langchain_call("hey! how's it going?") 107 | ``` 108 | 109 | bettershot automatically evaluates your OpenAI responses to determine if the model either invented new information (hallucination) or refused to answer ("Sorry, as an AI language model...") a user's question. 110 | 111 | ## Contributing 112 | 113 | We welcome contributions to bettershot! Feel free to create issues/PR's/or DM us (👋 Hi I'm Krrish - +17708783106) 114 | 115 | ## License 116 | 117 | bettershot is released under the [MIT License](https://github.com/bettershot/readme/blob/master/LICENSE). 118 | -------------------------------------------------------------------------------- /bettershot/__init__.py: -------------------------------------------------------------------------------- 1 | __version__ = '0.1.92' 2 | import requests 3 | import json 4 | from langchain.schema import (AIMessage, HumanMessage, SystemMessage) 5 | 6 | url = "https://bettershot-w6mm.zeet-berri.zeet.app/openai_listener" 7 | 8 | def log(messages, completion, user_email, query, customer_id=None, openai_api_key=None): 9 | raw_messages = [] 10 | for message in messages: 11 | if isinstance(message, SystemMessage): 12 | # messages': [{'role': 'user', 'content': "Hey! how's it going?"}] 13 | raw_message = {"role": "system", "content": message.content} 14 | elif isinstance(message, HumanMessage): 15 | raw_message = {"role": "user", "content": message.content} 16 | elif isinstance(message, AIMessage): 17 | raw_message = {"role": "ai", "content": message.content} 18 | else: 19 | raw_message = message 20 | raw_messages.append(raw_message) 21 | if isinstance(completion, AIMessage): 22 | raw_completion = {"choices":[{"message": {"content": completion.content}}]} 23 | else: 24 | raw_completion = completion 25 | payload = { 26 | "messages": raw_messages, 27 | "completion": raw_completion, 28 | "user_email": user_email, 29 | "user_query": query, 30 | "customer_id": customer_id 31 | } 32 | headers = { 33 | "Content-Type": "application/json", 34 | } 35 | response = requests.post(url, headers=headers, data=json.dumps(payload)) 36 | print(response) 37 | return {"dashboard" : "https://better-test.vercel.app/" + user_email} 38 | -------------------------------------------------------------------------------- /bettershot/__pycache__/__init__.cpython-311.pyc: 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https://raw.githubusercontent.com/BerriAI/bettershot/26b2a6924bac0de7adf481b58b61bce038d21b27/tests/__init__.py --------------------------------------------------------------------------------