├── .env.example
├── .gitignore
├── LICENSE
├── README.md
├── gpt-4-search.py
├── poetry.lock
└── pyproject.toml


/.env.example:
--------------------------------------------------------------------------------
1 | OPENAI_API_KEY=
2 | GOOGLE_API_KEY=
3 | GOOGLE_CSE_ID=
4 | 


--------------------------------------------------------------------------------
/.gitignore:
--------------------------------------------------------------------------------
1 | .env
2 | *.log


--------------------------------------------------------------------------------
/LICENSE:
--------------------------------------------------------------------------------
 1 | MIT License
 2 | 
 3 | Copyright (c) 2018 Ashish's Web / kcak11.com / ashishkumarkc.com
 4 | 
 5 | Permission is hereby granted, free of charge, to any person obtaining a copy
 6 | of this software and associated documentation files (the "Software"), to deal
 7 | in the Software without restriction, including without limitation the rights
 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 9 | copies of the Software, and to permit persons to whom the Software is
10 | furnished to do so, subject to the following conditions:
11 | 
12 | The above copyright notice and this permission notice shall be included in all
13 | copies or substantial portions of the Software.
14 | 
15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
21 | SOFTWARE.
22 | 


--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------
  1 | # GPT-4 with Search
  2 | 
  3 | This is a command-line GPT-4 REPL that utilizes Google to search for the latest information. Its main objective is to showcase how a plugin system can be integrated into an LLM such as GPT-4.
  4 | 
  5 | ## Usage
  6 | 
  7 | <video src='https://user-images.githubusercontent.com/9637710/230850187-dcc847c3-5c56-4e36-9f42-b48474915c66.mp4'></video>
  8 | <video src='https://user-images.githubusercontent.com/9637710/230764961-ea90e864-e01d-4d41-96e3-1cacf44e5e14.mp4'></video>
  9 | <video src='https://user-images.githubusercontent.com/9637710/230764959-dccc567e-0639-4b71-92c9-9fa35d4eb8ee.mp4'></video>
 10 | 
 11 | ## Install
 12 | 
 13 | 1. Get a OpenAI API key from [here](https://platform.openai.com/account/api-keys), make sure you have access to GPT-4 API endpoint.
 14 | 2. Get a Google Serach API key according to the [Instruction](https://stackoverflow.com/questions/37083058/programmatically-searching-google-in-python-using-custom-search).
 15 | 3. Clone the repo.
 16 | 4. Copy `.env.template` to `.env` and then fill in the API keys.
 17 | 5. Install the dependencies.
 18 | ```
 19 | poetry install
 20 | ```
 21 | 6. Run the script.
 22 | ```
 23 | poetry run python gpt-4-search.py
 24 | ```
 25 | 
 26 | ## How it works
 27 | 
 28 | The first step of the script is to present a list of plugins available for GPT-4. This list will then be merged with the user prompt and sent to GPT-4. The output will be analyzed to identify any plugin calls. If a plugin call is detected, it will be executed and its result added to the message context before being sent back to GPT-4 for further processing. This cycle continues until GPT-4 returns a response without any plugin calls.
 29 | 
 30 | The log file from the demo reveals the mechanics behind the scenes:
 31 | 
 32 | ````markdown
 33 | 2023-04-08 00:20:12,662 INFO:user-input: compare the pros and cons for golang and rust
 34 | 2023-04-08 00:20:12,684 INFO:gpt-context: [HumanMessage(content="You are an helpful and kind assistant to answer questions that can use tools to interact with real world and get access to the latest information. You can call one of the following functions:\n- SEARCH(query: string) searches the web, and returns the top snippets, it'll be better if the query string is in english\n- SUMMARIZE(snippet_ids: uint[]) click into the search result, useful when you want to investigate the detail of the search result\n- PYTHON(code: string) evaluates the code in a python interpreter, wrap code in triple quotes\nIn each response, you must start with a function call. Don't explain why you use a tool. If you cannot figure out the answer, you say ’I don’t know’. When you are generating answers according to the search result, link your answers to the snippet id and use the same language as the questioner\nQ:compare the pros and cons for golang and rust", additional_kwargs={})]
 35 | 2023-04-08 00:20:16,021 INFO:gpt-response: SEARCH("compare the pros and cons of golang and rust")
 36 | 2023-04-08 00:20:16,021 INFO:cost: $0.0, total_tokens: 0
 37 | 2023-04-08 00:20:16,121 INFO:file_cache is only supported with oauth2client<4.0.0
 38 | 2023-04-08 00:20:16,881 INFO:[{'link': 'https://www.agiratech.com/rust-vs-go', 'query': 'compare the pros and cons of golang and rust'}, {'link': 'https://itnext.io/rust-vs-go-cc38b7048181', 'query': 'compare the pros and cons of golang and rust'}, {'link': 'https://blog.logrocket.com/when-to-use-rust-when-to-use-golang/', 'query': 'compare the pros and cons of golang and rust'}, {'link': 'https://www.myhatchpad.com/insight/choosing-between-rust-or-go/', 'query': 'compare the pros and cons of golang and rust'}, {'link': 'https://blog.logrocket.com/comparing-elixir-rust-go/', 'query': 'compare the pros and cons of golang and rust'}]
 39 | 2023-04-08 00:20:16,882 INFO:tool-result: ```result
 40 | [0] Rust vs Golang: Which One To Choose And Why? | A Comparison ...
 41 | Nov 19, 2019 ... Pros and Cons of Golang development. Advantages of Go. Golang is faster than many other programming languages like JavaScript, Java, Python, ...
 42 | [1] Rust vs. GO. My goal is to compare both languages… | by Javier ...
 43 | Apr 27, 2022 ... In short, Rust is cheaper to run and performs better, also Rust programmers are extremely good, if you use Rust you will attract talent. The ...
 44 | [2] When to use Rust and when to use Go - LogRocket Blog
 45 | May 18, 2022 ... Go has a stronger focus on building web APIs and small services that can scale endlessly, especially with the power of Goroutines. The latter is ...
 46 | [3] What are the Pros and Cons of Rust and Go? - Hatchpad
 47 | One expert's take on the Pros, Cons, and Controversies of each language. If you have written code in either Rust or Go, you'll recognize some similarities ...
 48 | [4] Comparing Elixir with Rust and Go - LogRocket Blog
 49 | Oct 19, 2022 ... What is Erlang? What is Elixir? Elixir pros. Concurrency and scalability; Fault-tolerance; Easier learning curve. Elixir cons. Dynamically typed ...
 50 | 
 51 | ```
 52 | 2023-04-08 00:20:16,883 INFO:gpt-context: [HumanMessage(content="You are an helpful and kind assistant to answer questions that can use tools to interact with real world and get access to the latest information. You can call one of the following functions:\n- SEARCH(query: string) searches the web, and returns the top snippets, it'll be better if the query string is in english\n- SUMMARIZE(snippet_ids: uint[]) click into the search result, useful when you want to investigate the detail of the search result\n- PYTHON(code: string) evaluates the code in a python interpreter, wrap code in triple quotes\nIn each response, you must start with a function call. Don't explain why you use a tool. If you cannot figure out the answer, you say ’I don’t know’. When you are generating answers according to the search result, link your answers to the snippet id and use the same language as the questioner\nQ:compare the pros and cons for golang and rust", additional_kwargs={}), AIMessage(content='SEARCH("compare the pros and cons of golang and rust")', additional_kwargs={}), AIMessage(content="```result\n[0] Rust vs Golang: Which One To Choose And Why? | A Comparison ...\nNov 19, 2019 ... Pros and Cons of Golang development. Advantages of Go. Golang is faster than many other programming languages like JavaScript, Java, Python,\xa0...\n[1] Rust vs. GO. My goal is to compare both languages… | by Javier ...\nApr 27, 2022 ... In short, Rust is cheaper to run and performs better, also Rust programmers are extremely good, if you use Rust you will attract talent. The\xa0...\n[2] When to use Rust and when to use Go - LogRocket Blog\nMay 18, 2022 ... Go has a stronger focus on building web APIs and small services that can scale endlessly, especially with the power of Goroutines. The latter is\xa0...\n[3] What are the Pros and Cons of Rust and Go? - Hatchpad\nOne expert's take on the Pros, Cons, and Controversies of each language. If you have written code in either Rust or Go, you'll recognize some similarities\xa0...\n[4] Comparing Elixir with Rust and Go - LogRocket Blog\nOct 19, 2022 ... What is Erlang? What is Elixir? Elixir pros. Concurrency and scalability; Fault-tolerance; Easier learning curve. Elixir cons. Dynamically typed\xa0...\n\n```", additional_kwargs={})]
 53 | 2023-04-08 00:20:19,548 INFO:gpt-response: SUMMARIZE([0, 1, 2, 3])
 54 | 2023-04-08 00:20:19,548 INFO:cost: $0.0, total_tokens: 0
 55 | 2023-04-08 00:20:35,008 INFO:tool-result: ```result
 56 | [0]
 57 | The present languages used for the development process are far more advanced.
 58 | Rust and Go have numerous set of advantages and used for web development
 59 | projects all over the world. Both the open-source programming language offers
 60 | some advanced features for developing efficient software, integrated
 61 | toolchain, memory safety and has a strong community of users.  
 62 | Even though both have a few similarities, they also have drastic differences
 63 | between each other. What are the major differences? Developing from scratch,
 64 | meeting various requisites and writing different types of programs.  
 65 | You will have a clear overview of when you can use it with the pros and cons
 66 | listed for both the languages. Depending on your requisites differs the choice
 67 | of programming language. On thinking about the coding experience and
 68 | popularity. Both the language share the same birth year. The Golang popularity
 69 | is on a hike from the beginning, But Rust has been experiencing stable growth
 70 | in popularity over these years with a strong community.
 71 | Rust vs Go: A Comparison
 72 | [1]
 73 | In summary, both languages compile to a binary that consume very little
 74 | resources, Rust is faster and has lower footprint but harder to learn unless
 75 | your team already knows C.
 76 | 
 77 | # If you are a manager…
 78 | 
 79 |   * Use GO for **Serverless** computing and FaaS.
 80 |   * Use GO if you are running in Google Cloud since most of the GCP services are based on GO APIs.
 81 |   * Use Rust for critical concurrent applications, monoliths or real time systems.
 82 |   * Use Rust to attract highly skilled developers.
 83 |   * Use Rust for large code bases and complex projects.
 84 |   * Use Rust to build **greener** projects.
 85 |   * If you are looking to add a new language and you cannot spend much time learning it, GO is easier to adopt than Rust.
 86 |   * Use any for microservices or Kubernetes.
 87 | Generally speaking **Rust will outperform Go** , but not by much and it will
 88 | vary depending on the use case, this is because of the garbage collector.
 89 | Depending on how often the **GC** runs the results may change. This is a
 90 | drawback in Go: **predictability**. Although the performance differences may
 91 | not be huge, Rust performance is predictable.
 92 | 
 93 | You can find some initial comparison here. As you can see, in Go, it is easy
 94 | to make mistakes that heavily affects performance. In other words, if you
 95 | don’t pay close attention and understand how Go works, your code will not
 96 | perform great and may have runtime defects, whereas in Rust, the compiler
 97 | guides you and force you to write high performant and safe code.
 98 | [2]
 99 | Right off the bat, there are clear differences between Go and Rust. Go has a
100 | stronger focus on building web APIs and small services that can scale
101 | endlessly, especially with the power of Goroutines. The latter is also
102 | possible with Rust, but things are much harder from a developer experience
103 | point of view.
104 | 
105 | Rust works well for processing large amounts of data and other CPU-intensive
106 | operations, such as executing algorithms. This is Rust’s biggest edge over Go;
107 | projects that demand high performance are generally better suited for Rust.
108 | 
109 | In this tutorial, we'll compare and contrast Go and Rust, evaluating each
110 | programming language for performance, concurrency, memory management, and the
111 | overall developer experience. We'll also present an overview of these elements
112 | to help you pick the right language for your project at a glance.
113 | 
114 | If you're just starting out with Rust, it might be a good idea to brush up on
115 | this beginner's guide before you read any further.
116 | Go vs. Rust: My honest take
117 | 
118 | Let's start by highlighting the similarities. Both Go and Rust are open-source
119 | and designed to support the microservices architecture and parallel computing
120 | environments. Both optimize the utilization of available CPU cores through
121 | concurrency.
122 | 
123 | But at the end of the day, which language is best?
124 | 
125 | There many ways to approach this question. I'd recommend thinking about what
126 | type of application you want to build. Go serves well for creating web
127 | applications and APIs that take advantage of its built-in concurrency features
128 | while supporting the microservices architecture.
129 | 
130 | You can also use Rust to develop a web API, but it wasn't designed with this
131 | use case in mind. Rust’s focus on memory-safety increases complexity and
132 | development time, especially for a fairly simple web API. However, the larger
133 | amount of control you have over your code allows you to write more optimized,
134 | memory-efficient, and performant code.
135 | [3]
136 | **THE BACKSTAGE PASS INTO STARTUP TECH TEAMS**
137 | 
138 | Each week we send an email with insights from our conversations with startup
139 | tech leaders and technologists.
140 | 
141 | Leave this field empty if you're human:
142 | 
143 | # Pros and Cons of Rust and Go
144 | 
145 | **One expert’s take on the Pros, Cons, and Controversies of each language.**
146 | 
147 | If you have written code in either Rust or Go, you’ll recognize some
148 | similarities and differences between them. While there is some overlap between
149 | the goals of the two languages, there are plenty of differences between the
150 | two. Each language offers benefits depending on the problem you’re trying to
151 | solve.
152 | When it comes to choosing between the two languages, I think in some ways it’s
153 | more about your programming background than the specific problem you’re trying
154 | to solve. You could probably frame most problems in a way that would fit into
155 | a Rust codebase or a Go codebase.
156 | 
157 | In my experience at a startup, we chose to use Go, especially when we were in
158 | a period of rapid growth because it was easy to pick up. New team members
159 | could quickly start contributing and help build systems.
160 | 
161 | That’s definitely not exactly the case for Rust. It has a steeper learning
162 | curve due to its unique memory model and can feel difficult to pick up. I’ve
163 | found that teams with a C++ or Java background will likely pick it up quickly.
164 | It seems to draw people who come from “big” languages rather than “small”
165 | ones, if that makes sense.
166 | 
167 | ```
168 | 2023-04-08 00:20:35,009 INFO:gpt-context: [HumanMessage(content="You are an helpful and kind assistant to answer questions that can use tools to interact with real world and get access to the latest information. You can call one of the following functions:\n- SEARCH(query: string) searches the web, and returns the top snippets, it'll be better if the query string is in english\n- SUMMARIZE(snippet_ids: uint[]) click into the search result, useful when you want to investigate the detail of the search result\n- PYTHON(code: string) evaluates the code in a python interpreter, wrap code in triple quotes\nIn each response, you must start with a function call. Don't explain why you use a tool. If you cannot figure out the answer, you say ’I don’t know’. When you are generating answers according to the search result, link your answers to the snippet id and use the same language as the questioner\nQ:compare the pros and cons for golang and rust", additional_kwargs={}), AIMessage(content='SEARCH("compare the pros and cons of golang and rust")', additional_kwargs={}), AIMessage(content="```result\n[0] Rust vs Golang: Which One To Choose And Why? | A Comparison ...\nNov 19, 2019 ... Pros and Cons of Golang development. Advantages of Go. Golang is faster than many other programming languages like JavaScript, Java, Python,\xa0...\n[1] Rust vs. GO. My goal is to compare both languages… | by Javier ...\nApr 27, 2022 ... In short, Rust is cheaper to run and performs better, also Rust programmers are extremely good, if you use Rust you will attract talent. The\xa0...\n[2] When to use Rust and when to use Go - LogRocket Blog\nMay 18, 2022 ... Go has a stronger focus on building web APIs and small services that can scale endlessly, especially with the power of Goroutines. The latter is\xa0...\n[3] What are the Pros and Cons of Rust and Go? - Hatchpad\nOne expert's take on the Pros, Cons, and Controversies of each language. If you have written code in either Rust or Go, you'll recognize some similarities\xa0...\n[4] Comparing Elixir with Rust and Go - LogRocket Blog\nOct 19, 2022 ... What is Erlang? What is Elixir? Elixir pros. Concurrency and scalability; Fault-tolerance; Easier learning curve. Elixir cons. Dynamically typed\xa0...\n\n```", additional_kwargs={}), AIMessage(content='SUMMARIZE([0, 1, 2, 3])', additional_kwargs={}), AIMessage(content="```result\n[0]\nThe present languages used for the development process are far more advanced.\nRust and Go have numerous set of advantages and used for web development\nprojects all over the world. Both the open-source programming language offers\nsome advanced features for developing efficient software, integrated\ntoolchain, memory safety and has a strong community of users.  \nEven though both have a few similarities, they also have drastic differences\nbetween each other. What are the major differences? Developing from scratch,\nmeeting various requisites and writing different types of programs.  \nYou will have a clear overview of when you can use it with the pros and cons\nlisted for both the languages. Depending on your requisites differs the choice\nof programming language. On thinking about the coding experience and\npopularity. Both the language share the same birth year. The Golang popularity\nis on a hike from the beginning, But Rust has been experiencing stable growth\nin popularity over these years with a strong community.\nRust vs Go: A Comparison\n[1]\nIn summary, both languages compile to a binary that consume very little\nresources, Rust is faster and has lower footprint but harder to learn unless\nyour team already knows C.\n\n# If you are a manager…\n\n  * Use GO for **Serverless** computing and FaaS.\n  * Use GO if you are running in Google Cloud since most of the GCP services are based on GO APIs.\n  * Use Rust for critical concurrent applications, monoliths or real time systems.\n  * Use Rust to attract highly skilled developers.\n  * Use Rust for large code bases and complex projects.\n  * Use Rust to build **greener** projects.\n  * If you are looking to add a new language and you cannot spend much time learning it, GO is easier to adopt than Rust.\n  * Use any for microservices or Kubernetes.\nGenerally speaking **Rust will outperform Go** , but not by much and it will\nvary depending on the use case, this is because of the garbage collector.\nDepending on how often the **GC** runs the results may change. This is a\ndrawback in Go: **predictability**. Although the performance differences may\nnot be huge, Rust performance is predictable.\n\nYou can find some initial comparison here. As you can see, in Go, it is easy\nto make mistakes that heavily affects performance. In other words, if you\ndon’t pay close attention and understand how Go works, your code will not\nperform great and may have runtime defects, whereas in Rust, the compiler\nguides you and force you to write high performant and safe code.\n[2]\nRight off the bat, there are clear differences between Go and Rust. Go has a\nstronger focus on building web APIs and small services that can scale\nendlessly, especially with the power of Goroutines. The latter is also\npossible with Rust, but things are much harder from a developer experience\npoint of view.\n\nRust works well for processing large amounts of data and other CPU-intensive\noperations, such as executing algorithms. This is Rust’s biggest edge over Go;\nprojects that demand high performance are generally better suited for Rust.\n\nIn this tutorial, we'll compare and contrast Go and Rust, evaluating each\nprogramming language for performance, concurrency, memory management, and the\noverall developer experience. We'll also present an overview of these elements\nto help you pick the right language for your project at a glance.\n\nIf you're just starting out with Rust, it might be a good idea to brush up on\nthis beginner's guide before you read any further.\nGo vs. Rust: My honest take\n\nLet's start by highlighting the similarities. Both Go and Rust are open-source\nand designed to support the microservices architecture and parallel computing\nenvironments. Both optimize the utilization of available CPU cores through\nconcurrency.\n\nBut at the end of the day, which language is best?\n\nThere many ways to approach this question. I'd recommend thinking about what\ntype of application you want to build. Go serves well for creating web\napplications and APIs that take advantage of its built-in concurrency features\nwhile supporting the microservices architecture.\n\nYou can also use Rust to develop a web API, but it wasn't designed with this\nuse case in mind. Rust’s focus on memory-safety increases complexity and\ndevelopment time, especially for a fairly simple web API. However, the larger\namount of control you have over your code allows you to write more optimized,\nmemory-efficient, and performant code.\n[3]\n**THE BACKSTAGE PASS INTO STARTUP TECH TEAMS**\n\nEach week we send an email with insights from our conversations with startup\ntech leaders and technologists.\n\nLeave this field empty if you're human:\n\n# Pros and Cons of Rust and Go\n\n**One expert’s take on the Pros, Cons, and Controversies of each language.**\n\nIf you have written code in either Rust or Go, you’ll recognize some\nsimilarities and differences between them. While there is some overlap between\nthe goals of the two languages, there are plenty of differences between the\ntwo. Each language offers benefits depending on the problem you’re trying to\nsolve.\nWhen it comes to choosing between the two languages, I think in some ways it’s\nmore about your programming background than the specific problem you’re trying\nto solve. You could probably frame most problems in a way that would fit into\na Rust codebase or a Go codebase.\n\nIn my experience at a startup, we chose to use Go, especially when we were in\na period of rapid growth because it was easy to pick up. New team members\ncould quickly start contributing and help build systems.\n\nThat’s definitely not exactly the case for Rust. It has a steeper learning\ncurve due to its unique memory model and can feel difficult to pick up. I’ve\nfound that teams with a C++ or Java background will likely pick it up quickly.\nIt seems to draw people who come from “big” languages rather than “small”\nones, if that makes sense.\n\n```", additional_kwargs={})]
169 | 2023-04-08 00:21:04,309 INFO:gpt-response: Pros and Cons of Golang:
170 | Pros:
171 | - Faster than many other programming languages like JavaScript, Java, Python [0].
172 | - Easy to learn, making it suitable for quick onboarding of new team members [3].
173 | - Strong focus on building web APIs and small services that can scale endlessly, with the power of Goroutines [2].
174 | 
175 | Cons:
176 | - Performance may not be as predictable as Rust due to garbage collection [1].
177 | 
178 | Pros and Cons of Rust:
179 | Pros:
180 | - Faster and has a lower footprint than Golang [1].
181 | - Great for critical concurrent applications, monoliths, or real-time systems [1].
182 | - Attracts highly skilled developers [1].
183 | - Better suited for large code bases and complex projects [1].
184 | - More predictable performance [1].
185 | - Good for processing large amounts of data and other CPU-intensive operations like executing algorithms [2].
186 | 
187 | Cons:
188 | - Harder to learn, especially for those without a background in languages like C++ or Java [3].
189 | - Increased complexity and development time for simple web APIs due to its focus on memory safety [2].
190 | 
191 | 2023-04-08 00:21:04,309 INFO:cost: $0.0, total_tokens: 0
192 | 2023-04-08 00:21:04,309 INFO:no function call, so it is the answer
193 | 2023-04-08 00:21:09,410 INFO:user-input: thank you
194 | 2023-04-08 00:21:09,411 INFO:gpt-context: [HumanMessage(content="You are an helpful and kind assistant to answer questions that can use tools to interact with real world and get access to the latest information. You can call one of the following functions:\n- SEARCH(query: string) searches the web, and returns the top snippets, it'll be better if the query string is in english\n- SUMMARIZE(snippet_ids: uint[]) click into the search result, useful when you want to investigate the detail of the search result\n- PYTHON(code: string) evaluates the code in a python interpreter, wrap code in triple quotes\nIn each response, you must start with a function call. Don't explain why you use a tool. If you cannot figure out the answer, you say ’I don’t know’. When you are generating answers according to the search result, link your answers to the snippet id and use the same language as the questioner\nQ:compare the pros and cons for golang and rust", additional_kwargs={}), AIMessage(content='SEARCH("compare the pros and cons of golang and rust")', additional_kwargs={}), AIMessage(content="```result\n[0] Rust vs Golang: Which One To Choose And Why? | A Comparison ...\nNov 19, 2019 ... Pros and Cons of Golang development. Advantages of Go. Golang is faster than many other programming languages like JavaScript, Java, Python,\xa0...\n[1] Rust vs. GO. My goal is to compare both languages… | by Javier ...\nApr 27, 2022 ... In short, Rust is cheaper to run and performs better, also Rust programmers are extremely good, if you use Rust you will attract talent. The\xa0...\n[2] When to use Rust and when to use Go - LogRocket Blog\nMay 18, 2022 ... Go has a stronger focus on building web APIs and small services that can scale endlessly, especially with the power of Goroutines. The latter is\xa0...\n[3] What are the Pros and Cons of Rust and Go? - Hatchpad\nOne expert's take on the Pros, Cons, and Controversies of each language. If you have written code in either Rust or Go, you'll recognize some similarities\xa0...\n[4] Comparing Elixir with Rust and Go - LogRocket Blog\nOct 19, 2022 ... What is Erlang? What is Elixir? Elixir pros. Concurrency and scalability; Fault-tolerance; Easier learning curve. Elixir cons. Dynamically typed\xa0...\n\n```", additional_kwargs={}), AIMessage(content='SUMMARIZE([0, 1, 2, 3])', additional_kwargs={}), AIMessage(content="```result\n[0]\nThe present languages used for the development process are far more advanced.\nRust and Go have numerous set of advantages and used for web development\nprojects all over the world. Both the open-source programming language offers\nsome advanced features for developing efficient software, integrated\ntoolchain, memory safety and has a strong community of users.  \nEven though both have a few similarities, they also have drastic differences\nbetween each other. What are the major differences? Developing from scratch,\nmeeting various requisites and writing different types of programs.  \nYou will have a clear overview of when you can use it with the pros and cons\nlisted for both the languages. Depending on your requisites differs the choice\nof programming language. On thinking about the coding experience and\npopularity. Both the language share the same birth year. The Golang popularity\nis on a hike from the beginning, But Rust has been experiencing stable growth\nin popularity over these years with a strong community.\nRust vs Go: A Comparison\n[1]\nIn summary, both languages compile to a binary that consume very little\nresources, Rust is faster and has lower footprint but harder to learn unless\nyour team already knows C.\n\n# If you are a manager…\n\n  * Use GO for **Serverless** computing and FaaS.\n  * Use GO if you are running in Google Cloud since most of the GCP services are based on GO APIs.\n  * Use Rust for critical concurrent applications, monoliths or real time systems.\n  * Use Rust to attract highly skilled developers.\n  * Use Rust for large code bases and complex projects.\n  * Use Rust to build **greener** projects.\n  * If you are looking to add a new language and you cannot spend much time learning it, GO is easier to adopt than Rust.\n  * Use any for microservices or Kubernetes.\nGenerally speaking **Rust will outperform Go** , but not by much and it will\nvary depending on the use case, this is because of the garbage collector.\nDepending on how often the **GC** runs the results may change. This is a\ndrawback in Go: **predictability**. Although the performance differences may\nnot be huge, Rust performance is predictable.\n\nYou can find some initial comparison here. As you can see, in Go, it is easy\nto make mistakes that heavily affects performance. In other words, if you\ndon’t pay close attention and understand how Go works, your code will not\nperform great and may have runtime defects, whereas in Rust, the compiler\nguides you and force you to write high performant and safe code.\n[2]\nRight off the bat, there are clear differences between Go and Rust. Go has a\nstronger focus on building web APIs and small services that can scale\nendlessly, especially with the power of Goroutines. The latter is also\npossible with Rust, but things are much harder from a developer experience\npoint of view.\n\nRust works well for processing large amounts of data and other CPU-intensive\noperations, such as executing algorithms. This is Rust’s biggest edge over Go;\nprojects that demand high performance are generally better suited for Rust.\n\nIn this tutorial, we'll compare and contrast Go and Rust, evaluating each\nprogramming language for performance, concurrency, memory management, and the\noverall developer experience. We'll also present an overview of these elements\nto help you pick the right language for your project at a glance.\n\nIf you're just starting out with Rust, it might be a good idea to brush up on\nthis beginner's guide before you read any further.\nGo vs. Rust: My honest take\n\nLet's start by highlighting the similarities. Both Go and Rust are open-source\nand designed to support the microservices architecture and parallel computing\nenvironments. Both optimize the utilization of available CPU cores through\nconcurrency.\n\nBut at the end of the day, which language is best?\n\nThere many ways to approach this question. I'd recommend thinking about what\ntype of application you want to build. Go serves well for creating web\napplications and APIs that take advantage of its built-in concurrency features\nwhile supporting the microservices architecture.\n\nYou can also use Rust to develop a web API, but it wasn't designed with this\nuse case in mind. Rust’s focus on memory-safety increases complexity and\ndevelopment time, especially for a fairly simple web API. However, the larger\namount of control you have over your code allows you to write more optimized,\nmemory-efficient, and performant code.\n[3]\n**THE BACKSTAGE PASS INTO STARTUP TECH TEAMS**\n\nEach week we send an email with insights from our conversations with startup\ntech leaders and technologists.\n\nLeave this field empty if you're human:\n\n# Pros and Cons of Rust and Go\n\n**One expert’s take on the Pros, Cons, and Controversies of each language.**\n\nIf you have written code in either Rust or Go, you’ll recognize some\nsimilarities and differences between them. While there is some overlap between\nthe goals of the two languages, there are plenty of differences between the\ntwo. Each language offers benefits depending on the problem you’re trying to\nsolve.\nWhen it comes to choosing between the two languages, I think in some ways it’s\nmore about your programming background than the specific problem you’re trying\nto solve. You could probably frame most problems in a way that would fit into\na Rust codebase or a Go codebase.\n\nIn my experience at a startup, we chose to use Go, especially when we were in\na period of rapid growth because it was easy to pick up. New team members\ncould quickly start contributing and help build systems.\n\nThat’s definitely not exactly the case for Rust. It has a steeper learning\ncurve due to its unique memory model and can feel difficult to pick up. I’ve\nfound that teams with a C++ or Java background will likely pick it up quickly.\nIt seems to draw people who come from “big” languages rather than “small”\nones, if that makes sense.\n\n```", additional_kwargs={}), AIMessage(content='Pros and Cons of Golang:\nPros:\n- Faster than many other programming languages like JavaScript, Java, Python [0].\n- Easy to learn, making it suitable for quick onboarding of new team members [3].\n- Strong focus on building web APIs and small services that can scale endlessly, with the power of Goroutines [2].\n\nCons:\n- Performance may not be as predictable as Rust due to garbage collection [1].\n\nPros and Cons of Rust:\nPros:\n- Faster and has a lower footprint than Golang [1].\n- Great for critical concurrent applications, monoliths, or real-time systems [1].\n- Attracts highly skilled developers [1].\n- Better suited for large code bases and complex projects [1].\n- More predictable performance [1].\n- Good for processing large amounts of data and other CPU-intensive operations like executing algorithms [2].\n\nCons:\n- Harder to learn, especially for those without a background in languages like C++ or Java [3].\n- Increased complexity and development time for simple web APIs due to its focus on memory safety [2].\n', additional_kwargs={}), HumanMessage(content='Q:thank you', additional_kwargs={})]
195 | 2023-04-08 00:21:12,977 INFO:gpt-response: You're welcome! If you have any more questions or need further assistance, feel free to ask.
196 | 2023-04-08 00:21:12,977 INFO:cost: $0.0, total_tokens: 0
197 | 2023-04-08 00:21:12,978 INFO:no function call, so it is the answer
198 | ````
199 | 


--------------------------------------------------------------------------------
/gpt-4-search.py:
--------------------------------------------------------------------------------
  1 | import subprocess
  2 | import tempfile
  3 | from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler
  4 | from langchain.chat_models.openai import ChatOpenAI
  5 | from langchain.schema import HumanMessage, AIMessage
  6 | from langchain.embeddings.openai import OpenAIEmbeddings
  7 | from langchain.text_splitter import MarkdownTextSplitter
  8 | from langchain.text_splitter import CharacterTextSplitter
  9 | from langchain.text_splitter import TokenTextSplitter
 10 | from langchain.utilities import GoogleSearchAPIWrapper
 11 | from langchain.callbacks import get_openai_callback
 12 | from langchain.callbacks.base import CallbackManager
 13 | from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler
 14 | from dotenv import load_dotenv
 15 | from html2text import HTML2Text
 16 | import numpy as np
 17 | import tiktoken
 18 | import json
 19 | import requests
 20 | import re
 21 | import logging
 22 | import ssl
 23 | import readline
 24 | from typing import Optional
 25 | 
 26 | load_dotenv()
 27 | 
 28 | 
 29 | # Utils
 30 | 
 31 | 
 32 | def count_tokens(text: str) -> int:
 33 |     encoding = tiktoken.encoding_for_model("gpt-4")
 34 |     tokens = encoding.encode(text)
 35 |     return len(tokens)
 36 | 
 37 | 
 38 | def request(url: str) -> list[str]:
 39 |     headers = {
 40 |         'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.102 Safari/537.36'}
 41 |     resp = requests.get(url, headers=headers).text
 42 |     h = HTML2Text()
 43 |     h.ignore_links = True
 44 |     h.ignore_images = True
 45 |     markdown = h.handle(resp)
 46 |     # text_splitter = CharacterTextSplitter(
 47 |     #     chunk_size=200, chunk_overlap=0, length_function=count_tokens)
 48 |     text_splitter = MarkdownTextSplitter(
 49 |         chunk_size=200, chunk_overlap=0, length_function=count_tokens)
 50 |     # text_splitter = TokenTextSplitter(
 51 |     #     chunk_size=200, chunk_overlap=0)
 52 |     docs = text_splitter.split_text(markdown)
 53 |     return docs
 54 | 
 55 | 
 56 | def vector_similarity(x: list[float], y: list[float]) -> float:
 57 |     return np.dot(np.array(x), np.array(y))
 58 | 
 59 | 
 60 | def top_k_similar_docs(query: str, docs: list[str], k: int = 5) -> list[str]:
 61 |     embeddings = OpenAIEmbeddings(model="text-embedding-ada-002")
 62 |     query_embedding = embeddings.embed_query(query)
 63 |     doc_embeddings = embeddings.embed_documents(docs)
 64 |     similarities = [vector_similarity(
 65 |         query_embedding, doc_embedding) for doc_embedding in doc_embeddings]
 66 |     top_k = np.flip(np.argsort(similarities)[-k:])
 67 |     return [docs[i] for i in top_k]
 68 | 
 69 | 
 70 | def run_with_timeout(cmd, timeout_sec):
 71 |     with subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE) as proc:
 72 |         try:
 73 |             outs, errs = proc.communicate(timeout=timeout_sec)
 74 |         except subprocess.TimeoutExpired:
 75 |             proc.kill()
 76 |             outs, errs = proc.communicate()
 77 |             raise TimeoutError(
 78 |                 f"Process took too long (>{timeout_sec} seconds)")
 79 | 
 80 |     if errs:
 81 |         return errs.decode('utf-8')
 82 |     else:
 83 |         return outs.decode('utf-8')
 84 | 
 85 | 
 86 | # Tools
 87 | 
 88 | 
 89 | links = []
 90 | 
 91 | 
 92 | def search(queries: str) -> str:
 93 |     summary = ''
 94 |     for query in json.loads(queries):
 95 |         results = GoogleSearchAPIWrapper().results(query, 5)
 96 |         for result in results:
 97 |             i = len(links)
 98 |             summary += f'[{i}] {result["title"]}\n{result.get("snippet", "")}\n'
 99 |             links.append({"link": result["link"], "query": query})
100 |     logging.info(links)
101 |     return summary
102 | 
103 | 
104 | def summarize(snippet_ids: str) -> str:
105 |     summary = ''
106 |     for id in json.loads(snippet_ids):
107 |         try:
108 |             docs = request(links[id]["link"])
109 |             top_k = top_k_similar_docs(links[id]["query"], docs, 2)
110 |             summary += f'[{id}]\n'
111 |             summary += '\n'.join(top_k)
112 |             summary += '\n'
113 |         except Exception as e:
114 |             logging.error(e)
115 |             continue
116 |     return summary
117 | 
118 | 
119 | def python(code: str) -> str:
120 |     pattern = r'(?<=("""))(.|\n)*?(?=\1)'
121 |     match = re.search(pattern, code).group(0)
122 |     try:
123 |         with tempfile.NamedTemporaryFile() as tmp:
124 |             tmp.write(match.encode())
125 |             tmp.flush()
126 |             return run_with_timeout(['python', tmp.name], timeout_sec=5)
127 |     except Exception as e:
128 |         logging.error(e)
129 |         print(e)
130 |         return str(e) + "\ntry again and optimize the code"
131 | 
132 | 
133 | tools = [
134 |     {"name": "SEARCH", "args": "(queries: string[])",
135 |      "description": "searches the web, and returns the top snippets, it'll be better if the query string is in english", "run": search},
136 |     {"name": "SUMMARIZE", "args": "(snippet_ids: uint[])",
137 |      "description": "click into the search result, useful when you want to investigate the detail of the search result", "run": summarize},
138 |     {"name": "PYTHON", "args": "(code: string)",
139 |      "description": "evaluates the code in a python interpreter, wrap code in triple quotes, wrap the answer in `print()`", "run": python},
140 | ]
141 | 
142 | 
143 | # LLM
144 | 
145 | 
146 | messages = []
147 | 
148 | 
149 | def add_message(message, is_tool_result: bool = False):
150 |     global messages
151 |     messages.append((is_tool_result, message))
152 | 
153 | 
154 | def clear_messages():
155 |     global messages
156 |     messages = []
157 | 
158 | 
159 | def remove_intermediate_messsages():
160 |     global messages
161 |     messages = list(filter(lambda msg: not msg[0], messages))
162 | 
163 | 
164 | def messages_tokens() -> int:
165 |     return sum(map(lambda msg: count_tokens(msg[1].content), messages))
166 | 
167 | 
168 | def call_llm(streaming: bool = False) -> str:
169 |     if streaming:
170 |         chat = ChatOpenAI(model_name="gpt-4", streaming=True, callback_manager=CallbackManager(
171 |             [StreamingStdOutCallbackHandler()]), verbose=True, temperature=0)
172 |     else:
173 |         chat = ChatOpenAI(model_name="gpt-4", verbose=True, temperature=0)
174 |     logging.info(f"gpt-context: {messages}")
175 |     resp = chat.generate([(map(lambda msg: msg[1], messages))]).generations[0][0].text
176 |     logging.info(f"gpt-response: {resp}")
177 |     prompt_tokens = messages_tokens()
178 |     complete_tokens = count_tokens(resp)
179 |     total_cost = (0.03 * prompt_tokens + 0.06 * complete_tokens) / 1000
180 |     logging.info(
181 |         f"cost: ${total_cost}, prompt_tokens: {prompt_tokens}, complete_tokens: {complete_tokens}")
182 |     print('')
183 |     return resp
184 |     
185 | 
186 | # Prompts
187 |     
188 | 
189 | def instruction_prompt(query: str, tools: list[dict], context: Optional[str] = None) -> str:
190 |     prompt = "You are an helpful and kind assistant to answer questions that can use tools to interact with real world and get access to the latest information. You can call one of the following functions:\n"
191 | 
192 |     for tool in tools:
193 |         prompt += f'- {tool["name"]}{tool["args"]} {tool["description"]}\n'
194 | 
195 |     prompt += "In each response, you must start with a function call like `SEARCH(\"something\")` or `PYTHON(\"\"\"1+1\"\"\")`. Don't explain why you use a tool. If you cannot figure out the answer, you say ’I don’t know’. When you are generating answers according to the search result, link your answers to the snippet id like `[1]`, and use the same language as the questioner\n"
196 | 
197 |     if context:
198 |         prompt += "Context from the previous assistant:\n```\n"
199 |         prompt += context
200 |         prompt += "\n```\n"
201 | 
202 |     prompt += f"Q:{query}"
203 |     return prompt
204 | 
205 | 
206 | def summarize_messages() -> str:
207 |     add_message(HumanMessage(content="Summarize the conversations above for another assistant to continue the process"), is_tool_result=True)
208 |     return call_llm(streaming=False)
209 | 
210 | 
211 | # The REPL loop
212 | 
213 | 
214 | references = []
215 | 
216 | 
217 | def add_reference(answer: str):
218 |     global references
219 |     pattern = r'\[(\d+)\]'
220 |     matched = re.findall(pattern, answer)
221 |     for id in matched:
222 |         if int(id) not in references:
223 |             references.append(int(id))
224 | 
225 | 
226 | def show_references():
227 |     global references
228 |     output = ""
229 |     for id in references:
230 |         output += f"[{id}]: {links[id]['link']}\n"
231 |     print(output)
232 |     references = []
233 | 
234 | 
235 | def run(query: str) -> str:
236 |     if len(messages) == 0:
237 |         add_message(HumanMessage(content=instruction_prompt(query, tools)))
238 |     else:
239 |         remove_intermediate_messsages()
240 |         if messages_tokens() < 1100:
241 |             add_message(HumanMessage(content=f"Q:{query}"))
242 |         else:
243 |             context = summarize_messages()
244 |             logging.info(f"summarization: {context}")
245 |             clear_messages()
246 |             add_message(HumanMessage(
247 |                 content=instruction_prompt(query, tools, context)))
248 | 
249 |     while True:
250 |         resp = call_llm(streaming=True)
251 |         add_message(AIMessage(content=resp))
252 |         add_reference(resp)
253 |         pattern = r'(\w+)\(([\s\S]*)\)'
254 |         match = re.search(pattern, resp)
255 |         if match:
256 |             func_name = match.group(1)
257 |             func_args = match.group(2)
258 |             for tool in tools:
259 |                 if tool["name"] == func_name:
260 |                     result = tool["run"](func_args)
261 |                     result = f"```result\n{result}\n```"
262 |                     logging.info(f"tool-result: {result}")
263 |                     add_message(AIMessage(content=result), is_tool_result=True)
264 |                     break
265 |             else:
266 |                 logging.info("no function call, so it is the answer")
267 |                 return resp
268 |         else:
269 |             logging.info("no function call, so it is the answer")
270 |             return resp
271 | 
272 | 
273 | if __name__ == "__main__":
274 |     logging.basicConfig(
275 |         level=logging.INFO,
276 |         format='%(asctime)s %(levelname)s:%(message)s',
277 |         handlers=[
278 |             logging.FileHandler("gpt-search.log"),
279 |             # logging.StreamHandler()
280 |         ]
281 |     )
282 |     while True:
283 |         user_input = input("> ")
284 |         logging.info(f"user-input: {user_input}")
285 |         try:
286 |             run(user_input)
287 |             show_references()
288 |         except Exception as e:
289 |             print("Error:", e)
290 | 


--------------------------------------------------------------------------------
/poetry.lock:
--------------------------------------------------------------------------------
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   2 | 
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   4 | name = "aiohttp"
   5 | version = "3.8.4"
   6 | description = "Async http client/server framework (asyncio)"
   7 | category = "main"
   8 | optional = false
   9 | python-versions = ">=3.6"
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  99 | 
 100 | [package.dependencies]
 101 | aiosignal = ">=1.1.2"
 102 | async-timeout = ">=4.0.0a3,<5.0"
 103 | attrs = ">=17.3.0"
 104 | charset-normalizer = ">=2.0,<4.0"
 105 | frozenlist = ">=1.1.1"
 106 | multidict = ">=4.5,<7.0"
 107 | yarl = ">=1.0,<2.0"
 108 | 
 109 | [package.extras]
 110 | speedups = ["Brotli", "aiodns", "cchardet"]
 111 | 
 112 | [[package]]
 113 | name = "aiosignal"
 114 | version = "1.3.1"
 115 | description = "aiosignal: a list of registered asynchronous callbacks"
 116 | category = "main"
 117 | optional = false
 118 | python-versions = ">=3.7"
 119 | files = [
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 122 | ]
 123 | 
 124 | [package.dependencies]
 125 | frozenlist = ">=1.1.0"
 126 | 
 127 | [[package]]
 128 | name = "async-timeout"
 129 | version = "4.0.2"
 130 | description = "Timeout context manager for asyncio programs"
 131 | category = "main"
 132 | optional = false
 133 | python-versions = ">=3.6"
 134 | files = [
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 137 | ]
 138 | 
 139 | [[package]]
 140 | name = "attrs"
 141 | version = "22.2.0"
 142 | description = "Classes Without Boilerplate"
 143 | category = "main"
 144 | optional = false
 145 | python-versions = ">=3.6"
 146 | files = [
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 149 | ]
 150 | 
 151 | [package.extras]
 152 | cov = ["attrs[tests]", "coverage-enable-subprocess", "coverage[toml] (>=5.3)"]
 153 | dev = ["attrs[docs,tests]"]
 154 | docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope.interface"]
 155 | tests = ["attrs[tests-no-zope]", "zope.interface"]
 156 | tests-no-zope = ["cloudpickle", "cloudpickle", "hypothesis", "hypothesis", "mypy (>=0.971,<0.990)", "mypy (>=0.971,<0.990)", "pympler", "pympler", "pytest (>=4.3.0)", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-mypy-plugins", "pytest-xdist[psutil]", "pytest-xdist[psutil]"]
 157 | 
 158 | [[package]]
 159 | name = "cachetools"
 160 | version = "5.3.0"
 161 | description = "Extensible memoizing collections and decorators"
 162 | category = "main"
 163 | optional = false
 164 | python-versions = "~=3.7"
 165 | files = [
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 168 | ]
 169 | 
 170 | [[package]]
 171 | name = "certifi"
 172 | version = "2022.12.7"
 173 | description = "Python package for providing Mozilla's CA Bundle."
 174 | category = "main"
 175 | optional = false
 176 | python-versions = ">=3.6"
 177 | files = [
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 180 | ]
 181 | 
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 184 | version = "3.1.0"
 185 | description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 186 | category = "main"
 187 | optional = false
 188 | python-versions = ">=3.7.0"
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 266 | 
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 268 | name = "colorama"
 269 | version = "0.4.6"
 270 | description = "Cross-platform colored terminal text."
 271 | category = "main"
 272 | optional = false
 273 | python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
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 277 | ]
 278 | 
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 280 | name = "dataclasses-json"
 281 | version = "0.5.7"
 282 | description = "Easily serialize dataclasses to and from JSON"
 283 | category = "main"
 284 | optional = false
 285 | python-versions = ">=3.6"
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 289 | ]
 290 | 
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 292 | marshmallow = ">=3.3.0,<4.0.0"
 293 | marshmallow-enum = ">=1.5.1,<2.0.0"
 294 | typing-inspect = ">=0.4.0"
 295 | 
 296 | [package.extras]
 297 | dev = ["flake8", "hypothesis", "ipython", "mypy (>=0.710)", "portray", "pytest (>=6.2.3)", "simplejson", "types-dataclasses"]
 298 | 
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 301 | version = "1.3.3"
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 381 | ]
 382 | 
 383 | [[package]]
 384 | name = "google-api-core"
 385 | version = "2.11.0"
 386 | description = "Google API client core library"
 387 | category = "main"
 388 | optional = false
 389 | python-versions = ">=3.7"
 390 | files = [
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 393 | ]
 394 | 
 395 | [package.dependencies]
 396 | google-auth = ">=2.14.1,<3.0dev"
 397 | googleapis-common-protos = ">=1.56.2,<2.0dev"
 398 | protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0dev"
 399 | requests = ">=2.18.0,<3.0.0dev"
 400 | 
 401 | [package.extras]
 402 | grpc = ["grpcio (>=1.33.2,<2.0dev)", "grpcio (>=1.49.1,<2.0dev)", "grpcio-status (>=1.33.2,<2.0dev)", "grpcio-status (>=1.49.1,<2.0dev)"]
 403 | grpcgcp = ["grpcio-gcp (>=0.2.2,<1.0dev)"]
 404 | grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0dev)"]
 405 | 
 406 | [[package]]
 407 | name = "google-api-python-client"
 408 | version = "2.84.0"
 409 | description = "Google API Client Library for Python"
 410 | category = "main"
 411 | optional = false
 412 | python-versions = ">=3.7"
 413 | files = [
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 416 | ]
 417 | 
 418 | [package.dependencies]
 419 | google-api-core = ">=1.31.5,<2.0.0 || >2.3.0,<3.0.0dev"
 420 | google-auth = ">=1.19.0,<3.0.0dev"
 421 | google-auth-httplib2 = ">=0.1.0"
 422 | httplib2 = ">=0.15.0,<1dev"
 423 | uritemplate = ">=3.0.1,<5"
 424 | 
 425 | [[package]]
 426 | name = "google-auth"
 427 | version = "2.17.2"
 428 | description = "Google Authentication Library"
 429 | category = "main"
 430 | optional = false
 431 | python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*"
 432 | files = [
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 435 | ]
 436 | 
 437 | [package.dependencies]
 438 | cachetools = ">=2.0.0,<6.0"
 439 | pyasn1-modules = ">=0.2.1"
 440 | rsa = {version = ">=3.1.4,<5", markers = "python_version >= \"3.6\""}
 441 | six = ">=1.9.0"
 442 | 
 443 | [package.extras]
 444 | aiohttp = ["aiohttp (>=3.6.2,<4.0.0dev)", "requests (>=2.20.0,<3.0.0dev)"]
 445 | enterprise-cert = ["cryptography (==36.0.2)", "pyopenssl (==22.0.0)"]
 446 | pyopenssl = ["cryptography (>=38.0.3)", "pyopenssl (>=20.0.0)"]
 447 | reauth = ["pyu2f (>=0.1.5)"]
 448 | requests = ["requests (>=2.20.0,<3.0.0dev)"]
 449 | 
 450 | [[package]]
 451 | name = "google-auth-httplib2"
 452 | version = "0.1.0"
 453 | description = "Google Authentication Library: httplib2 transport"
 454 | category = "main"
 455 | optional = false
 456 | python-versions = "*"
 457 | files = [
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 460 | ]
 461 | 
 462 | [package.dependencies]
 463 | google-auth = "*"
 464 | httplib2 = ">=0.15.0"
 465 | six = "*"
 466 | 
 467 | [[package]]
 468 | name = "googleapis-common-protos"
 469 | version = "1.59.0"
 470 | description = "Common protobufs used in Google APIs"
 471 | category = "main"
 472 | optional = false
 473 | python-versions = ">=3.7"
 474 | files = [
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 477 | ]
 478 | 
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 480 | protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0dev"
 481 | 
 482 | [package.extras]
 483 | grpc = ["grpcio (>=1.44.0,<2.0.0dev)"]
 484 | 
 485 | [[package]]
 486 | name = "greenlet"
 487 | version = "2.0.2"
 488 | description = "Lightweight in-process concurrent programming"
 489 | category = "main"
 490 | optional = false
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 557 | test = ["objgraph", "psutil"]
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 560 | name = "html2text"
 561 | version = "2020.1.16"
 562 | description = "Turn HTML into equivalent Markdown-structured text."
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 573 | version = "0.22.0"
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 575 | category = "main"
 576 | optional = false
 577 | python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
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 585 | 
 586 | [[package]]
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 588 | version = "3.4"
 589 | description = "Internationalized Domain Names in Applications (IDNA)"
 590 | category = "main"
 591 | optional = false
 592 | python-versions = ">=3.5"
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 601 | description = "Building applications with LLMs through composability"
 602 | category = "main"
 603 | optional = false
 604 | python-versions = ">=3.8.1,<4.0"
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 617 | requests = ">=2,<3"
 618 | SQLAlchemy = ">=1,<2"
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 625 | openai = ["openai (>=0,<1)"]
 626 | qdrant = ["qdrant-client (>=1.1.1,<2.0.0)"]
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 630 | version = "3.19.0"
 631 | description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
 632 | category = "main"
 633 | optional = false
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 647 | tests = ["pytest", "pytz", "simplejson"]
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 652 | description = "Enum field for Marshmallow"
 653 | category = "main"
 654 | optional = false
 655 | python-versions = "*"
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 660 | 
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 666 | version = "6.0.4"
 667 | description = "multidict implementation"
 668 | category = "main"
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1100 | 
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1107 | python-versions = ">=3.7, <4"
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1112 | 
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1122 | 
1123 | [[package]]
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1134 | 
1135 | [package.dependencies]
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1138 | [[package]]
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1142 | category = "main"
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1149 | 
1150 | [[package]]
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1200 | 
1201 | [package.dependencies]
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1204 | [package.extras]
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1223 | sqlcipher = ["sqlcipher3-binary"]
1224 | 
1225 | [[package]]
1226 | name = "tenacity"
1227 | version = "8.2.2"
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1229 | category = "main"
1230 | optional = false
1231 | python-versions = ">=3.6"
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1236 | 
1237 | [package.extras]
1238 | doc = ["reno", "sphinx", "tornado (>=4.5)"]
1239 | 
1240 | [[package]]
1241 | name = "tiktoken"
1242 | version = "0.3.3"
1243 | description = "tiktoken is a fast BPE tokeniser for use with OpenAI's models"
1244 | category = "main"
1245 | optional = false
1246 | python-versions = ">=3.8"
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1446 | ]
1447 | 
1448 | [package.dependencies]
1449 | idna = ">=2.0"
1450 | multidict = ">=4.0"
1451 | 
1452 | [metadata]
1453 | lock-version = "2.0"
1454 | python-versions = "^3.9"
1455 | content-hash = "567de84352125a85ede3fb18eb2b666539f807689e44c47c92acf4d00cef3f0f"
1456 | 


--------------------------------------------------------------------------------
/pyproject.toml:
--------------------------------------------------------------------------------
 1 | [tool.poetry]
 2 | name = "gpt-4-search"
 3 | version = "0.1.0"
 4 | description = ""
 5 | authors = ["Andy Lok <andylokandy@hotmail.com>"]
 6 | license = "MIT"
 7 | readme = "README.md"
 8 | packages = [{include = "gpt_4_search"}]
 9 | 
10 | [tool.poetry.dependencies]
11 | python = "^3.9"
12 | langchain = "^0.0.133"
13 | python-dotenv = "^1.0.0"
14 | html2text = "^2020.1.16"
15 | numpy = "^1.24.2"
16 | tiktoken = "^0.3.3"
17 | requests = "^2.28.2"
18 | google-api-python-client = "^2.84.0"
19 | openai = "^0.27.4"
20 | 
21 | 
22 | [build-system]
23 | requires = ["poetry-core"]
24 | build-backend = "poetry.core.masonry.api"
25 | 


--------------------------------------------------------------------------------