Merge branch 'main' into directory-creation

# Conflicts:
#	.gitignore
#	gpt_engineer/steps.py
#	identity/generate
#	identity/use_qa

.gitignore

@@ -13,6 +13,7 @@ build/
 
 # Virtual environments
 .env
+.env.sh
 venv/
 ENV/
 
@@ -36,6 +37,7 @@ archive
 
 # any log file
 *log.txt
+todo
 
 # ignore all project files
 projects

Makefile

@@ -0,0 +1,53 @@
+SHELL := /bin/bash
+
+# Color codes
+COLOR_RESET=\033[0m
+COLOR_CYAN=\033[1;36m
+COLOR_GREEN=\033[1;32m
+
+.PHONY: help install dev-install run
+
+.DEFAULT_GOAL := help
+
+.SILENT:
+
+name := $(word 2,$(MAKECMDGOALS))
+
+help:
+	@echo "Please use 'make <target>' where <target> is one of the following:"
+	@echo "  help           	Return this message with usage instructions."
+	@echo "  install        	Will install the dependencies and create a virtual environment."
+	@echo "  dev-install    	Will install the dev dependencies too."
+	@echo "  run <folder_name>  Runs GPT Engineer on the folder with the given name."
+
+dev-install: create-venv upgrade-pip install-dependencies install-pre-commit farewell
+
+install: create-venv upgrade-pip install-dependencies farewell
+
+create-venv:
+	@echo -e "$(COLOR_CYAN)Creating virtual environment...$(COLOR_RESET)" && \
+	python -m venv venv
+
+upgrade-pip:
+	@echo -e "$(COLOR_CYAN)Upgrading pip...$(COLOR_RESET)" && \
+	source venv/bin/activate && \
+	pip install --upgrade pip >> /dev/null
+
+install-dependencies:
+	@echo -e "$(COLOR_CYAN)Installing dependencies...$(COLOR_RESET)" && \
+	source venv/bin/activate && \
+	pip install -r requirements.txt >> /dev/null
+
+install-pre-commit:
+	@echo -e "$(COLOR_CYAN)Installing pre-commit hooks...$(COLOR_RESET)" && \
+	source venv/bin/activate && \
+	pre-commit install
+
+farewell:
+	@echo -e "$(COLOR_GREEN)All done!$(COLOR_RESET)"
+
+run:
+	@echo -e "$(COLOR_CYAN)Running GPT Engineer on $(COLOR_GREEN)$(name)$(COLOR_CYAN) folder...$(COLOR_RESET)" && \
+	source venv/bin/activate && \
+	python -m gpt_engineer.main $(name)
+

README.md

@@ -3,6 +3,8 @@
 
 GPT Engineer is made to be easy to adapt, extend, and make your agent learn how you want your code to look. It generates an entire codebase based on a prompt.
 
+[Demo](https://twitter.com/antonosika/status/1667641038104674306) 👶🤖
+
 ## Project philosophy
 - Simple to get value
 - Flexible and easy to add new own "AI steps". See `steps.py`.
@@ -13,10 +15,6 @@ GPT Engineer is made to be easy to adapt, extend, and make your agent learn how
 - Simplicity, all computation is "resumable" and persisted to the filesystem
 
 
-
-![output](https://github.com/AntonOsika/gpt-engineer/assets/4467025/a6938d43-2ac1-4cf1-98d1-93eea1bdfce4)
-
-
 ## Usage
 
 **Setup**:

gpt_engineer/ai.py

@@ -26,6 +26,9 @@ class AI:
 
     def fuser(self, msg):
         return {"role": "user", "content": msg}
+    def fassistant(self, msg):
+        return {"role": "assistant", "content": msg}
+
 
     def next(self, messages: list[dict[str, str]], prompt=None):
         if prompt:

gpt_engineer/steps.py

@@ -8,10 +8,10 @@ from gpt_engineer.chat_to_files import parse_chat
 
 
 def setup_sys_prompt(dbs):
-    return dbs.identity["setup"] + "\nUseful to know:\n" + dbs.identity["philosophy"]
+    return dbs.identity["generate"] + "\nUseful to know:\n" + dbs.identity["philosophy"]
 
 
-def run(ai: AI, dbs: DBs):
+def simple_gen(ai: AI, dbs: DBs):
     """Run the AI on the main prompt and save the results"""
     messages = ai.start(
         setup_sys_prompt(dbs),
@@ -30,7 +30,7 @@ def clarify(ai: AI, dbs: DBs):
     while True:
         messages = ai.next(messages, user)
 
-        if messages[-1]['content'].strip().lower().startswith("no"):
+        if messages[-1]["content"].strip().lower().startswith("no"):
             break
 
         print()
@@ -53,34 +53,70 @@ def clarify(ai: AI, dbs: DBs):
 
 
 def gen_spec(ai: AI, dbs: DBs):
-    '''
+    """
     Generate a spec from the main prompt + clarifications and save the results to the workspace
-    '''
+    """
-    messages = [ai.fsystem(setup_sys_prompt(dbs)), ai.fsystem(f"Main prompt: {dbs.input['main_prompt']}")]
+    messages = [
+        ai.fsystem(setup_sys_prompt(dbs)),
+        ai.fsystem(f"Instructions: {dbs.input['main_prompt']}"),
+    ]
 
-    messages = ai.next(messages, dbs.identity['spec'])
+    messages = ai.next(messages, dbs.identity["spec"])
-    messages = ai.next(messages, dbs.identity['respec'])
-    messages = ai.next(messages, dbs.identity['spec'])
 
-    dbs.memory['specification'] = messages[-1]['content']
+    dbs.memory["specification"] = messages[-1]["content"]
 
     return messages
 
-def pre_unit_tests(ai: AI, dbs: DBs):
+def respec(ai: AI, dbs: DBs):
-    '''
+    messages = dbs.logs[gen_spec.__name__]
+    messages += [ai.fsystem(dbs.identity["respec"])]
+
+    messages = ai.next(messages)
+    messages = ai.next(
+        messages,
+        (
+            'Based on the conversation so far, please reiterate the specification for the program. '
+            'If there are things that can be improved, please incorporate the improvements. '
+            "If you are satisfied with the specification, just write out the specification word by word again."
+        )
+    )
+
+    dbs.memory["specification"] = messages[-1]["content"]
+    return messages
+
+
+def gen_unit_tests(ai: AI, dbs: DBs):
+    """
     Generate unit tests based on the specification, that should work.
-    '''
+    """
-    messages = [ai.fsystem(setup_sys_prompt(dbs)), ai.fuser(f"Instructions: {dbs.input['main_prompt']}"), ai.fuser(f"Specification:\n\n{dbs.memory['specification']}")]
+    messages = [
+        ai.fsystem(setup_sys_prompt(dbs)),
+        ai.fuser(f"Instructions: {dbs.input['main_prompt']}"),
+        ai.fuser(f"Specification:\n\n{dbs.memory['specification']}"),
+    ]
 
-    messages = ai.next(messages, dbs.identity['unit_tests'])
+    messages = ai.next(messages, dbs.identity["unit_tests"])
 
-    dbs.memory['unit_tests'] = messages[-1]['content']
+    dbs.memory["unit_tests"] = messages[-1]["content"]
-    to_files(dbs.memory['unit_tests'], dbs.workspace)
+    to_files(dbs.memory["unit_tests"], dbs.workspace)
 
     return messages
 
 
-def run_clarified(ai: AI, dbs: DBs):
+def gen_clarified_code(ai: AI, dbs: DBs):
+    # get the messages from previous step
+
+    messages = json.loads(dbs.logs[clarify.__name__])
+
+    messages = [
+        ai.fsystem(setup_sys_prompt(dbs)),
+    ] + messages[1:]
+    messages = ai.next(messages, dbs.identity["use_qa"])
+
+    to_files(messages[-1]["content"], dbs.workspace)
+    return messages
+
+def gen_code(ai: AI, dbs: DBs):
     # get the messages from previous step
 
     messages = [
@@ -95,39 +131,70 @@ def run_clarified(ai: AI, dbs: DBs):
 
 
 def execute_workspace(ai: AI, dbs: DBs):
+    messages = gen_entrypoint(ai, dbs)
+    execute_entrypoint(ai, dbs)
+    return messages
+
+
+def execute_entrypoint(ai, dbs):
+    command = dbs.workspace["run.sh"]
+
+    print("Do you want to execute this code?")
+    print()
+    print(command)
+    print()
+    print('If yes, press enter. If no, type "no"')
+    print()
+    if input() == "no":
+        print("Ok, not executing the code.")
+    print("Executing the code...")
+    print()
+    subprocess.run("bash run.sh", shell=True, cwd=dbs.workspace.path)
+    return []
+
+
+def gen_entrypoint(ai, dbs):
     messages = ai.start(
         system=(
             f"You will get information about a codebase that is currently on disk in the folder {dbs.workspace.path}.\n"
             "From this you will answer with code blocks that includes all the necessary Windows, MacOS, and Linux terminal commands to "
             "a) install dependencies "
-            "b) run the necessary parts of the codebase to try it.\n"
+            "b) run all necessary parts of the codebase (in parallell if necessary).\n"
+            "Do not install globally. Do not use sudo.\n"
             "Do not explain the code, just give the commands.\n"
         ),
         user="Information about the codebase:\n\n" + dbs.workspace["all_output.txt"],
     )
-
-    [[lang, command]] = parse_chat(messages[-1]['content'])
-    assert lang in ['', 'bash', 'sh']
-
-    print('Do you want to execute this code?')
-    print(command)
     print()
-    print('If yes, press enter. If no, type "no"')
+
-    print()
+    blocks = parse_chat(messages[-1]["content"])
-    if input() == 'no':
+    for lang, _ in blocks:
-        print('Ok, not executing the code.')
+        assert lang in ["", "bash", "sh"], "Generated entrypoint command that was not bash"
+
+    dbs.workspace["run.sh"] = "\n".join(block for lang, block in blocks)
     return messages
-    print('Executing the code...')
+
-    print()
+def use_feedback(ai: AI, dbs: DBs):
-    subprocess.run(command, shell=True)
+    messages = [
+        ai.fsystem(setup_sys_prompt(dbs)),
+        ai.fuser(f"Instructions: {dbs.input['main_prompt']}"),
+        ai.fassistant(dbs.workspace["all_output.txt"]),
+        ai.fsystem(dbs.identity["use_feedback"]),
+    ]
+    messages = ai.next(messages, dbs.memory['feedback'])
+    to_files(messages[-1]["content"], dbs.workspace)
     return messages
 
 
 # Different configs of what steps to run
 STEPS = {
-    'default': [gen_spec, pre_unit_tests, run_clarified, execute_workspace],
+    "default": [gen_spec, gen_unit_tests, gen_code, execute_workspace],
-    'simple': [run, execute_workspace],
+    "benchmark": [gen_spec, gen_unit_tests, gen_code, gen_entrypoint],
-    'clarify': [clarify, run_clarified],
+    "simple": [simple_gen, execute_workspace],
+    "clarify": [clarify, gen_clarified_code, execute_workspace],
+    "respec": [gen_spec, respec, gen_unit_tests, gen_code, execute_workspace],
+    "execute_only": [execute_entrypoint],
+    "use_feedback": [use_feedback],
 }
 
 # Future steps that can be added:

identity/respec

@@ -1,8 +1,12 @@
-You are a pragmatic principal engineer at Google. You have been asked to review a specification for a new feature.
+You are a pragmatic principal engineer at Google.
+You have been asked to review a specification for a new feature by a previous version of yourself
 
 You have been asked to give feedback on the following:
-- Is there anything that might not work the way the user expects?
+- Is there anything that might not work the way intended by the instructions?
-- Is there anything missing for the program to fully work?
+- Is there anything in the specification missing for the program to work as expected?
-- Is there anything that can be simplified without decreasing quality?
+- Is there anything that can be simplified without significant drawback?
 
-You are asked to make educated assumptions for each unclear item. For each of these, communicate which assumptions you'll make when implementing the feature.
+You are asked to make educated assumptions for each unclear item.
+For each of these, communicate which assumptions you'll make when implementing the feature.
+
+Think step by step to make sure we don't miss anything.

identity/spec

@@ -1,8 +1,11 @@
-You are a super smart developer and an AI developed to write programs. You have been asked to make a specification for a program.
+You are a super smart developer. You have been asked to make a specification for a program.
 
-Please generate a specification based on the given input. First, be super explicit about what the program should do, which features it should have and give details about anything that might be unclear. **Don't leave anything unclear or undefined.**
+Think step by step to make sure we get a high quality specification and we don't miss anything.
+First, be super explicit about what the program should do, which features it should have
+and give details about anything that might be unclear. **Don't leave anything unclear or undefined.**
 
-Second, lay out the names of the core classes, functions, methods that will be necessary, As well as a quick comment on their purpose.
+Second, lay out the names of the core classes, functions, methods that will be necessary,
-Then write out which non-standard dependencies you'll have to use.
+as well as a quick comment on their purpose.
+Finally list all non-standard dependencies you'll have to use.
 
-This specification will be used later as the basis for your implementation.
+This specification will be used later as the basis for the implementation.

identity/unit_tests

@@ -1,3 +1,3 @@
-You are a super smart developer and an AI developed to use Test Driven Development to write tests according to a specification.
+You are a super smart developer using Test Driven Development to write tests according to a specification.
 
 Please generate tests based on the above specification. The tests should be as simple as possible, but still cover all the functionality.

tests/test_db.py

@@ -1,4 +1,4 @@
-from ..db import DB
+from gpt_engineer.db import DB
 
 
 def test_db():