Initial commit

.gitattributes

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+# Auto detect text files and perform LF normalization
+* text=auto

.gitignore

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+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintainted in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/

README.md

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+hello

blacksmith/agents.py

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+import redis
+import json
+import requests
+from tenacity import retry, stop_after_attempt
+from blacksmith.llm import llm_call
+from blacksmith.defaults.prompts import DEFAULT_SYSTEM_PROMPT, DEFAULT_REACT_PROMPT
+
+# Connect to tool storage service
+# We should expose an SDK to create a client and manually retrieve tools if user has their own Agent implementation
+r = redis.Redis(host="redis-service", port=6379)
+
+
+class Agent:
+    def __init__(self, **kwargs) -> None:
+        type = kwargs.get("type", "zero-shot-react")
+
+        # Make this a switch case
+        if type == "zero-shot-react":
+            self.prompt = DEFAULT_REACT_PROMPT
+            self.system_prompt = DEFAULT_SYSTEM_PROMPT
+        else:
+            self.prompt = kwargs.get("prompt")
+            self.system_prompt = kwargs.get("system_prompt")
+
+        self.tools = kwargs.get(
+            "tools", [json.loads(tool.decode()) for tool in r.lrange("tools", 0, -1)]
+        )
+        self.max_loops = kwargs.get("max_loops", 5)
+
+    def process(self, messages, query):
+        func_calls = []
+
+        @retry(stop=stop_after_attempt(self.max_loops))
+        def _think():
+            resp = llm_call(messages=messages, tools=self.tools)
+
+            iterations = 0
+            while True:
+                print("Iteration ", iterations)
+                print(resp)
+
+                content = resp.get("content")
+                if content and ("Final Answer:" in content):
+                    print(messages)
+                    final_answer_index = content.index("Final Answer:") + len("Final Answer:")
+                    final_answer = content[final_answer_index:].strip()
+                    return final_answer
+
+                func = resp.get("function_call")
+                if func:
+                    service_name = func["name"]
+                    args = json.loads(func["arguments"])
+                    url = f"http://{service_name}:80"
+                    tool_res = requests.get(url=url, json=args)
+                    data = tool_res.json()
+                    print(f"Executed function {service_name}. Result: {data}")
+                    func_calls.append(
+                        {
+                            "execution_order": iterations,
+                            "function_name": {service_name},
+                            "params": {func["arguments"]},
+                            "result": {json.dumps(data)},
+                        }
+                    )
+                    messages.append(
+                        {
+                            "role": "user",
+                            "content": f"""
+                                Result of {service_name} is {data}.
+                                Generate an observation based on this result.
+                                If you have enough information to answer {query}, return the final answer prefixed with 'Final Answer:'.
+                                Otherwise, based on this observation, proceed with other function calls to gather information as appropriate.
+                            """,
+                        }
+                    )
+                resp = llm_call(messages=messages, tools=self.tools)
+                iterations += 1
+
+        return _think(), func_calls
+
+    def run(self, input: str) -> None:
+        formatted_prompt = self.prompt.format(input=input)
+        messages = [
+            {"role": "system", "content": self.system_prompt},
+            {"role": "user", "content": formatted_prompt},
+        ]
+        return self.process(messages=messages, query=input)

blacksmith/defaults/prompts.py

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+DEFAULT_SYSTEM_PROMPT = """
+**Instructions:**
+
+1. Provide a clear and concise description of your question or request.
+2. Include any relevant details or context that can help the model understand your prompt.
+3. If applicable, specify the desired format or structure for the response.
+4. Feel free to ask follow-up questions or provide additional instructions as needed.
+
+**Prompt:**
+"""
+
+DEFAULT_REACT_PROMPT = """
+Answer the following questions as best you can.
+If the user demands a final answer but you are unsure, consider executing a function call to gather more information.
+
+The result of all previous function calls will be added to the conversation history as an observation.
+
+Begin!
+
+Question: {input}
+
+Decompose the question into multiple subquestions, and answer each one individually in order to arrive at the final answer.
+"""

blacksmith/llm.py

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+import openai
+import os
+
+
+# TODO: Only load functions if called from an "agent"
+def llm_call(messages, tools):
+    MODEL = os.getenv("MODEL")
+    TEMPERATURE = int(os.getenv("TEMPERATURE"))
+    return openai.ChatCompletion.create(
+        model=MODEL,
+        messages=messages,
+        temperature=TEMPERATURE,
+        functions=tools,
+    )["choices"][0]["message"]

blacksmith/scripts/cli.py

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+import time
+import argparse
+import os
+import shutil
+from blacksmith.scripts.images import build_agent_images, build_tool_images
+from blacksmith.scripts.k8s import (
+    create_k8s_manifest,
+    create_redis,
+    apply_k8s_manifest,
+    apply_redis,
+    remove,
+)
+
+
+def build_command(args):
+    # Create temporary build path
+    os.makedirs("./tmp")
+
+    print("🕵️‍♀️  Building agent images...")
+    agent_specs = build_agent_images()
+    print("✨ Completed!")
+    print("🛠️  Building tool images...")
+    tool_specs = build_tool_images()
+    print("✨ Completed!")
+
+    # Remove intermediate build files
+    shutil.rmtree("./tmp")
+
+    # Create k8s manifests
+    os.makedirs("./k8s")
+
+    # Clear existing manifest.yaml file
+    with open(f"./k8s/manifest.yaml", "w") as file:
+        file.write("")
+
+    print("📦  Creating manifest...")
+    create_k8s_manifest(agent_specs, tool_specs)
+    print("✨ Completed!")
+    print("⚙️  Building Redis tool registry...")
+    create_redis()
+    print("✨ Completed!")
+
+
+def apply_command(args):
+    print("🚀 Deploying Redis tool registry...")
+    apply_redis()
+    print("✨ Deployment completed!")
+    print("🚀 Deploying agent and tools...")
+    time.sleep(2)  # use a liveness probe here instead
+    apply_k8s_manifest()
+    print("✨ Deployment completed!")
+
+
+def delete_command(args):
+    print("🚫 Deleting deployments...")
+    remove()
+    print("✅ Deployments deleted.")
+
+    # Remove k8s when done
+    shutil.rmtree("./k8s")
+
+
+def main():
+    parser = argparse.ArgumentParser(prog="blacksmith")
+    subparsers = parser.add_subparsers(title="subcommands", dest="subcommand")
+
+    # Build step (images, manifest files)
+    build_parser = subparsers.add_parser("build", help="Build tools")
+    build_parser.set_defaults(func=build_command)
+
+    # Apply step (kubectl apply)
+    build_parser = subparsers.add_parser("apply", help="Apply")
+    build_parser.set_defaults(func=apply_command)
+
+    # Remove all deployments
+    build_parser = subparsers.add_parser("delete", help="Remove all deployments")
+    build_parser.set_defaults(func=delete_command)
+
+    args = parser.parse_args()
+    if hasattr(args, "func"):
+        args.func(args)
+    else:
+        parser.print_help()
+
+
+if __name__ == "__main__":
+    main()