Removed test scripts

test_artifacts.py

@@ -1,44 +0,0 @@
-import json
-
-import requests
-
-# Define the base URL of the API
-base_url = "http://localhost:8000"  # Replace with your actual API base URL
-
-# Create a new task
-task_request = {
-    "input": "Write the words you receive to the file 'output.txt'.",
-    "additional_input": {"type": "python/code"},
-}
-response = requests.post(f"{base_url}/agent/tasks", json=task_request)
-task = response.json()
-print(f"Created task: {task}")
-
-# Upload a file as an artifact for the task
-task_id = task["task_id"]
-test_file_content = "This is a test file for testing."
-relative_path = "./relative/path/to/your/file"  # Add your relative path here
-file_path = "test_file.txt"
-with open(file_path, "w") as f:
-    f.write(test_file_content)
-with open(file_path, "rb") as f:
-    files = {"file": f}
-    data = {"relative_path": relative_path}
-
-    response = requests.post(
-        f"{base_url}/agent/tasks/{task_id}/artifacts?relative_path={relative_path}",
-        files=files,
-    )
-    artifact = response.json()
-
-print(f"Uploaded artifact: {response.text}")
-
-# Download the artifact
-artifact_id = artifact["artifact_id"]
-response = requests.get(f"{base_url}/agent/tasks/{task_id}/artifacts/{artifact_id}")
-if response.status_code == 200:
-    with open("downloaded_file.txt", "wb") as f:
-        f.write(response.content)
-    print("Downloaded artifact.")
-else:
-    print(f"Error downloading artifact: {response.content}")

test_local_llm.py

@@ -1,23 +0,0 @@
-import openai
-
-openai.api_base = "http://localhost:4891/v1"
-
-openai.api_key = "not needed for a local LLM"
-
-
-model = "ggml-llama-2-13b-chat.ggmlv3.q4_0.bin"
-prompt = "Who is Michael Jordan?"
-response = openai.Completion.create(
-    model=model,
-    prompt=prompt,
-    max_tokens=50,
-    temperature=0.28,
-    top_p=0.95,
-    n=1,
-    echo=True,
-    stream=False,
-)
-assert len(response["choices"][0]["text"]) > len(prompt)
-print(f"Model: {response['model']}")
-print(f"Usage: {response['usage']}")
-print(f"Answer: {response['choices'][0]['text']}")