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Update assistants.py
Browse files- assistants.py +34 -34
assistants.py
CHANGED
@@ -42,7 +42,7 @@ tools = {
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"tavily_search_tool": tavily_search_tool,
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}
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def create_assistant(
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assistant = openai_client.beta.assistants.create(
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name="Python Coding Assistant",
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instructions=(
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@@ -63,17 +63,17 @@ def create_assistant(openai_client):
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return assistant
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def load_assistant(
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assistant = openai_client.beta.assistants.retrieve(assistant_id)
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show_json("assistant", assistant)
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return assistant
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def create_thread(
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thread = openai_client.beta.threads.create()
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show_json("thread", thread)
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return thread
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def create_message(
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message = openai_client.beta.threads.messages.create(
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role="user",
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thread_id=thread.id,
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@@ -83,7 +83,7 @@ def create_message(openai_client, thread, msg):
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show_json("message", message)
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return message
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def create_run(
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run = openai_client.beta.threads.runs.create(
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assistant_id=assistant.id,
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thread_id=thread.id,
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@@ -93,7 +93,7 @@ def create_run(openai_client, assistant, thread):
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show_json("run", run)
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return run
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def wait_on_run(
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while run.status == "queued" or run.status == "in_progress":
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run = openai_client.beta.threads.runs.retrieve(
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thread_id=thread.id,
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@@ -109,7 +109,7 @@ def wait_on_run(openai_client, thread, run):
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return run
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def get_run_steps(
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run_steps = openai_client.beta.threads.runs.steps.list(
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thread_id=thread.id,
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run_id=run.id,
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@@ -149,34 +149,10 @@ def execute_tool_calls(run_steps):
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return tool_call_ids, tool_call_results
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def get_messages(openai_client, thread):
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messages = openai_client.beta.threads.messages.list(
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thread_id=thread.id
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)
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show_json("messages", messages)
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return messages
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def extract_content_values(data):
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text_values, image_values = [], []
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for item in data.data:
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for content in item.content:
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# TODO: Handle other file types
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if content.type == "text":
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text_value = content.text.value
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text_values.append(text_value)
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if content.type == "image_file":
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image_value = content.image_file.file_id
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image_values.append(image_value)
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return text_values, image_values
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def recurse_execute_tool_calls(thread, run, run_steps, iteration):
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tool_call_ids, tool_call_results = execute_tool_calls(run_steps)
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if len(tool_call_ids) > iteration:
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# https://platform.openai.com/docs/api-reference/runs/submitToolOutputs
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tool_output = {}
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try:
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@@ -190,15 +166,39 @@ def recurse_execute_tool_calls(thread, run, run_steps, iteration):
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"output": tool_call_results[iteration]
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}
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run = openai_client.beta.threads.runs.submit_tool_outputs(
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thread_id=thread.id,
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run_id=run.id,
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tool_outputs=[tool_output]
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)
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run = wait_on_run(
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run_steps = get_run_steps(
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recurse_execute_tool_calls(thread, run, run_steps, iteration + 1)
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else:
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return
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"tavily_search_tool": tavily_search_tool,
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}
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def create_assistant():
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assistant = openai_client.beta.assistants.create(
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name="Python Coding Assistant",
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instructions=(
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return assistant
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def load_assistant():
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assistant = openai_client.beta.assistants.retrieve(assistant_id)
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show_json("assistant", assistant)
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return assistant
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def create_thread():
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thread = openai_client.beta.threads.create()
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show_json("thread", thread)
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return thread
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def create_message(thread, msg):
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message = openai_client.beta.threads.messages.create(
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role="user",
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thread_id=thread.id,
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show_json("message", message)
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return message
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def create_run(assistant, thread):
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run = openai_client.beta.threads.runs.create(
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assistant_id=assistant.id,
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thread_id=thread.id,
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show_json("run", run)
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return run
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def wait_on_run(thread, run):
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while run.status == "queued" or run.status == "in_progress":
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run = openai_client.beta.threads.runs.retrieve(
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thread_id=thread.id,
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return run
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def get_run_steps(thread, run):
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run_steps = openai_client.beta.threads.runs.steps.list(
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thread_id=thread.id,
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run_id=run.id,
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return tool_call_ids, tool_call_results
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def recurse_execute_tool_calls(thread, run, run_steps, iteration):
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tool_call_ids, tool_call_results = execute_tool_calls(run_steps)
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if len(tool_call_ids) > iteration:
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tool_output = {}
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try:
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"output": tool_call_results[iteration]
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}
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# https://platform.openai.com/docs/api-reference/runs/submitToolOutputs
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run = openai_client.beta.threads.runs.submit_tool_outputs(
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thread_id=thread.id,
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run_id=run.id,
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tool_outputs=[tool_output]
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)
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run = wait_on_run(thread, run)
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run_steps = get_run_steps(thread, run)
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recurse_execute_tool_calls(thread, run, run_steps, iteration + 1)
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else:
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return
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def get_messages(thread):
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messages = openai_client.beta.threads.messages.list(
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thread_id=thread.id
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)
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show_json("messages", messages)
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return messages
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def extract_content_values(data):
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text_values, image_values = [], []
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for item in data.data:
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for content in item.content:
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# TODO: Handle other file types
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if content.type == "text":
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text_value = content.text.value
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text_values.append(text_value)
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if content.type == "image_file":
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image_value = content.image_file.file_id
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image_values.append(image_value)
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return text_values, image_values
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