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refac: code interpreter
This commit is contained in:
Timothy Jaeryang Baek
@@ -1335,8 +1335,10 @@ DEFAULT_CODE_INTERPRETER_PROMPT = """
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- When coding, **always aim to print meaningful outputs** (e.g., results, tables, summaries, or visuals) to better interpret and verify the findings. Avoid relying on implicit outputs; prioritize explicit and clear print statements so the results are effectively communicated to the user.
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- After obtaining the printed output, **always provide a concise analysis, interpretation, or next steps to help the user understand the findings or refine the outcome further.**
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- If the results are unclear, unexpected, or require validation, refine the code and execute it again as needed. Always aim to deliver meaningful insights from the results, iterating if necessary.
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- If a link is provided for an image, audio, or any file, include it in the response exactly as given to ensure the user has access to the original resource.
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- All responses should be communicated in the chat's primary language, ensuring seamless understanding. If the chat is multilingual, default to English for clarity.
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- **If a link to an image, audio, or any file is provided in markdown format, explicitly display it as part of the response to ensure the user can access it easily.**
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Ensure that the tools are effectively utilized to achieve the highest-quality analysis for the user."""
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@@ -1,6 +1,8 @@
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import time
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import logging
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import sys
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import os
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import base64
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import asyncio
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from aiocache import cached
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@@ -69,6 +71,7 @@ from open_webui.utils.plugin import load_function_module_by_id
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from open_webui.tasks import create_task
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from open_webui.config import (
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CACHE_DIR,
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DEFAULT_TOOLS_FUNCTION_CALLING_PROMPT_TEMPLATE,
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DEFAULT_CODE_INTERPRETER_PROMPT,
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)
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@@ -1241,7 +1244,9 @@ async def process_chat_response(
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# We might want to disable this by default
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DETECT_REASONING = True
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DETECT_CODE_INTERPRETER = True
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DETECT_CODE_INTERPRETER = metadata.get("features", {}).get(
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"code_interpreter", False
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)
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reasoning_tags = ["think", "reason", "reasoning", "thought", "Thought"]
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code_interpreter_tags = ["code_interpreter"]
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@@ -1386,74 +1391,108 @@ async def process_chat_response(
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await stream_body_handler(response)
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MAX_RETRIES = 5
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retries = 0
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if DETECT_CODE_INTERPRETER:
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MAX_RETRIES = 5
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retries = 0
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while (
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content_blocks[-1]["type"] == "code_interpreter"
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and retries < MAX_RETRIES
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):
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retries += 1
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log.debug(f"Attempt count: {retries}")
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while (
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content_blocks[-1]["type"] == "code_interpreter"
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and retries < MAX_RETRIES
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):
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retries += 1
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log.debug(f"Attempt count: {retries}")
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output = ""
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try:
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if content_blocks[-1]["attributes"].get("type") == "code":
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output = await event_caller(
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{
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"type": "execute:python",
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"data": {
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"id": str(uuid4()),
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"code": content_blocks[-1]["content"],
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},
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}
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)
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except Exception as e:
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output = str(e)
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content_blocks[-1]["output"] = output
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content_blocks.append(
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{
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"type": "text",
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"content": "",
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}
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)
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await event_emitter(
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{
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"type": "chat:completion",
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"data": {
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"content": serialize_content_blocks(content_blocks),
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},
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}
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)
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try:
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res = await generate_chat_completion(
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request,
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{
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"model": model_id,
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"stream": True,
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"messages": [
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*form_data["messages"],
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output = ""
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try:
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if content_blocks[-1]["attributes"].get("type") == "code":
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output = await event_caller(
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{
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"role": "assistant",
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"content": serialize_content_blocks(
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content_blocks, raw=True
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),
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},
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],
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},
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user,
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"type": "execute:python",
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"data": {
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"id": str(uuid4()),
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"code": content_blocks[-1]["content"],
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},
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}
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)
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if isinstance(output, dict):
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stdout = output.get("stdout", "")
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if stdout:
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stdoutLines = stdout.split("\n")
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for idx, line in enumerate(stdoutLines):
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if "data:image/png;base64" in line:
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id = str(uuid4())
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# ensure the path exists
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os.makedirs(
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os.path.join(CACHE_DIR, "images"),
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exist_ok=True,
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)
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image_path = os.path.join(
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CACHE_DIR,
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f"images/{id}.png",
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)
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with open(image_path, "wb") as f:
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f.write(
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base64.b64decode(
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line.split(",")[1]
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)
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)
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stdoutLines[idx] = (
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f""
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)
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output["stdout"] = "\n".join(stdoutLines)
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except Exception as e:
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output = str(e)
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content_blocks[-1]["output"] = output
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content_blocks.append(
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{
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"type": "text",
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"content": "",
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}
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)
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if isinstance(res, StreamingResponse):
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await stream_body_handler(res)
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else:
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await event_emitter(
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{
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"type": "chat:completion",
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"data": {
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"content": serialize_content_blocks(content_blocks),
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},
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}
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)
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try:
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res = await generate_chat_completion(
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request,
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{
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"model": model_id,
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"stream": True,
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"messages": [
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*form_data["messages"],
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{
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"role": "assistant",
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"content": serialize_content_blocks(
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content_blocks, raw=True
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),
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},
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],
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},
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user,
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)
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if isinstance(res, StreamingResponse):
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await stream_body_handler(res)
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else:
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break
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except Exception as e:
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log.debug(e)
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break
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except Exception as e:
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log.debug(e)
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break
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title = Chats.get_chat_title_by_id(metadata["chat_id"])
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data = {
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