mirror of
https://github.com/open-webui/pipelines
synced 2025-05-11 16:10:45 +00:00
Merge branch 'open-webui:main' into main
This commit is contained in:
commit
d6c025e976
@ -11,6 +11,16 @@ from utils.pipelines.main import (
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get_tools_specs,
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get_tools_specs,
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)
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)
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# System prompt for function calling
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DEFAULT_SYSTEM_PROMPT = (
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"""Tools: {}
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If a function tool doesn't match the query, return an empty string. Else, pick a
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function tool, fill in the parameters from the function tool's schema, and
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return it in the format {{ "name": \"functionName\", "parameters": {{ "key":
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"value" }} }}. Only pick a function if the user asks. Only return the object. Do not return any other text."
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"""
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)
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class Pipeline:
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class Pipeline:
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class Valves(BaseModel):
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class Valves(BaseModel):
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@ -29,7 +39,7 @@ class Pipeline:
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TASK_MODEL: str
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TASK_MODEL: str
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TEMPLATE: str
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TEMPLATE: str
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def __init__(self):
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def __init__(self, prompt: str | None = None) -> None:
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# Pipeline filters are only compatible with Open WebUI
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# Pipeline filters are only compatible with Open WebUI
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# You can think of filter pipeline as a middleware that can be used to edit the form data before it is sent to the OpenAI API.
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# You can think of filter pipeline as a middleware that can be used to edit the form data before it is sent to the OpenAI API.
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self.type = "filter"
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self.type = "filter"
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@ -40,6 +50,8 @@ class Pipeline:
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# The identifier must be an alphanumeric string that can include underscores or hyphens. It cannot contain spaces, special characters, slashes, or backslashes.
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# The identifier must be an alphanumeric string that can include underscores or hyphens. It cannot contain spaces, special characters, slashes, or backslashes.
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# self.id = "function_calling_blueprint"
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# self.id = "function_calling_blueprint"
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self.name = "Function Calling Blueprint"
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self.name = "Function Calling Blueprint"
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self.prompt = prompt or DEFAULT_SYSTEM_PROMPT
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self.tools: object = None
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# Initialize valves
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# Initialize valves
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self.valves = self.Valves(
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self.valves = self.Valves(
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@ -87,14 +99,45 @@ And answer according to the language of the user's question.""",
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# Get the tools specs
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# Get the tools specs
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tools_specs = get_tools_specs(self.tools)
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tools_specs = get_tools_specs(self.tools)
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# System prompt for function calling
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prompt = self.prompt.format(json.dumps(tools_specs, indent=2))
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fc_system_prompt = (
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content = "History:\n" + "\n".join(
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f"Tools: {json.dumps(tools_specs, indent=2)}"
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[
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+ """
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f"{message['role']}: {message['content']}"
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If a function tool doesn't match the query, return an empty string. Else, pick a function tool, fill in the parameters from the function tool's schema, and return it in the format { "name": \"functionName\", "parameters": { "key": "value" } }. Only pick a function if the user asks. Only return the object. Do not return any other text."
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for message in body["messages"][::-1][:4]
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"""
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]
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)
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) + f"Query: {user_message}"
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result = self.run_completion(prompt, content)
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messages = self.call_function(result, body["messages"])
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return {**body, "messages": messages}
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# Call the function
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def call_function(self, result, messages: list[dict]) -> list[dict]:
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if "name" not in result:
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return messages
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function = getattr(self.tools, result["name"])
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function_result = None
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try:
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function_result = function(**result["parameters"])
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except Exception as e:
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print(e)
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# Add the function result to the system prompt
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if function_result:
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system_prompt = self.valves.TEMPLATE.replace(
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"{{CONTEXT}}", function_result
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)
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messages = add_or_update_system_message(
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system_prompt, messages
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)
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# Return the updated messages
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return messages
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def run_completion(self, system_prompt: str, content: str) -> dict:
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r = None
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r = None
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try:
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try:
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# Call the OpenAI API to get the function response
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# Call the OpenAI API to get the function response
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@ -105,18 +148,11 @@ If a function tool doesn't match the query, return an empty string. Else, pick a
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"messages": [
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"messages": [
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{
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{
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"role": "system",
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"role": "system",
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"content": fc_system_prompt,
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"content": system_prompt,
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},
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},
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{
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{
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"role": "user",
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"role": "user",
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"content": "History:\n"
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"content": content,
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+ "\n".join(
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[
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f"{message['role']}: {message['content']}"
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for message in body["messages"][::-1][:4]
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]
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)
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+ f"Query: {user_message}",
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},
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},
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],
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],
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# TODO: dynamically add response_format?
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# TODO: dynamically add response_format?
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@ -137,29 +173,7 @@ If a function tool doesn't match the query, return an empty string. Else, pick a
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if content != "":
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if content != "":
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result = json.loads(content)
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result = json.loads(content)
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print(result)
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print(result)
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return result
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# Call the function
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if "name" in result:
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function = getattr(self.tools, result["name"])
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function_result = None
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try:
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function_result = function(**result["parameters"])
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except Exception as e:
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print(e)
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# Add the function result to the system prompt
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if function_result:
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system_prompt = self.valves.TEMPLATE.replace(
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"{{CONTEXT}}", function_result
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)
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print(system_prompt)
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messages = add_or_update_system_message(
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system_prompt, body["messages"]
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)
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# Return the updated messages
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return {**body, "messages": messages}
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except Exception as e:
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except Exception as e:
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print(f"Error: {e}")
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print(f"Error: {e}")
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@ -170,4 +184,4 @@ If a function tool doesn't match the query, return an empty string. Else, pick a
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except:
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except:
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pass
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pass
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return body
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return {}
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@ -62,7 +62,7 @@ def pop_system_message(messages: List[dict]) -> Tuple[dict, List[dict]]:
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return get_system_message(messages), remove_system_message(messages)
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return get_system_message(messages), remove_system_message(messages)
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def add_or_update_system_message(content: str, messages: List[dict]):
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def add_or_update_system_message(content: str, messages: List[dict]) -> List[dict]:
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"""
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"""
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Adds a new system message at the beginning of the messages list
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Adds a new system message at the beginning of the messages list
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or updates the existing system message at the beginning.
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or updates the existing system message at the beginning.
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