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https://github.com/open-webui/open-webui
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refac: tools & rag
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fc46532955
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@ -236,10 +236,9 @@ def get_embedding_function(
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return lambda query: generate_multiple(query, func)
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def rag_messages(
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def get_rag_context(
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docs,
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messages,
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template,
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embedding_function,
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k,
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reranking_function,
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@ -318,16 +317,7 @@ def rag_messages(
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context_string = context_string.strip()
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ra_content = rag_template(
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template=template,
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context=context_string,
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query=query,
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)
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log.debug(f"ra_content: {ra_content}")
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messages = add_or_update_system_message(ra_content, messages)
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return messages, citations
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return context_string, citations
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def get_model_path(model: str, update_model: bool = False):
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@ -64,7 +64,7 @@ from utils.task import (
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)
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from utils.misc import get_last_user_message, add_or_update_system_message
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from apps.rag.utils import rag_messages, rag_template
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from apps.rag.utils import get_rag_context, rag_template
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from config import (
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CONFIG_DATA,
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@ -248,6 +248,10 @@ class ChatCompletionMiddleware(BaseHTTPMiddleware):
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# Parse string to JSON
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data = json.loads(body_str) if body_str else {}
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user = get_current_user(
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get_http_authorization_cred(request.headers.get("Authorization"))
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)
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# Remove the citations from the body
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return_citations = data.get("citations", False)
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if "citations" in data:
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@ -276,13 +280,11 @@ class ChatCompletionMiddleware(BaseHTTPMiddleware):
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):
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task_model_id = app.state.config.TASK_MODEL_EXTERNAL
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if "tool_ids" in data:
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user = get_current_user(
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get_http_authorization_cred(request.headers.get("Authorization"))
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)
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prompt = get_last_user_message(data["messages"])
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context = ""
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# If tool_ids field is present, call the functions
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if "tool_ids" in data:
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prompt = get_last_user_message(data["messages"])
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for tool_id in data["tool_ids"]:
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print(tool_id)
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response = await get_function_call_response(
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@ -295,6 +297,27 @@ class ChatCompletionMiddleware(BaseHTTPMiddleware):
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if response:
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context += ("\n" if context != "" else "") + response
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del data["tool_ids"]
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# If docs field is present, generate RAG completions
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if "docs" in data:
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data = {**data}
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rag_context, citations = get_rag_context(
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docs=data["docs"],
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messages=data["messages"],
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embedding_function=rag_app.state.EMBEDDING_FUNCTION,
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k=rag_app.state.config.TOP_K,
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reranking_function=rag_app.state.sentence_transformer_rf,
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r=rag_app.state.config.RELEVANCE_THRESHOLD,
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hybrid_search=rag_app.state.config.ENABLE_RAG_HYBRID_SEARCH,
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)
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if rag_context:
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context += ("\n" if context != "" else "") + rag_context
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del data["docs"]
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log.debug(f"rag_context: {rag_context}, citations: {citations}")
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if context != "":
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system_prompt = rag_template(
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@ -307,27 +330,6 @@ class ChatCompletionMiddleware(BaseHTTPMiddleware):
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f"\n{system_prompt}", data["messages"]
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)
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del data["tool_ids"]
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# If docs field is present, generate RAG completions
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if "docs" in data:
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data = {**data}
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data["messages"], citations = rag_messages(
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docs=data["docs"],
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messages=data["messages"],
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template=rag_app.state.config.RAG_TEMPLATE,
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embedding_function=rag_app.state.EMBEDDING_FUNCTION,
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k=rag_app.state.config.TOP_K,
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reranking_function=rag_app.state.sentence_transformer_rf,
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r=rag_app.state.config.RELEVANCE_THRESHOLD,
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hybrid_search=rag_app.state.config.ENABLE_RAG_HYBRID_SEARCH,
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)
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del data["docs"]
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log.debug(
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f"data['messages']: {data['messages']}, citations: {citations}"
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)
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modified_body_bytes = json.dumps(data).encode("utf-8")
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# Replace the request body with the modified one
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