mirror of
https://github.com/infiniflow/ragflow.git
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Refa: unify reference format of agent completion and OpenAI-compatible completion API (#9792)
### What problem does this PR solve? Unify reference format of agent completion and OpenAI-compatible completion API. ### Type of change - [x] Bug Fix (non-breaking change which fixes an issue) - [x] Documentation Update - [x] Refactoring
This commit is contained in:
@ -414,7 +414,7 @@ def agents_completion_openai_compatibility(tenant_id, agent_id):
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tenant_id,
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agent_id,
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question,
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session_id=req.get("id", req.get("metadata", {}).get("id", "")),
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session_id=req.get("session_id", req.get("id", "") or req.get("metadata", {}).get("id", "")),
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stream=True,
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**req,
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),
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@ -432,7 +432,7 @@ def agents_completion_openai_compatibility(tenant_id, agent_id):
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tenant_id,
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agent_id,
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question,
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session_id=req.get("id", req.get("metadata", {}).get("id", "")),
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session_id=req.get("session_id", req.get("id", "") or req.get("metadata", {}).get("id", "")),
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stream=False,
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**req,
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)
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@ -445,7 +445,6 @@ def agents_completion_openai_compatibility(tenant_id, agent_id):
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def agent_completions(tenant_id, agent_id):
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req = request.json
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ans = {}
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if req.get("stream", True):
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def generate():
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@ -456,14 +455,13 @@ def agent_completions(tenant_id, agent_id):
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except Exception:
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continue
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if ans.get("event") != "message" or not ans.get("data", {}).get("reference", None):
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if ans.get("event") not in ["message", "message_end"]:
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continue
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yield answer
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yield "data:[DONE]\n\n"
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if req.get("stream", True):
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resp = Response(generate(), mimetype="text/event-stream")
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resp.headers.add_header("Cache-control", "no-cache")
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resp.headers.add_header("Connection", "keep-alive")
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@ -472,6 +470,8 @@ def agent_completions(tenant_id, agent_id):
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return resp
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full_content = ""
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reference = {}
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final_ans = ""
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for answer in agent_completion(tenant_id=tenant_id, agent_id=agent_id, **req):
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try:
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ans = json.loads(answer[5:])
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@ -480,11 +480,14 @@ def agent_completions(tenant_id, agent_id):
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full_content += ans["data"]["content"]
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if ans.get("data", {}).get("reference", None):
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ans["data"]["content"] = full_content
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return get_result(data=ans)
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reference.update(ans["data"]["reference"])
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final_ans = ans
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except Exception as e:
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return get_result(data=f"**ERROR**: {str(e)}")
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return get_result(data=ans)
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final_ans["data"]["content"] = full_content
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final_ans["data"]["reference"] = reference
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return get_result(data=final_ans)
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@manager.route("/chats/<chat_id>/sessions", methods=["GET"]) # noqa: F821
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@ -213,26 +213,33 @@ def completionOpenAI(tenant_id, agent_id, question, session_id=None, stream=True
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except Exception as e:
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logging.exception(f"Agent OpenAI-Compatible completionOpenAI parse answer failed: {e}")
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continue
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if ans.get("event") != "message" or not ans.get("data", {}).get("reference", None):
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if ans.get("event") not in ["message", "message_end"]:
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continue
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content_piece = ans["data"]["content"]
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content_piece = ""
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if ans["event"] == "message":
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content_piece = ans["data"]["content"]
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completion_tokens += len(tiktokenenc.encode(content_piece))
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yield "data: " + json.dumps(
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get_data_openai(
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openai_data = get_data_openai(
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id=session_id or str(uuid4()),
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model=agent_id,
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content=content_piece,
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prompt_tokens=prompt_tokens,
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completion_tokens=completion_tokens,
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stream=True
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),
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ensure_ascii=False
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) + "\n\n"
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)
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if ans.get("data", {}).get("reference", None):
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openai_data["choices"][0]["delta"]["reference"] = ans["data"]["reference"]
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yield "data: " + json.dumps(openai_data, ensure_ascii=False) + "\n\n"
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yield "data: [DONE]\n\n"
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except Exception as e:
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logging.exception(e)
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yield "data: " + json.dumps(
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get_data_openai(
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id=session_id or str(uuid4()),
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@ -250,6 +257,7 @@ def completionOpenAI(tenant_id, agent_id, question, session_id=None, stream=True
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else:
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try:
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all_content = ""
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reference = {}
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for ans in completion(
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tenant_id=tenant_id,
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agent_id=agent_id,
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@ -260,13 +268,18 @@ def completionOpenAI(tenant_id, agent_id, question, session_id=None, stream=True
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):
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if isinstance(ans, str):
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ans = json.loads(ans[5:])
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if ans.get("event") != "message" or not ans.get("data", {}).get("reference", None):
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if ans.get("event") not in ["message", "message_end"]:
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continue
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all_content += ans["data"]["content"]
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if ans["event"] == "message":
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all_content += ans["data"]["content"]
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if ans.get("data", {}).get("reference", None):
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reference.update(ans["data"]["reference"])
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completion_tokens = len(tiktokenenc.encode(all_content))
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yield get_data_openai(
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openai_data = get_data_openai(
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id=session_id or str(uuid4()),
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model=agent_id,
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prompt_tokens=prompt_tokens,
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@ -276,7 +289,12 @@ def completionOpenAI(tenant_id, agent_id, question, session_id=None, stream=True
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param=None
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)
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if reference:
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openai_data["choices"][0]["message"]["reference"] = reference
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yield openai_data
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except Exception as e:
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logging.exception(e)
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yield get_data_openai(
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id=session_id or str(uuid4()),
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model=agent_id,
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@ -143,7 +143,6 @@ Non-stream:
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}
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```
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Failure:
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```json
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@ -200,19 +199,24 @@ curl --request POST \
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- `stream` (*Body parameter*) `boolean`
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Whether to receive the response as a stream. Set this to `false` explicitly if you prefer to receive the entire response in one go instead of as a stream.
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- `session_id` (*Body parameter*) `string`
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Agent session id.
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#### Response
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Stream:
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```json
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...
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data: {
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"id": "5fa65c94-e316-4954-800a-06dfd5827052",
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"id": "c39f6f9c83d911f0858253708ecb6573",
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"object": "chat.completion.chunk",
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"model": "99ee29d6783511f09c921a6272e682d8",
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"model": "d1f79142831f11f09cc51795b9eb07c0",
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"choices": [
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{
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"delta": {
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"content": "Hello"
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"content": " terminal"
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},
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"finish_reason": null,
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"index": 0
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@ -220,21 +224,83 @@ data: {
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]
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}
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data: {"id": "518022d9-545b-4100-89ed-ecd9e46fa753", "object": "chat.completion.chunk", "model": "99ee29d6783511f09c921a6272e682d8", "choices": [{"delta": {"content": "!"}, "finish_reason": null, "index": 0}]}
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data: {
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"id": "c39f6f9c83d911f0858253708ecb6573",
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"object": "chat.completion.chunk",
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"model": "d1f79142831f11f09cc51795b9eb07c0",
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"choices": [
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{
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"delta": {
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"content": "."
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},
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"finish_reason": null,
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"index": 0
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}
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]
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}
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data: {"id": "f37c4af0-8187-4c86-8186-048c3c6ffe4e", "object": "chat.completion.chunk", "model": "99ee29d6783511f09c921a6272e682d8", "choices": [{"delta": {"content": " How"}, "finish_reason": null, "index": 0}]}
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data: {"id": "3ebc0fcb-0f85-4024-b4a5-3b03234a16df", "object": "chat.completion.chunk", "model": "99ee29d6783511f09c921a6272e682d8", "choices": [{"delta": {"content": " can"}, "finish_reason": null, "index": 0}]}
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data: {"id": "efa1f3cf-7bc4-47a4-8e53-cd696f290587", "object": "chat.completion.chunk", "model": "99ee29d6783511f09c921a6272e682d8", "choices": [{"delta": {"content": " I"}, "finish_reason": null, "index": 0}]}
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data: {"id": "2eb6f741-50a3-4d3d-8418-88be27895611", "object": "chat.completion.chunk", "model": "99ee29d6783511f09c921a6272e682d8", "choices": [{"delta": {"content": " assist"}, "finish_reason": null, "index": 0}]}
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data: {"id": "f1227e4f-bf8b-462c-8632-8f5269492ce9", "object": "chat.completion.chunk", "model": "99ee29d6783511f09c921a6272e682d8", "choices": [{"delta": {"content": " you"}, "finish_reason": null, "index": 0}]}
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data: {"id": "35b669d0-b2be-4c0c-88d8-17ff98592b21", "object": "chat.completion.chunk", "model": "99ee29d6783511f09c921a6272e682d8", "choices": [{"delta": {"content": " today"}, "finish_reason": null, "index": 0}]}
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data: {"id": "f00d8a39-af60-4f32-924f-d64106a7fdf1", "object": "chat.completion.chunk", "model": "99ee29d6783511f09c921a6272e682d8", "choices": [{"delta": {"content": "?"}, "finish_reason": null, "index": 0}]}
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data: {
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"id": "c39f6f9c83d911f0858253708ecb6573",
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"object": "chat.completion.chunk",
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"model": "d1f79142831f11f09cc51795b9eb07c0",
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"choices": [
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{
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"delta": {
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"content": "",
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"reference": {
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"chunks": {
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"20": {
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"id": "4b8935ac0a22deb1",
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"content": "```cd /usr/ports/editors/neovim/ && make install```## Android[Termux](https://github.com/termux/termux-app) offers a Neovim package.",
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"document_id": "4bdd2ff65e1511f0907f09f583941b45",
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"document_name": "INSTALL22.md",
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"dataset_id": "456ce60c5e1511f0907f09f583941b45",
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"image_id": "",
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"positions": [
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[
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12,
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11,
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11,
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11,
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11
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]
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],
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"url": null,
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"similarity": 0.5697155305154673,
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"vector_similarity": 0.7323851005515574,
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"term_similarity": 0.5000000005,
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"doc_type": ""
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}
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},
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"doc_aggs": {
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"INSTALL22.md": {
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"doc_name": "INSTALL22.md",
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"doc_id": "4bdd2ff65e1511f0907f09f583941b45",
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"count": 3
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},
|
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"INSTALL.md": {
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"doc_name": "INSTALL.md",
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"doc_id": "4bd7fdd85e1511f0907f09f583941b45",
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||||
"count": 2
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||||
},
|
||||
"INSTALL(1).md": {
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||||
"doc_name": "INSTALL(1).md",
|
||||
"doc_id": "4bdfb42e5e1511f0907f09f583941b45",
|
||||
"count": 2
|
||||
},
|
||||
"INSTALL3.md": {
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||||
"doc_name": "INSTALL3.md",
|
||||
"doc_id": "4bdab5825e1511f0907f09f583941b45",
|
||||
"count": 1
|
||||
}
|
||||
}
|
||||
}
|
||||
},
|
||||
"finish_reason": null,
|
||||
"index": 0
|
||||
}
|
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]
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}
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data: [DONE]
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```
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@ -249,30 +315,77 @@ Non-stream:
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"index": 0,
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"logprobs": null,
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"message": {
|
||||
"content": "Hello! How can I assist you today?",
|
||||
"content": "\nTo install Neovim, the process varies depending on your operating system:\n\n### For Windows:\n1. **Download from GitHub**: \n - Visit the [Neovim releases page](https://github.com/neovim/neovim/releases)\n - Download the latest Windows installer (nvim-win64.msi)\n - Run the installer and follow the prompts\n\n2. **Using winget** (Windows Package Manager):\n...",
|
||||
"reference": {
|
||||
"chunks": {
|
||||
"20": {
|
||||
"content": "```cd /usr/ports/editors/neovim/ && make install```## Android[Termux](https://github.com/termux/termux-app) offers a Neovim package.",
|
||||
"dataset_id": "456ce60c5e1511f0907f09f583941b45",
|
||||
"doc_type": "",
|
||||
"document_id": "4bdd2ff65e1511f0907f09f583941b45",
|
||||
"document_name": "INSTALL22.md",
|
||||
"id": "4b8935ac0a22deb1",
|
||||
"image_id": "",
|
||||
"positions": [
|
||||
[
|
||||
12,
|
||||
11,
|
||||
11,
|
||||
11,
|
||||
11
|
||||
]
|
||||
],
|
||||
"similarity": 0.5697155305154673,
|
||||
"term_similarity": 0.5000000005,
|
||||
"url": null,
|
||||
"vector_similarity": 0.7323851005515574
|
||||
}
|
||||
},
|
||||
"doc_aggs": {
|
||||
"INSTALL(1).md": {
|
||||
"count": 2,
|
||||
"doc_id": "4bdfb42e5e1511f0907f09f583941b45",
|
||||
"doc_name": "INSTALL(1).md"
|
||||
},
|
||||
"INSTALL.md": {
|
||||
"count": 2,
|
||||
"doc_id": "4bd7fdd85e1511f0907f09f583941b45",
|
||||
"doc_name": "INSTALL.md"
|
||||
},
|
||||
"INSTALL22.md": {
|
||||
"count": 3,
|
||||
"doc_id": "4bdd2ff65e1511f0907f09f583941b45",
|
||||
"doc_name": "INSTALL22.md"
|
||||
},
|
||||
"INSTALL3.md": {
|
||||
"count": 1,
|
||||
"doc_id": "4bdab5825e1511f0907f09f583941b45",
|
||||
"doc_name": "INSTALL3.md"
|
||||
}
|
||||
}
|
||||
},
|
||||
"role": "assistant"
|
||||
}
|
||||
}
|
||||
],
|
||||
"created": null,
|
||||
"id": "17aa4ec5-6d36-40c6-9a96-1b069c216d59",
|
||||
"model": "99ee29d6783511f09c921a6272e682d8",
|
||||
"id": "c39f6f9c83d911f0858253708ecb6573",
|
||||
"model": "d1f79142831f11f09cc51795b9eb07c0",
|
||||
"object": "chat.completion",
|
||||
"param": null,
|
||||
"usage": {
|
||||
"completion_tokens": 9,
|
||||
"completion_tokens": 415,
|
||||
"completion_tokens_details": {
|
||||
"accepted_prediction_tokens": 0,
|
||||
"reasoning_tokens": 0,
|
||||
"rejected_prediction_tokens": 0
|
||||
},
|
||||
"prompt_tokens": 1,
|
||||
"total_tokens": 10
|
||||
"prompt_tokens": 6,
|
||||
"total_tokens": 421
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
|
||||
Failure:
|
||||
|
||||
```json
|
||||
@ -729,6 +842,7 @@ Failure:
|
||||
"message": "The dataset doesn't exist"
|
||||
}
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
### Get knowledge graph
|
||||
@ -808,6 +922,7 @@ Failure:
|
||||
"message": "The dataset doesn't exist"
|
||||
}
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
### Delete knowledge graph
|
||||
@ -855,6 +970,7 @@ Failure:
|
||||
"message": "The dataset doesn't exist"
|
||||
}
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## FILE MANAGEMENT WITHIN DATASET
|
||||
@ -3017,41 +3133,88 @@ success without `session_id` provided and with no variables specified in the **B
|
||||
Stream:
|
||||
|
||||
```json
|
||||
data:{
|
||||
"event": "message",
|
||||
"message_id": "eb0c0a5e783511f0b9b61a6272e682d8",
|
||||
"created_at": 1755083342,
|
||||
"task_id": "99ee29d6783511f09c921a6272e682d8",
|
||||
"data": {
|
||||
"content": "Hello"
|
||||
},
|
||||
"session_id": "eaf19a8e783511f0b9b61a6272e682d8"
|
||||
}
|
||||
|
||||
data:{
|
||||
"event": "message",
|
||||
"message_id": "eb0c0a5e783511f0b9b61a6272e682d8",
|
||||
"created_at": 1755083342,
|
||||
"task_id": "99ee29d6783511f09c921a6272e682d8",
|
||||
"data": {
|
||||
"content": "!"
|
||||
},
|
||||
"session_id": "eaf19a8e783511f0b9b61a6272e682d8"
|
||||
}
|
||||
|
||||
data:{
|
||||
"event": "message",
|
||||
"message_id": "eb0c0a5e783511f0b9b61a6272e682d8",
|
||||
"created_at": 1755083342,
|
||||
"task_id": "99ee29d6783511f09c921a6272e682d8",
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data:[DONE]
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```
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||||
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||||
@ -3061,21 +3224,77 @@ Non-stream:
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"content": "Hello! How can I assist you today?"
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```
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||||
|
||||
Reference in New Issue
Block a user