fix: Fixed multi-turn dialogue bug

.env.template

@@ -96,6 +96,13 @@ KNOWLEDGE_SEARCH_REWRITE=False
 # proxy_openai_proxy_api_key={your-openai-sk}
 # proxy_openai_proxy_backend=text-embedding-ada-002
 
+## Common HTTP embedding model
+# EMBEDDING_MODEL=proxy_http_openapi
+# proxy_http_openapi_proxy_server_url=http://localhost:8100/api/v1/embeddings
+# proxy_http_openapi_proxy_api_key=1dce29a6d66b4e2dbfec67044edbb924
+# proxy_http_openapi_proxy_backend=text2vec
+
+
 
 #*******************************************************************#
 #**                  DB-GPT METADATA DATABASE SETTINGS            **#

dbgpt/configs/model_config.py

@@ -172,6 +172,8 @@ def get_device() -> str:
     "sentence-transforms": os.path.join(MODEL_PATH, "all-MiniLM-L6-v2"),
     "proxy_openai": "proxy_openai",
     "proxy_azure": "proxy_azure",
+    # Common HTTP embedding model
+    "proxy_http_openapi": "proxy_http_openapi",
 }
 
 

dbgpt/core/interface/operators/message_operator.py

@@ -370,9 +370,13 @@ def __init__(
     ):
         """Create a new BufferedConversationMapperOperator."""
         # Validate the input parameters
-        if keep_start_rounds is not None and keep_start_rounds < 0:
+        if keep_start_rounds is None:
+            keep_start_rounds = 0
+        if keep_end_rounds is None:
+            keep_end_rounds = 0
+        if keep_start_rounds < 0:
             raise ValueError("keep_start_rounds must be non-negative")
-        if keep_end_rounds is not None and keep_end_rounds < 0:
+        if keep_end_rounds < 0:
             raise ValueError("keep_end_rounds must be non-negative")
 
         self._keep_start_rounds = keep_start_rounds
@@ -420,7 +424,7 @@ def _filter_round_messages(
             ...     ],
             ... ]
 
-            # Test keeping only the first 2 rounds
+            >>> # Test keeping only the first 2 rounds
             >>> operator = BufferedConversationMapperOperator(keep_start_rounds=2)
             >>> assert operator._filter_round_messages(messages) == [
             ...     [
@@ -433,7 +437,7 @@ def _filter_round_messages(
             ...     ],
             ... ]
 
-            # Test keeping only the last 2 rounds
+            >>> # Test keeping only the last 2 rounds
             >>> operator = BufferedConversationMapperOperator(keep_end_rounds=2)
             >>> assert operator._filter_round_messages(messages) == [
             ...     [
@@ -446,7 +450,7 @@ def _filter_round_messages(
             ...     ],
             ... ]
 
-            # Test keeping the first 2 and last 1 rounds
+            >>> # Test keeping the first 2 and last 1 rounds
             >>> operator = BufferedConversationMapperOperator(
             ...     keep_start_rounds=2, keep_end_rounds=1
             ... )
@@ -465,24 +469,11 @@ def _filter_round_messages(
             ...     ],
             ... ]
 
-            # Test without specifying start or end rounds (keep all rounds)
+            >>> # Test without specifying start or end rounds (keep 0 rounds)
             >>> operator = BufferedConversationMapperOperator()
-            >>> assert operator._filter_round_messages(messages) == [
-            ...     [
-            ...         HumanMessage(content="Hi", round_index=1),
-            ...         AIMessage(content="Hello!", round_index=1),
-            ...     ],
-            ...     [
-            ...         HumanMessage(content="How are you?", round_index=2),
-            ...         AIMessage(content="I'm good, thanks!", round_index=2),
-            ...     ],
-            ...     [
-            ...         HumanMessage(content="What's new today?", round_index=3),
-            ...         AIMessage(content="Lots of things!", round_index=3),
-            ...     ],
-            ... ]
+            >>> assert operator._filter_round_messages(messages) == []
 
-            # Test end rounds is zero
+            >>> # Test end rounds is zero
             >>> operator = BufferedConversationMapperOperator(
             ...     keep_start_rounds=1, keep_end_rounds=0
             ... )
@@ -503,12 +494,7 @@ def _filter_round_messages(
 
         """
         total_rounds = len(messages_by_round)
-        if (
-            self._keep_start_rounds is not None
-            and self._keep_end_rounds is not None
-            and self._keep_start_rounds > 0
-            and self._keep_end_rounds > 0
-        ):
+        if self._keep_start_rounds > 0 and self._keep_end_rounds > 0:
             if self._keep_start_rounds + self._keep_end_rounds > total_rounds:
                 # Avoid overlapping when the sum of start and end rounds exceeds total
                 # rounds
@@ -517,12 +503,12 @@ def _filter_round_messages(
                 messages_by_round[: self._keep_start_rounds]
                 + messages_by_round[-self._keep_end_rounds :]
             )
-        elif self._keep_start_rounds is not None:
+        elif self._keep_start_rounds:
             return messages_by_round[: self._keep_start_rounds]
-        elif self._keep_end_rounds is not None:
+        elif self._keep_end_rounds:
             return messages_by_round[-self._keep_end_rounds :]
         else:
-            return messages_by_round
+            return []
 
 
 EvictionPolicyType = Callable[[List[List[BaseMessage]]], List[List[BaseMessage]]]

dbgpt/core/interface/operators/tests/test_message_operator.py

@@ -0,0 +1,155 @@
+from typing import List
+
+import pytest
+
+from dbgpt.core.interface.message import AIMessage, BaseMessage, HumanMessage
+from dbgpt.core.operators import BufferedConversationMapperOperator
+
+
+@pytest.fixture
+def messages() -> List[BaseMessage]:
+    return [
+        HumanMessage(content="Hi", round_index=1),
+        AIMessage(content="Hello!", round_index=1),
+        HumanMessage(content="How are you?", round_index=2),
+        AIMessage(content="I'm good, thanks!", round_index=2),
+        HumanMessage(content="What's new today?", round_index=3),
+        AIMessage(content="Lots of things!", round_index=3),
+    ]
+
+
+@pytest.mark.asyncio
+async def test_buffered_conversation_keep_start_rounds(messages: List[BaseMessage]):
+    # Test keep_start_rounds
+    operator = BufferedConversationMapperOperator(
+        keep_start_rounds=2,
+        keep_end_rounds=None,
+    )
+    assert await operator.map_messages(messages) == [
+        HumanMessage(content="Hi", round_index=1),
+        AIMessage(content="Hello!", round_index=1),
+        HumanMessage(content="How are you?", round_index=2),
+        AIMessage(content="I'm good, thanks!", round_index=2),
+    ]
+    # Test keep start 0 rounds
+    operator = BufferedConversationMapperOperator(
+        keep_start_rounds=0,
+        keep_end_rounds=None,
+    )
+    assert await operator.map_messages(messages) == []
+
+    # Test keep start 100 rounds
+    operator = BufferedConversationMapperOperator(
+        keep_start_rounds=100,
+        keep_end_rounds=None,
+    )
+    assert await operator.map_messages(messages) == messages
+
+    # Test keep start -1 rounds
+    with pytest.raises(ValueError):
+        operator = BufferedConversationMapperOperator(
+            keep_start_rounds=-1,
+            keep_end_rounds=None,
+        )
+        await operator.map_messages(messages)
+
+
+@pytest.mark.asyncio
+async def test_buffered_conversation_keep_end_rounds(messages: List[BaseMessage]):
+    # Test keep_end_rounds
+    operator = BufferedConversationMapperOperator(
+        keep_start_rounds=None,
+        keep_end_rounds=2,
+    )
+    assert await operator.map_messages(messages) == [
+        HumanMessage(content="How are you?", round_index=2),
+        AIMessage(content="I'm good, thanks!", round_index=2),
+        HumanMessage(content="What's new today?", round_index=3),
+        AIMessage(content="Lots of things!", round_index=3),
+    ]
+    # Test keep end 0 rounds
+    operator = BufferedConversationMapperOperator(
+        keep_start_rounds=0,
+        keep_end_rounds=0,
+    )
+    assert await operator.map_messages(messages) == []
+
+    # Test keep end 100 rounds
+    operator = BufferedConversationMapperOperator(
+        keep_start_rounds=None,
+        keep_end_rounds=100,
+    )
+    assert await operator.map_messages(messages) == messages
+
+    # Test keep end -1 rounds
+    with pytest.raises(ValueError):
+        operator = BufferedConversationMapperOperator(
+            keep_start_rounds=None,
+            keep_end_rounds=-1,
+        )
+        await operator.map_messages(messages)
+
+
+@pytest.mark.asyncio
+async def test_buffered_conversation_keep_start_end_rounds(messages: List[BaseMessage]):
+    # Test keep_start_rounds and keep_end_rounds
+    operator = BufferedConversationMapperOperator(
+        keep_start_rounds=1,
+        keep_end_rounds=1,
+    )
+    assert await operator.map_messages(messages) == [
+        HumanMessage(content="Hi", round_index=1),
+        AIMessage(content="Hello!", round_index=1),
+        HumanMessage(content="What's new today?", round_index=3),
+        AIMessage(content="Lots of things!", round_index=3),
+    ]
+    # Test keep start 0 rounds and keep end 0 rounds
+    operator = BufferedConversationMapperOperator(
+        keep_start_rounds=0,
+        keep_end_rounds=0,
+    )
+    assert await operator.map_messages(messages) == []
+
+    # Test keep start 0 rounds and keep end 1 rounds
+    operator = BufferedConversationMapperOperator(
+        keep_start_rounds=0,
+        keep_end_rounds=1,
+    )
+    assert await operator.map_messages(messages) == [
+        HumanMessage(content="What's new today?", round_index=3),
+        AIMessage(content="Lots of things!", round_index=3),
+    ]
+
+    # Test keep start 2 rounds and keep end 0 rounds
+    operator = BufferedConversationMapperOperator(
+        keep_start_rounds=2,
+        keep_end_rounds=0,
+    )
+    assert await operator.map_messages(messages) == [
+        HumanMessage(content="Hi", round_index=1),
+        AIMessage(content="Hello!", round_index=1),
+        HumanMessage(content="How are you?", round_index=2),
+        AIMessage(content="I'm good, thanks!", round_index=2),
+    ]
+
+    # Test keep start 100 rounds and keep end 100 rounds
+    operator = BufferedConversationMapperOperator(
+        keep_start_rounds=100,
+        keep_end_rounds=100,
+    )
+    assert await operator.map_messages(messages) == messages
+
+    # Test keep start 2 round and keep end 2 rounds
+    operator = BufferedConversationMapperOperator(
+        keep_start_rounds=2,
+        keep_end_rounds=2,
+    )
+    assert await operator.map_messages(messages) == messages
+
+    # Test keep start -1 rounds and keep end -1 rounds
+    with pytest.raises(ValueError):
+        operator = BufferedConversationMapperOperator(
+            keep_start_rounds=-1,
+            keep_end_rounds=-1,
+        )
+        await operator.map_messages(messages)

dbgpt/model/cluster/embedding/loader.py

@@ -1,14 +1,16 @@
 from __future__ import annotations
 
-from typing import TYPE_CHECKING
+from typing import TYPE_CHECKING, Union, cast
 
-from dbgpt.model.parameter import BaseEmbeddingModelParameters
+from dbgpt.model.parameter import BaseEmbeddingModelParameters, ProxyEmbeddingParameters
 from dbgpt.util.parameter_utils import _get_dict_from_obj
 from dbgpt.util.system_utils import get_system_info
 from dbgpt.util.tracer import SpanType, SpanTypeRunName, root_tracer
 
 if TYPE_CHECKING:
-    from langchain.embeddings.base import Embeddings
+    from langchain.embeddings.base import Embeddings as LangChainEmbeddings
+
+    from dbgpt.rag.embedding import Embeddings
 
 
 class EmbeddingLoader:
@@ -17,7 +19,7 @@ def __init__(self) -> None:
 
     def load(
         self, model_name: str, param: BaseEmbeddingModelParameters
-    ) -> "Embeddings":
+    ) -> "Union[LangChainEmbeddings, Embeddings]":
         metadata = {
             "model_name": model_name,
             "run_service": SpanTypeRunName.EMBEDDING_MODEL.value,
@@ -32,6 +34,18 @@ def load(
                 from langchain.embeddings import OpenAIEmbeddings
 
                 return OpenAIEmbeddings(**param.build_kwargs())
+            elif model_name in ["proxy_http_openapi"]:
+                from dbgpt.rag.embedding import OpenAPIEmbeddings
+
+                proxy_param = cast(ProxyEmbeddingParameters, param)
+                openapi_param = {}
+                if proxy_param.proxy_server_url:
+                    openapi_param["api_url"] = proxy_param.proxy_server_url
+                if proxy_param.proxy_api_key:
+                    openapi_param["api_key"] = proxy_param.proxy_api_key
+                if proxy_param.proxy_backend:
+                    openapi_param["model_name"] = proxy_param.proxy_backend
+                return OpenAPIEmbeddings(**openapi_param)
             else:
                 from langchain.embeddings import HuggingFaceEmbeddings
 

dbgpt/model/parameter.py

@@ -552,7 +552,7 @@ def build_kwargs(self, **kwargs) -> Dict:
 
 
 _EMBEDDING_PARAMETER_CLASS_TO_NAME_CONFIG = {
-    ProxyEmbeddingParameters: "proxy_openai,proxy_azure"
+    ProxyEmbeddingParameters: "proxy_openai,proxy_azure,proxy_http_openapi",
 }
 
 EMBEDDING_NAME_TO_PARAMETER_CLASS_CONFIG = {}