From 34fcd93b337aab936dab5eb915b787b7ad7eb0a1 Mon Sep 17 00:00:00 2001 From: Eugene Yurtsev Date: Fri, 22 Nov 2024 15:44:05 -0500 Subject: [PATCH 01/18] qx --- libs/langchain/langchain/memory/summary.py | 4 + libs/langchain/poetry.lock | 253 +++++++++++++-------- 2 files changed, 158 insertions(+), 99 deletions(-) diff --git a/libs/langchain/langchain/memory/summary.py b/libs/langchain/langchain/memory/summary.py index 64c843579befc..6d8d60e33d95e 100644 --- a/libs/langchain/langchain/memory/summary.py +++ b/libs/langchain/langchain/memory/summary.py @@ -1,6 +1,8 @@ from __future__ import annotations from typing import Any, Dict, List, Type +from langchain_core.caches import BaseCache +from langchain_core.callbacks import Callbacks from langchain_core._api import deprecated from langchain_core.chat_history import BaseChatMessageHistory @@ -131,3 +133,5 @@ def clear(self) -> None: """Clear memory contents.""" super().clear() self.buffer = "" + +ConversationSummaryMemory.model_rebuild() \ No newline at end of file diff --git a/libs/langchain/poetry.lock b/libs/langchain/poetry.lock index 7ee448147cd35..617be20d8352e 100644 --- a/libs/langchain/poetry.lock +++ b/libs/langchain/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. 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_get_pydantic_minor_version() if PYDANTIC_MAJOR_VERSION == 1: diff --git a/libs/core/poetry.lock b/libs/core/poetry.lock index eefb92d4715d3..dfc6f8a05c59f 100644 --- a/libs/core/poetry.lock +++ b/libs/core/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. 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a/libs/core/tests/unit_tests/prompts/__snapshots__/test_chat.ambr +++ b/libs/core/tests/unit_tests/prompts/__snapshots__/test_chat.ambr @@ -94,6 +94,7 @@ 'const': 'ai', 'default': 'ai', 'title': 'Type', + 'type': 'string', }), 'usage_metadata': dict({ 'anyOf': list([ @@ -206,6 +207,7 @@ 'const': 'AIMessageChunk', 'default': 'AIMessageChunk', 'title': 'Type', + 'type': 'string', }), 'usage_metadata': dict({ 'anyOf': list([ @@ -290,6 +292,7 @@ 'const': 'chat', 'default': 'chat', 'title': 'Type', + 'type': 'string', }), }), 'required': list([ @@ -364,6 +367,7 @@ 'const': 'ChatMessageChunk', 'default': 'ChatMessageChunk', 'title': 'Type', + 'type': 'string', }), }), 'required': list([ @@ -435,6 +439,7 @@ 'const': 'function', 'default': 'function', 'title': 'Type', + 'type': 'string', }), }), 'required': list([ @@ -497,6 +502,7 @@ 'const': 'FunctionMessageChunk', 'default': 'FunctionMessageChunk', 'title': 'Type', + 'type': 'string', }), }), 'required': list([ @@ -595,6 +601,7 @@ 'const': 'human', 'default': 'human', 'title': 'Type', + 'type': 'string', }), }), 'required': list([ @@ -669,6 +676,7 @@ 'const': 'HumanMessageChunk', 'default': 'HumanMessageChunk', 'title': 'Type', + 'type': 'string', }), }), 'required': list([ @@ -767,6 +775,7 @@ 'type': dict({ 'const': 'invalid_tool_call', 'title': 'Type', + 'type': 'string', }), }), 'required': list([ @@ -892,6 +901,7 @@ 'const': 'system', 'default': 'system', 'title': 'Type', + 'type': 'string', }), }), 'required': list([ @@ -961,6 +971,7 @@ 'const': 'SystemMessageChunk', 'default': 'SystemMessageChunk', 'title': 'Type', + 'type': 'string', }), }), 'required': list([ @@ -1009,6 +1020,7 @@ 'type': dict({ 'const': 'tool_call', 'title': 'Type', + 'type': 'string', }), }), 'required': list([ @@ -1087,6 +1099,7 @@ 'type': dict({ 'const': 'tool_call_chunk', 'title': 'Type', + 'type': 'string', }), }), 'required': list([ @@ -1209,6 +1222,7 @@ 'const': 'tool', 'default': 'tool', 'title': 'Type', + 'type': 'string', }), }), 'required': list([ @@ -1290,6 +1304,7 @@ 'const': 'ToolMessageChunk', 'default': 'ToolMessageChunk', 'title': 'Type', + 'type': 'string', }), }), 'required': list([ @@ -1509,6 +1524,7 @@ 'const': 'ai', 'default': 'ai', 'title': 'Type', + 'type': 'string', }), 'usage_metadata': dict({ 'anyOf': list([ @@ -1621,6 +1637,7 @@ 'const': 'AIMessageChunk', 'default': 'AIMessageChunk', 'title': 'Type', + 'type': 'string', }), 'usage_metadata': dict({ 'anyOf': list([ @@ -1705,6 +1722,7 @@ 'const': 'chat', 'default': 'chat', 'title': 'Type', + 'type': 'string', }), }), 'required': list([ @@ -1779,6 +1797,7 @@ 'const': 'ChatMessageChunk', 'default': 'ChatMessageChunk', 'title': 'Type', + 'type': 'string', }), }), 'required': list([ @@ -1850,6 +1869,7 @@ 'const': 'function', 'default': 'function', 'title': 'Type', + 'type': 'string', }), }), 'required': list([ @@ -1912,6 +1932,7 @@ 'const': 'FunctionMessageChunk', 'default': 'FunctionMessageChunk', 'title': 'Type', + 'type': 'string', }), }), 'required': list([ @@ -2010,6 +2031,7 @@ 'const': 'human', 'default': 'human', 'title': 'Type', + 'type': 'string', }), }), 'required': list([ @@ -2084,6 +2106,7 @@ 'const': 'HumanMessageChunk', 'default': 'HumanMessageChunk', 'title': 'Type', + 'type': 'string', }), }), 'required': list([ @@ -2182,6 +2205,7 @@ 'type': dict({ 'const': 'invalid_tool_call', 'title': 'Type', + 'type': 'string', }), }), 'required': list([ @@ -2307,6 +2331,7 @@ 'const': 'system', 'default': 'system', 'title': 'Type', + 'type': 'string', }), }), 'required': list([ @@ -2376,6 +2401,7 @@ 'const': 'SystemMessageChunk', 'default': 'SystemMessageChunk', 'title': 'Type', + 'type': 'string', }), }), 'required': list([ @@ -2424,6 +2450,7 @@ 'type': dict({ 'const': 'tool_call', 'title': 'Type', + 'type': 'string', }), }), 'required': list([ @@ -2502,6 +2529,7 @@ 'type': dict({ 'const': 'tool_call_chunk', 'title': 'Type', + 'type': 'string', }), }), 'required': list([ @@ -2624,6 +2652,7 @@ 'const': 'tool', 'default': 'tool', 'title': 'Type', + 'type': 'string', }), }), 'required': list([ @@ -2705,6 +2734,7 @@ 'const': 'ToolMessageChunk', 'default': 'ToolMessageChunk', 'title': 'Type', + 'type': 'string', }), }), 'required': list([ diff --git a/libs/core/tests/unit_tests/prompts/test_chat.py b/libs/core/tests/unit_tests/prompts/test_chat.py index 8038281b58d2a..6249aa6f47893 100644 --- a/libs/core/tests/unit_tests/prompts/test_chat.py +++ b/libs/core/tests/unit_tests/prompts/test_chat.py @@ -33,6 +33,7 @@ _convert_to_message, ) from langchain_core.prompts.string import PromptTemplateFormat +from langchain_core.utils.pydantic import PYDANTIC_MAJOR_VERSION, PYDANTIC_MINOR_VERSION from tests.unit_tests.pydantic_utils import _normalize_schema @@ -852,18 +853,22 @@ def test_chat_input_schema(snapshot: SnapshotAssertion) -> None: assert prompt_all_required.optional_variables == [] with pytest.raises(ValidationError): prompt_all_required.input_schema(input="") - assert _normalize_schema(prompt_all_required.get_input_jsonschema()) == snapshot( - name="required" - ) + + if (PYDANTIC_MAJOR_VERSION, PYDANTIC_MINOR_VERSION) >= (2, 10): + assert _normalize_schema( + prompt_all_required.get_input_jsonschema() + ) == snapshot(name="required") prompt_optional = ChatPromptTemplate( messages=[MessagesPlaceholder("history", optional=True), ("user", "${input}")] ) # input variables only lists required variables assert set(prompt_optional.input_variables) == {"input"} prompt_optional.input_schema(input="") # won't raise error - assert _normalize_schema(prompt_optional.get_input_jsonschema()) == snapshot( - name="partial" - ) + + if (PYDANTIC_MAJOR_VERSION, PYDANTIC_MINOR_VERSION) >= (2, 10): + assert _normalize_schema(prompt_optional.get_input_jsonschema()) == snapshot( + name="partial" + ) def test_chat_prompt_w_msgs_placeholder_ser_des(snapshot: SnapshotAssertion) -> None: From 557f85d7fdc2c0abbf56fc7ba8f955ae024472f8 Mon Sep 17 00:00:00 2001 From: Eugene Yurtsev Date: Fri, 22 Nov 2024 16:21:07 -0500 Subject: [PATCH 03/18] x --- .../runnables/__snapshots__/test_graph.ambr | 15 +++++++++++++++ .../core/tests/unit_tests/runnables/test_graph.py | 14 ++++++++++---- 2 files changed, 25 insertions(+), 4 deletions(-) diff --git a/libs/core/tests/unit_tests/runnables/__snapshots__/test_graph.ambr b/libs/core/tests/unit_tests/runnables/__snapshots__/test_graph.ambr index 208bdbac45e7f..5a3b7126d9937 100644 --- a/libs/core/tests/unit_tests/runnables/__snapshots__/test_graph.ambr +++ b/libs/core/tests/unit_tests/runnables/__snapshots__/test_graph.ambr @@ -468,6 +468,7 @@ 'const': 'ai', 'default': 'ai', 'title': 'Type', + 'type': 'string', }), 'usage_metadata': dict({ 'anyOf': list([ @@ -580,6 +581,7 @@ 'const': 'AIMessageChunk', 'default': 'AIMessageChunk', 'title': 'Type', + 'type': 'string', }), 'usage_metadata': dict({ 'anyOf': list([ @@ -664,6 +666,7 @@ 'const': 'chat', 'default': 'chat', 'title': 'Type', + 'type': 'string', }), }), 'required': list([ @@ -738,6 +741,7 @@ 'const': 'ChatMessageChunk', 'default': 'ChatMessageChunk', 'title': 'Type', + 'type': 'string', }), }), 'required': list([ @@ -809,6 +813,7 @@ 'const': 'function', 'default': 'function', 'title': 'Type', + 'type': 'string', }), }), 'required': list([ @@ -871,6 +876,7 @@ 'const': 'FunctionMessageChunk', 'default': 'FunctionMessageChunk', 'title': 'Type', + 'type': 'string', }), }), 'required': list([ @@ -969,6 +975,7 @@ 'const': 'human', 'default': 'human', 'title': 'Type', + 'type': 'string', }), }), 'required': list([ @@ -1043,6 +1050,7 @@ 'const': 'HumanMessageChunk', 'default': 'HumanMessageChunk', 'title': 'Type', + 'type': 'string', }), }), 'required': list([ @@ -1141,6 +1149,7 @@ 'type': dict({ 'const': 'invalid_tool_call', 'title': 'Type', + 'type': 'string', }), }), 'required': list([ @@ -1266,6 +1275,7 @@ 'const': 'system', 'default': 'system', 'title': 'Type', + 'type': 'string', }), }), 'required': list([ @@ -1335,6 +1345,7 @@ 'const': 'SystemMessageChunk', 'default': 'SystemMessageChunk', 'title': 'Type', + 'type': 'string', }), }), 'required': list([ @@ -1383,6 +1394,7 @@ 'type': dict({ 'const': 'tool_call', 'title': 'Type', + 'type': 'string', }), }), 'required': list([ @@ -1461,6 +1473,7 @@ 'type': dict({ 'const': 'tool_call_chunk', 'title': 'Type', + 'type': 'string', }), }), 'required': list([ @@ -1583,6 +1596,7 @@ 'const': 'tool', 'default': 'tool', 'title': 'Type', + 'type': 'string', }), }), 'required': list([ @@ -1664,6 +1678,7 @@ 'const': 'ToolMessageChunk', 'default': 'ToolMessageChunk', 'title': 'Type', + 'type': 'string', }), }), 'required': list([ diff --git a/libs/core/tests/unit_tests/runnables/test_graph.py b/libs/core/tests/unit_tests/runnables/test_graph.py index 39f2f2871a800..789875db62362 100644 --- a/libs/core/tests/unit_tests/runnables/test_graph.py +++ b/libs/core/tests/unit_tests/runnables/test_graph.py @@ -12,6 +12,7 @@ from langchain_core.runnables.base import Runnable, RunnableConfig from langchain_core.runnables.graph import Edge, Graph, Node from langchain_core.runnables.graph_mermaid import _escape_node_label +from langchain_core.utils.pydantic import PYDANTIC_MAJOR_VERSION, PYDANTIC_MINOR_VERSION from tests.unit_tests.pydantic_utils import _normalize_schema @@ -210,10 +211,15 @@ def conditional_str_parser(input: str) -> Runnable: } ) graph = sequence.get_graph() - assert _normalize_schema(graph.to_json(with_schemas=True)) == snapshot( - name="graph_with_schema" - ) - assert _normalize_schema(graph.to_json()) == snapshot(name="graph_no_schemas") + + if (PYDANTIC_MAJOR_VERSION, PYDANTIC_MINOR_VERSION) >= (2, 10): + assert _normalize_schema(graph.to_json(with_schemas=True)) == snapshot( + name="graph_with_schema" + ) + + if (PYDANTIC_MAJOR_VERSION, PYDANTIC_MINOR_VERSION) >= (2, 10): + assert _normalize_schema(graph.to_json()) == snapshot(name="graph_no_schemas") + assert graph.draw_ascii() == snapshot(name="ascii") assert graph.draw_mermaid() == snapshot(name="mermaid") assert graph.draw_mermaid(with_styles=False) == snapshot(name="mermaid-simple") From 7ea38acf2dc237104f7a576fed9f392e22049991 Mon Sep 17 00:00:00 2001 From: Eugene Yurtsev Date: Fri, 22 Nov 2024 16:24:12 -0500 Subject: [PATCH 04/18] x --- libs/core/tests/unit_tests/runnables/test_runnable.py | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/libs/core/tests/unit_tests/runnables/test_runnable.py b/libs/core/tests/unit_tests/runnables/test_runnable.py index d1f67a6c8d9ef..8e34c7873e4d1 100644 --- a/libs/core/tests/unit_tests/runnables/test_runnable.py +++ b/libs/core/tests/unit_tests/runnables/test_runnable.py @@ -87,6 +87,7 @@ RunLogPatch, ) from langchain_core.tracers.context import collect_runs +from langchain_core.utils.pydantic import PYDANTIC_MAJOR_VERSION, PYDANTIC_MINOR_VERSION from tests.unit_tests.pydantic_utils import _normalize_schema, _schema from tests.unit_tests.stubs import AnyStr, _any_id_ai_message, _any_id_ai_message_chunk @@ -223,6 +224,13 @@ async def _aget_relevant_documents( return [Document(page_content="foo"), Document(page_content="bar")] +@pytest.mark.skipif( + (PYDANTIC_MAJOR_VERSION, PYDANTIC_MINOR_VERSION) >= (2, 10), + reason=( + "Only test with most recent version of pydantic. " + "Pydantic introduced small fixes to generated JSONSchema on minor versions." + ), +) def test_schemas(snapshot: SnapshotAssertion) -> None: fake = FakeRunnable() # str -> int From c0c6d61fa51440b5f851f76f87e52ab4d0ec8b34 Mon Sep 17 00:00:00 2001 From: Eugene Yurtsev Date: Fri, 22 Nov 2024 16:25:22 -0500 Subject: [PATCH 05/18] x --- libs/langchain/langchain/memory/summary.py | 4 - libs/langchain/poetry.lock | 253 ++++++++------------- 2 files changed, 99 insertions(+), 158 deletions(-) diff --git a/libs/langchain/langchain/memory/summary.py b/libs/langchain/langchain/memory/summary.py index 6d8d60e33d95e..64c843579befc 100644 --- a/libs/langchain/langchain/memory/summary.py +++ b/libs/langchain/langchain/memory/summary.py @@ -1,8 +1,6 @@ from __future__ import annotations from typing import Any, Dict, List, Type -from langchain_core.caches import BaseCache -from langchain_core.callbacks import Callbacks from langchain_core._api import deprecated from langchain_core.chat_history import BaseChatMessageHistory @@ -133,5 +131,3 @@ def clear(self) -> None: """Clear memory contents.""" super().clear() self.buffer = "" - -ConversationSummaryMemory.model_rebuild() \ No newline at end of file diff --git a/libs/langchain/poetry.lock b/libs/langchain/poetry.lock index 617be20d8352e..7ee448147cd35 100644 --- a/libs/langchain/poetry.lock +++ b/libs/langchain/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. 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changed, 7 insertions(+), 4 deletions(-) diff --git a/libs/core/langchain_core/runnables/base.py b/libs/core/langchain_core/runnables/base.py index 9f9a77bc70515..edd9142d191cd 100644 --- a/libs/core/langchain_core/runnables/base.py +++ b/libs/core/langchain_core/runnables/base.py @@ -5217,7 +5217,7 @@ class RunnableBindingBase(RunnableSerializable[Input, Output]): kwargs. """ - config: RunnableConfig = Field(default_factory=dict) + config: RunnableConfig = Field(default_factory=RunnableConfig) """The config to bind to the underlying Runnable.""" config_factories: list[Callable[[RunnableConfig], RunnableConfig]] = Field( diff --git a/libs/core/langchain_core/utils/pydantic.py b/libs/core/langchain_core/utils/pydantic.py index d3a9e6675e78d..0b87e2dcf85b2 100644 --- a/libs/core/langchain_core/utils/pydantic.py +++ b/libs/core/langchain_core/utils/pydantic.py @@ -211,7 +211,7 @@ def wrapper(cls: type[BaseModel], values: dict[str, Any]) -> dict[str, Any]: name not in values or values[name] is None ) and not field_info.is_required(): if field_info.default_factory is not None: - values[name] = field_info.default_factory() + values[name] = field_info.default_factory() # type: ignore else: values[name] = field_info.default diff --git a/libs/core/tests/unit_tests/runnables/__snapshots__/test_runnable.ambr b/libs/core/tests/unit_tests/runnables/__snapshots__/test_runnable.ambr index 38a99073107d6..cadfa74d9af03 100644 --- a/libs/core/tests/unit_tests/runnables/__snapshots__/test_runnable.ambr +++ b/libs/core/tests/unit_tests/runnables/__snapshots__/test_runnable.ambr @@ -14047,7 +14047,8 @@ "stop": [ "Thought:" ] - } + }, + "config": {} }, "name": "FakeListChatModel" }, diff --git a/libs/core/tests/unit_tests/runnables/test_runnable.py b/libs/core/tests/unit_tests/runnables/test_runnable.py index 8e34c7873e4d1..828f4cafcabf9 100644 --- a/libs/core/tests/unit_tests/runnables/test_runnable.py +++ b/libs/core/tests/unit_tests/runnables/test_runnable.py @@ -2949,7 +2949,9 @@ def test_seq_prompt_map(mocker: MockerFixture, snapshot: SnapshotAssertion) -> N assert chain.first == prompt assert chain.middle == [RunnableLambda(passthrough)] assert isinstance(chain.last, RunnableParallel) - assert dumps(chain, pretty=True) == snapshot + + if (PYDANTIC_MAJOR_VERSION, PYDANTIC_MINOR_VERSION) >= (2, 10): + assert dumps(chain, pretty=True) == snapshot # Test invoke prompt_spy = mocker.spy(prompt.__class__, "invoke") From fd7860e5082ab82a8ab79efb6c3b1ad429d65146 Mon Sep 17 00:00:00 2001 From: Eugene Yurtsev Date: Fri, 22 Nov 2024 16:35:04 -0500 Subject: [PATCH 07/18] x --- libs/core/langchain_core/runnables/base.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/libs/core/langchain_core/runnables/base.py b/libs/core/langchain_core/runnables/base.py index edd9142d191cd..12fa390184bd6 100644 --- a/libs/core/langchain_core/runnables/base.py +++ b/libs/core/langchain_core/runnables/base.py @@ -5217,7 +5217,7 @@ class RunnableBindingBase(RunnableSerializable[Input, Output]): kwargs. """ - config: RunnableConfig = Field(default_factory=RunnableConfig) + config: RunnableConfig = Field(default_factory=dict) # type: ignore """The config to bind to the underlying Runnable.""" config_factories: list[Callable[[RunnableConfig], RunnableConfig]] = Field( From 8511241b87a033f83cb9e8a9864846fb54d81c95 Mon Sep 17 00:00:00 2001 From: Eugene Yurtsev Date: Fri, 22 Nov 2024 16:37:06 -0500 Subject: [PATCH 08/18] x --- libs/core/langchain_core/runnables/base.py | 2 +- .../runnables/__snapshots__/test_runnable.ambr | 18 +++++++++--------- 2 files changed, 10 insertions(+), 10 deletions(-) diff --git a/libs/core/langchain_core/runnables/base.py b/libs/core/langchain_core/runnables/base.py index 12fa390184bd6..e6a61fdfc77e8 100644 --- a/libs/core/langchain_core/runnables/base.py +++ b/libs/core/langchain_core/runnables/base.py @@ -5217,7 +5217,7 @@ class RunnableBindingBase(RunnableSerializable[Input, Output]): kwargs. """ - config: RunnableConfig = Field(default_factory=dict) # type: ignore + config: RunnableConfig = Field(default_factory=RunnableConfig) # type: ignore """The config to bind to the underlying Runnable.""" config_factories: list[Callable[[RunnableConfig], RunnableConfig]] = Field( diff --git a/libs/core/tests/unit_tests/runnables/__snapshots__/test_runnable.ambr b/libs/core/tests/unit_tests/runnables/__snapshots__/test_runnable.ambr index cadfa74d9af03..032cc3726a0d0 100644 --- a/libs/core/tests/unit_tests/runnables/__snapshots__/test_runnable.ambr +++ b/libs/core/tests/unit_tests/runnables/__snapshots__/test_runnable.ambr @@ -480,7 +480,7 @@ # --- # name: test_combining_sequences.3 list([ - RunTree(id=00000000-0000-4000-8000-000000000000, name='RunnableSequence', run_type='chain', dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000'), + RunTree(id=UUID('00000000-0000-4000-8000-000000000000'), name='RunnableSequence', start_time=FakeDatetime(2023, 1, 1, 0, 0, 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serialized={'lc': 1, 'type': 'not_implemented', 'id': ['langchain_core', 'language_models', 'fake_chat_models', 'FakeListChatModel'], 'repr': "FakeListChatModel(responses=['foo, bar'])", 'name': 'FakeListChatModel'}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'prompts': ['System: You are a nice assistant.\nHuman: What is your name?']}, outputs={'generations': [[{'text': 'foo, bar', 'generation_info': None, 'type': 'ChatGeneration', 'message': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'schema', 'messages', 'AIMessage'], 'kwargs': {'content': 'foo, bar', 'type': 'ai', 'id': 'run-00000000-0000-4000-8000-000000000002-0', 'tool_calls': [], 'invalid_tool_calls': []}}}]], 'llm_output': None, 'run': None, 'type': 'LLMResult'}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=['seq:step:2'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000.20230101T000000000000Z00000000-0000-4000-8000-000000000002', trace_id=UUID('00000000-0000-4000-8000-000000000000')), RunTree(id=UUID('00000000-0000-4000-8000-000000000003'), name='CommaSeparatedListOutputParser', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='parser', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized=None, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'input': AIMessage(content='foo, bar', additional_kwargs={}, response_metadata={}, id='00000000-0000-4000-8000-000000000004')}, outputs={'output': ['foo', 'bar']}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=['seq:step:3'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000.20230101T000000000000Z00000000-0000-4000-8000-000000000003', trace_id=UUID('00000000-0000-4000-8000-000000000000')), RunTree(id=UUID('00000000-0000-4000-8000-000000000005'), name='RunnableLambda', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='chain', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized=None, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'input': ['foo', 'bar']}, outputs={'question': 'foobar'}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=['seq:step:4'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000.20230101T000000000000Z00000000-0000-4000-8000-000000000005', trace_id=UUID('00000000-0000-4000-8000-000000000000')), RunTree(id=UUID('00000000-0000-4000-8000-000000000006'), name='ChatPromptTemplate', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='prompt', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized={'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'ChatPromptTemplate'], 'kwargs': {'input_variables': ['question'], 'messages': [{'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'SystemMessagePromptTemplate'], 'kwargs': {'prompt': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'prompt', 'PromptTemplate'], 'kwargs': {'input_variables': [], 'template': 'You are a nicer assistant.', 'template_format': 'f-string'}, 'name': 'PromptTemplate'}}}, {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'HumanMessagePromptTemplate'], 'kwargs': {'prompt': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'prompt', 'PromptTemplate'], 'kwargs': {'input_variables': ['question'], 'template': '{question}', 'template_format': 'f-string'}, 'name': 'PromptTemplate'}}}]}, 'name': 'ChatPromptTemplate'}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'question': 'foobar'}, outputs={'output': ChatPromptValue(messages=[SystemMessage(content='You are a nicer assistant.', additional_kwargs={}, response_metadata={}), HumanMessage(content='foobar', additional_kwargs={}, response_metadata={})])}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=['seq:step:5'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000.20230101T000000000000Z00000000-0000-4000-8000-000000000006', trace_id=UUID('00000000-0000-4000-8000-000000000000')), RunTree(id=UUID('00000000-0000-4000-8000-000000000007'), name='FakeListChatModel', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='llm', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={'invocation_params': {'responses': ['baz, qux'], '_type': 'fake-list-chat-model', 'stop': None}, 'options': {'stop': None}, 'batch_size': 1, 'metadata': {'ls_provider': 'fakelistchatmodel', 'ls_model_type': 'chat'}}, error=None, serialized={'lc': 1, 'type': 'not_implemented', 'id': ['langchain_core', 'language_models', 'fake_chat_models', 'FakeListChatModel'], 'repr': "FakeListChatModel(responses=['baz, qux'])", 'name': 'FakeListChatModel'}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'prompts': ['System: You are a nicer assistant.\nHuman: foobar']}, outputs={'generations': [[{'text': 'baz, qux', 'generation_info': None, 'type': 'ChatGeneration', 'message': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'schema', 'messages', 'AIMessage'], 'kwargs': {'content': 'baz, qux', 'type': 'ai', 'id': 'run-00000000-0000-4000-8000-000000000006-0', 'tool_calls': [], 'invalid_tool_calls': []}}}]], 'llm_output': None, 'run': None, 'type': 'LLMResult'}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=['seq:step:6'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000.20230101T000000000000Z00000000-0000-4000-8000-000000000007', trace_id=UUID('00000000-0000-4000-8000-000000000000')), RunTree(id=UUID('00000000-0000-4000-8000-000000000008'), name='CommaSeparatedListOutputParser', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='parser', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized=None, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'input': AIMessage(content='baz, qux', additional_kwargs={}, response_metadata={}, id='00000000-0000-4000-8000-000000000009')}, outputs={'output': ['baz', 'qux']}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=['seq:step:7'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000.20230101T000000000000Z00000000-0000-4000-8000-000000000008', trace_id=UUID('00000000-0000-4000-8000-000000000000'))], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000', trace_id=UUID('00000000-0000-4000-8000-000000000000')), ]) # --- # name: test_configurable_fields[schema2] @@ -1119,7 +1119,7 @@ # --- # name: test_prompt_with_chat_model.2 list([ - RunTree(id=00000000-0000-4000-8000-000000000000, name='RunnableSequence', run_type='chain', dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000'), + RunTree(id=UUID('00000000-0000-4000-8000-000000000000'), name='RunnableSequence', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='chain', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized=None, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'question': 'What is your name?'}, outputs={'output': AIMessage(content='foo', additional_kwargs={}, response_metadata={}, id='00000000-0000-4000-8000-000000000003')}, reference_example_id=None, parent_run_id=None, tags=[], attachments={}, child_runs=[RunTree(id=UUID('00000000-0000-4000-8000-000000000001'), name='ChatPromptTemplate', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='prompt', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized={'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'ChatPromptTemplate'], 'kwargs': {'input_variables': ['question'], 'messages': [{'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'SystemMessagePromptTemplate'], 'kwargs': {'prompt': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'prompt', 'PromptTemplate'], 'kwargs': {'input_variables': [], 'template': 'You are a nice assistant.', 'template_format': 'f-string'}, 'name': 'PromptTemplate'}}}, {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'HumanMessagePromptTemplate'], 'kwargs': {'prompt': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'prompt', 'PromptTemplate'], 'kwargs': {'input_variables': ['question'], 'template': '{question}', 'template_format': 'f-string'}, 'name': 'PromptTemplate'}}}]}, 'name': 'ChatPromptTemplate'}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'question': 'What is your name?'}, outputs={'output': ChatPromptValue(messages=[SystemMessage(content='You are a nice assistant.', additional_kwargs={}, response_metadata={}), HumanMessage(content='What is your name?', additional_kwargs={}, response_metadata={})])}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=['seq:step:1'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000.20230101T000000000000Z00000000-0000-4000-8000-000000000001', trace_id=UUID('00000000-0000-4000-8000-000000000000')), RunTree(id=UUID('00000000-0000-4000-8000-000000000002'), name='FakeListChatModel', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='llm', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={'invocation_params': {'responses': ['foo'], '_type': 'fake-list-chat-model', 'stop': None}, 'options': {'stop': None}, 'batch_size': 1, 'metadata': {'ls_provider': 'fakelistchatmodel', 'ls_model_type': 'chat'}}, error=None, serialized={'lc': 1, 'type': 'not_implemented', 'id': ['langchain_core', 'language_models', 'fake_chat_models', 'FakeListChatModel'], 'repr': "FakeListChatModel(responses=['foo'])", 'name': 'FakeListChatModel'}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'prompts': ['System: You are a nice assistant.\nHuman: What is your name?']}, outputs={'generations': [[{'text': 'foo', 'generation_info': None, 'type': 'ChatGeneration', 'message': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'schema', 'messages', 'AIMessage'], 'kwargs': {'content': 'foo', 'type': 'ai', 'id': 'run-00000000-0000-4000-8000-000000000002-0', 'tool_calls': [], 'invalid_tool_calls': []}}}]], 'llm_output': None, 'run': None, 'type': 'LLMResult'}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=['seq:step:2'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000.20230101T000000000000Z00000000-0000-4000-8000-000000000002', trace_id=UUID('00000000-0000-4000-8000-000000000000'))], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000', trace_id=UUID('00000000-0000-4000-8000-000000000000')), ]) # --- # name: test_prompt_with_chat_model_and_parser @@ -1243,7 +1243,7 @@ # --- # name: test_prompt_with_chat_model_and_parser.1 list([ - RunTree(id=00000000-0000-4000-8000-000000000000, name='RunnableSequence', run_type='chain', dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000'), + RunTree(id=UUID('00000000-0000-4000-8000-000000000000'), name='RunnableSequence', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='chain', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized=None, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'question': 'What is your name?'}, outputs={'output': ['foo', 'bar']}, reference_example_id=None, parent_run_id=None, tags=[], attachments={}, child_runs=[RunTree(id=UUID('00000000-0000-4000-8000-000000000001'), name='ChatPromptTemplate', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='prompt', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized={'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'ChatPromptTemplate'], 'kwargs': {'input_variables': ['question'], 'messages': [{'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'SystemMessagePromptTemplate'], 'kwargs': {'prompt': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'prompt', 'PromptTemplate'], 'kwargs': {'input_variables': [], 'template': 'You are a nice assistant.', 'template_format': 'f-string'}, 'name': 'PromptTemplate'}}}, {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'HumanMessagePromptTemplate'], 'kwargs': {'prompt': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'prompt', 'PromptTemplate'], 'kwargs': {'input_variables': ['question'], 'template': '{question}', 'template_format': 'f-string'}, 'name': 'PromptTemplate'}}}]}, 'name': 'ChatPromptTemplate'}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'question': 'What is your name?'}, outputs={'output': ChatPromptValue(messages=[SystemMessage(content='You are a nice assistant.', additional_kwargs={}, response_metadata={}), HumanMessage(content='What is your name?', additional_kwargs={}, response_metadata={})])}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=['seq:step:1'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000.20230101T000000000000Z00000000-0000-4000-8000-000000000001', trace_id=UUID('00000000-0000-4000-8000-000000000000')), RunTree(id=UUID('00000000-0000-4000-8000-000000000002'), name='FakeListChatModel', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='llm', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={'invocation_params': {'responses': ['foo, bar'], '_type': 'fake-list-chat-model', 'stop': None}, 'options': {'stop': None}, 'batch_size': 1, 'metadata': {'ls_provider': 'fakelistchatmodel', 'ls_model_type': 'chat'}}, error=None, serialized={'lc': 1, 'type': 'not_implemented', 'id': ['langchain_core', 'language_models', 'fake_chat_models', 'FakeListChatModel'], 'repr': "FakeListChatModel(responses=['foo, bar'])", 'name': 'FakeListChatModel'}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'prompts': ['System: You are a nice assistant.\nHuman: What is your name?']}, outputs={'generations': [[{'text': 'foo, bar', 'generation_info': None, 'type': 'ChatGeneration', 'message': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'schema', 'messages', 'AIMessage'], 'kwargs': {'content': 'foo, bar', 'type': 'ai', 'id': 'run-00000000-0000-4000-8000-000000000002-0', 'tool_calls': [], 'invalid_tool_calls': []}}}]], 'llm_output': None, 'run': None, 'type': 'LLMResult'}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=['seq:step:2'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000.20230101T000000000000Z00000000-0000-4000-8000-000000000002', trace_id=UUID('00000000-0000-4000-8000-000000000000')), RunTree(id=UUID('00000000-0000-4000-8000-000000000003'), name='CommaSeparatedListOutputParser', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='parser', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized=None, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'input': AIMessage(content='foo, bar', additional_kwargs={}, response_metadata={}, id='00000000-0000-4000-8000-000000000004')}, outputs={'output': ['foo', 'bar']}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=['seq:step:3'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000.20230101T000000000000Z00000000-0000-4000-8000-000000000003', trace_id=UUID('00000000-0000-4000-8000-000000000000'))], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000', trace_id=UUID('00000000-0000-4000-8000-000000000000')), ]) # --- # name: test_prompt_with_chat_model_async @@ -1359,7 +1359,7 @@ # --- # name: test_prompt_with_chat_model_async.2 list([ - RunTree(id=00000000-0000-4000-8000-000000000000, name='RunnableSequence', run_type='chain', dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000'), + RunTree(id=UUID('00000000-0000-4000-8000-000000000000'), name='RunnableSequence', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='chain', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized=None, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'question': 'What is your name?'}, outputs={'output': AIMessage(content='foo', additional_kwargs={}, response_metadata={}, id='00000000-0000-4000-8000-000000000003')}, reference_example_id=None, parent_run_id=None, tags=[], attachments={}, child_runs=[RunTree(id=UUID('00000000-0000-4000-8000-000000000001'), name='ChatPromptTemplate', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='prompt', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized={'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'ChatPromptTemplate'], 'kwargs': {'input_variables': ['question'], 'messages': [{'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'SystemMessagePromptTemplate'], 'kwargs': {'prompt': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'prompt', 'PromptTemplate'], 'kwargs': {'input_variables': [], 'template': 'You are a nice assistant.', 'template_format': 'f-string'}, 'name': 'PromptTemplate'}}}, {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'HumanMessagePromptTemplate'], 'kwargs': {'prompt': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'prompt', 'PromptTemplate'], 'kwargs': {'input_variables': ['question'], 'template': '{question}', 'template_format': 'f-string'}, 'name': 'PromptTemplate'}}}]}, 'name': 'ChatPromptTemplate'}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'question': 'What is your name?'}, outputs={'output': ChatPromptValue(messages=[SystemMessage(content='You are a nice assistant.', additional_kwargs={}, response_metadata={}), HumanMessage(content='What is your name?', additional_kwargs={}, response_metadata={})])}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=['seq:step:1'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000.20230101T000000000000Z00000000-0000-4000-8000-000000000001', trace_id=UUID('00000000-0000-4000-8000-000000000000')), RunTree(id=UUID('00000000-0000-4000-8000-000000000002'), name='FakeListChatModel', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='llm', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={'invocation_params': {'responses': ['foo'], '_type': 'fake-list-chat-model', 'stop': None}, 'options': {'stop': None}, 'batch_size': 1, 'metadata': {'ls_provider': 'fakelistchatmodel', 'ls_model_type': 'chat'}}, error=None, serialized={'lc': 1, 'type': 'not_implemented', 'id': ['langchain_core', 'language_models', 'fake_chat_models', 'FakeListChatModel'], 'repr': "FakeListChatModel(responses=['foo'])", 'name': 'FakeListChatModel'}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'prompts': ['System: You are a nice assistant.\nHuman: What is your name?']}, outputs={'generations': [[{'text': 'foo', 'generation_info': None, 'type': 'ChatGeneration', 'message': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'schema', 'messages', 'AIMessage'], 'kwargs': {'content': 'foo', 'type': 'ai', 'id': 'run-00000000-0000-4000-8000-000000000002-0', 'tool_calls': [], 'invalid_tool_calls': []}}}]], 'llm_output': None, 'run': None, 'type': 'LLMResult'}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=['seq:step:2'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000.20230101T000000000000Z00000000-0000-4000-8000-000000000002', trace_id=UUID('00000000-0000-4000-8000-000000000000'))], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000', trace_id=UUID('00000000-0000-4000-8000-000000000000')), ]) # --- # name: test_prompt_with_llm @@ -1469,13 +1469,13 @@ # --- # name: test_prompt_with_llm.1 list([ - RunTree(id=00000000-0000-4000-8000-000000000000, name='RunnableSequence', run_type='chain', dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000'), + RunTree(id=UUID('00000000-0000-4000-8000-000000000000'), name='RunnableSequence', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='chain', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized=None, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'question': 'What is your name?'}, outputs={'output': 'foo'}, reference_example_id=None, parent_run_id=None, tags=[], attachments={}, child_runs=[RunTree(id=UUID('00000000-0000-4000-8000-000000000001'), name='ChatPromptTemplate', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='prompt', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized={'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'ChatPromptTemplate'], 'kwargs': {'input_variables': ['question'], 'messages': [{'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'SystemMessagePromptTemplate'], 'kwargs': {'prompt': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'prompt', 'PromptTemplate'], 'kwargs': {'input_variables': [], 'template': 'You are a nice assistant.', 'template_format': 'f-string'}, 'name': 'PromptTemplate'}}}, {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'HumanMessagePromptTemplate'], 'kwargs': {'prompt': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'prompt', 'PromptTemplate'], 'kwargs': {'input_variables': ['question'], 'template': '{question}', 'template_format': 'f-string'}, 'name': 'PromptTemplate'}}}]}, 'name': 'ChatPromptTemplate'}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'question': 'What is your name?'}, outputs={'output': ChatPromptValue(messages=[SystemMessage(content='You are a nice assistant.', additional_kwargs={}, response_metadata={}), HumanMessage(content='What is your name?', additional_kwargs={}, response_metadata={})])}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=['seq:step:1'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000.20230101T000000000000Z00000000-0000-4000-8000-000000000001', trace_id=UUID('00000000-0000-4000-8000-000000000000')), RunTree(id=UUID('00000000-0000-4000-8000-000000000002'), name='FakeListLLM', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='llm', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={'invocation_params': {'responses': ['foo', 'bar'], '_type': 'fake-list', 'stop': None}, 'options': {'stop': None}, 'batch_size': 1, 'metadata': {'ls_provider': 'fakelist', 'ls_model_type': 'llm'}}, error=None, serialized={'lc': 1, 'type': 'not_implemented', 'id': ['langchain_core', 'language_models', 'fake', 'FakeListLLM'], 'repr': "FakeListLLM(responses=['foo', 'bar'])", 'name': 'FakeListLLM'}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'prompts': ['System: You are a nice assistant.\nHuman: What is your name?']}, outputs={'generations': [[{'text': 'foo', 'generation_info': None, 'type': 'Generation'}]], 'llm_output': None, 'run': None, 'type': 'LLMResult'}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=['seq:step:2'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000.20230101T000000000000Z00000000-0000-4000-8000-000000000002', trace_id=UUID('00000000-0000-4000-8000-000000000000'))], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000', trace_id=UUID('00000000-0000-4000-8000-000000000000')), ]) # --- # name: test_prompt_with_llm.2 list([ - RunTree(id=00000000-0000-4000-8000-000000000000, name='RunnableSequence', run_type='chain', dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000'), - RunTree(id=00000000-0000-4000-8000-000000000003, name='RunnableSequence', run_type='chain', dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000003'), + RunTree(id=UUID('00000000-0000-4000-8000-000000000000'), name='RunnableSequence', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='chain', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized=None, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'question': 'What is your name?'}, outputs={'output': 'bar'}, reference_example_id=None, parent_run_id=None, tags=[], attachments={}, child_runs=[RunTree(id=UUID('00000000-0000-4000-8000-000000000001'), name='ChatPromptTemplate', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='prompt', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized={'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'ChatPromptTemplate'], 'kwargs': {'input_variables': ['question'], 'messages': [{'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'SystemMessagePromptTemplate'], 'kwargs': {'prompt': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'prompt', 'PromptTemplate'], 'kwargs': {'input_variables': [], 'template': 'You are a nice assistant.', 'template_format': 'f-string'}, 'name': 'PromptTemplate'}}}, {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'HumanMessagePromptTemplate'], 'kwargs': {'prompt': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'prompt', 'PromptTemplate'], 'kwargs': {'input_variables': ['question'], 'template': '{question}', 'template_format': 'f-string'}, 'name': 'PromptTemplate'}}}]}, 'name': 'ChatPromptTemplate'}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'question': 'What is your name?'}, outputs={'output': ChatPromptValue(messages=[SystemMessage(content='You are a nice assistant.', additional_kwargs={}, response_metadata={}), HumanMessage(content='What is your name?', additional_kwargs={}, response_metadata={})])}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=['seq:step:1'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000.20230101T000000000000Z00000000-0000-4000-8000-000000000001', trace_id=UUID('00000000-0000-4000-8000-000000000000')), RunTree(id=UUID('00000000-0000-4000-8000-000000000002'), name='FakeListLLM', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='llm', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={'invocation_params': {'responses': ['foo', 'bar'], '_type': 'fake-list', 'stop': None}, 'options': {'stop': None}, 'batch_size': 2, 'metadata': {'ls_provider': 'fakelist', 'ls_model_type': 'llm'}}, error=None, serialized={'lc': 1, 'type': 'not_implemented', 'id': ['langchain_core', 'language_models', 'fake', 'FakeListLLM'], 'repr': "FakeListLLM(responses=['foo', 'bar'])", 'name': 'FakeListLLM'}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'prompts': ['System: You are a nice assistant.\nHuman: What is your name?']}, outputs={'generations': [[{'text': 'bar', 'generation_info': None, 'type': 'Generation'}]], 'llm_output': None, 'run': None, 'type': 'LLMResult'}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=['seq:step:2'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000.20230101T000000000000Z00000000-0000-4000-8000-000000000002', trace_id=UUID('00000000-0000-4000-8000-000000000000'))], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000', trace_id=UUID('00000000-0000-4000-8000-000000000000')), + RunTree(id=UUID('00000000-0000-4000-8000-000000000003'), name='RunnableSequence', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='chain', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized=None, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'question': 'What is your favorite color?'}, outputs={'output': 'foo'}, reference_example_id=None, parent_run_id=None, tags=[], attachments={}, child_runs=[RunTree(id=UUID('00000000-0000-4000-8000-000000000004'), name='ChatPromptTemplate', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='prompt', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized={'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'ChatPromptTemplate'], 'kwargs': {'input_variables': ['question'], 'messages': [{'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'SystemMessagePromptTemplate'], 'kwargs': {'prompt': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'prompt', 'PromptTemplate'], 'kwargs': {'input_variables': [], 'template': 'You are a nice assistant.', 'template_format': 'f-string'}, 'name': 'PromptTemplate'}}}, {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'HumanMessagePromptTemplate'], 'kwargs': {'prompt': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'prompt', 'PromptTemplate'], 'kwargs': {'input_variables': ['question'], 'template': '{question}', 'template_format': 'f-string'}, 'name': 'PromptTemplate'}}}]}, 'name': 'ChatPromptTemplate'}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'question': 'What is your favorite color?'}, outputs={'output': ChatPromptValue(messages=[SystemMessage(content='You are a nice assistant.', additional_kwargs={}, response_metadata={}), HumanMessage(content='What is your favorite color?', additional_kwargs={}, response_metadata={})])}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000003'), tags=['seq:step:1'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000003.20230101T000000000000Z00000000-0000-4000-8000-000000000004', trace_id=UUID('00000000-0000-4000-8000-000000000003')), RunTree(id=UUID('00000000-0000-4000-8000-000000000005'), name='FakeListLLM', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='llm', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={'invocation_params': {'responses': ['foo', 'bar'], '_type': 'fake-list', 'stop': None}, 'options': {'stop': None}, 'batch_size': 2, 'metadata': {'ls_provider': 'fakelist', 'ls_model_type': 'llm'}}, error=None, serialized={'lc': 1, 'type': 'not_implemented', 'id': ['langchain_core', 'language_models', 'fake', 'FakeListLLM'], 'repr': "FakeListLLM(responses=['foo', 'bar'])", 'name': 'FakeListLLM'}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'prompts': ['System: You are a nice assistant.\nHuman: What is your favorite color?']}, outputs={'generations': [[{'text': 'foo', 'generation_info': None, 'type': 'Generation'}]], 'llm_output': None, 'run': None, 'type': 'LLMResult'}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000003'), tags=['seq:step:2'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000003.20230101T000000000000Z00000000-0000-4000-8000-000000000005', trace_id=UUID('00000000-0000-4000-8000-000000000003'))], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000003', trace_id=UUID('00000000-0000-4000-8000-000000000003')), ]) # --- # name: test_prompt_with_llm_and_async_lambda @@ -1598,7 +1598,7 @@ # --- # name: test_prompt_with_llm_and_async_lambda.1 list([ - RunTree(id=00000000-0000-4000-8000-000000000000, name='RunnableSequence', run_type='chain', dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000'), + RunTree(id=UUID('00000000-0000-4000-8000-000000000000'), name='RunnableSequence', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='chain', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized=None, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'question': 'What is your name?'}, outputs={'output': 'foo'}, reference_example_id=None, parent_run_id=None, tags=[], attachments={}, child_runs=[RunTree(id=UUID('00000000-0000-4000-8000-000000000001'), name='ChatPromptTemplate', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='prompt', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized={'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'ChatPromptTemplate'], 'kwargs': {'input_variables': ['question'], 'messages': [{'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'SystemMessagePromptTemplate'], 'kwargs': {'prompt': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'prompt', 'PromptTemplate'], 'kwargs': {'input_variables': [], 'template': 'You are a nice assistant.', 'template_format': 'f-string'}, 'name': 'PromptTemplate'}}}, {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'HumanMessagePromptTemplate'], 'kwargs': {'prompt': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'prompt', 'PromptTemplate'], 'kwargs': {'input_variables': ['question'], 'template': '{question}', 'template_format': 'f-string'}, 'name': 'PromptTemplate'}}}]}, 'name': 'ChatPromptTemplate'}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'question': 'What is your name?'}, outputs={'output': ChatPromptValue(messages=[SystemMessage(content='You are a nice assistant.', additional_kwargs={}, response_metadata={}), HumanMessage(content='What is your name?', additional_kwargs={}, response_metadata={})])}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=['seq:step:1'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000.20230101T000000000000Z00000000-0000-4000-8000-000000000001', trace_id=UUID('00000000-0000-4000-8000-000000000000')), RunTree(id=UUID('00000000-0000-4000-8000-000000000002'), name='FakeListLLM', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='llm', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={'invocation_params': {'responses': ['foo', 'bar'], '_type': 'fake-list', 'stop': None}, 'options': {'stop': None}, 'batch_size': 1, 'metadata': {'ls_provider': 'fakelist', 'ls_model_type': 'llm'}}, error=None, serialized={'lc': 1, 'type': 'not_implemented', 'id': ['langchain_core', 'language_models', 'fake', 'FakeListLLM'], 'repr': "FakeListLLM(responses=['foo', 'bar'])", 'name': 'FakeListLLM'}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'prompts': ['System: You are a nice assistant.\nHuman: What is your name?']}, outputs={'generations': [[{'text': 'foo', 'generation_info': None, 'type': 'Generation'}]], 'llm_output': None, 'run': None, 'type': 'LLMResult'}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=['seq:step:2'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000.20230101T000000000000Z00000000-0000-4000-8000-000000000002', trace_id=UUID('00000000-0000-4000-8000-000000000000')), RunTree(id=UUID('00000000-0000-4000-8000-000000000003'), name='passthrough', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='chain', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized=None, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'input': 'foo'}, outputs={'output': 'foo'}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=['seq:step:3'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000.20230101T000000000000Z00000000-0000-4000-8000-000000000003', trace_id=UUID('00000000-0000-4000-8000-000000000000'))], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000', trace_id=UUID('00000000-0000-4000-8000-000000000000')), ]) # --- # name: test_prompt_with_llm_parser @@ -1722,7 +1722,7 @@ # --- # name: test_prompt_with_llm_parser.1 list([ - RunTree(id=00000000-0000-4000-8000-000000000000, name='RunnableSequence', run_type='chain', dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000'), + RunTree(id=UUID('00000000-0000-4000-8000-000000000000'), name='RunnableSequence', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='chain', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized=None, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'question': 'What is your name?'}, outputs={'output': ['bear', 'dog', 'cat']}, reference_example_id=None, parent_run_id=None, tags=[], attachments={}, child_runs=[RunTree(id=UUID('00000000-0000-4000-8000-000000000001'), name='ChatPromptTemplate', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='prompt', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized={'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'ChatPromptTemplate'], 'kwargs': {'input_variables': ['question'], 'messages': [{'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'SystemMessagePromptTemplate'], 'kwargs': {'prompt': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'prompt', 'PromptTemplate'], 'kwargs': {'input_variables': [], 'template': 'You are a nice assistant.', 'template_format': 'f-string'}, 'name': 'PromptTemplate'}}}, {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'HumanMessagePromptTemplate'], 'kwargs': {'prompt': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'prompt', 'PromptTemplate'], 'kwargs': {'input_variables': ['question'], 'template': '{question}', 'template_format': 'f-string'}, 'name': 'PromptTemplate'}}}]}, 'name': 'ChatPromptTemplate'}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'question': 'What is your name?'}, outputs={'output': ChatPromptValue(messages=[SystemMessage(content='You are a nice assistant.', additional_kwargs={}, response_metadata={}), HumanMessage(content='What is your name?', additional_kwargs={}, response_metadata={})])}, reference_example_id=None, 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name='CommaSeparatedListOutputParser', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='parser', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized=None, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'input': 'bear, dog, cat'}, outputs={'output': ['bear', 'dog', 'cat']}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=['seq:step:3'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000.20230101T000000000000Z00000000-0000-4000-8000-000000000003', trace_id=UUID('00000000-0000-4000-8000-000000000000'))], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000', trace_id=UUID('00000000-0000-4000-8000-000000000000')), ]) # --- # name: test_router_runnable From 906a0b2972603ba62a07c586abfc976cfda89c29 Mon Sep 17 00:00:00 2001 From: Eugene Yurtsev Date: Fri, 22 Nov 2024 16:45:02 -0500 Subject: [PATCH 09/18] x --- libs/langchain/langchain/memory/summary.py | 5 + .../langchain/langchain/output_parsers/fix.py | 8 +- .../langchain/output_parsers/retry.py | 12 +- libs/langchain/poetry.lock | 253 +++++++++++------- .../unit_tests/output_parsers/test_retry.py | 4 + 5 files changed, 177 insertions(+), 105 deletions(-) diff --git a/libs/langchain/langchain/memory/summary.py b/libs/langchain/langchain/memory/summary.py index 64c843579befc..e4c7806e26675 100644 --- a/libs/langchain/langchain/memory/summary.py +++ b/libs/langchain/langchain/memory/summary.py @@ -3,6 +3,8 @@ from typing import Any, Dict, List, Type from langchain_core._api import deprecated +from langchain_core.caches import BaseCache +from langchain_core.callbacks import Callbacks from langchain_core.chat_history import BaseChatMessageHistory from langchain_core.language_models import BaseLanguageModel from langchain_core.messages import BaseMessage, SystemMessage, get_buffer_string @@ -131,3 +133,6 @@ def clear(self) -> None: """Clear memory contents.""" super().clear() self.buffer = "" + + +ConversationSummaryMemory.model_rebuild() diff --git a/libs/langchain/langchain/output_parsers/fix.py b/libs/langchain/langchain/output_parsers/fix.py index f0a1a701c2334..eef95dfcf3f87 100644 --- a/libs/langchain/langchain/output_parsers/fix.py +++ b/libs/langchain/langchain/output_parsers/fix.py @@ -27,11 +27,13 @@ class OutputFixingParser(BaseOutputParser[T]): def is_lc_serializable(cls) -> bool: return True - parser: Annotated[BaseOutputParser[T], SkipValidation()] + parser: Annotated[Any, SkipValidation()] """The parser to use to parse the output.""" # Should be an LLMChain but we want to avoid top-level imports from langchain.chains - retry_chain: Union[ - RunnableSerializable[OutputFixingParserRetryChainInput, str], Any + retry_chain: Annotated[ + Union[RunnableSerializable[OutputFixingParserRetryChainInput, str], Any], + + SkipValidation(), ] """The RunnableSerializable to use to retry the completion (Legacy: LLMChain).""" max_retries: int = 1 diff --git a/libs/langchain/langchain/output_parsers/retry.py b/libs/langchain/langchain/output_parsers/retry.py index 06e1b410f7291..5f52da2e817d4 100644 --- a/libs/langchain/langchain/output_parsers/retry.py +++ b/libs/langchain/langchain/output_parsers/retry.py @@ -57,7 +57,10 @@ class RetryOutputParser(BaseOutputParser[T]): parser: Annotated[BaseOutputParser[T], SkipValidation()] """The parser to use to parse the output.""" # Should be an LLMChain but we want to avoid top-level imports from langchain.chains - retry_chain: Union[RunnableSerializable[RetryOutputParserRetryChainInput, str], Any] + retry_chain: Annotated[ + Union[RunnableSerializable[RetryOutputParserRetryChainInput, str], Any], + SkipValidation(), + ] """The RunnableSerializable to use to retry the completion (Legacy: LLMChain).""" max_retries: int = 1 """The maximum number of times to retry the parse.""" @@ -187,8 +190,11 @@ class RetryWithErrorOutputParser(BaseOutputParser[T]): parser: Annotated[BaseOutputParser[T], SkipValidation()] """The parser to use to parse the output.""" # Should be an LLMChain but we want to avoid top-level imports from langchain.chains - retry_chain: Union[ - RunnableSerializable[RetryWithErrorOutputParserRetryChainInput, str], Any + retry_chain: Annotated[ + Union[ + RunnableSerializable[RetryWithErrorOutputParserRetryChainInput, str], Any + ], + SkipValidation(), ] """The RunnableSerializable to use to retry the completion (Legacy: LLMChain).""" max_retries: int = 1 diff --git a/libs/langchain/poetry.lock b/libs/langchain/poetry.lock index 7ee448147cd35..617be20d8352e 100644 --- a/libs/langchain/poetry.lock +++ b/libs/langchain/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. 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a/libs/langchain/tests/unit_tests/output_parsers/test_retry.py b/libs/langchain/tests/unit_tests/output_parsers/test_retry.py index 5d4d4124355df..a1bd8a0601bfb 100644 --- a/libs/langchain/tests/unit_tests/output_parsers/test_retry.py +++ b/libs/langchain/tests/unit_tests/output_parsers/test_retry.py @@ -31,6 +31,10 @@ def parse(self, *args: Any, **kwargs: Any) -> str: return "parsed" +def test_foo(): + assert 1 == 1 + + def test_retry_output_parser_parse_with_prompt() -> None: n: int = 5 # Success on the (n+1)-th attempt base_parser = SuccessfulParseAfterRetries(attemp_count_before_success=n) From caaa03c0a628220c05110d12eb5fb8f731a5f366 Mon Sep 17 00:00:00 2001 From: Eugene Yurtsev Date: Fri, 22 Nov 2024 16:45:25 -0500 Subject: [PATCH 10/18] qxqx --- libs/langchain/tests/unit_tests/output_parsers/test_retry.py | 4 ---- 1 file changed, 4 deletions(-) diff --git a/libs/langchain/tests/unit_tests/output_parsers/test_retry.py b/libs/langchain/tests/unit_tests/output_parsers/test_retry.py index a1bd8a0601bfb..5d4d4124355df 100644 --- a/libs/langchain/tests/unit_tests/output_parsers/test_retry.py +++ b/libs/langchain/tests/unit_tests/output_parsers/test_retry.py @@ -31,10 +31,6 @@ def parse(self, *args: Any, **kwargs: Any) -> str: return "parsed" -def test_foo(): - assert 1 == 1 - - def test_retry_output_parser_parse_with_prompt() -> None: n: int = 5 # Success on the (n+1)-th attempt base_parser = SuccessfulParseAfterRetries(attemp_count_before_success=n) From 8dd8b41b6c5723183049fe8c9c01dfb5b85acbe0 Mon Sep 17 00:00:00 2001 From: Eugene Yurtsev Date: Fri, 22 Nov 2024 16:48:07 -0500 Subject: [PATCH 11/18] qx --- libs/langchain/langchain/memory/summary.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/libs/langchain/langchain/memory/summary.py b/libs/langchain/langchain/memory/summary.py index e4c7806e26675..bbbe4293dcd59 100644 --- a/libs/langchain/langchain/memory/summary.py +++ b/libs/langchain/langchain/memory/summary.py @@ -3,8 +3,8 @@ from typing import Any, Dict, List, Type from langchain_core._api import deprecated -from langchain_core.caches import BaseCache -from langchain_core.callbacks import Callbacks +from langchain_core.caches import BaseCache as BaseCache # For model_rebuild +from langchain_core.callbacks import Callbacks as Callbacks # For model_rebuild from langchain_core.chat_history import BaseChatMessageHistory from langchain_core.language_models import BaseLanguageModel from langchain_core.messages import BaseMessage, SystemMessage, get_buffer_string From 464cd320cb3720534e08aefa1138eb1183dad0dd Mon Sep 17 00:00:00 2001 From: Eugene Yurtsev Date: Fri, 22 Nov 2024 16:50:45 -0500 Subject: [PATCH 12/18] lint --- libs/langchain/langchain/memory/summary.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/libs/langchain/langchain/memory/summary.py b/libs/langchain/langchain/memory/summary.py index bbbe4293dcd59..0c07ac6f754e9 100644 --- a/libs/langchain/langchain/memory/summary.py +++ b/libs/langchain/langchain/memory/summary.py @@ -3,8 +3,8 @@ from typing import Any, Dict, List, Type from langchain_core._api import deprecated -from langchain_core.caches import BaseCache as BaseCache # For model_rebuild -from langchain_core.callbacks import Callbacks as Callbacks # For model_rebuild +from langchain_core.caches import BaseCache as BaseCache # For model_rebuild +from langchain_core.callbacks import Callbacks as Callbacks # For model_rebuild from langchain_core.chat_history import BaseChatMessageHistory from langchain_core.language_models import BaseLanguageModel from langchain_core.messages import BaseMessage, SystemMessage, get_buffer_string From 84527fc502f3e8f2fa7c9fb7aa2c29645ec5a9c6 Mon Sep 17 00:00:00 2001 From: Eugene Yurtsev Date: Fri, 22 Nov 2024 16:53:01 -0500 Subject: [PATCH 13/18] another lint --- libs/langchain/langchain/output_parsers/fix.py | 1 - 1 file changed, 1 deletion(-) diff --git a/libs/langchain/langchain/output_parsers/fix.py b/libs/langchain/langchain/output_parsers/fix.py index eef95dfcf3f87..c5c3921a473c3 100644 --- a/libs/langchain/langchain/output_parsers/fix.py +++ b/libs/langchain/langchain/output_parsers/fix.py @@ -32,7 +32,6 @@ def is_lc_serializable(cls) -> bool: # Should be an LLMChain but we want to avoid top-level imports from langchain.chains retry_chain: Annotated[ Union[RunnableSerializable[OutputFixingParserRetryChainInput, str], Any], - SkipValidation(), ] """The RunnableSerializable to use to retry the completion (Legacy: LLMChain).""" From f69acb27aba7873b121bbe0ae9beb6a1e640e2e0 Mon Sep 17 00:00:00 2001 From: Eugene Yurtsev Date: Fri, 22 Nov 2024 21:29:08 -0500 Subject: [PATCH 14/18] x --- libs/core/langchain_core/runnables/base.py | 2 +- libs/core/langchain_core/utils/pydantic.py | 13 +- libs/core/poetry.lock | 206 +++++++++--------- .../prompts/__snapshots__/test_chat.ambr | 30 --- .../tests/unit_tests/prompts/test_chat.py | 17 +- .../runnables/__snapshots__/test_graph.ambr | 15 -- .../__snapshots__/test_runnable.ambr | 21 +- .../tests/unit_tests/runnables/test_graph.py | 14 +- .../unit_tests/runnables/test_runnable.py | 12 +- 9 files changed, 122 insertions(+), 208 deletions(-) diff --git a/libs/core/langchain_core/runnables/base.py b/libs/core/langchain_core/runnables/base.py index e6a61fdfc77e8..9f9a77bc70515 100644 --- a/libs/core/langchain_core/runnables/base.py +++ b/libs/core/langchain_core/runnables/base.py @@ -5217,7 +5217,7 @@ class RunnableBindingBase(RunnableSerializable[Input, Output]): kwargs. """ - config: RunnableConfig = Field(default_factory=RunnableConfig) # type: ignore + config: RunnableConfig = Field(default_factory=dict) """The config to bind to the underlying Runnable.""" config_factories: list[Callable[[RunnableConfig], RunnableConfig]] = Field( diff --git a/libs/core/langchain_core/utils/pydantic.py b/libs/core/langchain_core/utils/pydantic.py index 0b87e2dcf85b2..7d81b8f70f03c 100644 --- a/libs/core/langchain_core/utils/pydantic.py +++ b/libs/core/langchain_core/utils/pydantic.py @@ -48,18 +48,7 @@ def get_pydantic_major_version() -> int: return 0 -def _get_pydantic_minor_version() -> int: - """Get the minor version of Pydantic.""" - try: - import pydantic - - return int(pydantic.__version__.split(".")[1]) - except ImportError: - return 0 - - PYDANTIC_MAJOR_VERSION = get_pydantic_major_version() -PYDANTIC_MINOR_VERSION = _get_pydantic_minor_version() if PYDANTIC_MAJOR_VERSION == 1: @@ -211,7 +200,7 @@ def wrapper(cls: type[BaseModel], values: dict[str, Any]) -> dict[str, Any]: name not in values or values[name] is None ) and not field_info.is_required(): if field_info.default_factory is not None: - values[name] = field_info.default_factory() # type: ignore + values[name] = field_info.default_factory() else: values[name] = field_info.default diff --git a/libs/core/poetry.lock b/libs/core/poetry.lock index dfc6f8a05c59f..eefb92d4715d3 100644 --- a/libs/core/poetry.lock +++ b/libs/core/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. 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b/libs/core/tests/unit_tests/prompts/__snapshots__/test_chat.ambr @@ -94,7 +94,6 @@ 'const': 'ai', 'default': 'ai', 'title': 'Type', - 'type': 'string', }), 'usage_metadata': dict({ 'anyOf': list([ @@ -207,7 +206,6 @@ 'const': 'AIMessageChunk', 'default': 'AIMessageChunk', 'title': 'Type', - 'type': 'string', }), 'usage_metadata': dict({ 'anyOf': list([ @@ -292,7 +290,6 @@ 'const': 'chat', 'default': 'chat', 'title': 'Type', - 'type': 'string', }), }), 'required': list([ @@ -367,7 +364,6 @@ 'const': 'ChatMessageChunk', 'default': 'ChatMessageChunk', 'title': 'Type', - 'type': 'string', }), }), 'required': list([ @@ -439,7 +435,6 @@ 'const': 'function', 'default': 'function', 'title': 'Type', - 'type': 'string', }), }), 'required': list([ @@ -502,7 +497,6 @@ 'const': 'FunctionMessageChunk', 'default': 'FunctionMessageChunk', 'title': 'Type', - 'type': 'string', }), }), 'required': list([ @@ -601,7 +595,6 @@ 'const': 'human', 'default': 'human', 'title': 'Type', - 'type': 'string', }), }), 'required': list([ @@ -676,7 +669,6 @@ 'const': 'HumanMessageChunk', 'default': 'HumanMessageChunk', 'title': 'Type', - 'type': 'string', }), }), 'required': list([ @@ -775,7 +767,6 @@ 'type': dict({ 'const': 'invalid_tool_call', 'title': 'Type', - 'type': 'string', }), }), 'required': list([ @@ -901,7 +892,6 @@ 'const': 'system', 'default': 'system', 'title': 'Type', - 'type': 'string', }), }), 'required': list([ @@ -971,7 +961,6 @@ 'const': 'SystemMessageChunk', 'default': 'SystemMessageChunk', 'title': 'Type', - 'type': 'string', }), }), 'required': list([ @@ -1020,7 +1009,6 @@ 'type': dict({ 'const': 'tool_call', 'title': 'Type', - 'type': 'string', }), }), 'required': list([ @@ -1099,7 +1087,6 @@ 'type': dict({ 'const': 'tool_call_chunk', 'title': 'Type', - 'type': 'string', }), }), 'required': list([ @@ -1222,7 +1209,6 @@ 'const': 'tool', 'default': 'tool', 'title': 'Type', - 'type': 'string', }), }), 'required': list([ @@ -1304,7 +1290,6 @@ 'const': 'ToolMessageChunk', 'default': 'ToolMessageChunk', 'title': 'Type', - 'type': 'string', }), }), 'required': list([ @@ -1524,7 +1509,6 @@ 'const': 'ai', 'default': 'ai', 'title': 'Type', - 'type': 'string', }), 'usage_metadata': dict({ 'anyOf': list([ @@ -1637,7 +1621,6 @@ 'const': 'AIMessageChunk', 'default': 'AIMessageChunk', 'title': 'Type', - 'type': 'string', }), 'usage_metadata': dict({ 'anyOf': list([ @@ -1722,7 +1705,6 @@ 'const': 'chat', 'default': 'chat', 'title': 'Type', - 'type': 'string', }), }), 'required': list([ @@ -1797,7 +1779,6 @@ 'const': 'ChatMessageChunk', 'default': 'ChatMessageChunk', 'title': 'Type', - 'type': 'string', }), }), 'required': list([ @@ -1869,7 +1850,6 @@ 'const': 'function', 'default': 'function', 'title': 'Type', - 'type': 'string', }), }), 'required': list([ @@ -1932,7 +1912,6 @@ 'const': 'FunctionMessageChunk', 'default': 'FunctionMessageChunk', 'title': 'Type', - 'type': 'string', }), }), 'required': list([ @@ -2031,7 +2010,6 @@ 'const': 'human', 'default': 'human', 'title': 'Type', - 'type': 'string', }), }), 'required': list([ @@ -2106,7 +2084,6 @@ 'const': 'HumanMessageChunk', 'default': 'HumanMessageChunk', 'title': 'Type', - 'type': 'string', }), }), 'required': list([ @@ -2205,7 +2182,6 @@ 'type': dict({ 'const': 'invalid_tool_call', 'title': 'Type', - 'type': 'string', }), }), 'required': list([ @@ -2331,7 +2307,6 @@ 'const': 'system', 'default': 'system', 'title': 'Type', - 'type': 'string', }), }), 'required': list([ @@ -2401,7 +2376,6 @@ 'const': 'SystemMessageChunk', 'default': 'SystemMessageChunk', 'title': 'Type', - 'type': 'string', }), }), 'required': list([ @@ -2450,7 +2424,6 @@ 'type': dict({ 'const': 'tool_call', 'title': 'Type', - 'type': 'string', }), }), 'required': list([ @@ -2529,7 +2502,6 @@ 'type': dict({ 'const': 'tool_call_chunk', 'title': 'Type', - 'type': 'string', }), }), 'required': list([ @@ -2652,7 +2624,6 @@ 'const': 'tool', 'default': 'tool', 'title': 'Type', - 'type': 'string', }), }), 'required': list([ @@ -2734,7 +2705,6 @@ 'const': 'ToolMessageChunk', 'default': 'ToolMessageChunk', 'title': 'Type', - 'type': 'string', }), }), 'required': list([ diff --git a/libs/core/tests/unit_tests/prompts/test_chat.py b/libs/core/tests/unit_tests/prompts/test_chat.py index 6249aa6f47893..8038281b58d2a 100644 --- a/libs/core/tests/unit_tests/prompts/test_chat.py +++ b/libs/core/tests/unit_tests/prompts/test_chat.py @@ -33,7 +33,6 @@ _convert_to_message, ) from langchain_core.prompts.string import PromptTemplateFormat -from langchain_core.utils.pydantic import PYDANTIC_MAJOR_VERSION, PYDANTIC_MINOR_VERSION from tests.unit_tests.pydantic_utils import _normalize_schema @@ -853,22 +852,18 @@ def test_chat_input_schema(snapshot: SnapshotAssertion) -> None: assert prompt_all_required.optional_variables == [] with pytest.raises(ValidationError): prompt_all_required.input_schema(input="") - - if (PYDANTIC_MAJOR_VERSION, PYDANTIC_MINOR_VERSION) >= (2, 10): - assert _normalize_schema( - prompt_all_required.get_input_jsonschema() - ) == snapshot(name="required") + assert _normalize_schema(prompt_all_required.get_input_jsonschema()) == snapshot( + name="required" + ) prompt_optional = ChatPromptTemplate( messages=[MessagesPlaceholder("history", optional=True), ("user", "${input}")] ) # input variables only lists required variables assert set(prompt_optional.input_variables) == {"input"} prompt_optional.input_schema(input="") # won't raise error - - if (PYDANTIC_MAJOR_VERSION, PYDANTIC_MINOR_VERSION) >= (2, 10): - assert _normalize_schema(prompt_optional.get_input_jsonschema()) == snapshot( - name="partial" - ) + assert _normalize_schema(prompt_optional.get_input_jsonschema()) == snapshot( + name="partial" + ) def test_chat_prompt_w_msgs_placeholder_ser_des(snapshot: SnapshotAssertion) -> None: diff --git a/libs/core/tests/unit_tests/runnables/__snapshots__/test_graph.ambr b/libs/core/tests/unit_tests/runnables/__snapshots__/test_graph.ambr index 5a3b7126d9937..208bdbac45e7f 100644 --- a/libs/core/tests/unit_tests/runnables/__snapshots__/test_graph.ambr +++ b/libs/core/tests/unit_tests/runnables/__snapshots__/test_graph.ambr @@ -468,7 +468,6 @@ 'const': 'ai', 'default': 'ai', 'title': 'Type', - 'type': 'string', }), 'usage_metadata': dict({ 'anyOf': list([ @@ -581,7 +580,6 @@ 'const': 'AIMessageChunk', 'default': 'AIMessageChunk', 'title': 'Type', - 'type': 'string', }), 'usage_metadata': dict({ 'anyOf': list([ @@ -666,7 +664,6 @@ 'const': 'chat', 'default': 'chat', 'title': 'Type', - 'type': 'string', }), }), 'required': list([ @@ -741,7 +738,6 @@ 'const': 'ChatMessageChunk', 'default': 'ChatMessageChunk', 'title': 'Type', - 'type': 'string', }), }), 'required': list([ @@ -813,7 +809,6 @@ 'const': 'function', 'default': 'function', 'title': 'Type', - 'type': 'string', }), }), 'required': list([ @@ -876,7 +871,6 @@ 'const': 'FunctionMessageChunk', 'default': 'FunctionMessageChunk', 'title': 'Type', - 'type': 'string', }), }), 'required': list([ @@ -975,7 +969,6 @@ 'const': 'human', 'default': 'human', 'title': 'Type', - 'type': 'string', }), }), 'required': list([ @@ -1050,7 +1043,6 @@ 'const': 'HumanMessageChunk', 'default': 'HumanMessageChunk', 'title': 'Type', - 'type': 'string', }), }), 'required': list([ @@ -1149,7 +1141,6 @@ 'type': dict({ 'const': 'invalid_tool_call', 'title': 'Type', - 'type': 'string', }), }), 'required': list([ @@ -1275,7 +1266,6 @@ 'const': 'system', 'default': 'system', 'title': 'Type', - 'type': 'string', }), }), 'required': list([ @@ -1345,7 +1335,6 @@ 'const': 'SystemMessageChunk', 'default': 'SystemMessageChunk', 'title': 'Type', - 'type': 'string', }), }), 'required': list([ @@ -1394,7 +1383,6 @@ 'type': dict({ 'const': 'tool_call', 'title': 'Type', - 'type': 'string', }), }), 'required': list([ @@ -1473,7 +1461,6 @@ 'type': dict({ 'const': 'tool_call_chunk', 'title': 'Type', - 'type': 'string', }), }), 'required': list([ @@ -1596,7 +1583,6 @@ 'const': 'tool', 'default': 'tool', 'title': 'Type', - 'type': 'string', }), }), 'required': list([ @@ -1678,7 +1664,6 @@ 'const': 'ToolMessageChunk', 'default': 'ToolMessageChunk', 'title': 'Type', - 'type': 'string', }), }), 'required': list([ diff --git a/libs/core/tests/unit_tests/runnables/__snapshots__/test_runnable.ambr b/libs/core/tests/unit_tests/runnables/__snapshots__/test_runnable.ambr index 032cc3726a0d0..38a99073107d6 100644 --- a/libs/core/tests/unit_tests/runnables/__snapshots__/test_runnable.ambr +++ b/libs/core/tests/unit_tests/runnables/__snapshots__/test_runnable.ambr @@ -480,7 +480,7 @@ # --- # name: test_combining_sequences.3 list([ - RunTree(id=UUID('00000000-0000-4000-8000-000000000000'), name='RunnableSequence', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='chain', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized=None, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'question': 'What is your name?'}, outputs={'output': ['baz', 'qux']}, reference_example_id=None, parent_run_id=None, tags=[], attachments={}, child_runs=[RunTree(id=UUID('00000000-0000-4000-8000-000000000001'), name='ChatPromptTemplate', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='prompt', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized={'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'ChatPromptTemplate'], 'kwargs': {'input_variables': ['question'], 'messages': [{'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'SystemMessagePromptTemplate'], 'kwargs': {'prompt': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'prompt', 'PromptTemplate'], 'kwargs': {'input_variables': [], 'template': 'You are a nice assistant.', 'template_format': 'f-string'}, 'name': 'PromptTemplate'}}}, {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'HumanMessagePromptTemplate'], 'kwargs': {'prompt': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'prompt', 'PromptTemplate'], 'kwargs': {'input_variables': ['question'], 'template': '{question}', 'template_format': 'f-string'}, 'name': 'PromptTemplate'}}}]}, 'name': 'ChatPromptTemplate'}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'question': 'What is your name?'}, outputs={'output': ChatPromptValue(messages=[SystemMessage(content='You are a nice assistant.', additional_kwargs={}, response_metadata={}), HumanMessage(content='What is your name?', additional_kwargs={}, response_metadata={})])}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=['seq:step:1'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000.20230101T000000000000Z00000000-0000-4000-8000-000000000001', trace_id=UUID('00000000-0000-4000-8000-000000000000')), RunTree(id=UUID('00000000-0000-4000-8000-000000000002'), name='FakeListChatModel', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='llm', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={'invocation_params': {'responses': ['foo, bar'], '_type': 'fake-list-chat-model', 'stop': None}, 'options': {'stop': None}, 'batch_size': 1, 'metadata': {'ls_provider': 'fakelistchatmodel', 'ls_model_type': 'chat'}}, error=None, serialized={'lc': 1, 'type': 'not_implemented', 'id': ['langchain_core', 'language_models', 'fake_chat_models', 'FakeListChatModel'], 'repr': "FakeListChatModel(responses=['foo, bar'])", 'name': 'FakeListChatModel'}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'prompts': ['System: You are a nice assistant.\nHuman: What is your name?']}, outputs={'generations': [[{'text': 'foo, bar', 'generation_info': None, 'type': 'ChatGeneration', 'message': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'schema', 'messages', 'AIMessage'], 'kwargs': {'content': 'foo, bar', 'type': 'ai', 'id': 'run-00000000-0000-4000-8000-000000000002-0', 'tool_calls': [], 'invalid_tool_calls': []}}}]], 'llm_output': None, 'run': None, 'type': 'LLMResult'}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=['seq:step:2'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000.20230101T000000000000Z00000000-0000-4000-8000-000000000002', trace_id=UUID('00000000-0000-4000-8000-000000000000')), RunTree(id=UUID('00000000-0000-4000-8000-000000000003'), name='CommaSeparatedListOutputParser', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='parser', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized=None, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'input': AIMessage(content='foo, bar', additional_kwargs={}, response_metadata={}, id='00000000-0000-4000-8000-000000000004')}, outputs={'output': ['foo', 'bar']}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=['seq:step:3'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000.20230101T000000000000Z00000000-0000-4000-8000-000000000003', trace_id=UUID('00000000-0000-4000-8000-000000000000')), RunTree(id=UUID('00000000-0000-4000-8000-000000000005'), name='RunnableLambda', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='chain', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized=None, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'input': ['foo', 'bar']}, outputs={'question': 'foobar'}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=['seq:step:4'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000.20230101T000000000000Z00000000-0000-4000-8000-000000000005', trace_id=UUID('00000000-0000-4000-8000-000000000000')), RunTree(id=UUID('00000000-0000-4000-8000-000000000006'), name='ChatPromptTemplate', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='prompt', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized={'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'ChatPromptTemplate'], 'kwargs': {'input_variables': ['question'], 'messages': [{'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'SystemMessagePromptTemplate'], 'kwargs': {'prompt': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'prompt', 'PromptTemplate'], 'kwargs': {'input_variables': [], 'template': 'You are a nicer assistant.', 'template_format': 'f-string'}, 'name': 'PromptTemplate'}}}, {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'HumanMessagePromptTemplate'], 'kwargs': {'prompt': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'prompt', 'PromptTemplate'], 'kwargs': {'input_variables': ['question'], 'template': '{question}', 'template_format': 'f-string'}, 'name': 'PromptTemplate'}}}]}, 'name': 'ChatPromptTemplate'}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'question': 'foobar'}, outputs={'output': ChatPromptValue(messages=[SystemMessage(content='You are a nicer assistant.', additional_kwargs={}, response_metadata={}), HumanMessage(content='foobar', additional_kwargs={}, response_metadata={})])}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=['seq:step:5'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000.20230101T000000000000Z00000000-0000-4000-8000-000000000006', trace_id=UUID('00000000-0000-4000-8000-000000000000')), RunTree(id=UUID('00000000-0000-4000-8000-000000000007'), name='FakeListChatModel', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='llm', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={'invocation_params': {'responses': ['baz, qux'], '_type': 'fake-list-chat-model', 'stop': None}, 'options': {'stop': None}, 'batch_size': 1, 'metadata': {'ls_provider': 'fakelistchatmodel', 'ls_model_type': 'chat'}}, error=None, serialized={'lc': 1, 'type': 'not_implemented', 'id': ['langchain_core', 'language_models', 'fake_chat_models', 'FakeListChatModel'], 'repr': "FakeListChatModel(responses=['baz, qux'])", 'name': 'FakeListChatModel'}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'prompts': ['System: You are a nicer assistant.\nHuman: foobar']}, outputs={'generations': [[{'text': 'baz, qux', 'generation_info': None, 'type': 'ChatGeneration', 'message': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'schema', 'messages', 'AIMessage'], 'kwargs': {'content': 'baz, qux', 'type': 'ai', 'id': 'run-00000000-0000-4000-8000-000000000006-0', 'tool_calls': [], 'invalid_tool_calls': []}}}]], 'llm_output': None, 'run': None, 'type': 'LLMResult'}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=['seq:step:6'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000.20230101T000000000000Z00000000-0000-4000-8000-000000000007', trace_id=UUID('00000000-0000-4000-8000-000000000000')), RunTree(id=UUID('00000000-0000-4000-8000-000000000008'), name='CommaSeparatedListOutputParser', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='parser', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized=None, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'input': AIMessage(content='baz, qux', additional_kwargs={}, response_metadata={}, id='00000000-0000-4000-8000-000000000009')}, outputs={'output': ['baz', 'qux']}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=['seq:step:7'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000.20230101T000000000000Z00000000-0000-4000-8000-000000000008', trace_id=UUID('00000000-0000-4000-8000-000000000000'))], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000', trace_id=UUID('00000000-0000-4000-8000-000000000000')), + RunTree(id=00000000-0000-4000-8000-000000000000, name='RunnableSequence', run_type='chain', dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000'), ]) # --- # name: test_configurable_fields[schema2] @@ -1119,7 +1119,7 @@ # --- # name: test_prompt_with_chat_model.2 list([ - RunTree(id=UUID('00000000-0000-4000-8000-000000000000'), name='RunnableSequence', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='chain', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized=None, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'question': 'What is your name?'}, outputs={'output': AIMessage(content='foo', additional_kwargs={}, response_metadata={}, id='00000000-0000-4000-8000-000000000003')}, reference_example_id=None, parent_run_id=None, tags=[], attachments={}, child_runs=[RunTree(id=UUID('00000000-0000-4000-8000-000000000001'), name='ChatPromptTemplate', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='prompt', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized={'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'ChatPromptTemplate'], 'kwargs': {'input_variables': ['question'], 'messages': [{'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'SystemMessagePromptTemplate'], 'kwargs': {'prompt': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'prompt', 'PromptTemplate'], 'kwargs': {'input_variables': [], 'template': 'You are a nice assistant.', 'template_format': 'f-string'}, 'name': 'PromptTemplate'}}}, {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'HumanMessagePromptTemplate'], 'kwargs': {'prompt': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'prompt', 'PromptTemplate'], 'kwargs': {'input_variables': ['question'], 'template': '{question}', 'template_format': 'f-string'}, 'name': 'PromptTemplate'}}}]}, 'name': 'ChatPromptTemplate'}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'question': 'What is your name?'}, outputs={'output': ChatPromptValue(messages=[SystemMessage(content='You are a nice assistant.', additional_kwargs={}, response_metadata={}), HumanMessage(content='What is your name?', additional_kwargs={}, response_metadata={})])}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=['seq:step:1'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000.20230101T000000000000Z00000000-0000-4000-8000-000000000001', trace_id=UUID('00000000-0000-4000-8000-000000000000')), RunTree(id=UUID('00000000-0000-4000-8000-000000000002'), name='FakeListChatModel', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='llm', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={'invocation_params': {'responses': ['foo'], '_type': 'fake-list-chat-model', 'stop': None}, 'options': {'stop': None}, 'batch_size': 1, 'metadata': {'ls_provider': 'fakelistchatmodel', 'ls_model_type': 'chat'}}, error=None, serialized={'lc': 1, 'type': 'not_implemented', 'id': ['langchain_core', 'language_models', 'fake_chat_models', 'FakeListChatModel'], 'repr': "FakeListChatModel(responses=['foo'])", 'name': 'FakeListChatModel'}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'prompts': ['System: You are a nice assistant.\nHuman: What is your name?']}, outputs={'generations': [[{'text': 'foo', 'generation_info': None, 'type': 'ChatGeneration', 'message': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'schema', 'messages', 'AIMessage'], 'kwargs': {'content': 'foo', 'type': 'ai', 'id': 'run-00000000-0000-4000-8000-000000000002-0', 'tool_calls': [], 'invalid_tool_calls': []}}}]], 'llm_output': None, 'run': None, 'type': 'LLMResult'}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=['seq:step:2'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000.20230101T000000000000Z00000000-0000-4000-8000-000000000002', trace_id=UUID('00000000-0000-4000-8000-000000000000'))], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000', trace_id=UUID('00000000-0000-4000-8000-000000000000')), + RunTree(id=00000000-0000-4000-8000-000000000000, name='RunnableSequence', run_type='chain', dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000'), ]) # --- # name: test_prompt_with_chat_model_and_parser @@ -1243,7 +1243,7 @@ # --- # name: test_prompt_with_chat_model_and_parser.1 list([ - RunTree(id=UUID('00000000-0000-4000-8000-000000000000'), name='RunnableSequence', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='chain', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized=None, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'question': 'What is your name?'}, outputs={'output': ['foo', 'bar']}, reference_example_id=None, parent_run_id=None, tags=[], attachments={}, child_runs=[RunTree(id=UUID('00000000-0000-4000-8000-000000000001'), name='ChatPromptTemplate', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='prompt', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized={'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'ChatPromptTemplate'], 'kwargs': {'input_variables': ['question'], 'messages': [{'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'SystemMessagePromptTemplate'], 'kwargs': {'prompt': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'prompt', 'PromptTemplate'], 'kwargs': {'input_variables': [], 'template': 'You are a nice assistant.', 'template_format': 'f-string'}, 'name': 'PromptTemplate'}}}, {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'HumanMessagePromptTemplate'], 'kwargs': {'prompt': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'prompt', 'PromptTemplate'], 'kwargs': {'input_variables': ['question'], 'template': '{question}', 'template_format': 'f-string'}, 'name': 'PromptTemplate'}}}]}, 'name': 'ChatPromptTemplate'}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'question': 'What is your name?'}, outputs={'output': ChatPromptValue(messages=[SystemMessage(content='You are a nice assistant.', additional_kwargs={}, response_metadata={}), HumanMessage(content='What is your name?', additional_kwargs={}, response_metadata={})])}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=['seq:step:1'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000.20230101T000000000000Z00000000-0000-4000-8000-000000000001', trace_id=UUID('00000000-0000-4000-8000-000000000000')), RunTree(id=UUID('00000000-0000-4000-8000-000000000002'), name='FakeListChatModel', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='llm', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={'invocation_params': {'responses': ['foo, bar'], '_type': 'fake-list-chat-model', 'stop': None}, 'options': {'stop': None}, 'batch_size': 1, 'metadata': {'ls_provider': 'fakelistchatmodel', 'ls_model_type': 'chat'}}, error=None, serialized={'lc': 1, 'type': 'not_implemented', 'id': ['langchain_core', 'language_models', 'fake_chat_models', 'FakeListChatModel'], 'repr': "FakeListChatModel(responses=['foo, bar'])", 'name': 'FakeListChatModel'}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'prompts': ['System: You are a nice assistant.\nHuman: What is your name?']}, outputs={'generations': [[{'text': 'foo, bar', 'generation_info': None, 'type': 'ChatGeneration', 'message': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'schema', 'messages', 'AIMessage'], 'kwargs': {'content': 'foo, bar', 'type': 'ai', 'id': 'run-00000000-0000-4000-8000-000000000002-0', 'tool_calls': [], 'invalid_tool_calls': []}}}]], 'llm_output': None, 'run': None, 'type': 'LLMResult'}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=['seq:step:2'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000.20230101T000000000000Z00000000-0000-4000-8000-000000000002', trace_id=UUID('00000000-0000-4000-8000-000000000000')), RunTree(id=UUID('00000000-0000-4000-8000-000000000003'), name='CommaSeparatedListOutputParser', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='parser', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized=None, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'input': AIMessage(content='foo, bar', additional_kwargs={}, response_metadata={}, id='00000000-0000-4000-8000-000000000004')}, outputs={'output': ['foo', 'bar']}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=['seq:step:3'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000.20230101T000000000000Z00000000-0000-4000-8000-000000000003', trace_id=UUID('00000000-0000-4000-8000-000000000000'))], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000', trace_id=UUID('00000000-0000-4000-8000-000000000000')), + RunTree(id=00000000-0000-4000-8000-000000000000, name='RunnableSequence', run_type='chain', dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000'), ]) # --- # name: test_prompt_with_chat_model_async @@ -1359,7 +1359,7 @@ # --- # name: test_prompt_with_chat_model_async.2 list([ - RunTree(id=UUID('00000000-0000-4000-8000-000000000000'), name='RunnableSequence', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='chain', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized=None, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'question': 'What is your name?'}, outputs={'output': AIMessage(content='foo', additional_kwargs={}, response_metadata={}, id='00000000-0000-4000-8000-000000000003')}, reference_example_id=None, parent_run_id=None, tags=[], attachments={}, child_runs=[RunTree(id=UUID('00000000-0000-4000-8000-000000000001'), name='ChatPromptTemplate', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='prompt', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized={'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'ChatPromptTemplate'], 'kwargs': {'input_variables': ['question'], 'messages': [{'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'SystemMessagePromptTemplate'], 'kwargs': {'prompt': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'prompt', 'PromptTemplate'], 'kwargs': {'input_variables': [], 'template': 'You are a nice assistant.', 'template_format': 'f-string'}, 'name': 'PromptTemplate'}}}, {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'HumanMessagePromptTemplate'], 'kwargs': {'prompt': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'prompt', 'PromptTemplate'], 'kwargs': {'input_variables': ['question'], 'template': '{question}', 'template_format': 'f-string'}, 'name': 'PromptTemplate'}}}]}, 'name': 'ChatPromptTemplate'}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'question': 'What is your name?'}, outputs={'output': ChatPromptValue(messages=[SystemMessage(content='You are a nice assistant.', additional_kwargs={}, response_metadata={}), HumanMessage(content='What is your name?', additional_kwargs={}, response_metadata={})])}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=['seq:step:1'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000.20230101T000000000000Z00000000-0000-4000-8000-000000000001', trace_id=UUID('00000000-0000-4000-8000-000000000000')), RunTree(id=UUID('00000000-0000-4000-8000-000000000002'), name='FakeListChatModel', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='llm', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={'invocation_params': {'responses': ['foo'], '_type': 'fake-list-chat-model', 'stop': None}, 'options': {'stop': None}, 'batch_size': 1, 'metadata': {'ls_provider': 'fakelistchatmodel', 'ls_model_type': 'chat'}}, error=None, serialized={'lc': 1, 'type': 'not_implemented', 'id': ['langchain_core', 'language_models', 'fake_chat_models', 'FakeListChatModel'], 'repr': "FakeListChatModel(responses=['foo'])", 'name': 'FakeListChatModel'}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'prompts': ['System: You are a nice assistant.\nHuman: What is your name?']}, outputs={'generations': [[{'text': 'foo', 'generation_info': None, 'type': 'ChatGeneration', 'message': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'schema', 'messages', 'AIMessage'], 'kwargs': {'content': 'foo', 'type': 'ai', 'id': 'run-00000000-0000-4000-8000-000000000002-0', 'tool_calls': [], 'invalid_tool_calls': []}}}]], 'llm_output': None, 'run': None, 'type': 'LLMResult'}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=['seq:step:2'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000.20230101T000000000000Z00000000-0000-4000-8000-000000000002', trace_id=UUID('00000000-0000-4000-8000-000000000000'))], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000', trace_id=UUID('00000000-0000-4000-8000-000000000000')), + RunTree(id=00000000-0000-4000-8000-000000000000, name='RunnableSequence', run_type='chain', dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000'), ]) # --- # name: test_prompt_with_llm @@ -1469,13 +1469,13 @@ # --- # name: test_prompt_with_llm.1 list([ - RunTree(id=UUID('00000000-0000-4000-8000-000000000000'), name='RunnableSequence', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='chain', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized=None, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'question': 'What is your name?'}, outputs={'output': 'foo'}, reference_example_id=None, parent_run_id=None, tags=[], attachments={}, child_runs=[RunTree(id=UUID('00000000-0000-4000-8000-000000000001'), name='ChatPromptTemplate', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='prompt', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized={'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'ChatPromptTemplate'], 'kwargs': {'input_variables': ['question'], 'messages': [{'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'SystemMessagePromptTemplate'], 'kwargs': {'prompt': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'prompt', 'PromptTemplate'], 'kwargs': {'input_variables': [], 'template': 'You are a nice assistant.', 'template_format': 'f-string'}, 'name': 'PromptTemplate'}}}, {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'HumanMessagePromptTemplate'], 'kwargs': {'prompt': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'prompt', 'PromptTemplate'], 'kwargs': {'input_variables': ['question'], 'template': '{question}', 'template_format': 'f-string'}, 'name': 'PromptTemplate'}}}]}, 'name': 'ChatPromptTemplate'}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'question': 'What is your name?'}, outputs={'output': ChatPromptValue(messages=[SystemMessage(content='You are a nice assistant.', additional_kwargs={}, response_metadata={}), HumanMessage(content='What is your name?', additional_kwargs={}, response_metadata={})])}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=['seq:step:1'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000.20230101T000000000000Z00000000-0000-4000-8000-000000000001', trace_id=UUID('00000000-0000-4000-8000-000000000000')), RunTree(id=UUID('00000000-0000-4000-8000-000000000002'), name='FakeListLLM', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='llm', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={'invocation_params': {'responses': ['foo', 'bar'], '_type': 'fake-list', 'stop': None}, 'options': {'stop': None}, 'batch_size': 1, 'metadata': {'ls_provider': 'fakelist', 'ls_model_type': 'llm'}}, error=None, serialized={'lc': 1, 'type': 'not_implemented', 'id': ['langchain_core', 'language_models', 'fake', 'FakeListLLM'], 'repr': "FakeListLLM(responses=['foo', 'bar'])", 'name': 'FakeListLLM'}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'prompts': ['System: You are a nice assistant.\nHuman: What is your name?']}, outputs={'generations': [[{'text': 'foo', 'generation_info': None, 'type': 'Generation'}]], 'llm_output': None, 'run': None, 'type': 'LLMResult'}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=['seq:step:2'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000.20230101T000000000000Z00000000-0000-4000-8000-000000000002', trace_id=UUID('00000000-0000-4000-8000-000000000000'))], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000', trace_id=UUID('00000000-0000-4000-8000-000000000000')), + RunTree(id=00000000-0000-4000-8000-000000000000, name='RunnableSequence', run_type='chain', dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000'), ]) # --- # name: test_prompt_with_llm.2 list([ - RunTree(id=UUID('00000000-0000-4000-8000-000000000000'), name='RunnableSequence', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='chain', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized=None, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'question': 'What is your name?'}, outputs={'output': 'bar'}, reference_example_id=None, parent_run_id=None, tags=[], attachments={}, child_runs=[RunTree(id=UUID('00000000-0000-4000-8000-000000000001'), name='ChatPromptTemplate', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='prompt', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized={'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'ChatPromptTemplate'], 'kwargs': {'input_variables': ['question'], 'messages': [{'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'SystemMessagePromptTemplate'], 'kwargs': {'prompt': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'prompt', 'PromptTemplate'], 'kwargs': {'input_variables': [], 'template': 'You are a nice assistant.', 'template_format': 'f-string'}, 'name': 'PromptTemplate'}}}, {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'HumanMessagePromptTemplate'], 'kwargs': {'prompt': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'prompt', 'PromptTemplate'], 'kwargs': {'input_variables': ['question'], 'template': '{question}', 'template_format': 'f-string'}, 'name': 'PromptTemplate'}}}]}, 'name': 'ChatPromptTemplate'}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'question': 'What is your name?'}, outputs={'output': ChatPromptValue(messages=[SystemMessage(content='You are a nice assistant.', additional_kwargs={}, response_metadata={}), HumanMessage(content='What is your name?', additional_kwargs={}, response_metadata={})])}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=['seq:step:1'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000.20230101T000000000000Z00000000-0000-4000-8000-000000000001', trace_id=UUID('00000000-0000-4000-8000-000000000000')), RunTree(id=UUID('00000000-0000-4000-8000-000000000002'), name='FakeListLLM', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='llm', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={'invocation_params': {'responses': ['foo', 'bar'], '_type': 'fake-list', 'stop': None}, 'options': {'stop': None}, 'batch_size': 2, 'metadata': {'ls_provider': 'fakelist', 'ls_model_type': 'llm'}}, error=None, serialized={'lc': 1, 'type': 'not_implemented', 'id': ['langchain_core', 'language_models', 'fake', 'FakeListLLM'], 'repr': "FakeListLLM(responses=['foo', 'bar'])", 'name': 'FakeListLLM'}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'prompts': ['System: You are a nice assistant.\nHuman: What is your name?']}, outputs={'generations': [[{'text': 'bar', 'generation_info': None, 'type': 'Generation'}]], 'llm_output': None, 'run': None, 'type': 'LLMResult'}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=['seq:step:2'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000.20230101T000000000000Z00000000-0000-4000-8000-000000000002', trace_id=UUID('00000000-0000-4000-8000-000000000000'))], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000', trace_id=UUID('00000000-0000-4000-8000-000000000000')), - RunTree(id=UUID('00000000-0000-4000-8000-000000000003'), name='RunnableSequence', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='chain', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized=None, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'question': 'What is your favorite color?'}, outputs={'output': 'foo'}, reference_example_id=None, parent_run_id=None, tags=[], attachments={}, child_runs=[RunTree(id=UUID('00000000-0000-4000-8000-000000000004'), name='ChatPromptTemplate', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='prompt', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized={'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'ChatPromptTemplate'], 'kwargs': {'input_variables': ['question'], 'messages': [{'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'SystemMessagePromptTemplate'], 'kwargs': {'prompt': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'prompt', 'PromptTemplate'], 'kwargs': {'input_variables': [], 'template': 'You are a nice assistant.', 'template_format': 'f-string'}, 'name': 'PromptTemplate'}}}, {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'HumanMessagePromptTemplate'], 'kwargs': {'prompt': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'prompt', 'PromptTemplate'], 'kwargs': {'input_variables': ['question'], 'template': '{question}', 'template_format': 'f-string'}, 'name': 'PromptTemplate'}}}]}, 'name': 'ChatPromptTemplate'}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'question': 'What is your favorite color?'}, outputs={'output': ChatPromptValue(messages=[SystemMessage(content='You are a nice assistant.', additional_kwargs={}, response_metadata={}), HumanMessage(content='What is your favorite color?', additional_kwargs={}, response_metadata={})])}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000003'), tags=['seq:step:1'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000003.20230101T000000000000Z00000000-0000-4000-8000-000000000004', trace_id=UUID('00000000-0000-4000-8000-000000000003')), RunTree(id=UUID('00000000-0000-4000-8000-000000000005'), name='FakeListLLM', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='llm', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={'invocation_params': {'responses': ['foo', 'bar'], '_type': 'fake-list', 'stop': None}, 'options': {'stop': None}, 'batch_size': 2, 'metadata': {'ls_provider': 'fakelist', 'ls_model_type': 'llm'}}, error=None, serialized={'lc': 1, 'type': 'not_implemented', 'id': ['langchain_core', 'language_models', 'fake', 'FakeListLLM'], 'repr': "FakeListLLM(responses=['foo', 'bar'])", 'name': 'FakeListLLM'}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'prompts': ['System: You are a nice assistant.\nHuman: What is your favorite color?']}, outputs={'generations': [[{'text': 'foo', 'generation_info': None, 'type': 'Generation'}]], 'llm_output': None, 'run': None, 'type': 'LLMResult'}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000003'), tags=['seq:step:2'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000003.20230101T000000000000Z00000000-0000-4000-8000-000000000005', trace_id=UUID('00000000-0000-4000-8000-000000000003'))], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000003', trace_id=UUID('00000000-0000-4000-8000-000000000003')), + RunTree(id=00000000-0000-4000-8000-000000000000, name='RunnableSequence', run_type='chain', dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000'), + RunTree(id=00000000-0000-4000-8000-000000000003, name='RunnableSequence', run_type='chain', dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000003'), ]) # --- # name: test_prompt_with_llm_and_async_lambda @@ -1598,7 +1598,7 @@ # --- # name: test_prompt_with_llm_and_async_lambda.1 list([ - RunTree(id=UUID('00000000-0000-4000-8000-000000000000'), name='RunnableSequence', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='chain', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized=None, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'question': 'What is your name?'}, outputs={'output': 'foo'}, reference_example_id=None, parent_run_id=None, tags=[], attachments={}, child_runs=[RunTree(id=UUID('00000000-0000-4000-8000-000000000001'), name='ChatPromptTemplate', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='prompt', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized={'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'ChatPromptTemplate'], 'kwargs': {'input_variables': ['question'], 'messages': [{'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'SystemMessagePromptTemplate'], 'kwargs': {'prompt': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'prompt', 'PromptTemplate'], 'kwargs': {'input_variables': [], 'template': 'You are a nice assistant.', 'template_format': 'f-string'}, 'name': 'PromptTemplate'}}}, {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'HumanMessagePromptTemplate'], 'kwargs': {'prompt': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'prompt', 'PromptTemplate'], 'kwargs': {'input_variables': ['question'], 'template': '{question}', 'template_format': 'f-string'}, 'name': 'PromptTemplate'}}}]}, 'name': 'ChatPromptTemplate'}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'question': 'What is your name?'}, outputs={'output': ChatPromptValue(messages=[SystemMessage(content='You are a nice assistant.', additional_kwargs={}, response_metadata={}), HumanMessage(content='What is your name?', additional_kwargs={}, response_metadata={})])}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=['seq:step:1'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000.20230101T000000000000Z00000000-0000-4000-8000-000000000001', trace_id=UUID('00000000-0000-4000-8000-000000000000')), RunTree(id=UUID('00000000-0000-4000-8000-000000000002'), name='FakeListLLM', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='llm', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={'invocation_params': {'responses': ['foo', 'bar'], '_type': 'fake-list', 'stop': None}, 'options': {'stop': None}, 'batch_size': 1, 'metadata': {'ls_provider': 'fakelist', 'ls_model_type': 'llm'}}, error=None, serialized={'lc': 1, 'type': 'not_implemented', 'id': ['langchain_core', 'language_models', 'fake', 'FakeListLLM'], 'repr': "FakeListLLM(responses=['foo', 'bar'])", 'name': 'FakeListLLM'}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'prompts': ['System: You are a nice assistant.\nHuman: What is your name?']}, outputs={'generations': [[{'text': 'foo', 'generation_info': None, 'type': 'Generation'}]], 'llm_output': None, 'run': None, 'type': 'LLMResult'}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=['seq:step:2'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000.20230101T000000000000Z00000000-0000-4000-8000-000000000002', trace_id=UUID('00000000-0000-4000-8000-000000000000')), RunTree(id=UUID('00000000-0000-4000-8000-000000000003'), name='passthrough', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='chain', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized=None, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'input': 'foo'}, outputs={'output': 'foo'}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=['seq:step:3'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000.20230101T000000000000Z00000000-0000-4000-8000-000000000003', trace_id=UUID('00000000-0000-4000-8000-000000000000'))], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000', trace_id=UUID('00000000-0000-4000-8000-000000000000')), + RunTree(id=00000000-0000-4000-8000-000000000000, name='RunnableSequence', run_type='chain', dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000'), ]) # --- # name: test_prompt_with_llm_parser @@ -1722,7 +1722,7 @@ # --- # name: test_prompt_with_llm_parser.1 list([ - RunTree(id=UUID('00000000-0000-4000-8000-000000000000'), name='RunnableSequence', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='chain', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized=None, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'question': 'What is your name?'}, outputs={'output': ['bear', 'dog', 'cat']}, reference_example_id=None, parent_run_id=None, tags=[], attachments={}, child_runs=[RunTree(id=UUID('00000000-0000-4000-8000-000000000001'), name='ChatPromptTemplate', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='prompt', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized={'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'ChatPromptTemplate'], 'kwargs': {'input_variables': ['question'], 'messages': [{'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'SystemMessagePromptTemplate'], 'kwargs': {'prompt': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'prompt', 'PromptTemplate'], 'kwargs': {'input_variables': [], 'template': 'You are a nice assistant.', 'template_format': 'f-string'}, 'name': 'PromptTemplate'}}}, {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'HumanMessagePromptTemplate'], 'kwargs': {'prompt': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'prompt', 'PromptTemplate'], 'kwargs': {'input_variables': ['question'], 'template': '{question}', 'template_format': 'f-string'}, 'name': 'PromptTemplate'}}}]}, 'name': 'ChatPromptTemplate'}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'question': 'What is your name?'}, outputs={'output': ChatPromptValue(messages=[SystemMessage(content='You are a nice assistant.', additional_kwargs={}, response_metadata={}), HumanMessage(content='What is your name?', additional_kwargs={}, response_metadata={})])}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=['seq:step:1'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000.20230101T000000000000Z00000000-0000-4000-8000-000000000001', trace_id=UUID('00000000-0000-4000-8000-000000000000')), RunTree(id=UUID('00000000-0000-4000-8000-000000000002'), name='FakeStreamingListLLM', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='llm', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={'invocation_params': {'responses': ['bear, dog, cat', 'tomato, lettuce, onion'], '_type': 'fake-list', 'stop': None}, 'options': {'stop': None}, 'batch_size': 1, 'metadata': {'ls_provider': 'fakestreaminglist', 'ls_model_type': 'llm'}}, error=None, serialized={'lc': 1, 'type': 'not_implemented', 'id': ['langchain_core', 'language_models', 'fake', 'FakeStreamingListLLM'], 'repr': "FakeStreamingListLLM(responses=['bear, dog, cat', 'tomato, lettuce, onion'])", 'name': 'FakeStreamingListLLM'}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'prompts': ['System: You are a nice assistant.\nHuman: What is your name?']}, outputs={'generations': [[{'text': 'bear, dog, cat', 'generation_info': None, 'type': 'Generation'}]], 'llm_output': None, 'run': None, 'type': 'LLMResult'}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=['seq:step:2'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000.20230101T000000000000Z00000000-0000-4000-8000-000000000002', trace_id=UUID('00000000-0000-4000-8000-000000000000')), RunTree(id=UUID('00000000-0000-4000-8000-000000000003'), name='CommaSeparatedListOutputParser', start_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), run_type='parser', end_time=FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc), extra={}, error=None, serialized=None, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0, tzinfo=datetime.timezone.utc)}], inputs={'input': 'bear, dog, cat'}, outputs={'output': ['bear', 'dog', 'cat']}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=['seq:step:3'], attachments={}, child_runs=[], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000.20230101T000000000000Z00000000-0000-4000-8000-000000000003', trace_id=UUID('00000000-0000-4000-8000-000000000000'))], session_name='default', session_id=None, dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000', trace_id=UUID('00000000-0000-4000-8000-000000000000')), + RunTree(id=00000000-0000-4000-8000-000000000000, name='RunnableSequence', run_type='chain', dotted_order='20230101T000000000000Z00000000-0000-4000-8000-000000000000'), ]) # --- # name: test_router_runnable @@ -14047,8 +14047,7 @@ "stop": [ "Thought:" ] - }, - "config": {} + } }, "name": "FakeListChatModel" }, diff --git a/libs/core/tests/unit_tests/runnables/test_graph.py b/libs/core/tests/unit_tests/runnables/test_graph.py index 789875db62362..39f2f2871a800 100644 --- a/libs/core/tests/unit_tests/runnables/test_graph.py +++ b/libs/core/tests/unit_tests/runnables/test_graph.py @@ -12,7 +12,6 @@ from langchain_core.runnables.base import Runnable, RunnableConfig from langchain_core.runnables.graph import Edge, Graph, Node from langchain_core.runnables.graph_mermaid import _escape_node_label -from langchain_core.utils.pydantic import PYDANTIC_MAJOR_VERSION, PYDANTIC_MINOR_VERSION from tests.unit_tests.pydantic_utils import _normalize_schema @@ -211,15 +210,10 @@ def conditional_str_parser(input: str) -> Runnable: } ) graph = sequence.get_graph() - - if (PYDANTIC_MAJOR_VERSION, PYDANTIC_MINOR_VERSION) >= (2, 10): - assert _normalize_schema(graph.to_json(with_schemas=True)) == snapshot( - name="graph_with_schema" - ) - - if (PYDANTIC_MAJOR_VERSION, PYDANTIC_MINOR_VERSION) >= (2, 10): - assert _normalize_schema(graph.to_json()) == snapshot(name="graph_no_schemas") - + assert _normalize_schema(graph.to_json(with_schemas=True)) == snapshot( + name="graph_with_schema" + ) + assert _normalize_schema(graph.to_json()) == snapshot(name="graph_no_schemas") assert graph.draw_ascii() == snapshot(name="ascii") assert graph.draw_mermaid() == snapshot(name="mermaid") assert graph.draw_mermaid(with_styles=False) == snapshot(name="mermaid-simple") diff --git a/libs/core/tests/unit_tests/runnables/test_runnable.py b/libs/core/tests/unit_tests/runnables/test_runnable.py index 828f4cafcabf9..d1f67a6c8d9ef 100644 --- a/libs/core/tests/unit_tests/runnables/test_runnable.py +++ b/libs/core/tests/unit_tests/runnables/test_runnable.py @@ -87,7 +87,6 @@ RunLogPatch, ) from langchain_core.tracers.context import collect_runs -from langchain_core.utils.pydantic import PYDANTIC_MAJOR_VERSION, PYDANTIC_MINOR_VERSION from tests.unit_tests.pydantic_utils import _normalize_schema, _schema from tests.unit_tests.stubs import AnyStr, _any_id_ai_message, _any_id_ai_message_chunk @@ -224,13 +223,6 @@ async def _aget_relevant_documents( return [Document(page_content="foo"), Document(page_content="bar")] -@pytest.mark.skipif( - (PYDANTIC_MAJOR_VERSION, PYDANTIC_MINOR_VERSION) >= (2, 10), - reason=( - "Only test with most recent version of pydantic. " - "Pydantic introduced small fixes to generated JSONSchema on minor versions." - ), -) def test_schemas(snapshot: SnapshotAssertion) -> None: fake = FakeRunnable() # str -> int @@ -2949,9 +2941,7 @@ def test_seq_prompt_map(mocker: MockerFixture, snapshot: SnapshotAssertion) -> N assert chain.first == prompt assert chain.middle == [RunnableLambda(passthrough)] assert isinstance(chain.last, RunnableParallel) - - if (PYDANTIC_MAJOR_VERSION, PYDANTIC_MINOR_VERSION) >= (2, 10): - assert dumps(chain, pretty=True) == snapshot + assert dumps(chain, pretty=True) == snapshot # Test invoke prompt_spy = mocker.spy(prompt.__class__, "invoke") From 058e27f6ce172d81cf0e20967492fc37698c2647 Mon Sep 17 00:00:00 2001 From: Eugene Yurtsev Date: Fri, 22 Nov 2024 21:35:18 -0500 Subject: [PATCH 15/18] type ignore --- libs/langchain/langchain/chains/api/base.py | 4 +++- .../langchain/memory/vectorstore_token_buffer_memory.py | 2 +- 2 files changed, 4 insertions(+), 2 deletions(-) diff --git a/libs/langchain/langchain/chains/api/base.py b/libs/langchain/langchain/chains/api/base.py index 0cb2dbd2855fa..f0ae47aaeccbe 100644 --- a/libs/langchain/langchain/chains/api/base.py +++ b/libs/langchain/langchain/chains/api/base.py @@ -198,7 +198,9 @@ async def acall_model(state: ChainState, config: RunnableConfig): api_docs: str question_key: str = "question" #: :meta private: output_key: str = "output" #: :meta private: - limit_to_domains: Optional[Sequence[str]] = Field(default_factory=list) + limit_to_domains: Optional[Sequence[str]] = Field( # type: ignore + default_factory=list + ) """Use to limit the domains that can be accessed by the API chain. * For example, to limit to just the domain `https://www.example.com`, set diff --git a/libs/langchain/langchain/memory/vectorstore_token_buffer_memory.py b/libs/langchain/langchain/memory/vectorstore_token_buffer_memory.py index 293773e84a173..d1812e79dd7ce 100644 --- a/libs/langchain/langchain/memory/vectorstore_token_buffer_memory.py +++ b/libs/langchain/langchain/memory/vectorstore_token_buffer_memory.py @@ -109,7 +109,7 @@ class ConversationVectorStoreTokenBufferMemory(ConversationTokenBufferMemory): previous_history_template: str = DEFAULT_HISTORY_TEMPLATE split_chunk_size: int = 1000 - _memory_retriever: VectorStoreRetrieverMemory = PrivateAttr(default=None) + _memory_retriever: VectorStoreRetrieverMemory = PrivateAttr(default=None) # type: ignore _timestamps: List[datetime] = PrivateAttr(default_factory=list) @property From afe7d78963ac17f628082889390edebec729c010 Mon Sep 17 00:00:00 2001 From: Eugene Yurtsev Date: Fri, 22 Nov 2024 21:42:23 -0500 Subject: [PATCH 16/18] x --- libs/langchain/langchain/chains/api/base.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/libs/langchain/langchain/chains/api/base.py b/libs/langchain/langchain/chains/api/base.py index f0ae47aaeccbe..c8d155f696ff7 100644 --- a/libs/langchain/langchain/chains/api/base.py +++ b/libs/langchain/langchain/chains/api/base.py @@ -198,8 +198,8 @@ async def acall_model(state: ChainState, config: RunnableConfig): api_docs: str question_key: str = "question" #: :meta private: output_key: str = "output" #: :meta private: - limit_to_domains: Optional[Sequence[str]] = Field( # type: ignore - default_factory=list + limit_to_domains: Optional[Sequence[str]] = Field( + default_factory=list # type: ignore ) """Use to limit the domains that can be accessed by the API chain. From 39cb79dab0575972f68b17d24e9f7fe79e03c302 Mon Sep 17 00:00:00 2001 From: Eugene Yurtsev Date: Fri, 22 Nov 2024 21:48:32 -0500 Subject: [PATCH 17/18] x --- .../tests/unit_tests/output_parsers/test_fix.py | 16 +++++++++------- 1 file changed, 9 insertions(+), 7 deletions(-) diff --git a/libs/langchain/tests/unit_tests/output_parsers/test_fix.py b/libs/langchain/tests/unit_tests/output_parsers/test_fix.py index a8961663925ef..98fe71bce6e27 100644 --- a/libs/langchain/tests/unit_tests/output_parsers/test_fix.py +++ b/libs/langchain/tests/unit_tests/output_parsers/test_fix.py @@ -50,7 +50,7 @@ def test_output_fixing_parser_parse( base_parser.attemp_count_before_success ) # Success on the (n+1)-th attempt # noqa base_parser = SuccessfulParseAfterRetries(attemp_count_before_success=n) - parser = OutputFixingParser( + parser = OutputFixingParser[str]( parser=base_parser, max_retries=n, # n times to retry, that is, (n+1) times call retry_chain=RunnablePassthrough(), @@ -94,7 +94,7 @@ async def test_output_fixing_parser_aparse( base_parser.attemp_count_before_success ) # Success on the (n+1)-th attempt # noqa base_parser = SuccessfulParseAfterRetries(attemp_count_before_success=n) - parser = OutputFixingParser( + parser = OutputFixingParser[str]( parser=base_parser, max_retries=n, # n times to retry, that is, (n+1) times call retry_chain=RunnablePassthrough(), @@ -108,7 +108,7 @@ async def test_output_fixing_parser_aparse( def test_output_fixing_parser_parse_fail() -> None: n: int = 5 # Success on the (n+1)-th attempt base_parser = SuccessfulParseAfterRetries(attemp_count_before_success=n) - parser = OutputFixingParser( + parser = OutputFixingParser[str]( parser=base_parser, max_retries=n - 1, # n-1 times to retry, that is, n times call retry_chain=RunnablePassthrough(), @@ -122,7 +122,7 @@ def test_output_fixing_parser_parse_fail() -> None: async def test_output_fixing_parser_aparse_fail() -> None: n: int = 5 # Success on the (n+1)-th attempt base_parser = SuccessfulParseAfterRetries(attemp_count_before_success=n) - parser = OutputFixingParser( + parser = OutputFixingParser[str]( parser=base_parser, max_retries=n - 1, # n-1 times to retry, that is, n times call retry_chain=RunnablePassthrough(), @@ -143,7 +143,9 @@ async def test_output_fixing_parser_aparse_fail() -> None: def test_output_fixing_parser_output_type( base_parser: BaseOutputParser, ) -> None: - parser = OutputFixingParser(parser=base_parser, retry_chain=RunnablePassthrough()) + parser = OutputFixingParser[str]( + parser=base_parser, retry_chain=RunnablePassthrough() + ) assert parser.OutputType is base_parser.OutputType @@ -176,7 +178,7 @@ def test_output_fixing_parser_parse_with_retry_chain( instructions = base_parser.get_format_instructions() object.__setattr__(base_parser, "get_format_instructions", lambda: instructions) # test - parser = OutputFixingParser( + parser = OutputFixingParser[str]( parser=base_parser, retry_chain=retry_chain, legacy=False, @@ -212,7 +214,7 @@ async def test_output_fixing_parser_aparse_with_retry_chain( instructions = base_parser.get_format_instructions() object.__setattr__(base_parser, "get_format_instructions", lambda: instructions) # test - parser = OutputFixingParser( + parser = OutputFixingParser[str]( parser=base_parser, retry_chain=retry_chain, legacy=False, From 5f205120ac1ac9af74517c1828de3d6011392762 Mon Sep 17 00:00:00 2001 From: Eugene Yurtsev Date: Fri, 22 Nov 2024 22:13:01 -0500 Subject: [PATCH 18/18] x --- libs/langchain/langchain/chains/moderation.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/libs/langchain/langchain/chains/moderation.py b/libs/langchain/langchain/chains/moderation.py index 52590a597c0c3..9467b8894c12b 100644 --- a/libs/langchain/langchain/chains/moderation.py +++ b/libs/langchain/langchain/chains/moderation.py @@ -38,7 +38,7 @@ class OpenAIModerationChain(Chain): output_key: str = "output" #: :meta private: openai_api_key: Optional[str] = None openai_organization: Optional[str] = None - openai_pre_1_0: bool = Field(default=None) + openai_pre_1_0: bool = Field(default=False) @model_validator(mode="before") @classmethod