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Use Run object from SDK (#6067)

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Update the Run object in the tracer to extend that in the SDK to include
the parameters necessary for tracking/tracing
searx_updates
Zander Chase 11 months ago committed by GitHub
parent cde1e8739a
commit 0c52275bdb
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
6 changed files with 64 additions and 63 deletions
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6
langchain/callbacks/tracers/langchain.py
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@ -11,7 +11,11 @@ from uuid import UUID
from langchainplus_sdk import LangChainPlusClient
from langchain.callbacks.tracers.base import BaseTracer
from langchain.callbacks.tracers.schemas import Run, RunTypeEnum, TracerSession
from langchain.callbacks.tracers.schemas import (
Run,
RunTypeEnum,
TracerSession,
)
from langchain.env import get_runtime_environment
from langchain.schema import BaseMessage, messages_to_dict

70
langchain/callbacks/tracers/schemas.py
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@ -2,13 +2,13 @@
from __future__ import annotations
import datetime
from enum import Enum
from typing import Any, Dict, List, Optional
from uuid import UUID
from langchainplus_sdk.schemas import RunBase as BaseRunV2
from langchainplus_sdk.schemas import RunTypeEnum
from pydantic import BaseModel, Field, root_validator
from langchain.env import get_runtime_environment
from langchain.schema import LLMResult
@ -88,36 +88,11 @@ class ToolRun(BaseRun):
# Begin V2 API Schemas
class RunTypeEnum(str, Enum):
"""Enum for run types."""
class Run(BaseRunV2):
"""Run schema for the V2 API in the Tracer."""
tool = "tool"
chain = "chain"
llm = "llm"
class RunBase(BaseModel):
"""Base Run schema."""
id: Optional[UUID]
start_time: datetime.datetime = Field(default_factory=datetime.datetime.utcnow)
end_time: datetime.datetime = Field(default_factory=datetime.datetime.utcnow)
extra: Optional[Dict[str, Any]] = None
error: Optional[str]
execution_order: int
child_execution_order: Optional[int]
serialized: dict
inputs: dict
outputs: Optional[dict]
reference_example_id: Optional[UUID]
run_type: RunTypeEnum
parent_run_id: Optional[UUID]
class Run(RunBase):
"""Run schema when loading from the DB."""
name: str
child_execution_order: int
child_runs: List[Run] = Field(default_factory=list)
@root_validator(pre=True)
@ -131,26 +106,19 @@ class Run(RunBase):
return values
class RunCreate(RunBase):
name: str
session_name: Optional[str] = None
@root_validator(pre=True)
def add_runtime_env(cls, values: Dict[str, Any]) -> Dict[str, Any]:
"""Add env info to the run."""
extra = values.get("extra", {})
extra["runtime"] = get_runtime_environment()
values["extra"] = extra
return values
class RunUpdate(BaseModel):
end_time: Optional[datetime.datetime]
error: Optional[str]
outputs: Optional[dict]
parent_run_id: Optional[UUID]
reference_example_id: Optional[UUID]
ChainRun.update_forward_refs()
ToolRun.update_forward_refs()
__all__ = [
"BaseRun",
"ChainRun",
"LLMRun",
"Run",
"RunTypeEnum",
"ToolRun",
"TracerSession",
"TracerSessionBase",
"TracerSessionV1",
"TracerSessionV1Base",
"TracerSessionV1Create",
]

18
poetry.lock generated
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@ -1,4 +1,4 @@
# This file is automatically @generated by Poetry and should not be changed by hand.
# This file is automatically @generated by Poetry 1.4.2 and should not be changed by hand.
[[package]]
name = "absl-py"
@ -4058,14 +4058,14 @@ tests = ["pytest", "pytest-mock"]
[[package]]
name = "langchainplus-sdk"
version = "0.0.7"
version = "0.0.9"
description = "Client library to connect to the LangChainPlus LLM Tracing and Evaluation Platform."
category = "main"
optional = false
python-versions = ">=3.8.1,<4.0"
files = [
{file = "langchainplus_sdk-0.0.7-py3-none-any.whl", hash = "sha256:aefc471058648bf9fc51f659117d33ef905d25a304d5a021f7e32c30f5921076"},
{file = "langchainplus_sdk-0.0.7.tar.gz", hash = "sha256:b58565bdcaf301d2e6e7dd8898f0b8ccf549a35476258e0c14d871d6de02d210"},
{file = "langchainplus_sdk-0.0.9-py3-none-any.whl", hash = "sha256:4fe1a60f28c93ae0e145dcd53e4dc5293374ed0a8518abcc51e201081809bf0b"},
{file = "langchainplus_sdk-0.0.9.tar.gz", hash = "sha256:bbfdc54c64df5ca4334068ab2d7b89d3a894f313b1285939b4c4532fea62eeb7"},
]
[package.dependencies]
@ -11472,13 +11472,13 @@ cffi = {version = ">=1.11", markers = "platform_python_implementation == \"PyPy\
cffi = ["cffi (>=1.11)"]
[extras]
all = ["anthropic", "cohere", "openai", "nlpcloud", "huggingface_hub", "jina", "manifest-ml", "elasticsearch", "opensearch-py", "google-search-results", "faiss-cpu", "sentence-transformers", "transformers", "spacy", "nltk", "wikipedia", "beautifulsoup4", "tiktoken", "torch", "jinja2", "pinecone-client", "pinecone-text", "pymongo", "weaviate-client", "redis", "google-api-python-client", "google-auth", "wolframalpha", "qdrant-client", "tensorflow-text", "pypdf", "networkx", "nomic", "aleph-alpha-client", "deeplake", "pgvector", "psycopg2-binary", "pyowm", "pytesseract", "html2text", "atlassian-python-api", "gptcache", "duckduckgo-search", "arxiv", "azure-identity", "clickhouse-connect", "azure-cosmos", "lancedb", "langkit", "lark", "pexpect", "pyvespa", "O365", "jq", "docarray", "steamship", "pdfminer-six", "lxml", "requests-toolbelt", "neo4j", "openlm", "azure-ai-formrecognizer", "azure-ai-vision", "azure-cognitiveservices-speech", "momento", "singlestoredb", "tigrisdb", "nebula3-python", "awadb"]
azure = ["azure-identity", "azure-cosmos", "openai", "azure-core", "azure-ai-formrecognizer", "azure-ai-vision", "azure-cognitiveservices-speech", "azure-search-documents"]
all = ["O365", "aleph-alpha-client", "anthropic", "arxiv", "atlassian-python-api", "awadb", "azure-ai-formrecognizer", "azure-ai-vision", "azure-cognitiveservices-speech", "azure-cosmos", "azure-identity", "beautifulsoup4", "clickhouse-connect", "cohere", "deeplake", "docarray", "duckduckgo-search", "elasticsearch", "faiss-cpu", "google-api-python-client", "google-auth", "google-search-results", "gptcache", "html2text", "huggingface_hub", "jina", "jinja2", "jq", "lancedb", "langkit", "lark", "lxml", "manifest-ml", "momento", "nebula3-python", "neo4j", "networkx", "nlpcloud", "nltk", "nomic", "openai", "openlm", "opensearch-py", "pdfminer-six", "pexpect", "pgvector", "pinecone-client", "pinecone-text", "psycopg2-binary", "pymongo", "pyowm", "pypdf", "pytesseract", "pyvespa", "qdrant-client", "redis", "requests-toolbelt", "sentence-transformers", "singlestoredb", "spacy", "steamship", "tensorflow-text", "tigrisdb", "tiktoken", "torch", "transformers", "weaviate-client", "wikipedia", "wolframalpha"]
azure = ["azure-ai-formrecognizer", "azure-ai-vision", "azure-cognitiveservices-speech", "azure-core", "azure-cosmos", "azure-identity", "azure-search-documents", "openai"]
cohere = ["cohere"]
docarray = ["docarray"]
embeddings = ["sentence-transformers"]
extended-testing = ["beautifulsoup4", "bibtexparser", "chardet", "jq", "pdfminer-six", "pypdf", "pymupdf", "pypdfium2", "tqdm", "lxml", "atlassian-python-api", "beautifulsoup4", "pandas", "telethon", "psychicapi", "zep-python", "gql", "requests-toolbelt", "html2text", "py-trello", "scikit-learn", "pyspark", "openai"]
llms = ["anthropic", "cohere", "openai", "openlm", "nlpcloud", "huggingface_hub", "manifest-ml", "torch", "transformers"]
extended-testing = ["atlassian-python-api", "beautifulsoup4", "beautifulsoup4", "bibtexparser", "chardet", "gql", "html2text", "jq", "lxml", "openai", "pandas", "pdfminer-six", "psychicapi", "py-trello", "pymupdf", "pypdf", "pypdfium2", "pyspark", "requests-toolbelt", "scikit-learn", "telethon", "tqdm", "zep-python"]
llms = ["anthropic", "cohere", "huggingface_hub", "manifest-ml", "nlpcloud", "openai", "openlm", "torch", "transformers"]
openai = ["openai", "tiktoken"]
qdrant = ["qdrant-client"]
text-helpers = ["chardet"]
@ -11486,4 +11486,4 @@ text-helpers = ["chardet"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.8.1,<4.0"
content-hash = "17e9c7a2ae2d0ef7cf45bc232ebeb7fd3eee2760bb2a19b34a63dcddafd3e4ad"
content-hash = "b4a782d8223ccc19b2dfb777978c3ad636b11a79cc58a5c45e4dcdb0fe5e29c1"

2
pyproject.toml
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@ -105,7 +105,7 @@ singlestoredb = {version = "^0.6.1", optional = true}
pyspark = {version = "^3.4.0", optional = true}
tigrisdb = {version = "^1.0.0b6", optional = true}
nebula3-python = {version = "^3.4.0", optional = true}
langchainplus-sdk = ">=0.0.7"
langchainplus-sdk = ">=0.0.9"
awadb = {version = "^0.3.2", optional = true}
azure-search-documents = {version = "11.4.0a20230509004", source = "azure-sdk-dev", optional = true}

4
tests/unit_tests/callbacks/test_callback_manager.py
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@ -203,8 +203,10 @@ def test_callback_manager_inheritance() -> None:
assert child_manager2.inheritable_handlers == [handler1]
def test_callback_manager_configure() -> None:
def test_callback_manager_configure(monkeypatch: pytest.MonkeyPatch) -> None:
"""Test callback manager configuration."""
monkeypatch.setenv("LANGCHAIN_TRACING_V2", "false")
monkeypatch.setenv("LANGCHAIN_TRACING", "false")
handler1, handler2, handler3, handler4 = (
FakeCallbackHandler(),
FakeCallbackHandler(),

27
tests/unit_tests/callbacks/test_schemas.py
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@ -0,0 +1,27 @@
import langchain.callbacks.tracers.schemas as schemas
from langchain.callbacks.tracers.schemas import __all__ as schemas_all
def test_public_api() -> None:
"""Test for changes in the public API."""
expected_all = [
"BaseRun",
"ChainRun",
"LLMRun",
"Run",
"RunTypeEnum",
"ToolRun",
"TracerSession",
"TracerSessionBase",
"TracerSessionV1",
"TracerSessionV1Base",
"TracerSessionV1Create",
]
assert sorted(schemas_all) == expected_all
# Assert that the object is actually present in the schema module
for module_name in expected_all:
assert (
hasattr(schemas, module_name) and getattr(schemas, module_name) is not None
)
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