Use Run object from SDK (#6067)

Update the Run object in the tracer to extend that in the SDK to include
the parameters necessary for tracking/tracing

langchain/callbacks/tracers/langchain.py

@@ -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
 

langchain/callbacks/tracers/schemas.py

@@ -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):
+class Run(BaseRunV2):
-    """Enum for run types."""
+    """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]
+    child_execution_order: 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_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",
+]

poetry.lock

@@ -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-0.0.9-py3-none-any.whl", hash = "sha256:4fe1a60f28c93ae0e145dcd53e4dc5293374ed0a8518abcc51e201081809bf0b"},
-    {file = "langchainplus_sdk-0.0.7.tar.gz", hash = "sha256:b58565bdcaf301d2e6e7dd8898f0b8ccf549a35476258e0c14d871d6de02d210"},
+    {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"]
+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-identity", "azure-cosmos", "openai", "azure-core", "azure-ai-formrecognizer", "azure-ai-vision", "azure-cognitiveservices-speech", "azure-search-documents"]
+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"]
+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", "openai", "openlm", "nlpcloud", "huggingface_hub", "manifest-ml", "torch", "transformers"]
+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"

pyproject.toml

@@ -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}
 

tests/unit_tests/callbacks/test_callback_manager.py

@@ -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(),

tests/unit_tests/callbacks/test_schemas.py

@@ -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
+        )