From f877637b948b29d63241d1a63b0032cbf2a9c8ff Mon Sep 17 00:00:00 2001 From: Joel Alexander Date: Sun, 4 Aug 2024 14:47:11 -0400 Subject: [PATCH 1/8] langchain integration upgrade --- .../trace_langchain_RAG_with_experiment.py | 38 +-- .../langchain/trace_langchain_rag_agents.py | 18 +- cookbook/langchain/trace_langchain_simple.py | 12 +- parea/parea_logger.py | 22 +- parea/utils/trace_integrations/langchain.py | 87 +++---- .../trace_integrations/langchain_utils.py | 219 ++++++++++++++++++ .../parea_langchain_client.py | 160 +++++++++++++ pyproject.toml | 2 +- 8 files changed, 465 insertions(+), 93 deletions(-) create mode 100644 parea/utils/trace_integrations/langchain_utils.py create mode 100644 parea/utils/trace_integrations/parea_langchain_client.py diff --git a/cookbook/langchain/trace_langchain_RAG_with_experiment.py b/cookbook/langchain/trace_langchain_RAG_with_experiment.py index 9565f75d..01e2c5ee 100644 --- a/cookbook/langchain/trace_langchain_RAG_with_experiment.py +++ b/cookbook/langchain/trace_langchain_RAG_with_experiment.py @@ -1,5 +1,6 @@ import os from datetime import datetime +from functools import lru_cache from operator import itemgetter from dotenv import load_dotenv @@ -30,22 +31,27 @@ pinecone = PineconeClient(api_key=os.getenv("PINECONE_API_KEY"), environment=os.getenv("PINECONE_ENVIRONMENT")) -class DocumentRetriever: - def __init__(self, url: str): - api_loader = RecursiveUrlLoader(url) - raw_documents = api_loader.load() +@lru_cache() +def get_docs(url): + api_loader = RecursiveUrlLoader(url) + raw_documents = api_loader.load() - # Transformer - doc_transformer = Html2TextTransformer() - transformed = doc_transformer.transform_documents(raw_documents) + # Transformer + doc_transformer = Html2TextTransformer() + transformed = doc_transformer.transform_documents(raw_documents) + + # Splitter + text_splitter = TokenTextSplitter( + model_name="gpt-3.5-turbo", + chunk_size=2000, + chunk_overlap=200, + ) + return text_splitter.split_documents(transformed) - # Splitter - text_splitter = TokenTextSplitter( - model_name="gpt-3.5-turbo", - chunk_size=2000, - chunk_overlap=200, - ) - documents = text_splitter.split_documents(transformed) + +class DocumentRetriever: + def __init__(self, url: str): + documents = get_docs(url) # Define vector store based embeddings = OpenAIEmbeddings() @@ -59,7 +65,7 @@ def get_retriever(self): class DocumentationChain: def __init__(self, url): retriever = DocumentRetriever(url).get_retriever() - model = ChatOpenAI(model="gpt-3.5-turbo-16k", temperature=0) + model = ChatOpenAI(model_name="gpt-4o-mini", temperature=0) prompt = ChatPromptTemplate.from_messages( [ ( @@ -148,7 +154,7 @@ def main(question: str) -> str: if __name__ == "__main__": p.experiment( - name="NYC_Wiki_RAG", + name="NYC_Wiki_RAG2", data=dataset, func=main, ).run() diff --git a/cookbook/langchain/trace_langchain_rag_agents.py b/cookbook/langchain/trace_langchain_rag_agents.py index f8ea8a6d..ad574090 100644 --- a/cookbook/langchain/trace_langchain_rag_agents.py +++ b/cookbook/langchain/trace_langchain_rag_agents.py @@ -1,15 +1,15 @@ import os from dotenv import load_dotenv -from langchain.agents.agent_toolkits import create_conversational_retrieval_agent, create_retriever_tool -from langchain.chat_models import ChatOpenAI -from langchain.document_loaders import TextLoader -from langchain.embeddings import OpenAIEmbeddings -from langchain.text_splitter import CharacterTextSplitter -from langchain.vectorstores import FAISS +from langchain.agents.agent_toolkits import create_conversational_retrieval_agent +from langchain_community.document_loaders import TextLoader +from langchain_community.vectorstores import FAISS +from langchain_core.tools import create_retriever_tool +from langchain_openai import ChatOpenAI, OpenAIEmbeddings +from langchain_text_splitters import CharacterTextSplitter from parea import Parea -from parea.utils.trace_integrations.langchain import PareaAILangchainTracer +from parea.utils.trace_integrations.langchain import PareaAILangchainTracer2 load_dotenv() @@ -38,7 +38,9 @@ def main(): - result = agent_executor({"input": "what did the president say about kentaji brown jackson in the most recent state of the union?"}, callbacks=[PareaAILangchainTracer()]) + result = agent_executor.invoke( + {"input": "what did the president say about kentaji brown jackson in the most recent state of the union?"}, config={"callbacks": [PareaAILangchainTracer2()]} + ) print(result) diff --git a/cookbook/langchain/trace_langchain_simple.py b/cookbook/langchain/trace_langchain_simple.py index e5530c5c..c94f0953 100644 --- a/cookbook/langchain/trace_langchain_simple.py +++ b/cookbook/langchain/trace_langchain_simple.py @@ -1,4 +1,3 @@ -import asyncio import os from dotenv import load_dotenv @@ -33,6 +32,15 @@ async def amain(): ) +def struc_main(): + for chunk in llm.stream( + "what color is the sky?", + config={"callbacks": [handler]}, + ): + print(chunk.content, end=" ", flush=True) + + if __name__ == "__main__": print(main()) - print(asyncio.run(amain())) + # print(asyncio.run(amain())) + # struc_main() diff --git a/parea/parea_logger.py b/parea/parea_logger.py index bc90780f..6ba8dc05 100644 --- a/parea/parea_logger.py +++ b/parea/parea_logger.py @@ -1,14 +1,12 @@ -from typing import Any, Dict, Optional +from typing import Optional import json import logging -import os from attrs import asdict, define, field from cattrs import structure from parea.api_client import HTTPClient -from parea.constants import PAREA_OS_ENV_EXPERIMENT_UUID from parea.helpers import serialize_metadata_values from parea.schemas.log import TraceIntegrations from parea.schemas.models import CreateGetProjectResponseSchema, TraceLog, UpdateLog @@ -33,7 +31,7 @@ def set_project_uuid(self, project_uuid: str, project_name: str) -> None: self._project_uuid = project_uuid self._project_name = project_name - def _get_project_uuid(self) -> Optional[str]: + def get_project_uuid(self) -> Optional[str]: if not self._project_uuid: self._project_uuid = self._create_or_get_project(self._project_name or "default").uuid try: @@ -60,7 +58,7 @@ def update_log(self, data: UpdateLog) -> None: def record_log(self, data: TraceLog) -> None: data = serialize_metadata_values(data) - data.project_uuid = self._get_project_uuid() + data.project_uuid = self.get_project_uuid() self._client.request( "POST", LOG_ENDPOINT, @@ -82,26 +80,20 @@ def default_log(self, data: TraceLog) -> None: data.target = json_dumps(data.target) self.record_log(data) - def record_vendor_log(self, data: Dict[str, Any], vendor: TraceIntegrations) -> None: - data["project_uuid"] = self._get_project_uuid() - if experiment_uuid := os.getenv(PAREA_OS_ENV_EXPERIMENT_UUID, None): - data["experiment_uuid"] = experiment_uuid + def record_vendor_log(self, data: bytes, vendor: TraceIntegrations) -> None: self._client.add_integration("langchain") self._client.request( "POST", VENDOR_LOG_ENDPOINT.format(vendor=vendor.value), - data=json.loads(json_dumps(data)), # uuid is not serializable + data=json.loads(data), # uuid is not serializable ) - async def arecord_vendor_log(self, data: Dict[str, Any], vendor: TraceIntegrations) -> None: - data["project_uuid"] = self._get_project_uuid() - if experiment_uuid := os.getenv(PAREA_OS_ENV_EXPERIMENT_UUID, None): - data["experiment_uuid"] = experiment_uuid + async def arecord_vendor_log(self, data: bytes, vendor: TraceIntegrations) -> None: self._client.add_integration("langchain") await self._client.request_async( "POST", VENDOR_LOG_ENDPOINT.format(vendor=vendor.value), - data=json.loads(json_dumps(data)), # uuid is not serializable + data=json.loads(data), # uuid is not serializable ) diff --git a/parea/utils/trace_integrations/langchain.py b/parea/utils/trace_integrations/langchain.py index 9c4aac27..ac8a5b80 100644 --- a/parea/utils/trace_integrations/langchain.py +++ b/parea/utils/trace_integrations/langchain.py @@ -1,29 +1,22 @@ -from typing import Any, Dict, List, Optional, Union +from __future__ import annotations + +from typing import Any, Dict, List, Optional import logging -from uuid import UUID -from langchain_core.tracers import BaseTracer -from langchain_core.tracers.schemas import ChainRun, LLMRun, Run, ToolRun +from langchain_core.tracers import LangChainTracer +from langchain_core.tracers.schemas import Run -from parea.helpers import is_logging_disabled -from parea.parea_logger import parea_logger +from parea import get_current_trace_id, get_root_trace_id from parea.schemas import UpdateTraceScenario -from parea.schemas.log import TraceIntegrations -from parea.utils.trace_utils import fill_trace_data, get_current_trace_id, get_root_trace_id +from parea.utils.trace_integrations.parea_langchain_client import PareaLangchainClient +from parea.utils.trace_utils import fill_trace_data, trace_data logger = logging.getLogger() -class PareaAILangchainTracer(BaseTracer): - parent_trace_id: UUID - _parea_root_trace_id: str = None - _parea_parent_trace_id: str = None - _session_id: Optional[str] = None - _tags: List[str] = [] - _metadata: Dict[str, Any] = {} - _end_user_identifier: Optional[str] = None - _deployment_id: Optional[str] = None +class PareaAILangchainTracer(LangChainTracer): + """Base callback handler that can be used to handle callbacks from langchain.""" def __init__( self, @@ -33,46 +26,38 @@ def __init__( end_user_identifier: Optional[str] = None, deployment_id: Optional[str] = None, **kwargs: Any, - ): + ) -> None: + """Initialize the Parea tracer.""" super().__init__(**kwargs) - self._session_id = session_id - self._end_user_identifier = end_user_identifier - self._deployment_id = deployment_id - if tags: - self._tags = tags - if metadata: - self._metadata = metadata - - def _persist_run(self, run: Union[Run, LLMRun, ChainRun, ToolRun]) -> None: - if is_logging_disabled(): - return - self.parent_trace_id = run.id - # using .dict() since langchain Run class currently set to Pydantic v1 - data = run.dict() - data["_parea_root_trace_id"] = self._parea_root_trace_id or None - data["_session_id"] = self._session_id - data["_tags"] = self._tags - data["_metadata"] = self._metadata - data["_end_user_identifier"] = self._end_user_identifier - data["_deployment_id"] = self._deployment_id - # check if run has an attribute execution order - if (hasattr(run, "execution_order") and run.execution_order == 1) or run.parent_run_id is None: - data["_parea_parent_trace_id"] = self._parea_parent_trace_id or None - parea_logger.record_vendor_log(data, TraceIntegrations.LANGCHAIN) + self.client = PareaLangchainClient(session_id, tags, metadata, end_user_identifier, deployment_id) + self.is_streaming = False - def get_parent_trace_id(self) -> UUID: - return self.parent_trace_id + def _persist_run(self, run: Run) -> None: + self._set_parea_root_and_parent_trace_id(run) + if self.is_streaming: + self.client.stream_log(run) + else: + self.client.log() def _on_run_create(self, run: Run) -> None: + self.client.create_run2(run) + + def _on_run_update(self, run: Run) -> None: + self.client.update_run2(run) + + def on_llm_new_token(self, *args: Any, **kwargs: Any): + super().on_llm_new_token(*args, **kwargs) + self.is_streaming = True + + def _set_parea_root_and_parent_trace_id(self, run) -> None: if (hasattr(run, "execution_order") and run.execution_order == 1) or run.parent_run_id is None: # need to check if any traces already exist - self._parea_root_trace_id = get_root_trace_id() + _parea_root_trace_id = get_root_trace_id() + _parea_parent_trace_id = None + _experiment_uuid = None if parent_trace_id := get_current_trace_id(): - self._parea_parent_trace_id = parent_trace_id + _parea_parent_trace_id = parent_trace_id + _experiment_uuid = trace_data.get()[parent_trace_id].experiment_uuid fill_trace_data(str(run.id), {"parent_trace_id": parent_trace_id}, UpdateTraceScenario.LANGCHAIN_CHILD) - def _on_llm_end(self, run: Run) -> None: - self._persist_run(run) - - def _on_chain_end(self, run: Run) -> None: - self._persist_run(run) + self.client.set_parea_root_and_parent_trace_id(_parea_root_trace_id, _parea_parent_trace_id, _experiment_uuid) diff --git a/parea/utils/trace_integrations/langchain_utils.py b/parea/utils/trace_integrations/langchain_utils.py new file mode 100644 index 00000000..1743cfa8 --- /dev/null +++ b/parea/utils/trace_integrations/langchain_utils.py @@ -0,0 +1,219 @@ +from __future__ import annotations + +from typing import Any, Callable, Dict, List, Optional, TypedDict, TypeVar, Union + +import copy +import datetime +import functools +import json +import logging +import re +import uuid +from enum import Enum + +from orjson import orjson + +logger = logging.getLogger() + + +ID_TYPE = Union[uuid.UUID, str] +_MAX_DEPTH = 2 + + +class RunTypeEnum(str, Enum): + """(Deprecated) Enum for run types. Use string directly.""" + + tool = "tool" + chain = "chain" + llm = "llm" + retriever = "retriever" + embedding = "embedding" + prompt = "prompt" + parser = "parser" + + +class RunLikeDict(TypedDict, total=False): + """Run-like dictionary, for type-hinting.""" + + name: str + run_type: RunTypeEnum + start_time: datetime + inputs: Optional[dict] + outputs: Optional[dict] + end_time: Optional[datetime] + extra: Optional[dict] + error: Optional[str] + serialized: Optional[dict] + parent_run_id: Optional[uuid.UUID] + manifest_id: Optional[uuid.UUID] + events: Optional[List[dict]] + tags: Optional[List[str]] + inputs_s3_urls: Optional[dict] + outputs_s3_urls: Optional[dict] + id: Optional[uuid.UUID] + session_id: Optional[uuid.UUID] + session_name: Optional[str] + reference_example_id: Optional[uuid.UUID] + input_attachments: Optional[dict] + output_attachments: Optional[dict] + trace_id: uuid.UUID + dotted_order: str + + +def _as_uuid(value: ID_TYPE, var: Optional[str] = None) -> uuid.UUID: + try: + return uuid.UUID(value) if not isinstance(value, uuid.UUID) else value + except ValueError as e: + var = var or "value" + raise Exception(f"{var} must be a valid UUID or UUID string. Got {value}") from e + + +def _simple_default(obj: Any) -> Any: + # Don't traverse into nested objects + try: + if isinstance(obj, datetime.datetime): + return obj.isoformat() + if isinstance(obj, uuid.UUID): + return str(obj) + return json.loads(json.dumps(obj)) + except BaseException as e: + logger.debug(f"Failed to serialize {type(obj)} to JSON: {e}") + return repr(obj) + + +def _serialize_json(obj: Any, depth: int = 0, serialize_py: bool = True) -> Any: + try: + if depth >= _MAX_DEPTH: + try: + return orjson.loads(_dumps_json_single(obj)) + except BaseException: + return repr(obj) + if isinstance(obj, bytes): + return obj.decode("utf-8") + if isinstance(obj, (set, tuple)): + return orjson.loads(_dumps_json_single(list(obj))) + + serialization_methods = [ + ("model_dump_json", True), # Pydantic V2 + ("json", True), # Pydantic V1 + ("to_json", False), # dataclass_json + ("model_dump", True), # Pydantic V2 with non-serializable fields + ("dict", False), # Pydantic V1 with non-serializable fields + ] + for attr, exclude_none in serialization_methods: + if hasattr(obj, attr) and callable(getattr(obj, attr)): + try: + method = getattr(obj, attr) + json_str = method(exclude_none=exclude_none) if exclude_none else method() + if isinstance(json_str, str): + return json.loads(json_str) + return orjson.loads(_dumps_json(json_str, depth=depth + 1, serialize_py=serialize_py)) + except Exception as e: + logger.debug(f"Failed to serialize {type(obj)} to JSON: {e}") + pass + if serialize_py: + all_attrs = {} + if hasattr(obj, "__slots__"): + all_attrs.update({slot: getattr(obj, slot, None) for slot in obj.__slots__}) + if hasattr(obj, "__dict__"): + all_attrs.update(vars(obj)) + if all_attrs: + filtered = {k: v if v is not obj else repr(v) for k, v in all_attrs.items()} + return orjson.loads(_dumps_json(filtered, depth=depth + 1, serialize_py=serialize_py)) + return repr(obj) + except BaseException as e: + logger.debug(f"Failed to serialize {type(obj)} to JSON: {e}") + return repr(obj) + + +def _elide_surrogates(s: bytes) -> bytes: + pattern = re.compile(rb"\\ud[89a-f][0-9a-f]{2}", re.IGNORECASE) + result = pattern.sub(b"", s) + return result + + +def _dumps_json_single(obj: Any, default: Optional[Callable[[Any], Any]] = None) -> bytes: + try: + return orjson.dumps( + obj, + default=default, + option=orjson.OPT_SERIALIZE_NUMPY | orjson.OPT_SERIALIZE_DATACLASS | orjson.OPT_SERIALIZE_UUID | orjson.OPT_NON_STR_KEYS, + ) + except TypeError as e: + # Usually caused by UTF surrogate characters + logger.debug(f"Orjson serialization failed: {repr(e)}. Falling back to json.") + result = json.dumps( + obj, + default=_simple_default, + ensure_ascii=True, + ).encode("utf-8") + try: + result = orjson.dumps(orjson.loads(result.decode("utf-8", errors="surrogateescape"))) + except orjson.JSONDecodeError: + result = _elide_surrogates(result) + return result + + +def _dumps_json(obj: Any, depth: int = 0, serialize_py: bool = True) -> bytes: + """Serialize an object to a JSON formatted string. + + Parameters + ---------- + obj : Any + The object to serialize. + default : Callable[[Any], Any] or None, default=None + The default function to use for serialization. + + Returns: + ------- + str + The JSON formatted string. + """ + return _dumps_json_single(obj, functools.partial(_serialize_json, depth=depth, serialize_py=serialize_py)) + + +T = TypeVar("T") + + +def _middle_copy(val: T, memo: Dict[int, Any], max_depth: int = 4, _depth: int = 0) -> T: + cls = type(val) + + copier = getattr(cls, "__deepcopy__", None) + if copier is not None: + try: + return copier(memo) + except BaseException: + pass + if _depth >= max_depth: + return val + if isinstance(val, dict): + return {_middle_copy(k, memo, max_depth, _depth + 1): _middle_copy(v, memo, max_depth, _depth + 1) for k, v in val.items()} # type: ignore[return-value] + if isinstance(val, list): + return [_middle_copy(item, memo, max_depth, _depth + 1) for item in val] # type: ignore[return-value] + if isinstance(val, tuple): + return tuple(_middle_copy(item, memo, max_depth, _depth + 1) for item in val) # type: ignore[return-value] + if isinstance(val, set): + return {_middle_copy(item, memo, max_depth, _depth + 1) for item in val} # type: ignore[return-value] + + return val + + +def deepish_copy(val: T) -> T: + """Deep copy a value with a compromise for uncopyable objects. + + Args: + val: The value to be deep copied. + + Returns: + The deep copied value. + """ + memo: Dict[int, Any] = {} + try: + return copy.deepcopy(val, memo) + except BaseException as e: + # Generators, locks, etc. cannot be copied + # and raise a TypeError (mentioning pickling, since the dunder methods) + # are re-used for copying. We'll try to do a compromise and copy + # what we can + logger.debug("Failed to deepcopy input: %s", repr(e)) + return _middle_copy(val, memo) diff --git a/parea/utils/trace_integrations/parea_langchain_client.py b/parea/utils/trace_integrations/parea_langchain_client.py new file mode 100644 index 00000000..ad9e8225 --- /dev/null +++ b/parea/utils/trace_integrations/parea_langchain_client.py @@ -0,0 +1,160 @@ +from typing import Any, Dict, List, Optional, Union, cast + +import datetime +import uuid + +from langchain_core.tracers.schemas import Run + +from parea.parea_logger import parea_logger +from parea.schemas.log import TraceIntegrations +from parea.utils.trace_integrations.langchain_utils import RunLikeDict, _as_uuid, _dumps_json, deepish_copy + + +class PareaLangchainClient: + created: List[RunLikeDict] = [] + updated: List[RunLikeDict] = [] + _parea_root_trace_id: Optional[str] = None + _parea_parent_trace_id: Optional[str] = None + _experiment_uuid: Optional[str] = None + + def __init__( + self, + session_id: Optional[str] = None, + tags: Optional[List[str]] = None, + metadata: Optional[Dict[str, Any]] = None, + end_user_identifier: Optional[str] = None, + deployment_id: Optional[str] = None, + ) -> None: + self.project_uuid: Optional[str] = parea_logger.get_project_uuid() + self._session_id = session_id + self._tags = tags + self._metadata = metadata + self._end_user_identifier = end_user_identifier + self._deployment_id = deployment_id + + def create_run(self, *args, **kwargs) -> None: + pass + + def create_run2(self, run: Run): + run_create = self._run_transform(run, copy=True) + self.created.append(run_create) + + @staticmethod + def _run_transform( + run: Union[Run, dict, RunLikeDict], + update: bool = False, + copy: bool = False, + for_log: bool = False, + ) -> dict: + """Transform the given run object into a dictionary representation. + + Args: + run (Union[ls_schemas.Run, dict]): The run object to transform. + update (bool, optional): Whether to update the run. Defaults to False. + copy (bool, optional): Whether to copy the run. Defaults to False. + + Returns: + dict: The transformed run object as a dictionary. + """ + if hasattr(run, "dict") and callable(getattr(run, "dict")): + run_create: dict = run.dict() + else: + run_create = cast(dict, run) + if "id" not in run_create: + run_create["id"] = uuid.uuid4() + elif isinstance(run_create["id"], str): + run_create["id"] = uuid.UUID(run_create["id"]) + if "inputs" in run_create and run_create["inputs"] is not None: + if copy: + run_create["inputs"] = deepish_copy(run_create["inputs"]) + run_create["inputs"] = run_create["inputs"] + if "outputs" in run_create and run_create["outputs"] is not None: + if copy: + run_create["outputs"] = deepish_copy(run_create["outputs"]) + run_create["outputs"] = run_create["outputs"] + if not update and not run_create.get("start_time"): + run_create["start_time"] = datetime.datetime.now(datetime.timezone.utc) + if not run_create.get("end_time", None) and for_log: + run_create["end_time"] = datetime.datetime.now(datetime.timezone.utc) + if not run_create.get("children", None): + run_create["children"] = [] + return run_create + + def update_run(self, *args, **kwargs) -> None: + pass + + def update_run2(self, run: Run) -> None: + run_update = self._run_transform(run, update=True) + self.updated.append(run_update) + + def log(self): + create_dicts = [self._run_transform(run, for_log=True) for run in self.created or []] + update_dicts = [self._run_transform(run, update=True, for_log=True) for run in self.updated or []] + + root_id = "" + create_by_id = {run["id"]: run for run in create_dicts} + for run in create_dicts: + if not root_id and run["id"] == run["trace_id"]: + root_id = run["id"] + + parent_run_id = run.get("parent_run_id") + if parent_run_id and parent_run_id in create_by_id: + children = set(create_by_id[parent_run_id]["children"]) + children.add(str(run["id"])) + create_by_id[parent_run_id]["children"] = list(children) + + # combine post and patch dicts where possible + if update_dicts and create_dicts: + standalone_updates: list[dict] = [] + for run in update_dicts: + if run["id"] in create_by_id: + create_by_id[run["id"]].update({k: v for k, v in run.items() if v is not None}) + parent_run_id = run.get("parent_run_id") + if parent_run_id and parent_run_id in create_by_id: + children = set(create_by_id[parent_run_id]["children"]) + children.add(str(run["id"])) + create_by_id[parent_run_id]["children"] = list(children) + else: + standalone_updates.append(run) + update_dicts = standalone_updates + + root_trace = create_by_id.get(root_id, None) + root_output = root_trace.get("outputs", None) if root_trace else None + root_children = root_trace.get("children", []) if root_trace else [] + if not root_output and root_children: + root_output = create_by_id.get(_as_uuid(root_children[-1]), {}).get("outputs", None) + + for run in create_dicts: + if root_id == run["id"]: + run["outputs"] = root_output + + self.process_log(run) + if update_dicts: + print("update_dicts:", _dumps_json(update_dicts), "\n") + + def stream_log(self, run: Run) -> None: + streaming_run: dict = run.dict() if hasattr(run, "dict") and callable(getattr(run, "dict")) else cast(dict, run) + self.process_log(streaming_run) + + def process_log(self, run: dict) -> None: + run = self._fill_run_with_parea_trace_data(run) + parea_logger.record_vendor_log(_dumps_json(run), TraceIntegrations.LANGCHAIN) + + def set_parea_root_and_parent_trace_id(self, _parea_root_trace_id, _parea_parent_trace_id, _experiment_uuid) -> None: + self._parea_root_trace_id = _parea_root_trace_id + self._parea_parent_trace_id = _parea_parent_trace_id + self._experiment_uuid = _experiment_uuid + + def _fill_run_with_parea_trace_data(self, run: dict) -> dict: + if (run.get("execution_order", None) and run["execution_order"] == 1) or not run.get("parent_run_id", None): + run["_parea_parent_trace_id"] = self._parea_parent_trace_id or None + run["_session_id"] = self._session_id + run["_tags"] = self._tags + run["_metadata"] = self._metadata + run["_end_user_identifier"] = self._end_user_identifier + run["_deployment_id"] = self._deployment_id + + run["_parea_root_trace_id"] = self._parea_root_trace_id or None + run["project_uuid"] = self.project_uuid + run["experiment_uuid"] = self._experiment_uuid + return run diff --git a/pyproject.toml b/pyproject.toml index 0630276b..306372f7 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -6,7 +6,7 @@ build-backend = "poetry.core.masonry.api" [tool.poetry] name = "parea-ai" packages = [{ include = "parea" }] -version = "0.2.191" +version = "0.2.192" description = "Parea python sdk" readme = "README.md" authors = ["joel-parea-ai "] From d7247b93181a13c18c79a7042468fd9e0db8f813 Mon Sep 17 00:00:00 2001 From: Joel Alexander Date: Mon, 5 Aug 2024 12:30:26 -0400 Subject: [PATCH 2/8] langchain updates --- cookbook/__init__.py | 0 .../trace_langchain_RAG_with_experiment.py | 6 +-- cookbook/langchain/trace_langchain_simple.py | 6 +-- parea/utils/trace_integrations/langchain.py | 22 ++++++---- .../parea_langchain_client.py | 43 ++++++++----------- 5 files changed, 38 insertions(+), 39 deletions(-) create mode 100644 cookbook/__init__.py diff --git a/cookbook/__init__.py b/cookbook/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/cookbook/langchain/trace_langchain_RAG_with_experiment.py b/cookbook/langchain/trace_langchain_RAG_with_experiment.py index 01e2c5ee..53ee2efb 100644 --- a/cookbook/langchain/trace_langchain_RAG_with_experiment.py +++ b/cookbook/langchain/trace_langchain_RAG_with_experiment.py @@ -132,7 +132,7 @@ def get_chain(self): @trace( eval_funcs=[ # these are factory functions that return the actual evaluation functions, so we need to call them - answer_matches_target_llm_grader_factory(), + answer_matches_target_llm_grader_factory(model="gpt-4o-mini"), answer_context_faithfulness_binary_factory(), answer_context_faithfulness_statement_level_factory(), context_query_relevancy_factory(context_fields=["context"]), @@ -148,13 +148,13 @@ def main(question: str) -> str: # insert the context into the trace as an input so that it can be referenced in the evaluation functions # context needs to be retrieved after the chain is invoked trace_insert({"inputs": {"context": dc.get_context()}}) - print(output) + # print(output) return output if __name__ == "__main__": p.experiment( - name="NYC_Wiki_RAG2", + name="NYC_Wiki_RAG", data=dataset, func=main, ).run() diff --git a/cookbook/langchain/trace_langchain_simple.py b/cookbook/langchain/trace_langchain_simple.py index c94f0953..ac616f44 100644 --- a/cookbook/langchain/trace_langchain_simple.py +++ b/cookbook/langchain/trace_langchain_simple.py @@ -1,3 +1,4 @@ +import asyncio import os from dotenv import load_dotenv @@ -32,7 +33,7 @@ async def amain(): ) -def struc_main(): +def stream_main(): for chunk in llm.stream( "what color is the sky?", config={"callbacks": [handler]}, @@ -42,5 +43,4 @@ def struc_main(): if __name__ == "__main__": print(main()) - # print(asyncio.run(amain())) - # struc_main() + print(asyncio.run(amain())) diff --git a/parea/utils/trace_integrations/langchain.py b/parea/utils/trace_integrations/langchain.py index ac8a5b80..8dc764be 100644 --- a/parea/utils/trace_integrations/langchain.py +++ b/parea/utils/trace_integrations/langchain.py @@ -3,11 +3,13 @@ from typing import Any, Dict, List, Optional import logging +from uuid import UUID from langchain_core.tracers import LangChainTracer from langchain_core.tracers.schemas import Run from parea import get_current_trace_id, get_root_trace_id +from parea.helpers import is_logging_disabled from parea.schemas import UpdateTraceScenario from parea.utils.trace_integrations.parea_langchain_client import PareaLangchainClient from parea.utils.trace_utils import fill_trace_data, trace_data @@ -18,6 +20,8 @@ class PareaAILangchainTracer(LangChainTracer): """Base callback handler that can be used to handle callbacks from langchain.""" + parent_trace_id: UUID + def __init__( self, session_id: Optional[str] = None, @@ -33,6 +37,9 @@ def __init__( self.is_streaming = False def _persist_run(self, run: Run) -> None: + if is_logging_disabled(): + return + self._set_parea_root_and_parent_trace_id(run) if self.is_streaming: self.client.stream_log(run) @@ -40,24 +47,23 @@ def _persist_run(self, run: Run) -> None: self.client.log() def _on_run_create(self, run: Run) -> None: - self.client.create_run2(run) + self.client.create_run_trace(run) def _on_run_update(self, run: Run) -> None: - self.client.update_run2(run) + self.client.update_run_trace(run) def on_llm_new_token(self, *args: Any, **kwargs: Any): super().on_llm_new_token(*args, **kwargs) self.is_streaming = True def _set_parea_root_and_parent_trace_id(self, run) -> None: + self.parent_trace_id = run.id if (hasattr(run, "execution_order") and run.execution_order == 1) or run.parent_run_id is None: - # need to check if any traces already exist - _parea_root_trace_id = get_root_trace_id() - _parea_parent_trace_id = None - _experiment_uuid = None if parent_trace_id := get_current_trace_id(): - _parea_parent_trace_id = parent_trace_id _experiment_uuid = trace_data.get()[parent_trace_id].experiment_uuid fill_trace_data(str(run.id), {"parent_trace_id": parent_trace_id}, UpdateTraceScenario.LANGCHAIN_CHILD) + langchain_to_parea_root_data = {run.id: {"parent_trace_id": parent_trace_id, "root_trace_id": get_root_trace_id(), "experiment_uuid": _experiment_uuid}} + self.client.set_parea_root_and_parent_trace_id(langchain_to_parea_root_data) - self.client.set_parea_root_and_parent_trace_id(_parea_root_trace_id, _parea_parent_trace_id, _experiment_uuid) + def get_parent_trace_id(self) -> UUID: + return self.parent_trace_id diff --git a/parea/utils/trace_integrations/parea_langchain_client.py b/parea/utils/trace_integrations/parea_langchain_client.py index ad9e8225..0d1ca418 100644 --- a/parea/utils/trace_integrations/parea_langchain_client.py +++ b/parea/utils/trace_integrations/parea_langchain_client.py @@ -13,9 +13,7 @@ class PareaLangchainClient: created: List[RunLikeDict] = [] updated: List[RunLikeDict] = [] - _parea_root_trace_id: Optional[str] = None - _parea_parent_trace_id: Optional[str] = None - _experiment_uuid: Optional[str] = None + _langchain_to_parea_root_data: Dict[str, Dict[str, str]] = {} def __init__( self, @@ -35,7 +33,7 @@ def __init__( def create_run(self, *args, **kwargs) -> None: pass - def create_run2(self, run: Run): + def create_run_trace(self, run: Run): run_create = self._run_transform(run, copy=True) self.created.append(run_create) @@ -47,12 +45,10 @@ def _run_transform( for_log: bool = False, ) -> dict: """Transform the given run object into a dictionary representation. - Args: run (Union[ls_schemas.Run, dict]): The run object to transform. update (bool, optional): Whether to update the run. Defaults to False. copy (bool, optional): Whether to copy the run. Defaults to False. - Returns: dict: The transformed run object as a dictionary. """ @@ -83,7 +79,7 @@ def _run_transform( def update_run(self, *args, **kwargs) -> None: pass - def update_run2(self, run: Run) -> None: + def update_run_trace(self, run: Run) -> None: run_update = self._run_transform(run, update=True) self.updated.append(run_update) @@ -99,9 +95,9 @@ def log(self): parent_run_id = run.get("parent_run_id") if parent_run_id and parent_run_id in create_by_id: - children = set(create_by_id[parent_run_id]["children"]) - children.add(str(run["id"])) - create_by_id[parent_run_id]["children"] = list(children) + children = create_by_id[parent_run_id]["children"] + if str(run["id"]) not in children: + children.append(str(run["id"])) # combine post and patch dicts where possible if update_dicts and create_dicts: @@ -109,11 +105,6 @@ def log(self): for run in update_dicts: if run["id"] in create_by_id: create_by_id[run["id"]].update({k: v for k, v in run.items() if v is not None}) - parent_run_id = run.get("parent_run_id") - if parent_run_id and parent_run_id in create_by_id: - children = set(create_by_id[parent_run_id]["children"]) - children.add(str(run["id"])) - create_by_id[parent_run_id]["children"] = list(children) else: standalone_updates.append(run) update_dicts = standalone_updates @@ -129,32 +120,34 @@ def log(self): run["outputs"] = root_output self.process_log(run) + if update_dicts: - print("update_dicts:", _dumps_json(update_dicts), "\n") + for run in update_dicts: + self.process_log(run) def stream_log(self, run: Run) -> None: - streaming_run: dict = run.dict() if hasattr(run, "dict") and callable(getattr(run, "dict")) else cast(dict, run) + streaming_run: dict = self._run_transform(run, for_log=True) self.process_log(streaming_run) def process_log(self, run: dict) -> None: run = self._fill_run_with_parea_trace_data(run) parea_logger.record_vendor_log(_dumps_json(run), TraceIntegrations.LANGCHAIN) - def set_parea_root_and_parent_trace_id(self, _parea_root_trace_id, _parea_parent_trace_id, _experiment_uuid) -> None: - self._parea_root_trace_id = _parea_root_trace_id - self._parea_parent_trace_id = _parea_parent_trace_id - self._experiment_uuid = _experiment_uuid + def set_parea_root_and_parent_trace_id(self, langchain_to_parea_root_data: dict) -> None: + self._langchain_to_parea_root_data.update(langchain_to_parea_root_data) def _fill_run_with_parea_trace_data(self, run: dict) -> dict: - if (run.get("execution_order", None) and run["execution_order"] == 1) or not run.get("parent_run_id", None): - run["_parea_parent_trace_id"] = self._parea_parent_trace_id or None + is_root = (run.get("execution_order", None) and run["execution_order"] == 1) or not run.get("parent_run_id", None) + data = self._langchain_to_parea_root_data.get(run["id"] if is_root else run["trace_id"], {}) + if is_root: + run["parent_run_id"] = data.get("parent_trace_id", run["parent_run_id"]) run["_session_id"] = self._session_id run["_tags"] = self._tags run["_metadata"] = self._metadata run["_end_user_identifier"] = self._end_user_identifier run["_deployment_id"] = self._deployment_id - run["_parea_root_trace_id"] = self._parea_root_trace_id or None + run["trace_id"] = data.get("root_trace_id", run["trace_id"]) run["project_uuid"] = self.project_uuid - run["experiment_uuid"] = self._experiment_uuid + run["experiment_uuid"] = data.get("experiment_uuid") return run From ac1b2246e91c1f33fe9def3f9a8e9af732415087 Mon Sep 17 00:00:00 2001 From: Joel Alexander Date: Mon, 5 Aug 2024 12:40:30 -0400 Subject: [PATCH 3/8] langchain updates --- cookbook/langchain/trace_langchain_rag_agents.py | 8 +++----- 1 file changed, 3 insertions(+), 5 deletions(-) diff --git a/cookbook/langchain/trace_langchain_rag_agents.py b/cookbook/langchain/trace_langchain_rag_agents.py index ad574090..12fd4e12 100644 --- a/cookbook/langchain/trace_langchain_rag_agents.py +++ b/cookbook/langchain/trace_langchain_rag_agents.py @@ -9,12 +9,12 @@ from langchain_text_splitters import CharacterTextSplitter from parea import Parea -from parea.utils.trace_integrations.langchain import PareaAILangchainTracer2 +from parea.utils.trace_integrations.langchain import PareaAILangchainTracer load_dotenv() p = Parea(api_key=os.getenv("PAREA_API_KEY")) - +h = PareaAILangchainTracer() loader = TextLoader("../assets/data/state_of_the_union.txt") @@ -38,9 +38,7 @@ def main(): - result = agent_executor.invoke( - {"input": "what did the president say about kentaji brown jackson in the most recent state of the union?"}, config={"callbacks": [PareaAILangchainTracer2()]} - ) + result = agent_executor.invoke({"input": "what did the president say about kentaji brown jackson in the most recent state of the union?"}, config={"callbacks": [h]}) print(result) From c9eb5e266ceeb49ca07ccc726aac6521951d0854 Mon Sep 17 00:00:00 2001 From: Joel Alexander Date: Mon, 5 Aug 2024 12:43:33 -0400 Subject: [PATCH 4/8] langchain updates --- .../langchain/trace_langchain_rag_agents.py | 5 ++-- parea/utils/trace_integrations/langchain.py | 24 ++++++++++++------- 2 files changed, 19 insertions(+), 10 deletions(-) diff --git a/cookbook/langchain/trace_langchain_rag_agents.py b/cookbook/langchain/trace_langchain_rag_agents.py index 12fd4e12..cb91fa36 100644 --- a/cookbook/langchain/trace_langchain_rag_agents.py +++ b/cookbook/langchain/trace_langchain_rag_agents.py @@ -14,7 +14,6 @@ load_dotenv() p = Parea(api_key=os.getenv("PAREA_API_KEY")) -h = PareaAILangchainTracer() loader = TextLoader("../assets/data/state_of_the_union.txt") @@ -38,7 +37,9 @@ def main(): - result = agent_executor.invoke({"input": "what did the president say about kentaji brown jackson in the most recent state of the union?"}, config={"callbacks": [h]}) + result = agent_executor.invoke( + {"input": "what did the president say about kentaji brown jackson in the most recent state of the union?"}, config={"callbacks": [PareaAILangchainTracer()]} + ) print(result) diff --git a/parea/utils/trace_integrations/langchain.py b/parea/utils/trace_integrations/langchain.py index 8dc764be..ad9e7321 100644 --- a/parea/utils/trace_integrations/langchain.py +++ b/parea/utils/trace_integrations/langchain.py @@ -39,18 +39,26 @@ def __init__( def _persist_run(self, run: Run) -> None: if is_logging_disabled(): return - - self._set_parea_root_and_parent_trace_id(run) - if self.is_streaming: - self.client.stream_log(run) - else: - self.client.log() + try: + self._set_parea_root_and_parent_trace_id(run) + if self.is_streaming: + self.client.stream_log(run) + else: + self.client.log() + except Exception as e: + logger.exception(f"Error persisting langchain run: {e}") def _on_run_create(self, run: Run) -> None: - self.client.create_run_trace(run) + try: + self.client.create_run_trace(run) + except Exception as e: + logger.exception(f"Error creating langchain run: {e}") def _on_run_update(self, run: Run) -> None: - self.client.update_run_trace(run) + try: + self.client.update_run_trace(run) + except Exception as e: + logger.exception(f"Error updating langchain run: {e}") def on_llm_new_token(self, *args: Any, **kwargs: Any): super().on_llm_new_token(*args, **kwargs) From d6883982dc0d87ed18aac7b495592774a8be8912 Mon Sep 17 00:00:00 2001 From: Joel Alexander Date: Mon, 5 Aug 2024 13:13:35 -0400 Subject: [PATCH 5/8] langchain updates --- cookbook/langchain/trace_langchain_simple.py | 2 +- parea/utils/trace_integrations/langchain.py | 3 ++- 2 files changed, 3 insertions(+), 2 deletions(-) diff --git a/cookbook/langchain/trace_langchain_simple.py b/cookbook/langchain/trace_langchain_simple.py index ac616f44..caeeb984 100644 --- a/cookbook/langchain/trace_langchain_simple.py +++ b/cookbook/langchain/trace_langchain_simple.py @@ -42,5 +42,5 @@ def stream_main(): if __name__ == "__main__": - print(main()) + # print(main()) print(asyncio.run(amain())) diff --git a/parea/utils/trace_integrations/langchain.py b/parea/utils/trace_integrations/langchain.py index ad9e7321..01654d20 100644 --- a/parea/utils/trace_integrations/langchain.py +++ b/parea/utils/trace_integrations/langchain.py @@ -67,10 +67,11 @@ def on_llm_new_token(self, *args: Any, **kwargs: Any): def _set_parea_root_and_parent_trace_id(self, run) -> None: self.parent_trace_id = run.id if (hasattr(run, "execution_order") and run.execution_order == 1) or run.parent_run_id is None: + parea_root_trace_id = get_root_trace_id() if parent_trace_id := get_current_trace_id(): _experiment_uuid = trace_data.get()[parent_trace_id].experiment_uuid fill_trace_data(str(run.id), {"parent_trace_id": parent_trace_id}, UpdateTraceScenario.LANGCHAIN_CHILD) - langchain_to_parea_root_data = {run.id: {"parent_trace_id": parent_trace_id, "root_trace_id": get_root_trace_id(), "experiment_uuid": _experiment_uuid}} + langchain_to_parea_root_data = {run.id: {"parent_trace_id": parent_trace_id, "root_trace_id": parea_root_trace_id, "experiment_uuid": _experiment_uuid}} self.client.set_parea_root_and_parent_trace_id(langchain_to_parea_root_data) def get_parent_trace_id(self) -> UUID: From 48fe21efd65b6f06986de2967111e60a7201be48 Mon Sep 17 00:00:00 2001 From: Joel Alexander Date: Wed, 14 Aug 2024 11:40:17 -0400 Subject: [PATCH 6/8] merge master --- parea/parea_logger.py | 3 +- parea/utils/trace_integrations/langchain.py | 3 +- .../trace_integrations/langchain_utils.py | 39 ++++++++++--------- .../parea_langchain_client.py | 3 +- pyproject.toml | 4 -- 5 files changed, 26 insertions(+), 26 deletions(-) diff --git a/parea/parea_logger.py b/parea/parea_logger.py index bd5c9664..875d1801 100644 --- a/parea/parea_logger.py +++ b/parea/parea_logger.py @@ -1,6 +1,7 @@ +from typing import Optional + import json import logging -from typing import Optional from attrs import asdict, define, field from cattrs import structure diff --git a/parea/utils/trace_integrations/langchain.py b/parea/utils/trace_integrations/langchain.py index a4aaddff..405c0f59 100644 --- a/parea/utils/trace_integrations/langchain.py +++ b/parea/utils/trace_integrations/langchain.py @@ -1,7 +1,8 @@ from __future__ import annotations -import logging from typing import Any, Dict, List, Optional + +import logging from uuid import UUID from langchain_core.tracers import LangChainTracer diff --git a/parea/utils/trace_integrations/langchain_utils.py b/parea/utils/trace_integrations/langchain_utils.py index c9bda44d..31079952 100644 --- a/parea/utils/trace_integrations/langchain_utils.py +++ b/parea/utils/trace_integrations/langchain_utils.py @@ -1,5 +1,7 @@ from __future__ import annotations +from typing import Any, Callable, Dict, List, Optional, TypedDict, TypeVar, Union + import copy import datetime import functools @@ -8,7 +10,6 @@ import re import uuid from enum import Enum -from typing import Any, Callable, Dict, List, Optional, TypedDict, TypeVar, Union from orjson import orjson @@ -155,24 +156,24 @@ def _dumps_json_single(obj: Any, default: Optional[Callable[[Any], Any]] = None) def _dumps_json(obj: Any, depth: int = 0, serialize_py: bool = True) -> bytes: """Serialize an object to a JSON formatted string. -<<<<<<< HEAD - -======= ->>>>>>> main - Parameters - ---------- - obj : Any - The object to serialize. - default : Callable[[Any], Any] or None, default=None - The default function to use for serialization. -<<<<<<< HEAD - -======= ->>>>>>> main - Returns: - ------- - str - The JSON formatted string. + <<<<<<< HEAD + + ======= + >>>>>>> main + Parameters + ---------- + obj : Any + The object to serialize. + default : Callable[[Any], Any] or None, default=None + The default function to use for serialization. + <<<<<<< HEAD + + ======= + >>>>>>> main + Returns: + ------- + str + The JSON formatted string. """ return _dumps_json_single(obj, functools.partial(_serialize_json, depth=depth, serialize_py=serialize_py)) diff --git a/parea/utils/trace_integrations/parea_langchain_client.py b/parea/utils/trace_integrations/parea_langchain_client.py index 177b34bc..e0f0002d 100644 --- a/parea/utils/trace_integrations/parea_langchain_client.py +++ b/parea/utils/trace_integrations/parea_langchain_client.py @@ -1,6 +1,7 @@ +from typing import Any, Dict, List, Optional, Union, cast + import datetime import uuid -from typing import Any, Dict, List, Optional, Union, cast from langchain_core.tracers.schemas import Run diff --git a/pyproject.toml b/pyproject.toml index e0200fb1..04f87667 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -6,11 +6,7 @@ build-backend = "poetry.core.masonry.api" [tool.poetry] name = "parea-ai" packages = [{ include = "parea" }] -<<<<<<< HEAD -version = "0.2.192" -======= version = "0.2.203" ->>>>>>> main description = "Parea python sdk" readme = "README.md" authors = ["joel-parea-ai "] From 6cfb579b9c62ac18fc8b6a61f7f5787351cf65d8 Mon Sep 17 00:00:00 2001 From: Joel Alexander Date: Wed, 14 Aug 2024 11:42:33 -0400 Subject: [PATCH 7/8] merge master --- poetry.lock | 2311 +++++++++++++++++++++++---------------------------- 1 file changed, 1031 insertions(+), 1280 deletions(-) diff --git a/poetry.lock b/poetry.lock index 98d3889e..983f61ac 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,91 +1,103 @@ # This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. 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<<<<<<< HEAD - - ======= - >>>>>>> main - Parameters - ---------- - obj : Any - The object to serialize. - default : Callable[[Any], Any] or None, default=None - The default function to use for serialization. - <<<<<<< HEAD - - ======= - >>>>>>> main - Returns: - ------- - str - The JSON formatted string. + Args: + obj: The object to serialize. + depth: The current depth of the serialization. + serialize_py: Whether to serialize Python objects. + Returns: + The serialized JSON formatted string. """ return _dumps_json_single(obj, functools.partial(_serialize_json, depth=depth, serialize_py=serialize_py))