diff --git a/.github/workflows/test_docker_compose.yml b/.github/workflows/test_docker_compose.yml deleted file mode 100644 index 8b67d598a..000000000 --- a/.github/workflows/test_docker_compose.yml +++ /dev/null @@ -1,45 +0,0 @@ -name: "CI: Test Docker Compose" - -on: - push: - branches: [ main ] - paths: - pull_request: - branches: [ main ] - paths: - - ".github/workflows/test_docker_compose.yml" - - "python/langsmith/cli/docker-compose.yaml" - - -concurrency: - group: "test-docker-compose" - cancel-in-progress: true - -jobs: - - docker-compose: - timeout-minutes: 10 - runs-on: ubuntu-latest - - env: - LANGSMITH_LICENSE_KEY: ${{ secrets.LANGSMITH_LICENSE_KEY }} - API_KEY_SALT: test - - steps: - - name: Checkout - uses: actions/checkout@v1 - - - uses: KengoTODA/actions-setup-docker-compose@v1 - env: - GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} - - - name: Start containers - working-directory: python/langsmith/cli - run: docker compose up -d - - - name: sleep 30 seconds - run: sleep 30 - - - name: Check backend health - run: curl localhost:1980/api/info - diff --git a/python/langsmith/_internal/_background_thread.py b/python/langsmith/_internal/_background_thread.py index f817e27d4..85c99d46d 100644 --- a/python/langsmith/_internal/_background_thread.py +++ b/python/langsmith/_internal/_background_thread.py @@ -6,6 +6,7 @@ import logging import sys import threading +import time import weakref from multiprocessing import cpu_count from queue import Empty, Queue @@ -20,6 +21,7 @@ from langsmith import schemas as ls_schemas from langsmith import utils as ls_utils +from langsmith._internal._compressed_runs import CompressedRuns from langsmith._internal._constants import ( _AUTO_SCALE_DOWN_NEMPTY_TRIGGER, _AUTO_SCALE_UP_NTHREADS_LIMIT, @@ -100,7 +102,8 @@ def _tracing_thread_drain_queue( def _tracing_thread_drain_compressed_buffer( client: Client, size_limit: int = 100, size_limit_bytes: int | None = 20_971_520 ) -> Tuple[Optional[io.BytesIO], Optional[Tuple[int, int]]]: - assert client.compressed_runs is not None + if client.compressed_runs is None: + return None, None with client.compressed_runs.lock: client.compressed_runs.compressor_writer.flush() current_size = client.compressed_runs.buffer.tell() @@ -214,6 +217,24 @@ def tracing_control_thread_func(client_ref: weakref.ref[Client]) -> None: scale_up_qsize_trigger: int = batch_ingest_config["scale_up_qsize_trigger"] use_multipart = batch_ingest_config.get("use_multipart_endpoint", False) + disable_compression = ls_utils.get_env_var("DISABLE_RUN_COMPRESSION") + if not ls_utils.is_truish(disable_compression) and use_multipart: + if not (client.info.instance_flags or {}).get( + "zstd_compression_enabled", False + ): + logger.warning( + "Run compression is not enabled. Please update to the latest " + "version of LangSmith. Falling back to regular multipart ingestion." + ) + else: + client._futures = set() + client.compressed_runs = CompressedRuns() + client._data_available_event = threading.Event() + threading.Thread( + target=tracing_control_thread_func_compress_parallel, + args=(weakref.ref(client),), + ).start() + sub_threads: List[threading.Thread] = [] # 1 for this func, 1 for getrefcount, 1 for _get_data_type_cached num_known_refs = 3 @@ -256,6 +277,7 @@ def keep_thread_active() -> bool: _tracing_thread_handle_batch( client, tracing_queue, next_batch, use_multipart ) + # drain the queue on exit while next_batch := _tracing_thread_drain_queue( tracing_queue, limit=size_limit, block=False @@ -264,12 +286,20 @@ def keep_thread_active() -> bool: def tracing_control_thread_func_compress_parallel( - client_ref: weakref.ref[Client], + client_ref: weakref.ref[Client], flush_interval: float = 0.5 ) -> None: client = client_ref() if client is None: return + if ( + client.compressed_runs is None + or client._data_available_event is None + or client._futures is None + ): + logger.error("Required compression attributes not initialized") + return + batch_ingest_config = _ensure_ingest_config(client.info) size_limit: int = batch_ingest_config["size_limit"] size_limit_bytes = batch_ingest_config.get("size_limit_bytes", 20_971_520) @@ -300,35 +330,67 @@ def keep_thread_active() -> bool: # for now, keep thread alive return True + last_flush_time = time.monotonic() + while True: triggered = client._data_available_event.wait(timeout=0.05) if not keep_thread_active(): break - if not triggered: - continue - client._data_available_event.clear() - data_stream, compressed_runs_info = _tracing_thread_drain_compressed_buffer( - client, size_limit, size_limit_bytes - ) + # If data arrived, clear the event and attempt a drain + if triggered: + client._data_available_event.clear() - if data_stream is not None: - try: - future = HTTP_REQUEST_THREAD_POOL.submit( - client._send_compressed_multipart_req, - data_stream, - compressed_runs_info, + data_stream, compressed_runs_info = _tracing_thread_drain_compressed_buffer( + client, size_limit, size_limit_bytes + ) + # If we have data, submit the send request + if data_stream is not None: + try: + future = HTTP_REQUEST_THREAD_POOL.submit( + client._send_compressed_multipart_req, + data_stream, + compressed_runs_info, + ) + client._futures.add(future) + except RuntimeError: + client._send_compressed_multipart_req( + data_stream, + compressed_runs_info, + ) + last_flush_time = time.monotonic() + + else: + if (time.monotonic() - last_flush_time) >= flush_interval: + data_stream, compressed_runs_info = ( + _tracing_thread_drain_compressed_buffer( + client, size_limit=1, size_limit_bytes=1 + ) ) - client._futures.add(future) - except RuntimeError: - client._send_compressed_multipart_req(data_stream, compressed_runs_info) + if data_stream is not None: + try: + cf.wait( + [ + HTTP_REQUEST_THREAD_POOL.submit( + client._send_compressed_multipart_req, + data_stream, + compressed_runs_info, + ) + ] + ) + except RuntimeError: + client._send_compressed_multipart_req( + data_stream, + compressed_runs_info, + ) + last_flush_time = time.monotonic() - # Drain the buffer on exit + # Drain the buffer on exit (final flush) try: final_data_stream, compressed_runs_info = ( _tracing_thread_drain_compressed_buffer( client, size_limit=1, size_limit_bytes=1 - ) # Force final drain + ) ) if final_data_stream is not None: try: diff --git a/python/langsmith/_internal/_compressed_runs.py b/python/langsmith/_internal/_compressed_runs.py index e4f0f8f92..19a512876 100644 --- a/python/langsmith/_internal/_compressed_runs.py +++ b/python/langsmith/_internal/_compressed_runs.py @@ -1,12 +1,7 @@ import io import threading -try: - from zstandard import ZstdCompressor # type: ignore[import] - - HAVE_ZSTD = True -except ImportError: - HAVE_ZSTD = False +from zstandard import ZstdCompressor # type: ignore[import] from langsmith import utils as ls_utils @@ -20,11 +15,6 @@ def __init__(self): self.lock = threading.Lock() self.uncompressed_size = 0 - if not HAVE_ZSTD: - raise ImportError( - "zstandard package required for compression. " - "Install with 'pip install langsmith[compression]'" - ) self.compressor_writer = ZstdCompressor( level=compression_level, threads=-1 ).stream_writer(self.buffer, closefd=False) @@ -34,11 +24,6 @@ def reset(self): self.run_count = 0 self.uncompressed_size = 0 - if not HAVE_ZSTD: - raise ImportError( - "zstandard package required for compression. " - "Install with 'pip install langsmith[compression]'" - ) self.compressor_writer = ZstdCompressor( level=compression_level, threads=-1 ).stream_writer(self.buffer, closefd=False) diff --git a/python/langsmith/_internal/_operations.py b/python/langsmith/_internal/_operations.py index f5b560d47..5c7e65779 100644 --- a/python/langsmith/_internal/_operations.py +++ b/python/langsmith/_internal/_operations.py @@ -2,8 +2,10 @@ import itertools import logging +import os import uuid -from typing import Literal, Optional, Union, cast +from io import BufferedReader +from typing import Dict, Literal, Optional, Union, cast from langsmith import schemas as ls_schemas from langsmith._internal import _orjson @@ -212,9 +214,9 @@ def serialized_feedback_operation_to_multipart_parts_and_context( def serialized_run_operation_to_multipart_parts_and_context( op: SerializedRunOperation, -) -> MultipartPartsAndContext: +) -> tuple[MultipartPartsAndContext, Dict[str, BufferedReader]]: acc_parts: list[MultipartPart] = [] - + opened_files_dict: Dict[str, BufferedReader] = {} # this is main object, minus inputs/outputs/events/attachments acc_parts.append( ( @@ -247,7 +249,7 @@ def serialized_run_operation_to_multipart_parts_and_context( ), ) if op.attachments: - for n, (content_type, valb) in op.attachments.items(): + for n, (content_type, data_or_path) in op.attachments.items(): if "." in n: logger.warning( f"Skipping logging of attachment '{n}' " @@ -257,20 +259,39 @@ def serialized_run_operation_to_multipart_parts_and_context( ) continue - acc_parts.append( - ( - f"attachment.{op.id}.{n}", + if isinstance(data_or_path, bytes): + acc_parts.append( ( - None, - valb, - content_type, - {"Content-Length": str(len(valb))}, - ), + f"attachment.{op.id}.{n}", + ( + None, + data_or_path, + content_type, + {"Content-Length": str(len(data_or_path))}, + ), + ) ) - ) - return MultipartPartsAndContext( - acc_parts, - f"trace={op.trace_id},id={op.id}", + else: + file_size = os.path.getsize(data_or_path) + file = open(data_or_path, "rb") + opened_files_dict[str(data_or_path) + str(uuid.uuid4())] = file + acc_parts.append( + ( + f"attachment.{op.id}.{n}", + ( + None, + file, # type: ignore[arg-type] + f"{content_type}; length={file_size}", + {}, + ), + ) + ) + return ( + MultipartPartsAndContext( + acc_parts, + f"trace={op.trace_id},id={op.id}", + ), + opened_files_dict, ) diff --git a/python/langsmith/async_client.py b/python/langsmith/async_client.py index 8245edbab..0be62924d 100644 --- a/python/langsmith/async_client.py +++ b/python/langsmith/async_client.py @@ -25,6 +25,8 @@ from langsmith import utils as ls_utils from langsmith._internal import _beta_decorator as ls_beta +ID_TYPE = Union[uuid.UUID, str] + class AsyncClient: """Async Client for interacting with the LangSmith API.""" @@ -95,6 +97,14 @@ async def _arequest_with_retries( ) -> httpx.Response: """Make an async HTTP request with retries.""" max_retries = cast(int, self._retry_config.get("max_retries", 3)) + + # Python requests library used by the normal Client filters out params with None values + # The httpx library does not. Filter them out here to keep behavior consistent + if "params" in kwargs: + params = kwargs["params"] + filtered_params = {k: v for k, v in params.items() if v is not None} + kwargs["params"] = filtered_params + for attempt in range(max_retries): try: response = await self._client.request(method, endpoint, **kwargs) @@ -826,6 +836,220 @@ async def list_feedback( if limit is not None and ix >= limit: break + async def delete_feedback(self, feedback_id: ID_TYPE) -> None: + """Delete a feedback by ID. + + Args: + feedback_id (Union[UUID, str]): + The ID of the feedback to delete. + + Returns: + None + """ + response = await self._arequest_with_retries( + "DELETE", f"/feedback/{ls_client._as_uuid(feedback_id, 'feedback_id')}" + ) + ls_utils.raise_for_status_with_text(response) + + # Annotation Queue API + + async def list_annotation_queues( + self, + *, + queue_ids: Optional[List[ID_TYPE]] = None, + name: Optional[str] = None, + name_contains: Optional[str] = None, + limit: Optional[int] = None, + ) -> AsyncIterator[ls_schemas.AnnotationQueue]: + """List the annotation queues on the LangSmith API. + + Args: + queue_ids (Optional[List[Union[UUID, str]]]): + The IDs of the queues to filter by. + name (Optional[str]): + The name of the queue to filter by. + name_contains (Optional[str]): + The substring that the queue name should contain. + limit (Optional[int]): + The maximum number of queues to return. + + Yields: + The annotation queues. + """ + params: dict = { + "ids": ( + [ + ls_client._as_uuid(id_, f"queue_ids[{i}]") + for i, id_ in enumerate(queue_ids) + ] + if queue_ids is not None + else None + ), + "name": name, + "name_contains": name_contains, + "limit": min(limit, 100) if limit is not None else 100, + } + ix = 0 + async for feedback in self._aget_paginated_list( + "/annotation-queues", params=params + ): + yield ls_schemas.AnnotationQueue(**feedback) + ix += 1 + if limit is not None and ix >= limit: + break + + async def create_annotation_queue( + self, + *, + name: str, + description: Optional[str] = None, + queue_id: Optional[ID_TYPE] = None, + ) -> ls_schemas.AnnotationQueue: + """Create an annotation queue on the LangSmith API. + + Args: + name (str): + The name of the annotation queue. + description (Optional[str]): + The description of the annotation queue. + queue_id (Optional[Union[UUID, str]]): + The ID of the annotation queue. + + Returns: + AnnotationQueue: The created annotation queue object. + """ + body = { + "name": name, + "description": description, + "id": str(queue_id) if queue_id is not None else str(uuid.uuid4()), + } + response = await self._arequest_with_retries( + "POST", + "/annotation-queues", + json={k: v for k, v in body.items() if v is not None}, + ) + ls_utils.raise_for_status_with_text(response) + return ls_schemas.AnnotationQueue( + **response.json(), + ) + + async def read_annotation_queue( + self, queue_id: ID_TYPE + ) -> ls_schemas.AnnotationQueue: + """Read an annotation queue with the specified queue ID. + + Args: + queue_id (Union[UUID, str]): The ID of the annotation queue to read. + + Returns: + AnnotationQueue: The annotation queue object. + """ + # TODO: Replace when actual endpoint is added + return await self.list_annotation_queues(queue_ids=[queue_id]).__anext__() + + async def update_annotation_queue( + self, queue_id: ID_TYPE, *, name: str, description: Optional[str] = None + ) -> None: + """Update an annotation queue with the specified queue_id. + + Args: + queue_id (Union[UUID, str]): The ID of the annotation queue to update. + name (str): The new name for the annotation queue. + description (Optional[str]): The new description for the + annotation queue. Defaults to None. + + Returns: + None + """ + response = await self._arequest_with_retries( + "PATCH", + f"/annotation-queues/{ls_client._as_uuid(queue_id, 'queue_id')}", + json={ + "name": name, + "description": description, + }, + ) + ls_utils.raise_for_status_with_text(response) + + async def delete_annotation_queue(self, queue_id: ID_TYPE) -> None: + """Delete an annotation queue with the specified queue ID. + + Args: + queue_id (Union[UUID, str]): The ID of the annotation queue to delete. + + Returns: + None + """ + response = await self._arequest_with_retries( + "DELETE", + f"/annotation-queues/{ls_client._as_uuid(queue_id, 'queue_id')}", + headers={"Accept": "application/json", **self._client.headers}, + ) + ls_utils.raise_for_status_with_text(response) + + async def add_runs_to_annotation_queue( + self, queue_id: ID_TYPE, *, run_ids: List[ID_TYPE] + ) -> None: + """Add runs to an annotation queue with the specified queue ID. + + Args: + queue_id (Union[UUID, str]): The ID of the annotation queue. + run_ids (List[Union[UUID, str]]): The IDs of the runs to be added to the annotation + queue. + + Returns: + None + """ + response = await self._arequest_with_retries( + "POST", + f"/annotation-queues/{ls_client._as_uuid(queue_id, 'queue_id')}/runs", + json=[ + str(ls_client._as_uuid(id_, f"run_ids[{i}]")) + for i, id_ in enumerate(run_ids) + ], + ) + ls_utils.raise_for_status_with_text(response) + + async def delete_run_from_annotation_queue( + self, queue_id: ID_TYPE, *, run_id: ID_TYPE + ) -> None: + """Delete a run from an annotation queue with the specified queue ID and run ID. + + Args: + queue_id (Union[UUID, str]): The ID of the annotation queue. + run_id (Union[UUID, str]): The ID of the run to be added to the annotation + queue. + + Returns: + None + """ + response = await self._arequest_with_retries( + "DELETE", + f"/annotation-queues/{ls_client._as_uuid(queue_id, 'queue_id')}/runs/{ls_client._as_uuid(run_id, 'run_id')}", + ) + ls_utils.raise_for_status_with_text(response) + + async def get_run_from_annotation_queue( + self, queue_id: ID_TYPE, *, index: int + ) -> ls_schemas.RunWithAnnotationQueueInfo: + """Get a run from an annotation queue at the specified index. + + Args: + queue_id (Union[UUID, str]): The ID of the annotation queue. + index (int): The index of the run to retrieve. + + Returns: + RunWithAnnotationQueueInfo: The run at the specified index. + + Raises: + LangSmithNotFoundError: If the run is not found at the given index. + LangSmithError: For other API-related errors. + """ + base_url = f"/annotation-queues/{ls_client._as_uuid(queue_id, 'queue_id')}/run" + response = await self._arequest_with_retries("GET", f"{base_url}/{index}") + ls_utils.raise_for_status_with_text(response) + return ls_schemas.RunWithAnnotationQueueInfo(**response.json()) + @ls_beta.warn_beta async def index_dataset( self, diff --git a/python/langsmith/cli/.env.example b/python/langsmith/cli/.env.example deleted file mode 100644 index befd570ed..000000000 --- a/python/langsmith/cli/.env.example +++ /dev/null @@ -1,37 +0,0 @@ -# Don't change this file. Instead, copy it to .env and change the values there. The default values will work out of the box as long as you provide your license key. -_LANGSMITH_IMAGE_VERSION=0.8.12 # Change to the desired Langsmith image version -LANGSMITH_LICENSE_KEY=your-license-key # Change to your Langsmith license key -AUTH_TYPE=none # Set to oauth if you want to use OAuth2.0 with PKCE. Set to mixed for basic auth or OAuth2.0 with OAuth2.0 client secret -OAUTH_CLIENT_ID=your-client-id # Required if AUTH_TYPE=oauth or mixed with OAuth2.0 with OAuth2.0 client secret -OAUTH_ISSUER_URL=https://your-issuer-url # Required if AUTH_TYPE=oauth or mixed with OAuth2.0 with OAuth2.0 client secret -OAUTH_CLIENT_SECRET=your-client-secret # Required if AUTH_TYPE=mixed with OAuth2.0 with OAuth2.0 client secret -LANGSMITH_URL=http://localhost:1980 # Change to your hosted Langsmith URL. Required if AUTH_TYPE=mixed with OAuth2.0 client secret -API_KEY_SALT=super # Change to your desired API key salt. Can be any random value. Must be set if AUTH_TYPE=oauth -POSTGRES_DATABASE_URI=postgres:postgres@langchain-db:5432/postgres # Change to your database URI if using external postgres. Otherwise, leave it as is -REDIS_DATABASE_URI=redis://langchain-redis:6379 # Change to your Redis URI if using external Redis. Otherwise, leave it as is -LOG_LEVEL=warning # Change to your desired log level -MAX_ASYNC_JOBS_PER_WORKER=10 # Change to your desired maximum async jobs per worker. We recommend 10/suggest spinning up more replicas of the queue worker if you need more throughput -ASYNCPG_POOL_MAX_SIZE=3 # Change the PG pool size based off your pg instance/requirements. -CLICKHOUSE_HOST=langchain-clickhouse # Change to your Clickhouse host if using external Clickhouse. Otherwise, leave it as is -CLICKHOUSE_USER=default # Change to your Clickhouse user if needed -CLICKHOUSE_DB=default # Change to your Clickhouse database if needed -CLICKHOUSE_PORT=8123 # Change to your Clickhouse port if needed -CLICKHOUSE_TLS=false # Change to true if you are using TLS to connect to Clickhouse. Otherwise, leave it as is -CLICKHOUSE_PASSWORD=password # Change to your Clickhouse password if needed -CLICKHOUSE_NATIVE_PORT=9000 # Change to your Clickhouse native port if needed -ORG_CREATION_DISABLED=false # Set to true if you want to disable org creation -WORKSPACE_SCOPE_ORG_INVITES_ENABLED=false # Set to true if you want to disable workspace scope org invites -PERSONAL_ORGS_DISABLED=false # Set to true if you want to disable personal orgs -TTL_ENABLED=true # Set to true if you want to enable TTL for your data -SHORT_LIVED_TTL_SECONDS=1209600 # Set to your desired TTL for short-lived traces. Default is 14 days -LONG_LIVED_TTL_SECONDS=34560000 # Set to your desired TTL for long-lived traces. Default is 400 days -BLOB_STORAGE_ENABLED=false # Set to true if you want to enable blob storage -BLOB_STORAGE_BUCKET_NAME=langsmith-blob-storage # Change to your desired blob storage bucket name -BLOB_STORAGE_API_URL=https://s3.us-west-2.amazonaws.com # Change to your desired blob storage API URL -BLOB_STORAGE_ACCESS_KEY=your-access-key # Change to your desired blob storage access key -BLOB_STORAGE_ACCESS_KEY_SECRET=your-access-key-secret # Change to your desired blob storage access key secret -CH_SEARCH_ENABLED=true # Set to false if you do not want to store tokenized inputs/outputs in clickhouse -BASIC_AUTH_ENABLED=false # Set to true if you want to enable basic auth -BASIC_AUTH_JWT_SECRET=your-jwt-secret # Change to your desired basic auth JWT secret -INITIAL_ORG_ADMIN_EMAIL=your-email # Change to your desired initial org admin email. Only used if BASIC_AUTH_ENABLED=true -INITIAL_ORG_ADMIN_PASSWORD=your-password # Change to your desired initial org admin password. Only used if BASIC_AUTH_ENABLED=true diff --git a/python/langsmith/cli/README.md b/python/langsmith/cli/README.md new file mode 100644 index 000000000..cced4e25a --- /dev/null +++ b/python/langsmith/cli/README.md @@ -0,0 +1,3 @@ +# DOCKER-COMPOSE MOVED +All documentation for docker-compose has been moved to the helm repository. +You can find it [here](https://github.com/langchain-ai/helm/blob/main/charts/langsmith/docker-compose/docker-compose.yaml) diff --git a/python/langsmith/cli/__init__.py b/python/langsmith/cli/__init__.py deleted file mode 100644 index e69de29bb..000000000 diff --git a/python/langsmith/cli/docker-compose.yaml b/python/langsmith/cli/docker-compose.yaml deleted file mode 100644 index 6a2f01d06..000000000 --- a/python/langsmith/cli/docker-compose.yaml +++ /dev/null @@ -1,275 +0,0 @@ -services: - langchain-playground: - image: langchain/langsmith-playground:${_LANGSMITH_IMAGE_VERSION:-0.8.12} - ports: - - 3001:3001 - environment: - - PORT=3001 - - LANGCHAIN_ENV=local_docker - - LOG_LEVEL=${LOG_LEVEL:-info} - langchain-frontend: - image: langchain/langsmith-frontend:${_LANGSMITH_IMAGE_VERSION:-0.8.12} - environment: - - VITE_BACKEND_AUTH_TYPE=${AUTH_TYPE:-none} - - VITE_BASIC_AUTH_ENABLED=${BASIC_AUTH_ENABLED:-false} - - VITE_OAUTH_CLIENT_ID=${OAUTH_CLIENT_ID} - - VITE_OAUTH_ISSUER_URL=${OAUTH_ISSUER_URL} - ports: - - 1980:1980 - depends_on: - - langchain-backend - - langchain-playground - langchain-ace-backend: - image: langchain/langsmith-ace-backend:${_LANGSMITH_IMAGE_VERSION:-0.8.12} - ports: - - 1987:1987 - environment: - - PORT=1987 - command: - - "deno" - - "run" - - "--unstable-worker-options" - - "--allow-env" - - "--allow-net=0.0.0.0:1987" - - "--node-modules-dir" - - "-R" - - "src/main.ts" - - "-R" - - "src/python_worker.ts" - langchain-backend: - image: langchain/langsmith-backend:${_LANGSMITH_IMAGE_VERSION:-0.8.12} - environment: - - PORT=1984 - - LANGCHAIN_ENV=local_docker - - LANGSMITH_URL=${LANGSMITH_URL:-http://langchain-frontend:1980} - - GO_ENDPOINT=http://langchain-platform-backend:1986 - - SMITH_BACKEND_ENDPOINT=${SMITH_BACKEND_ENDPOINT:-http://langchain-backend:1984} - - LANGSMITH_LICENSE_KEY=${LANGSMITH_LICENSE_KEY} - - LOG_LEVEL=${LOG_LEVEL:-info} - - AUTH_TYPE=${AUTH_TYPE:-none} - - OAUTH_CLIENT_ID=${OAUTH_CLIENT_ID} - - OAUTH_CLIENT_SECRET=${OAUTH_CLIENT_SECRET} - - OAUTH_ISSUER_URL=${OAUTH_ISSUER_URL} - - API_KEY_SALT=${API_KEY_SALT} - - X_SERVICE_AUTH_JWT_SECRET=${API_KEY_SALT} - - POSTGRES_DATABASE_URI=${POSTGRES_DATABASE_URI:-postgres:postgres@langchain-db:5432/postgres} - - REDIS_DATABASE_URI=${REDIS_DATABASE_URI:-redis://langchain-redis:6379} - - CLICKHOUSE_HOST=${CLICKHOUSE_HOST:-langchain-clickhouse} - - CLICKHOUSE_USER=${CLICKHOUSE_USER:-default} - - CLICKHOUSE_PASSWORD=${CLICKHOUSE_PASSWORD:-password} - - CLICKHOUSE_DB=${CLICKHOUSE_DB:-default} - - CLICKHOUSE_PORT=${CLICKHOUSE_PORT:-8123} - - CLICKHOUSE_TLS=${CLICKHOUSE_TLS:-false} - - FF_ORG_CREATION_DISABLED=${ORG_CREATION_DISABLED:-false} - - FF_TRACE_TIERS_ENABLED=${TTL_ENABLED:-true} - - FF_UPGRADE_TRACE_TIER_ENABLED=${TTL_ENABLED:-true} - - FF_S3_STORAGE_ENABLED=${BLOB_STORAGE_ENABLED:-false} - - S3_BUCKET_NAME=${BLOB_STORAGE_BUCKET_NAME:-langsmith-s3-assets} - - S3_RUN_MANIFEST_BUCKET_NAME=${BLOB_STORAGE_BUCKET_NAME:-langsmith-s3-assets} - - S3_API_URL=${BLOB_STORAGE_API_URL:-https://s3.us-west-2.amazonaws.com} - - S3_ACCESS_KEY=${BLOB_STORAGE_ACCESS_KEY} - - S3_ACCESS_KEY_SECRET=${BLOB_STORAGE_ACCESS_KEY_SECRET} - - FF_CH_SEARCH_ENABLED=${CH_SEARCH_ENABLED:-true} - - BASIC_AUTH_ENABLED=${BASIC_AUTH_ENABLED:-false} - - BASIC_AUTH_JWT_SECRET=${BASIC_AUTH_JWT_SECRET} - - INITIAL_ORG_ADMIN_EMAIL=${INITIAL_ORG_ADMIN_EMAIL} - - INITIAL_ORG_ADMIN_PASSWORD=${INITIAL_ORG_ADMIN_PASSWORD} - ports: - - 1984:1984 - depends_on: - langchain-db: - condition: service_healthy - langchain-redis: - condition: service_healthy - clickhouse-setup: - condition: service_completed_successfully - postgres-setup: - condition: service_completed_successfully - restart: always - langchain-platform-backend: - image: langchain/langsmith-go-backend:${_LANGSMITH_IMAGE_VERSION:-0.8.12} - environment: - - PORT=1986 - - LANGCHAIN_ENV=local_docker - - LANGSMITH_URL=${LANGSMITH_URL:-http://langchain-frontend:1980} - - SMITH_BACKEND_ENDPOINT=${SMITH_BACKEND_ENDPOINT:-http://langchain-backend:1984} - - LANGSMITH_LICENSE_KEY=${LANGSMITH_LICENSE_KEY} - - OPENAI_API_KEY=${OPENAI_API_KEY} - - LOG_LEVEL=${LOG_LEVEL:-warning} - - AUTH_TYPE=${AUTH_TYPE:-none} - - OAUTH_CLIENT_ID=${OAUTH_CLIENT_ID} - - OAUTH_CLIENT_SECRET=${OAUTH_CLIENT_SECRET} - - OAUTH_ISSUER_URL=${OAUTH_ISSUER_URL} - - API_KEY_SALT=${API_KEY_SALT} - - X_SERVICE_AUTH_JWT_SECRET=${API_KEY_SALT} - - POSTGRES_DATABASE_URI=${POSTGRES_DATABASE_URI:-postgres:postgres@langchain-db:5432/postgres} - - REDIS_DATABASE_URI=${REDIS_DATABASE_URI:-redis://langchain-redis:6379} - - BASIC_AUTH_ENABLED=${BASIC_AUTH_ENABLED:-false} - - BASIC_AUTH_JWT_SECRET=${BASIC_AUTH_JWT_SECRET} - ports: - - 1986:1986 - depends_on: - langchain-db: - condition: service_healthy - langchain-redis: - condition: service_healthy - clickhouse-setup: - condition: service_completed_successfully - postgres-setup: - condition: service_completed_successfully - restart: always - langchain-queue: - image: langchain/langsmith-backend:${_LANGSMITH_IMAGE_VERSION:-0.8.12} - environment: - - LANGCHAIN_ENV=local_docker - - GO_ENDPOINT=http://langchain-platform-backend:1986 - - SMITH_BACKEND_ENDPOINT=http://langchain-backend:1984 - - LANGSMITH_LICENSE_KEY=${LANGSMITH_LICENSE_KEY} - - LOG_LEVEL=${LOG_LEVEL:-info} - - AUTH_TYPE=${AUTH_TYPE:-none} - - OAUTH_CLIENT_ID=${OAUTH_CLIENT_ID} - - OAUTH_ISSUER_URL=${OAUTH_ISSUER_URL} - - API_KEY_SALT=${API_KEY_SALT} - - X_SERVICE_AUTH_JWT_SECRET=${API_KEY_SALT} - - POSTGRES_DATABASE_URI=${POSTGRES_DATABASE_URI:-postgres:postgres@langchain-db:5432/postgres} - - REDIS_DATABASE_URI=${REDIS_DATABASE_URI:-redis://langchain-redis:6379} - - CLICKHOUSE_HOST=${CLICKHOUSE_HOST:-langchain-clickhouse} - - CLICKHOUSE_USER=${CLICKHOUSE_USER:-default} - - CLICKHOUSE_PASSWORD=${CLICKHOUSE_PASSWORD:-password} - - CLICKHOUSE_DB=${CLICKHOUSE_DB:-default} - - CLICKHOUSE_PORT=${CLICKHOUSE_PORT:-8123} - - CLICKHOUSE_TLS=${CLICKHOUSE_TLS:-false} - - FF_ORG_CREATION_DISABLED=${ORG_CREATION_DISABLED:-false} - - FF_TRACE_TIERS_ENABLED=${TTL_ENABLED:-true} - - FF_UPGRADE_TRACE_TIER_ENABLED=${TTL_ENABLED:-true} - - FF_S3_STORAGE_ENABLED=${BLOB_STORAGE_ENABLED:-false} - - S3_BUCKET_NAME=${BLOB_STORAGE_BUCKET_NAME:-langsmith-s3-assets} - - S3_RUN_MANIFEST_BUCKET_NAME=${BLOB_STORAGE_BUCKET_NAME:-langsmith-s3-assets} - - S3_API_URL=${BLOB_STORAGE_API_URL:-https://s3.us-west-2.amazonaws.com} - - S3_ACCESS_KEY=${BLOB_STORAGE_ACCESS_KEY} - - S3_ACCESS_KEY_SECRET=${BLOB_STORAGE_ACCESS_KEY_SECRET} - - FF_CH_SEARCH_ENABLED=${CH_SEARCH_ENABLED:-true} - - BASIC_AUTH_ENABLED=${BASIC_AUTH_ENABLED:-false} - - BASIC_AUTH_JWT_SECRET=${BASIC_AUTH_JWT_SECRET} - command: - - "saq" - - "app.workers.queues.single_queue_worker.settings" - - "--quiet" - depends_on: - langchain-db: - condition: service_healthy - langchain-redis: - condition: service_healthy - clickhouse-setup: - condition: service_completed_successfully - postgres-setup: - condition: service_completed_successfully - restart: always - langchain-db: - image: postgres:14.7 - command: - [ - "postgres", - "-c", - "log_min_messages=WARNING", - "-c", - "client_min_messages=WARNING", - ] - environment: - - POSTGRES_PASSWORD=postgres - - POSTGRES_USER=postgres - - POSTGRES_DB=postgres - volumes: - - langchain-db-data:/var/lib/postgresql/data - ports: - - 5433:5432 - healthcheck: - test: ["CMD", "pg_isready", "-U", "postgres"] - interval: 2s - timeout: 2s - retries: 30 - langchain-redis: - image: redis:7 - ports: - - 63791:6379 - volumes: - - langchain-redis-data:/data - healthcheck: - test: ["CMD", "redis-cli", "ping"] - interval: 2s - timeout: 2s - retries: 30 - langchain-clickhouse: - image: clickhouse/clickhouse-server:24.5 - user: "101:101" - restart: always - environment: - - CLICKHOUSE_DB=${CLICKHOUSE_DB:-default} - - CLICKHOUSE_USER=${CLICKHOUSE_USER:-default} - - CLICKHOUSE_PASSWORD=${CLICKHOUSE_PASSWORD:-password} - volumes: - - langchain-clickhouse-data:/var/lib/clickhouse - - ./users.xml:/etc/clickhouse-server/users.d/users.xml - ports: - - 8124:8123 - - 9001:9000 - healthcheck: - test: ["CMD", "clickhouse-client", "--query", "SELECT 1"] - interval: 2s - timeout: 2s - retries: 30 - clickhouse-setup: - image: langchain/langsmith-backend:${_LANGSMITH_IMAGE_VERSION:-0.8.12} - depends_on: - langchain-clickhouse: - condition: service_healthy - restart: "on-failure:10" - environment: - - CLICKHOUSE_HOST=${CLICKHOUSE_HOST:-langchain-clickhouse} - - CLICKHOUSE_USER=${CLICKHOUSE_USER:-default} - - CLICKHOUSE_PASSWORD=${CLICKHOUSE_PASSWORD:-password} - - CLICKHOUSE_DB=${CLICKHOUSE_DB:-default} - - CLICKHOUSE_PORT=${CLICKHOUSE_PORT:-8123} - - CLICKHOUSE_NATIVE_PORT=${CLICKHOUSE_NATIVE_PORT:-9000} - - CLICKHOUSE_TLS=${CLICKHOUSE_TLS:-false} - command: - [ - "bash", - "scripts/wait_for_clickhouse_and_migrate.sh" - ] - postgres-setup: - image: langchain/langsmith-backend:${_LANGSMITH_IMAGE_VERSION:-0.8.12} - depends_on: - langchain-db: - condition: service_healthy - environment: - - LANGCHAIN_ENV=local_docker - - LANGSMITH_LICENSE_KEY=${LANGSMITH_LICENSE_KEY} - - OPENAI_API_KEY=${OPENAI_API_KEY} - - LOG_LEVEL=${LOG_LEVEL:-warning} - - AUTH_TYPE=${AUTH_TYPE:-none} - - OAUTH_CLIENT_ID=${OAUTH_CLIENT_ID} - - OAUTH_ISSUER_URL=${OAUTH_ISSUER_URL} - - API_KEY_SALT=${API_KEY_SALT} - - POSTGRES_DATABASE_URI=${POSTGRES_DATABASE_URI:-postgres:postgres@langchain-db:5432/postgres} - - REDIS_DATABASE_URI=${REDIS_DATABASE_URI:-redis://langchain-redis:6379} - - MAX_ASYNC_JOBS_PER_WORKER=${MAX_ASYNC_JOBS_PER_WORKER:-10} - - ASYNCPG_POOL_MAX_SIZE=${ASYNCPG_POOL_MAX_SIZE:-3} - - CLICKHOUSE_HOST=${CLICKHOUSE_HOST:-langchain-clickhouse} - - CLICKHOUSE_USER=${CLICKHOUSE_USER:-default} - - CLICKHOUSE_PASSWORD=${CLICKHOUSE_PASSWORD:-password} - - CLICKHOUSE_DB=${CLICKHOUSE_DB:-default} - - CLICKHOUSE_PORT=${CLICKHOUSE_PORT:-8123} - - CLICKHOUSE_NATIVE_PORT=${CLICKHOUSE_NATIVE_PORT:-9000} - - CLICKHOUSE_TLS=${CLICKHOUSE_TLS:-false} - restart: "on-failure:10" - command: - [ - "bash", - "-c", - "alembic upgrade head", - ] -volumes: - langchain-db-data: - langchain-redis-data: - langchain-clickhouse-data: diff --git a/python/langsmith/cli/main.py b/python/langsmith/cli/main.py deleted file mode 100644 index f6240ef06..000000000 --- a/python/langsmith/cli/main.py +++ /dev/null @@ -1,307 +0,0 @@ -import argparse -import json -import logging -import os -import subprocess -from pathlib import Path -from typing import Dict, List, Mapping, Optional, Union, cast - -from langsmith import env as ls_env -from langsmith import utils as ls_utils - -logging.basicConfig(level=logging.INFO, format="%(message)s") -logger = logging.getLogger(__name__) - -_DIR = Path(__file__).parent - - -def pprint_services(services_status: List[Mapping[str, Union[str, List[str]]]]) -> None: - # Loop through and collect Service, State, and Publishers["PublishedPorts"] - # for each service - services = [] - for service in services_status: - service_status: Dict[str, str] = { - "Service": str(service["Service"]), - "Status": str(service["Status"]), - } - publishers = cast(List[Dict], service.get("Publishers", [])) - if publishers: - service_status["PublishedPorts"] = ", ".join( - [str(publisher["PublishedPort"]) for publisher in publishers] - ) - services.append(service_status) - - max_service_len = max(len(service["Service"]) for service in services) - max_state_len = max(len(service["Status"]) for service in services) - service_message = [ - "\n" - + "Service".ljust(max_service_len + 2) - + "Status".ljust(max_state_len + 2) - + "Published Ports" - ] - for service in services: - service_str = service["Service"].ljust(max_service_len + 2) - state_str = service["Status"].ljust(max_state_len + 2) - ports_str = service.get("PublishedPorts", "") - service_message.append(service_str + state_str + ports_str) - - service_message.append( - "\nTo connect, set the following environment variables" - " in your LangChain application:" - "\nLANGSMITH_TRACING_V2=true" - "\nLANGSMITH_ENDPOINT=http://localhost:80/api" - ) - logger.info("\n".join(service_message)) - - -class LangSmithCommand: - """Manage the LangSmith Tracing server.""" - - def __init__(self) -> None: - self.docker_compose_file = ( - Path(__file__).absolute().parent / "docker-compose.yaml" - ) - - @property - def docker_compose_command(self) -> List[str]: - return ls_utils.get_docker_compose_command() - - def _open_browser(self, url: str) -> None: - try: - subprocess.run(["open", url]) - except FileNotFoundError: - pass - - def _start_local(self) -> None: - command = [ - *self.docker_compose_command, - "-f", - str(self.docker_compose_file), - ] - subprocess.run( - [ - *command, - "up", - "--quiet-pull", - "--wait", - ] - ) - logger.info( - "LangSmith server is running at http://localhost:80/api.\n" - "To view the app, navigate your browser to http://localhost:80" - "\n\nTo connect your LangChain application to the server" - " locally,\nset the following environment variable" - " when running your LangChain application.\n" - ) - - logger.info("\tLANGSMITH_TRACING=true") - logger.info("\tLANGSMITH_ENDPOINT=http://localhost:80/api\n") - self._open_browser("http://localhost") - - def pull( - self, - *, - version: str = "0.5.7", - ) -> None: - """Pull the latest LangSmith images. - - Args: - version: The LangSmith version to use for LangSmith. Defaults to 0.5.7 - """ - os.environ["_LANGSMITH_IMAGE_VERSION"] = version - subprocess.run( - [ - *self.docker_compose_command, - "-f", - str(self.docker_compose_file), - "pull", - ] - ) - - def start( - self, - *, - openai_api_key: Optional[str] = None, - langsmith_license_key: str, - version: str = "0.5.7", - ) -> None: - """Run the LangSmith server locally. - - Args: - openai_api_key: The OpenAI API key to use for LangSmith - If not provided, the OpenAI API Key will be read from the - OPENAI_API_KEY environment variable. If neither are provided, - some features of LangSmith will not be available. - langsmith_license_key: The LangSmith license key to use for LangSmith - If not provided, the LangSmith license key will be read from the - LANGSMITH_LICENSE_KEY environment variable. If neither are provided, - Langsmith will not start up. - version: The LangSmith version to use for LangSmith. Defaults to latest. - """ - if openai_api_key is not None: - os.environ["OPENAI_API_KEY"] = openai_api_key - if langsmith_license_key is not None: - os.environ["LANGSMITH_LICENSE_KEY"] = langsmith_license_key - self.pull(version=version) - self._start_local() - - def stop(self, clear_volumes: bool = False) -> None: - """Stop the LangSmith server.""" - cmd = [ - *self.docker_compose_command, - "-f", - str(self.docker_compose_file), - "down", - ] - if clear_volumes: - confirm = input( - "You are about to delete all the locally cached " - "LangSmith containers and volumes. " - "This operation cannot be undone. Are you sure? [y/N]" - ) - if confirm.lower() != "y": - print("Aborting.") - return - cmd.append("--volumes") - - subprocess.run(cmd) - - def logs(self) -> None: - """Print the logs from the LangSmith server.""" - subprocess.run( - [ - *self.docker_compose_command, - "-f", - str(self.docker_compose_file), - "logs", - ] - ) - - def status(self) -> None: - """Provide information about the status LangSmith server.""" - command = [ - *self.docker_compose_command, - "-f", - str(self.docker_compose_file), - "ps", - "--format", - "json", - ] - - result = subprocess.run( - command, - stdout=subprocess.PIPE, - stderr=subprocess.PIPE, - ) - try: - command_stdout = result.stdout.decode("utf-8") - services_status = json.loads(command_stdout) - except json.JSONDecodeError: - logger.error("Error checking LangSmith server status.") - return - if services_status: - logger.info("The LangSmith server is currently running.") - pprint_services(services_status) - else: - logger.info("The LangSmith server is not running.") - return - - -def env() -> None: - """Print the runtime environment information.""" - env = ls_env.get_runtime_environment() - env.update(ls_env.get_docker_environment()) - env.update(ls_env.get_langchain_env_vars()) - - # calculate the max length of keys - max_key_length = max(len(key) for key in env.keys()) - - logger.info("LangChain Environment:") - for k, v in env.items(): - logger.info(f"{k:{max_key_length}}: {v}") - - -def main() -> None: - """Main entrypoint for the CLI.""" - print("BY USING THIS SOFTWARE YOU AGREE TO THE TERMS OF SERVICE AT:") - print("https://smith.langchain.com/terms-of-service.pdf") - - parser = argparse.ArgumentParser() - subparsers = parser.add_subparsers(description="LangSmith CLI commands") - - server_command = LangSmithCommand() - server_start_parser = subparsers.add_parser( - "start", description="Start the LangSmith server." - ) - server_start_parser.add_argument( - "--openai-api-key", - default=os.getenv("OPENAI_API_KEY"), - help="The OpenAI API key to use for LangSmith." - " If not provided, the OpenAI API Key will be read from the" - " OPENAI_API_KEY environment variable. If neither are provided," - " some features of LangSmith will not be available.", - ) - server_start_parser.add_argument( - "--langsmith-license-key", - default=os.getenv("LANGSMITH_LICENSE_KEY"), - help="The LangSmith license key to use for LangSmith." - " If not provided, the LangSmith License Key will be read from the" - " LANGSMITH_LICENSE_KEY environment variable. If neither are provided," - " the Langsmith application will not spin up.", - ) - server_start_parser.add_argument( - "--version", - default="0.5.7", - help="The LangSmith version to use for LangSmith. Defaults to 0.5.7.", - ) - server_start_parser.set_defaults( - func=lambda args: server_command.start( - openai_api_key=args.openai_api_key, - langsmith_license_key=args.langsmith_license_key, - version=args.version, - ) - ) - - server_stop_parser = subparsers.add_parser( - "stop", description="Stop the LangSmith server." - ) - server_stop_parser.add_argument( - "--clear-volumes", - action="store_true", - help="Delete all the locally cached LangSmith containers and volumes.", - ) - server_stop_parser.set_defaults( - func=lambda args: server_command.stop(clear_volumes=args.clear_volumes) - ) - - server_pull_parser = subparsers.add_parser( - "pull", description="Pull the latest LangSmith images." - ) - server_pull_parser.add_argument( - "--version", - default="0.5.7", - help="The LangSmith version to use for LangSmith. Defaults to 0.5.7.", - ) - server_pull_parser.set_defaults( - func=lambda args: server_command.pull(version=args.version) - ) - server_logs_parser = subparsers.add_parser( - "logs", description="Show the LangSmith server logs." - ) - server_logs_parser.set_defaults(func=lambda args: server_command.logs()) - server_status_parser = subparsers.add_parser( - "status", description="Show the LangSmith server status." - ) - server_status_parser.set_defaults(func=lambda args: server_command.status()) - env_parser = subparsers.add_parser("env") - env_parser.set_defaults(func=lambda args: env()) - - args = parser.parse_args() - if not hasattr(args, "func"): - parser.print_help() - return - args.func(args) - - -if __name__ == "__main__": - main() diff --git a/python/langsmith/cli/users.xml b/python/langsmith/cli/users.xml deleted file mode 100644 index 996448545..000000000 --- a/python/langsmith/cli/users.xml +++ /dev/null @@ -1,21 +0,0 @@ - - - - 1 - 1 - 1 - 1 - default - - - - - 1 - 2000000 - 0 - 1 - 0 - 0 - - - diff --git a/python/langsmith/client.py b/python/langsmith/client.py index c7bb8299c..db7022d6c 100644 --- a/python/langsmith/client.py +++ b/python/langsmith/client.py @@ -77,9 +77,6 @@ from langsmith._internal._background_thread import ( tracing_control_thread_func as _tracing_control_thread_func, ) -from langsmith._internal._background_thread import ( - tracing_control_thread_func_compress_parallel as _tracing_control_thread_func_compress_parallel, -) from langsmith._internal._beta_decorator import warn_beta from langsmith._internal._compressed_runs import CompressedRuns from langsmith._internal._constants import ( @@ -476,13 +473,6 @@ def __init__( # Create a session and register a finalizer to close it session_ = session if session else requests.Session() self.session = session_ - if ls_utils.get_env_var("USE_RUN_COMPRESSION"): - self._futures: set[cf.Future] = set() - self.compressed_runs: Optional[CompressedRuns] = CompressedRuns() - self._data_available_event = threading.Event() - else: - self.compressed_runs = None - self._info = ( info if info is None or isinstance(info, ls_schemas.LangSmithInfo) @@ -490,17 +480,12 @@ def __init__( ) weakref.finalize(self, close_session, self.session) atexit.register(close_session, session_) + self.compressed_runs: Optional[CompressedRuns] = None + self._data_available_event: Optional[threading.Event] = None + self._futures: Optional[set[cf.Future]] = None # Initialize auto batching - if auto_batch_tracing and self.compressed_runs is not None: - self.tracing_queue: Optional[PriorityQueue] = None - threading.Thread( - target=_tracing_control_thread_func_compress_parallel, - # arg must be a weakref to self to avoid the Thread object - # preventing garbage collection of the Client object - args=(weakref.ref(self),), - ).start() - elif auto_batch_tracing: - self.tracing_queue = PriorityQueue() + if auto_batch_tracing: + self.tracing_queue: Optional[PriorityQueue] = PriorityQueue() threading.Thread( target=_tracing_control_thread_func, @@ -1222,6 +1207,7 @@ def create_run( *, project_name: Optional[str] = None, revision_id: Optional[str] = None, + dangerously_allow_filesystem: bool = False, **kwargs: Any, ) -> None: """Persist a run to the LangSmith API. @@ -1285,6 +1271,17 @@ def create_run( ) self._insert_runtime_env([run_create]) + if run_create.get("attachments") is not None: + for attachment in run_create["attachments"].values(): + if ( + isinstance(attachment, tuple) + and isinstance(attachment[1], Path) + and not dangerously_allow_filesystem + ): + raise ValueError( + "Must set dangerously_allow_filesystem=True to allow passing in Paths for attachments." + ) + if ( # batch ingest requires trace_id and dotted_order to be set run_create.get("trace_id") is not None @@ -1293,8 +1290,12 @@ def create_run( if self._pyo3_client is not None: self._pyo3_client.create_run(run_create) elif self.compressed_runs is not None: + if self._data_available_event is None: + raise ValueError( + "Run compression is enabled but threading event is not configured" + ) serialized_op = serialize_run_dict("post", run_create) - multipart_form = ( + multipart_form, _ = ( serialized_run_operation_to_multipart_parts_and_context( serialized_op ) @@ -1593,11 +1594,14 @@ def _multipart_ingest_ops( self, ops: list[Union[SerializedRunOperation, SerializedFeedbackOperation]] ) -> None: parts: list[MultipartPartsAndContext] = [] + opened_files_dict: Dict[str, io.BufferedReader] = {} for op in ops: if isinstance(op, SerializedRunOperation): - parts.append( + part, opened_files = ( serialized_run_operation_to_multipart_parts_and_context(op) ) + parts.append(part) + opened_files_dict.update(opened_files) elif isinstance(op, SerializedFeedbackOperation): parts.append( serialized_feedback_operation_to_multipart_parts_and_context(op) @@ -1606,7 +1610,10 @@ def _multipart_ingest_ops( logger.error("Unknown operation type in tracing queue: %s", type(op)) acc_multipart = join_multipart_parts_and_context(parts) if acc_multipart: - self._send_multipart_req(acc_multipart) + try: + self._send_multipart_req(acc_multipart) + finally: + _close_files(list(opened_files_dict.values())) def multipart_ingest( self, @@ -1618,6 +1625,7 @@ def multipart_ingest( ] = None, *, pre_sampled: bool = False, + dangerously_allow_filesystem: bool = False, ) -> None: """Batch ingest/upsert multiple runs in the Langsmith system. @@ -1766,6 +1774,18 @@ def multipart_ingest( ) ) + for op in serialized_ops: + if isinstance(op, SerializedRunOperation) and op.attachments: + for attachment in op.attachments.values(): + if ( + isinstance(attachment, tuple) + and isinstance(attachment[1], Path) + and not dangerously_allow_filesystem + ): + raise ValueError( + "Must set dangerously_allow_filesystem=True to allow passing in Paths for attachments." + ) + # sent the runs in multipart requests self._multipart_ingest_ops(serialized_ops) @@ -1895,6 +1915,7 @@ def update_run( extra: Optional[Dict] = None, tags: Optional[List[str]] = None, attachments: Optional[ls_schemas.Attachments] = None, + dangerously_allow_filesystem: bool = False, **kwargs: Any, ) -> None: """Update a run in the LangSmith API. @@ -1958,6 +1979,15 @@ def update_run( "session_name": kwargs.pop("session_name", None), } if attachments: + for _, attachment in attachments.items(): + if ( + isinstance(attachment, tuple) + and isinstance(attachment[1], Path) + and not dangerously_allow_filesystem + ): + raise ValueError( + "Must set dangerously_allow_filesystem=True to allow passing in Paths for attachments." + ) data["attachments"] = attachments use_multipart = ( (self.tracing_queue is not None or self.compressed_runs is not None) @@ -1989,12 +2019,16 @@ def update_run( elif use_multipart: serialized_op = serialize_run_dict(operation="patch", payload=data) if self.compressed_runs is not None: - multipart_form = ( + multipart_form, _ = ( serialized_run_operation_to_multipart_parts_and_context( serialized_op ) ) with self.compressed_runs.lock: + if self._data_available_event is None: + raise ValueError( + "Run compression is enabled but threading event is not configured" + ) compress_multipart_parts_and_context( multipart_form, self.compressed_runs, @@ -2030,6 +2064,11 @@ def flush_compressed_runs(self, attempts: int = 3) -> None: if self.compressed_runs is None: return + if self._futures is None: + raise ValueError( + "Run compression is enabled but request pool futures is not set" + ) + # Attempt to drain and send any remaining data from langsmith._internal._background_thread import ( HTTP_REQUEST_THREAD_POOL, @@ -2129,7 +2168,12 @@ def read_run( response = self.request_with_retries( "GET", f"/runs/{_as_uuid(run_id, 'run_id')}" ) - run = ls_schemas.Run(**response.json(), _host_url=self._host_url) + attachments = _convert_stored_attachments_to_attachments_dict( + response.json(), attachments_key="s3_urls" + ) + run = ls_schemas.Run( + attachments=attachments, **response.json(), _host_url=self._host_url + ) if load_child_runs and run.child_run_ids: run = self._load_child_runs(run) return run @@ -2310,7 +2354,13 @@ def list_runs( for i, run in enumerate( self._get_cursor_paginated_list("/runs/query", body=body_query) ): - yield ls_schemas.Run(**run, _host_url=self._host_url) + # Should this be behind a flag? + attachments = _convert_stored_attachments_to_attachments_dict( + run, attachments_key="s3_urls" + ) + yield ls_schemas.Run( + attachments=attachments, **run, _host_url=self._host_url + ) if limit is not None and i + 1 >= limit: break @@ -3854,8 +3904,10 @@ def _prepare_multipart_data( | List[ls_schemas.ExampleUpdateWithAttachments], ], include_dataset_id: bool = False, - ) -> Tuple[Any, bytes]: + dangerously_allow_filesystem: bool = False, + ) -> tuple[Any, bytes, Dict[str, io.BufferedReader]]: parts: List[MultipartPart] = [] + opened_files_dict: Dict[str, io.BufferedReader] = {} if include_dataset_id: if not isinstance(examples[0], ls_schemas.ExampleUpsertWithAttachments): raise ValueError( @@ -3936,34 +3988,29 @@ def _prepare_multipart_data( ) if example.attachments: - for name, attachment in example.attachments.items(): - if isinstance(attachment, tuple): - if isinstance(attachment[1], Path): - mime_type, file_path = attachment - file_size = os.path.getsize(file_path) + for name, (mime_type, attachment_data) in example.attachments.items(): + if isinstance(attachment_data, Path): + if dangerously_allow_filesystem: + file_size = os.path.getsize(attachment_data) + file = open(attachment_data, "rb") + opened_files_dict[ + str(attachment_data) + str(uuid.uuid4()) + ] = file + parts.append( ( f"{example_id}.attachment.{name}", ( None, - open(file_path, "rb"), # type: ignore[arg-type] + file, # type: ignore[arg-type] f"{mime_type}; length={file_size}", {}, ), ) ) else: - mime_type, data = attachment - parts.append( - ( - f"{example_id}.attachment.{name}", - ( - None, - data, - f"{mime_type}; length={len(data)}", - {}, - ), - ) + raise ValueError( + "dangerously_allow_filesystem must be True to upload files from the filesystem" ) else: parts.append( @@ -3971,8 +4018,8 @@ def _prepare_multipart_data( f"{example_id}.attachment.{name}", ( None, - attachment.data, - f"{attachment.mime_type}; length={len(attachment.data)}", + attachment_data, + f"{mime_type}; length={len(attachment_data)}", {}, ), ) @@ -4001,13 +4048,14 @@ def _prepare_multipart_data( else: data = encoder - return encoder, data + return encoder, data, opened_files_dict def update_examples_multipart( self, *, dataset_id: ID_TYPE, updates: Optional[List[ls_schemas.ExampleUpdateWithAttachments]] = None, + dangerously_allow_filesystem: bool = False, ) -> ls_schemas.UpsertExamplesResponse: """Update examples using multipart. @@ -4027,20 +4075,27 @@ def update_examples_multipart( if updates is None: updates = [] - encoder, data = self._prepare_multipart_data(updates, include_dataset_id=False) + encoder, data, opened_files_dict = self._prepare_multipart_data( + updates, + include_dataset_id=False, + dangerously_allow_filesystem=dangerously_allow_filesystem, + ) - response = self.request_with_retries( - "PATCH", - f"/v1/platform/datasets/{dataset_id}/examples", - request_kwargs={ - "data": data, - "headers": { - **self._headers, - "Content-Type": encoder.content_type, + try: + response = self.request_with_retries( + "PATCH", + f"/v1/platform/datasets/{dataset_id}/examples", + request_kwargs={ + "data": data, + "headers": { + **self._headers, + "Content-Type": encoder.content_type, + }, }, - }, - ) - ls_utils.raise_for_status_with_text(response) + ) + ls_utils.raise_for_status_with_text(response) + finally: + _close_files(list(opened_files_dict.values())) return response.json() def upload_examples_multipart( @@ -4048,6 +4103,7 @@ def upload_examples_multipart( *, dataset_id: ID_TYPE, uploads: Optional[List[ls_schemas.ExampleUploadWithAttachments]] = None, + dangerously_allow_filesystem: bool = False, ) -> ls_schemas.UpsertExamplesResponse: """Upload examples using multipart. @@ -4069,26 +4125,34 @@ def upload_examples_multipart( ) if uploads is None: uploads = [] - encoder, data = self._prepare_multipart_data(uploads, include_dataset_id=False) + encoder, data, opened_files_dict = self._prepare_multipart_data( + uploads, + include_dataset_id=False, + dangerously_allow_filesystem=dangerously_allow_filesystem, + ) - response = self.request_with_retries( - "POST", - f"/v1/platform/datasets/{dataset_id}/examples", - request_kwargs={ - "data": data, - "headers": { - **self._headers, - "Content-Type": encoder.content_type, + try: + response = self.request_with_retries( + "POST", + f"/v1/platform/datasets/{dataset_id}/examples", + request_kwargs={ + "data": data, + "headers": { + **self._headers, + "Content-Type": encoder.content_type, + }, }, - }, - ) - ls_utils.raise_for_status_with_text(response) + ) + ls_utils.raise_for_status_with_text(response) + finally: + _close_files(list(opened_files_dict.values())) return response.json() def upsert_examples_multipart( self, *, upserts: Optional[List[ls_schemas.ExampleUpsertWithAttachments]] = None, + dangerously_allow_filesystem: bool = False, ) -> ls_schemas.UpsertExamplesResponse: """Upsert examples. @@ -4104,20 +4168,27 @@ def upsert_examples_multipart( if upserts is None: upserts = [] - encoder, data = self._prepare_multipart_data(upserts, include_dataset_id=True) + encoder, data, opened_files_dict = self._prepare_multipart_data( + upserts, + include_dataset_id=True, + dangerously_allow_filesystem=dangerously_allow_filesystem, + ) - response = self.request_with_retries( - "POST", - "/v1/platform/examples/multipart", - request_kwargs={ - "data": data, - "headers": { - **self._headers, - "Content-Type": encoder.content_type, + try: + response = self.request_with_retries( + "POST", + "/v1/platform/examples/multipart", + request_kwargs={ + "data": data, + "headers": { + **self._headers, + "Content-Type": encoder.content_type, + }, }, - }, - ) - ls_utils.raise_for_status_with_text(response) + ) + ls_utils.raise_for_status_with_text(response) + finally: + _close_files(list(opened_files_dict.values())) return response.json() def create_examples( @@ -4306,17 +4377,9 @@ def read_example( ) example = response.json() - attachments = {} - if example.get("attachment_urls"): - for key, value in example["attachment_urls"].items(): - response = requests.get(value["presigned_url"], stream=True) - response.raise_for_status() - reader = io.BytesIO(response.content) - attachments[key.removeprefix("attachment.")] = { - "presigned_url": value["presigned_url"], - "reader": reader, - "mime_type": value.get("mime_type"), - } + attachments = _convert_stored_attachments_to_attachments_dict( + example, attachments_key="attachment_urls" + ) return ls_schemas.Example( **{k: v for k, v in example.items() if k != "attachment_urls"}, @@ -4441,17 +4504,9 @@ def list_examples( for i, example in enumerate( self._get_paginated_list("/examples", params=params) ): - attachments = {} - if example.get("attachment_urls"): - for key, value in example["attachment_urls"].items(): - response = requests.get(value["presigned_url"], stream=True) - response.raise_for_status() - reader = io.BytesIO(response.content) - attachments[key.removeprefix("attachment.")] = { - "presigned_url": value["presigned_url"], - "reader": reader, - "mime_type": value.get("mime_type"), - } + attachments = _convert_stored_attachments_to_attachments_dict( + example, attachments_key="attachment_urls" + ) yield ls_schemas.Example( **{k: v for k, v in example.items() if k != "attachment_urls"}, @@ -5701,7 +5756,7 @@ def create_annotation_queue( body = { "name": name, "description": description, - "id": queue_id or str(uuid.uuid4()), + "id": str(queue_id) if queue_id is not None else str(uuid.uuid4()), } response = self.request_with_retries( "POST", @@ -7232,3 +7287,29 @@ def convert_prompt_to_anthropic_format( return anthropic._get_request_payload(messages, stop=stop) except Exception as e: raise ls_utils.LangSmithError(f"Error converting to Anthropic format: {e}") + + +def _convert_stored_attachments_to_attachments_dict(data, *, attachments_key): + """Convert attachments from the backend database format to the user facing format.""" + attachments_dict = {} + if attachments_key in data and data[attachments_key]: + for key, value in data[attachments_key].items(): + response = requests.get(value["presigned_url"], stream=True) + response.raise_for_status() + reader = io.BytesIO(response.content) + attachments_dict[key.removeprefix("attachment.")] = { + "presigned_url": value["presigned_url"], + "reader": reader, + "mime_type": value.get("mime_type"), + } + return attachments_dict + + +def _close_files(files: List[io.BufferedReader]) -> None: + """Close all opened files used in multipart requests.""" + for file in files: + try: + file.close() + except Exception: + logger.debug("Could not close file: %s", file.name) + pass diff --git a/python/langsmith/evaluation/_arunner.py b/python/langsmith/evaluation/_arunner.py index 7b29241e6..d69ee2541 100644 --- a/python/langsmith/evaluation/_arunner.py +++ b/python/langsmith/evaluation/_arunner.py @@ -5,6 +5,7 @@ import asyncio import concurrent.futures as cf import datetime +import io import logging import pathlib import uuid @@ -47,7 +48,6 @@ _load_experiment, _load_tqdm, _load_traces, - _make_fresh_examples, _resolve_data, _resolve_evaluators, _resolve_experiment, @@ -480,7 +480,13 @@ async def _aevaluate( num_repetitions=num_repetitions, runs=runs, include_attachments=_include_attachments(target) - or _evaluators_include_attachments(evaluators), + or _evaluators_include_attachments(evaluators) > 0, + reuse_attachments=num_repetitions + * ( + int(_include_attachments(target)) + + _evaluators_include_attachments(evaluators) + ) + > 1, upload_results=upload_results, ).astart() cache_dir = ls_utils.get_cache_dir(None) @@ -491,15 +497,24 @@ async def _aevaluate( cache_path = None with ls_utils.with_optional_cache(cache_path, ignore_hosts=[client.api_url]): if is_async_target: - manager = await manager.awith_predictions( - cast(ATARGET_T, target), max_concurrency=max_concurrency - ) - if evaluators: - manager = await manager.awith_evaluators( - evaluators, max_concurrency=max_concurrency - ) - if summary_evaluators: - manager = await manager.awith_summary_evaluators(summary_evaluators) + if evaluators: + # Run predictions and evaluations in a single pipeline + manager = await manager.awith_predictions_and_evaluators( + cast(ATARGET_T, target), evaluators, max_concurrency=max_concurrency + ) + else: + manager = await manager.awith_predictions( + cast(ATARGET_T, target), max_concurrency=max_concurrency + ) + if summary_evaluators: + manager = await manager.awith_summary_evaluators(summary_evaluators) + else: + if evaluators: + manager = await manager.awith_evaluators( + evaluators, max_concurrency=max_concurrency + ) + if summary_evaluators: + manager = await manager.awith_summary_evaluators(summary_evaluators) results = AsyncExperimentResults(manager) if blocking: await results.wait() @@ -528,6 +543,18 @@ class _AsyncExperimentManager(_ExperimentManagerMixin): sresults for the experiment. summary_results (Optional[Iterable[EvaluationResults]]): The aggregate results for the experiment. + num_repetitions (Optional[int], default=1): The number of repetitions for + the experiment. + include_attachments (Optional[bool], default=False): Whether to include + attachments. This is used for when we pull the examples for the experiment. + reuse_attachments (Optional[bool], default=False): Whether to reuse attachments + from examples. This is True if we need to reuse attachments across multiple + target/evaluator functions. + upload_results (Optional[bool], default=True): Whether to upload results + to Langsmith. + attachment_raw_data_dict (Optional[dict]): A dictionary to store raw data + for attachments. Only used if we reuse attachments across multiple + target/evaluator functions. """ def __init__( @@ -543,7 +570,9 @@ def __init__( description: Optional[str] = None, num_repetitions: int = 1, include_attachments: bool = False, + reuse_attachments: bool = False, upload_results: bool = True, + attachment_raw_data_dict: Optional[dict] = None, ): super().__init__( experiment=experiment, @@ -560,7 +589,54 @@ def __init__( self._summary_results = summary_results self._num_repetitions = num_repetitions self._include_attachments = include_attachments + self._reuse_attachments = reuse_attachments self._upload_results = upload_results + self._attachment_raw_data_dict = attachment_raw_data_dict + + def _reset_example_attachments(self, example: schemas.Example) -> schemas.Example: + """Reset attachment readers for an example. + + This is only in the case that an attachment is going to be used by more + than 1 callable (target + evaluators). In that case we keep a single copy + of the attachment data in self._attachment_raw_data_dict, and create + readers from that data. This makes it so that we don't have to keep + copies of the same data in memory, instead we can just create readers + from the same data. + """ + if not hasattr(example, "attachments") or not example.attachments: + return example + + new_attachments: dict[str, schemas.AttachmentInfo] = {} + for name, attachment in example.attachments.items(): + if ( + self._attachment_raw_data_dict is not None + and str(example.id) + name in self._attachment_raw_data_dict + ): + new_attachments[name] = { + "presigned_url": attachment["presigned_url"], + "reader": io.BytesIO( + self._attachment_raw_data_dict[str(example.id) + name] + ), + "mime_type": attachment["mime_type"], + } + else: + new_attachments[name] = attachment + + # Create a new Example instance with the updated attachments + return schemas.Example( + id=example.id, + created_at=example.created_at, + dataset_id=example.dataset_id, + inputs=example.inputs, + outputs=example.outputs, + metadata=example.metadata, + modified_at=example.modified_at, + runs=example.runs, + source_run_id=example.source_run_id, + attachments=new_attachments, + _host_url=example._host_url, + _tenant_id=example._tenant_id, + ) async def aget_examples(self) -> AsyncIterator[schemas.Example]: if self._examples is None: @@ -569,11 +645,23 @@ async def aget_examples(self) -> AsyncIterator[schemas.Example]: client=self.client, include_attachments=self._include_attachments, ) + if self._reuse_attachments and self._attachment_raw_data_dict is None: + examples_copy, self._examples = aitertools.atee(self._examples) + self._attachment_raw_data_dict = { + str(e.id) + name: value["reader"].read() + async for e in examples_copy + for name, value in (e.attachments or {}).items() + } if self._num_repetitions > 1: examples_list = [example async for example in self._examples] self._examples = async_chain_from_iterable( [ - async_iter_from_list(_make_fresh_examples(examples_list)) + async_iter_from_list( + [ + self._reset_example_attachments(example) + for example in examples_list + ] + ) for _ in range(self._num_repetitions) ] ) @@ -639,6 +727,104 @@ async def astart(self) -> _AsyncExperimentManager: runs=self._runs, evaluation_results=self._evaluation_results, include_attachments=self._include_attachments, + reuse_attachments=self._reuse_attachments, + upload_results=self._upload_results, + attachment_raw_data_dict=self._attachment_raw_data_dict, + ) + + def _get_example_with_readers(self, example: schemas.Example) -> schemas.Example: + new_attachments: dict[str, schemas.AttachmentInfo] = {} + for name, attachment in (example.attachments or {}).items(): + if ( + self._attachment_raw_data_dict is not None + and str(example.id) + name in self._attachment_raw_data_dict + ): + reader = io.BytesIO( + self._attachment_raw_data_dict[str(example.id) + name] + ) + new_attachments[name] = { + "presigned_url": attachment["presigned_url"], + "reader": reader, + "mime_type": attachment["mime_type"], + } + else: + new_attachments[name] = attachment + + return schemas.Example( + id=example.id, + created_at=example.created_at, + dataset_id=example.dataset_id, + inputs=example.inputs, + outputs=example.outputs, + metadata=example.metadata, + modified_at=example.modified_at, + runs=example.runs, + source_run_id=example.source_run_id, + attachments=new_attachments, + _host_url=example._host_url, + _tenant_id=example._tenant_id, + ) + + async def awith_predictions_and_evaluators( + self, + target: ATARGET_T, + evaluators: Sequence[Union[EVALUATOR_T, AEVALUATOR_T]], + /, + max_concurrency: Optional[int] = None, + ) -> _AsyncExperimentManager: + """Run predictions and evaluations in a single pipeline. + + This allows evaluators to process results as soon as they're available from + the target function, rather than waiting for all predictions to complete first. + """ + evaluators = _resolve_evaluators(evaluators) + + if not hasattr(self, "_evaluator_executor"): + self._evaluator_executor = cf.ThreadPoolExecutor(max_workers=4) + + async def process_examples(): + """Create a single task per example. + + That task is to run the target function and all the evaluators + sequentially. + """ + async for pred in self._apredict( + target, + max_concurrency=max_concurrency, + include_attachments=_include_attachments(target), + ): + example, run = pred["example"], pred["run"] + result = self._arun_evaluators( + evaluators, + { + "run": run, + "example": example, + "evaluation_results": {"results": []}, + }, + executor=self._evaluator_executor, + ) + yield result + + # Run the per-example tasks with max-concurrency + # This guarantees that max_concurrency is the upper limit + # for the number of target/evaluators that can be run in parallel + experiment_results = aitertools.aiter_with_concurrency( + max_concurrency, + process_examples(), + _eager_consumption_timeout=0.001, + ) + + r1, r2, r3 = aitertools.atee(experiment_results, 3, lock=asyncio.Lock()) + + return _AsyncExperimentManager( + (result["example"] async for result in r1), + experiment=self._experiment, + metadata=self._metadata, + client=self.client, + runs=(result["run"] async for result in r2), + evaluation_results=(result["evaluation_results"] async for result in r3), + summary_results=self._summary_results, + include_attachments=self._include_attachments, upload_results=self._upload_results, ) @@ -740,7 +926,7 @@ async def predict_all(): # Yield the coroutine to be awaited later yield _aforward( fn, - example, + self._get_example_with_readers(example), self.experiment_name, self._metadata, self.client, @@ -796,19 +982,22 @@ async def _arun_evaluators( run = current_results["run"] example = current_results["example"] eval_results = current_results["evaluation_results"] - for evaluator in evaluators: + + async def _run_single_evaluator(evaluator): try: evaluator_response = await evaluator.aevaluate_run( run=run, - example=example, + example=self._get_example_with_readers(example), ) - eval_results["results"].extend( - self.client._select_eval_results(evaluator_response) + selected_results = self.client._select_eval_results( + evaluator_response ) + if self._upload_results: self.client._log_evaluation_feedback( evaluator_response, run=run, _executor=executor ) + return selected_results except Exception as e: try: feedback_keys = _extract_feedback_keys(evaluator) @@ -824,13 +1013,14 @@ async def _arun_evaluators( for key in feedback_keys ] ) - eval_results["results"].extend( - self.client._select_eval_results(error_response) + selected_results = self.client._select_eval_results( + error_response ) if self._upload_results: self.client._log_evaluation_feedback( error_response, run=run, _executor=executor ) + return selected_results except Exception as e2: logger.debug(f"Error parsing feedback keys: {e2}") pass @@ -839,15 +1029,14 @@ async def _arun_evaluators( f" run {run.id}: {repr(e)}", exc_info=True, ) - logger.error( - f"Error running evaluator {repr(evaluator)} on" - f" run {run.id}: {repr(e)}", - exc_info=True, - ) - if example.attachments is not None: - for attachment in example.attachments: - reader = example.attachments[attachment]["reader"] - reader.seek(0) + + all_results = [] + for evaluator in evaluators: + all_results.append(await _run_single_evaluator(evaluator)) + + for result in all_results: + if result is not None: + eval_results["results"].extend(result) return ExperimentResultRow( run=run, example=example, @@ -1064,10 +1253,6 @@ def _get_run(r: run_trees.RunTree) -> None: client=client, ), ) - if include_attachments and example.attachments is not None: - for attachment in example.attachments: - reader = example.attachments[attachment]["reader"] - reader.seek(0) except Exception as e: logger.error( f"Error running target function: {e}", exc_info=True, stacklevel=1 diff --git a/python/langsmith/evaluation/_runner.py b/python/langsmith/evaluation/_runner.py index b680973b5..a464f9cf2 100644 --- a/python/langsmith/evaluation/_runner.py +++ b/python/langsmith/evaluation/_runner.py @@ -37,7 +37,6 @@ cast, ) -import requests from typing_extensions import TypedDict, overload import langsmith @@ -1067,7 +1066,7 @@ def _evaluate( runs=runs, # Create or resolve the experiment. include_attachments=_include_attachments(target) - or _evaluators_include_attachments(evaluators), + or _evaluators_include_attachments(evaluators) > 0, upload_results=upload_results, ).start() cache_dir = ls_utils.get_cache_dir(None) @@ -1317,7 +1316,9 @@ def __init__( description: Optional[str] = None, num_repetitions: int = 1, include_attachments: bool = False, + reuse_attachments: bool = False, upload_results: bool = True, + attachment_raw_data_dict: Optional[dict] = None, ): super().__init__( experiment=experiment, @@ -1332,7 +1333,56 @@ def __init__( self._summary_results = summary_results self._num_repetitions = num_repetitions self._include_attachments = include_attachments + self._reuse_attachments = reuse_attachments self._upload_results = upload_results + self._attachment_raw_data_dict = attachment_raw_data_dict + + def _reset_example_attachment_readers( + self, example: schemas.Example + ) -> schemas.Example: + """Reset attachment readers for an example. + + This is only in the case that an attachment is going to be used by more + than 1 callable (target + evaluators). In that case we keep a single copy + of the attachment data in self._attachment_raw_data_dict, and create + readers from that data. This makes it so that we don't have to keep + copies of the same data in memory, instead we can just create readers + from the same data. + """ + if not hasattr(example, "attachments") or not example.attachments: + return example + + new_attachments: dict[str, schemas.AttachmentInfo] = {} + for name, attachment in example.attachments.items(): + if ( + self._attachment_raw_data_dict is not None + and str(example.id) + name in self._attachment_raw_data_dict + ): + new_attachments[name] = { + "presigned_url": attachment["presigned_url"], + "reader": io.BytesIO( + self._attachment_raw_data_dict[str(example.id) + name] + ), + "mime_type": attachment["mime_type"], + } + else: + new_attachments[name] = attachment + + # Create a new Example instance with the updated attachments + return schemas.Example( + id=example.id, + created_at=example.created_at, + dataset_id=example.dataset_id, + inputs=example.inputs, + outputs=example.outputs, + metadata=example.metadata, + modified_at=example.modified_at, + runs=example.runs, + source_run_id=example.source_run_id, + attachments=new_attachments, + _host_url=example._host_url, + _tenant_id=example._tenant_id, + ) @property def examples(self) -> Iterable[schemas.Example]: @@ -1342,10 +1392,20 @@ def examples(self) -> Iterable[schemas.Example]: client=self.client, include_attachments=self._include_attachments, ) + if self._reuse_attachments and self._attachment_raw_data_dict is None: + examples_copy, self._examples = itertools.tee(self._examples) + self._attachment_raw_data_dict = { + str(e.id) + name: value["reader"].read() + for e in examples_copy + for name, value in (e.attachments or {}).items() + } if self._num_repetitions > 1: examples_list = list(self._examples) self._examples = itertools.chain.from_iterable( - _make_fresh_examples(examples_list) + [ + self._reset_example_attachment_readers(example) + for example in examples_list + ] for _ in range(self._num_repetitions) ) self._examples, examples_iter = itertools.tee(self._examples) @@ -1390,7 +1450,9 @@ def start(self) -> _ExperimentManager: runs=self._runs, evaluation_results=self._evaluation_results, include_attachments=self._include_attachments, + reuse_attachments=self._reuse_attachments, upload_results=self._upload_results, + attachment_raw_data_dict=self._attachment_raw_data_dict, ) def with_predictions( @@ -1929,11 +1991,11 @@ def _ensure_traceable( def _evaluators_include_attachments( evaluators: Optional[Sequence[Union[EVALUATOR_T, AEVALUATOR_T]]], -) -> bool: +) -> int: if evaluators is None: - return False + return 0 - def evaluator_has_attachments(evaluator: Any) -> bool: + def evaluator_uses_attachments(evaluator: Any) -> bool: if not callable(evaluator): return False sig = inspect.signature(evaluator) @@ -1943,7 +2005,7 @@ def evaluator_has_attachments(evaluator: Any) -> bool: ] return any(p.name == "attachments" for p in positional_params) - return any(evaluator_has_attachments(e) for e in evaluators) + return sum(evaluator_uses_attachments(e) for e in evaluators) def _include_attachments( @@ -2232,43 +2294,3 @@ def _import_langchain_runnable() -> Optional[type]: def _is_langchain_runnable(o: Any) -> bool: return bool((Runnable := _import_langchain_runnable()) and isinstance(o, Runnable)) - - -def _reset_example_attachments(example: schemas.Example) -> schemas.Example: - """Reset attachment readers for an example.""" - if not hasattr(example, "attachments") or not example.attachments: - return example - - new_attachments = {} - for key, attachment in example.attachments.items(): - response = requests.get(attachment["presigned_url"], stream=True) - response.raise_for_status() - reader = io.BytesIO(response.content) - new_attachments[key] = { - "presigned_url": attachment["presigned_url"], - "reader": reader, - "mime_type": attachment.get("mime_type"), - } - - # Create a new Example instance with the updated attachments - return schemas.Example( - id=example.id, - created_at=example.created_at, - dataset_id=example.dataset_id, - inputs=example.inputs, - outputs=example.outputs, - metadata=example.metadata, - modified_at=example.modified_at, - runs=example.runs, - source_run_id=example.source_run_id, - attachments=new_attachments, - _host_url=example._host_url, - _tenant_id=example._tenant_id, - ) - - -def _make_fresh_examples( - _original_examples: List[schemas.Example], -) -> List[schemas.Example]: - """Create fresh copies of examples with reset readers.""" - return [_reset_example_attachments(example) for example in _original_examples] diff --git a/python/langsmith/run_helpers.py b/python/langsmith/run_helpers.py index 59f9a5a7e..9bac269a7 100644 --- a/python/langsmith/run_helpers.py +++ b/python/langsmith/run_helpers.py @@ -286,6 +286,7 @@ def traceable( process_inputs: Optional[Callable[[dict], dict]] = None, process_outputs: Optional[Callable[..., dict]] = None, _invocation_params_fn: Optional[Callable[[dict], dict]] = None, + dangerously_allow_filesystem: bool = False, ) -> Callable[[Callable[P, R]], SupportsLangsmithExtra[P, R]]: ... @@ -314,6 +315,12 @@ def traceable( Defaults to None. process_outputs: Custom serialization / processing function for outputs. Defaults to None. + dangerously_allow_filesystem: Whether to allow filesystem access for attachments. + Defaults to False. + + Traces that reference local filepaths will be uploaded to LangSmith. + In general, network-hosted applications should not be using this because + referenced files are usually on the user's machine, not the host machine. Returns: Union[Callable, Callable[[Callable], Callable]]: The decorated function. @@ -467,6 +474,7 @@ def manual_extra_function(x): run_type=run_type, process_inputs=kwargs.pop("process_inputs", None), invocation_params_fn=kwargs.pop("_invocation_params_fn", None), + dangerously_allow_filesystem=kwargs.pop("dangerously_allow_filesystem", False), ) outputs_processor = kwargs.pop("process_outputs", None) _on_run_end = functools.partial( @@ -1219,6 +1227,7 @@ class _ContainerInput(TypedDict, total=False): run_type: ls_client.RUN_TYPE_T process_inputs: Optional[Callable[[dict], dict]] invocation_params_fn: Optional[Callable[[dict], dict]] + dangerously_allow_filesystem: Optional[bool] def _container_end( @@ -1321,6 +1330,9 @@ def _setup_run( tags = container_input.get("tags") client = container_input.get("client") run_type = container_input.get("run_type") or "chain" + dangerously_allow_filesystem = container_input.get( + "dangerously_allow_filesystem", False + ) outer_project = _PROJECT_NAME.get() langsmith_extra = langsmith_extra or LangSmithExtra() name = langsmith_extra.get("name") or container_input.get("name") @@ -1424,6 +1436,7 @@ def _setup_run( tags=tags_, client=client_, # type: ignore attachments=attachments, + dangerously_allow_filesystem=dangerously_allow_filesystem, ) if utils.tracing_is_enabled() is True: try: diff --git a/python/langsmith/run_trees.py b/python/langsmith/run_trees.py index 403e7f972..e66a3bc7e 100644 --- a/python/langsmith/run_trees.py +++ b/python/langsmith/run_trees.py @@ -74,6 +74,9 @@ class RunTree(ls_schemas.RunBase): default="", description="The order of the run in the tree." ) trace_id: UUID = Field(default="", description="The trace id of the run.") # type: ignore + dangerously_allow_filesystem: Optional[bool] = Field( + default=False, description="Whether to allow filesystem access for attachments." + ) class Config: """Pydantic model configuration.""" @@ -293,6 +296,7 @@ def create_child( ls_client=self.ls_client, tags=tags, attachments=attachments or {}, + dangerously_allow_filesystem=self.dangerously_allow_filesystem, ) self.child_runs.append(run) return run @@ -331,7 +335,9 @@ def patch(self) -> None: """Patch the run tree to the API in a background thread.""" if not self.end_time: self.end() - attachments = self.attachments + attachments = { + a: v for a, v in self.attachments.items() if isinstance(v, tuple) + } try: # Avoid loading the same attachment twice if attachments: diff --git a/python/langsmith/schemas.py b/python/langsmith/schemas.py index 58515df77..7555a4b79 100644 --- a/python/langsmith/schemas.py +++ b/python/langsmith/schemas.py @@ -39,6 +39,8 @@ StrictInt, ) +from pathlib import Path + from typing_extensions import Literal SCORE_TYPE = Union[StrictBool, StrictInt, StrictFloat, None] @@ -60,10 +62,10 @@ def my_function(bar: int, my_val: Attachment): """ mime_type: str - data: bytes + data: Union[bytes, Path] -Attachments = Dict[str, Union[Tuple[str, bytes], Attachment]] +Attachments = Dict[str, Union[Tuple[str, bytes], Attachment, Tuple[str, Path]]] """Attachments associated with the run. Each entry is a tuple of (mime_type, bytes), or (mime_type, file_path)""" @@ -76,14 +78,14 @@ def read(self, size: int = -1) -> bytes: """Read function.""" ... - def write(self, b: bytes) -> int: - """Write function.""" - ... - def seek(self, offset: int, whence: int = 0) -> int: """Seek function.""" ... + def getvalue(self) -> bytes: + """Get value function.""" + ... + class ExampleBase(BaseModel): """Example base model.""" @@ -131,7 +133,7 @@ class AttachmentInfo(TypedDict): presigned_url: str reader: BinaryIOLike - mime_type: str + mime_type: Optional[str] class Example(ExampleBase): @@ -370,7 +372,9 @@ class RunBase(BaseModel): tags: Optional[List[str]] = None """Tags for categorizing or annotating the run.""" - attachments: Attachments = Field(default_factory=dict) + attachments: Union[Attachments, Dict[str, AttachmentInfo]] = Field( + default_factory=dict + ) """Attachments associated with the run. Each entry is a tuple of (mime_type, bytes).""" @@ -390,6 +394,11 @@ def __repr__(self): """Return a string representation of the RunBase object.""" return f"{self.__class__}(id={self.id}, name='{self.name}', run_type='{self.run_type}')" + class Config: + """Configuration class for the schema.""" + + arbitrary_types_allowed = True + class Run(RunBase): """Run schema when loading from the DB.""" diff --git a/python/langsmith/utils.py b/python/langsmith/utils.py index 3e8956d1a..d18222909 100644 --- a/python/langsmith/utils.py +++ b/python/langsmith/utils.py @@ -795,3 +795,15 @@ def _get_function_name(fn: Callable, depth: int = 0) -> str: return _get_function_name(fn.__call__, depth + 1) return str(fn) + + +def is_truish(val: Any) -> bool: + """Check if the value is truish. + + Args: + val (Any): The value to check. + + Returns: + bool: True if the value is truish, False otherwise. + """ + return val is True or val == "true" or val == "True" or val == "TRUE" or val == "1" diff --git a/python/poetry.lock b/python/poetry.lock index 30fb85057..5e1ad325f 100644 --- a/python/poetry.lock +++ b/python/poetry.lock @@ -13,74 +13,74 @@ files = [ [[package]] name = "anyio" -version = "4.5.2" +version = "4.8.0" description = "High level compatibility layer for multiple asynchronous event loop implementations" optional = false -python-versions = ">=3.8" +python-versions = ">=3.9" files = [ - 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bindings for Python" -optional = true +optional = false python-versions = ">=3.8" files = [ {file = "zstandard-0.23.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:bf0a05b6059c0528477fba9054d09179beb63744355cab9f38059548fedd46a9"}, @@ -2377,7 +2393,6 @@ cffi = {version = ">=1.11", markers = "platform_python_implementation == \"PyPy\ cffi = ["cffi (>=1.11)"] [extras] -compression = ["zstandard"] langsmith-pyo3 = ["langsmith-pyo3"] pytest = ["pytest", "rich"] vcr = [] @@ -2385,4 +2400,4 @@ vcr = [] [metadata] lock-version = "2.0" python-versions = ">=3.9,<4.0" -content-hash = "c58990372b2b1010ee7dc8a21b9b2666f64003c9e2e5646a67ee05825d7f19cc" +content-hash = "d0347b5dc7e6c2485553dd9ed857b52803980abf2338cdc171489cb29cb231fc" diff --git a/python/pyproject.toml b/python/pyproject.toml index 4f2a5992b..eae5265ad 100644 --- a/python/pyproject.toml +++ b/python/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "langsmith" -version = "0.2.11rc15" +version = "0.3.0" description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform." authors = ["LangChain "] license = "MIT" @@ -34,8 +34,7 @@ requests-toolbelt = "^1.0.0" # Enabled via `langsmith_pyo3` extra: `pip install langsmith[langsmith_pyo3]`. langsmith-pyo3 = { version = "^0.1.0rc2", optional = true } -# Enabled via `compression` extra: `pip install langsmith[compression]`. -zstandard = { version = "^0.23.0", optional = true } +zstandard = "^0.23.0" rich = {version = "^13.9.4", optional = true} pytest = {version = ">=7.0.0", optional = true} @@ -76,7 +75,6 @@ pytest-socket = "^0.7.0" [tool.poetry.extras] vcr = ["vcrpy"] langsmith_pyo3 = ["langsmith-pyo3"] -compression = ["zstandard"] pytest = ["pytest", "rich", "vcrpy"] [build-system] diff --git a/python/tests/integration_tests/test_async_client.py b/python/tests/integration_tests/test_async_client.py index ecd03c87f..c311fc434 100644 --- a/python/tests/integration_tests/test_async_client.py +++ b/python/tests/integration_tests/test_async_client.py @@ -276,3 +276,174 @@ async def check_feedbacks(): return len(feedbacks) == 3 await wait_for(check_feedbacks, timeout=10) + + feedbacks = [ + feedback async for feedback in async_client.list_feedback(run_ids=[run_id]) + ] + assert len(feedbacks) == 3 + + +@pytest.mark.asyncio +async def test_delete_feedback(async_client: AsyncClient): + """Test deleting feedback.""" + project_name = "__test_delete_feedback" + uuid.uuid4().hex[:8] + run_id = uuid.uuid4() + + await async_client.create_run( + name="test_run", + inputs={"input": "hello"}, + run_type="llm", + project_name=project_name, + id=run_id, + start_time=datetime.datetime.now(datetime.timezone.utc), + ) + + # Create feedback + feedback = await async_client.create_feedback( + run_id=run_id, + key="test_feedback", + value=1, + comment="test comment", + ) + + # Delete the feedback + await async_client.delete_feedback(feedback.id) + + # Verify feedback is deleted by checking list_feedback + feedbacks = [ + feedback async for feedback in async_client.list_feedback(run_ids=[run_id]) + ] + assert len(feedbacks) == 0 + + +@pytest.mark.asyncio +async def test_annotation_queue_crud(async_client: AsyncClient): + """Test basic CRUD operations for annotation queues.""" + queue_name = f"test_queue_{uuid.uuid4().hex[:8]}" + queue_id = uuid.uuid4() + + # Test creation + queue = await async_client.create_annotation_queue( + name=queue_name, description="Test queue", queue_id=queue_id + ) + assert queue.name == queue_name + assert queue.id == queue_id + + # Test reading + read_queue = await async_client.read_annotation_queue(queue_id) + assert read_queue.id == queue_id + assert read_queue.name == queue_name + + # Test updating + new_name = f"updated_{queue_name}" + await async_client.update_annotation_queue( + queue_id=queue_id, name=new_name, description="Updated description" + ) + + updated_queue = await async_client.read_annotation_queue(queue_id) + assert updated_queue.name == new_name + + # Test deletion + await async_client.delete_annotation_queue(queue_id) + + # Verify deletion + queues = [ + queue + async for queue in async_client.list_annotation_queues(queue_ids=[queue_id]) + ] + assert len(queues) == 0 + + +@pytest.mark.asyncio +async def test_list_annotation_queues(async_client: AsyncClient): + """Test listing and filtering annotation queues.""" + queue_names = [f"test_queue_{i}_{uuid.uuid4().hex[:8]}" for i in range(3)] + queue_ids = [] + + try: + # Create test queues + for name in queue_names: + queue = await async_client.create_annotation_queue( + name=name, description="Test queue" + ) + queue_ids.append(queue.id) + + # Test listing with various filters + queues = [ + queue + async for queue in async_client.list_annotation_queues( + queue_ids=queue_ids[:2], limit=2 + ) + ] + assert len(queues) == 2 + + # Test name filter + queues = [ + queue + async for queue in async_client.list_annotation_queues(name=queue_names[0]) + ] + assert len(queues) == 1 + assert queues[0].name == queue_names[0] + + # Test name_contains filter + queues = [ + queue + async for queue in async_client.list_annotation_queues( + name_contains="test_queue" + ) + ] + assert len(queues) >= 3 # Could be more if other tests left queues + + finally: + # Clean up + for queue_id in queue_ids: + await async_client.delete_annotation_queue(queue_id) + + +@pytest.mark.asyncio +async def test_annotation_queue_runs(async_client: AsyncClient): + """Test managing runs within an annotation queue.""" + queue_name = f"test_queue_{uuid.uuid4().hex[:8]}" + project_name = f"test_project_{uuid.uuid4().hex[:8]}" + + # Create a queue + queue = await async_client.create_annotation_queue( + name=queue_name, description="Test queue" + ) + + # Create some test runs + run_ids = [uuid.uuid4() for _ in range(3)] + for i in range(3): + await async_client.create_run( + name=f"test_run_{i}", + inputs={"input": f"test_{i}"}, + run_type="llm", + project_name=project_name, + start_time=datetime.datetime.now(datetime.timezone.utc), + id=run_ids[i], + ) + + # Add runs to queue + await async_client.add_runs_to_annotation_queue(queue_id=queue.id, run_ids=run_ids) + + # Test getting run at index + run_info = await async_client.get_run_from_annotation_queue( + queue_id=queue.id, index=0 + ) + assert run_info.id in run_ids + + # Test deleting a run from queue + await async_client.delete_run_from_annotation_queue( + queue_id=queue.id, run_id=run_ids[2] + ) + + # Test that runs are deleted + with pytest.raises(ls_utils.LangSmithAPIError): + await async_client.get_run_from_annotation_queue(queue_id=queue.id, index=2) + + run_1 = await async_client.get_run_from_annotation_queue(queue_id=queue.id, index=0) + run_2 = await async_client.get_run_from_annotation_queue(queue_id=queue.id, index=1) + assert sorted([run_1.id, run_2.id]) == sorted(run_ids[:2]) + + # Clean up + await async_client.delete_annotation_queue(queue.id) diff --git a/python/tests/integration_tests/test_client.py b/python/tests/integration_tests/test_client.py index 3aa72baa1..f4895067d 100644 --- a/python/tests/integration_tests/test_client.py +++ b/python/tests/integration_tests/test_client.py @@ -1,5 +1,6 @@ """LangSmith langchain_client Integration Tests.""" +import asyncio import datetime import io import logging @@ -10,6 +11,7 @@ import time import uuid from datetime import timedelta +from pathlib import Path from typing import Any, Callable, Dict from unittest import mock from uuid import uuid4 @@ -20,7 +22,7 @@ from requests_toolbelt import MultipartEncoder, MultipartEncoderMonitor from langsmith._internal._serde import dumps_json -from langsmith.client import ID_TYPE, Client +from langsmith.client import ID_TYPE, Client, _close_files from langsmith.evaluation import aevaluate, evaluate from langsmith.schemas import ( AttachmentsOperations, @@ -65,7 +67,7 @@ def langchain_client() -> Client: "dataset_examples_multipart_enabled": True, "examples_multipart_enabled": True, } - }, + } ) @@ -378,6 +380,41 @@ def test_persist_update_run(langchain_client: Client) -> None: langchain_client.delete_project(project_name=project_name) +def test_update_run_attachments(langchain_client: Client) -> None: + """Test the persist and update methods work as expected.""" + project_name = "__test_update_run_attachments" + uuid4().hex[:4] + if langchain_client.has_project(project_name): + langchain_client.delete_project(project_name=project_name) + try: + trace_id = uuid4() + start_time = datetime.datetime.now(datetime.timezone.utc) + run: dict = dict( + id=str(trace_id), + name="test_run", + run_type="llm", + inputs={"text": "hello world"}, + project_name=project_name, + api_url=os.getenv("LANGCHAIN_ENDPOINT"), + start_time=start_time, + extra={"extra": "extra"}, + trace_id=str(trace_id), + dotted_order=f"{start_time.strftime('%Y%m%dT%H%M%S%fZ')}{str(trace_id)}", + ) + langchain_client.create_run(**run) + run["outputs"] = {"output": ["Hi"]} + run["extra"]["foo"] = "bar" + run["name"] = "test_run_updated" + langchain_client.update_run(run["id"], **run) + wait_for(lambda: langchain_client.read_run(run["id"]).end_time is not None) + stored_run = langchain_client.read_run(run["id"]) + assert stored_run.name == run["name"] + assert str(stored_run.id) == run["id"] + assert stored_run.outputs == run["outputs"] + assert stored_run.start_time == run["start_time"].replace(tzinfo=None) + finally: + langchain_client.delete_project(project_name=project_name) + + @pytest.mark.parametrize("uri", ["http://localhost:1981", "http://api.langchain.minus"]) def test_error_surfaced_invalid_uri(uri: str) -> None: get_env_var.cache_clear() @@ -937,6 +974,254 @@ def test_multipart_ingest_empty( assert not caplog.records +def test_multipart_ingest_create_with_attachments_error( + langchain_client: Client, caplog: pytest.LogCaptureFixture +) -> None: + _session = "__test_multipart_ingest_create_with_attachments" + trace_a_id = uuid4() + current_time = datetime.datetime.now(datetime.timezone.utc).strftime( + "%Y%m%dT%H%M%S%fZ" + ) + + runs_to_create: list[dict] = [ + { + "id": str(trace_a_id), + "session_name": _session, + "name": "trace a root", + "run_type": "chain", + "dotted_order": f"{current_time}{str(trace_a_id)}", + "trace_id": str(trace_a_id), + "inputs": {"input1": 1, "input2": 2}, + "attachments": { + "foo": ("text/plain", b"bar"), + "bar": ( + "image/png", + Path(__file__).parent / "test_data/parrot-icon.png", + ), + }, + } + ] + + # make sure no warnings logged + with pytest.raises(ValueError, match="Must set dangerously_allow_filesystem"): + langchain_client.multipart_ingest(create=runs_to_create, update=[]) + + +def test_multipart_ingest_create_with_attachments( + langchain_client: Client, caplog: pytest.LogCaptureFixture +) -> None: + _session = "__test_multipart_ingest_create_with_attachments" + trace_a_id = uuid4() + current_time = datetime.datetime.now(datetime.timezone.utc).strftime( + "%Y%m%dT%H%M%S%fZ" + ) + + runs_to_create: list[dict] = [ + { + "id": str(trace_a_id), + "session_name": _session, + "name": "trace a root", + "run_type": "chain", + "dotted_order": f"{current_time}{str(trace_a_id)}", + "trace_id": str(trace_a_id), + "inputs": {"input1": 1, "input2": 2}, + "attachments": { + "foo": ("text/plain", b"bar"), + "bar": ( + "image/png", + Path(__file__).parent / "test_data/parrot-icon.png", + ), + }, + } + ] + + # make sure no warnings logged + with caplog.at_level(logging.WARNING, logger="langsmith.client"): + langchain_client.multipart_ingest( + create=runs_to_create, update=[], dangerously_allow_filesystem=True + ) + assert not caplog.records + wait_for(lambda: _get_run(str(trace_a_id), langchain_client)) + created_run = langchain_client.read_run(run_id=str(trace_a_id)) + assert sorted(created_run.attachments.keys()) == sorted(["foo", "bar"]) + assert created_run.attachments["foo"]["reader"].read() == b"bar" + assert ( + created_run.attachments["bar"]["reader"].read() + == (Path(__file__).parent / "test_data/parrot-icon.png").read_bytes() + ) + + +def test_multipart_ingest_update_with_attachments_no_paths( + langchain_client: Client, caplog: pytest.LogCaptureFixture +): + _session = "__test_multipart_ingest_update_with_attachments_no_paths" + trace_a_id = uuid4() + current_time = datetime.datetime.now(datetime.timezone.utc).strftime( + "%Y%m%dT%H%M%S%fZ" + ) + + runs_to_create: list[dict] = [ + { + "id": str(trace_a_id), + "session_name": _session, + "name": "trace a root", + "run_type": "chain", + "dotted_order": f"{current_time}{str(trace_a_id)}", + "trace_id": str(trace_a_id), + "outputs": {"output1": 3, "output2": 4}, + "attachments": { + "foo": ("text/plain", b"bar"), + "bar": ("image/png", b"bar"), + }, + } + ] + with caplog.at_level(logging.WARNING, logger="langsmith.client"): + langchain_client.multipart_ingest(create=runs_to_create, update=[]) + + assert not caplog.records + wait_for(lambda: _get_run(str(trace_a_id), langchain_client)) + created_run = langchain_client.read_run(run_id=str(trace_a_id)) + assert created_run.attachments + assert sorted(created_run.attachments.keys()) == sorted(["foo", "bar"]) + assert created_run.attachments["foo"]["reader"].read() == b"bar" + assert created_run.attachments["bar"]["reader"].read() == b"bar" + + runs_to_update: list[dict] = [ + { + "id": str(trace_a_id), + "dotted_order": f"{current_time}{str(trace_a_id)}", + "trace_id": str(trace_a_id), + "outputs": {"output1": 3, "output2": 4}, + "attachments": { + "baz": ("text/plain", b"bar"), + "qux": ("image/png", b"bar"), + }, + } + ] + with caplog.at_level(logging.WARNING, logger="langsmith.client"): + langchain_client.multipart_ingest(create=[], update=runs_to_update) + + assert not caplog.records + + +def _get_run(run_id: ID_TYPE, langchain_client: Client, has_end: bool = False) -> bool: + try: + r = langchain_client.read_run(run_id) # type: ignore + if has_end: + return r.end_time is not None + return True + except LangSmithError: + return False + + +def test_multipart_ingest_update_with_attachments_error( + langchain_client: Client, caplog: pytest.LogCaptureFixture +) -> None: + _session = "__test_multipart_ingest_update_with_attachments" + + trace_a_id = uuid4() + current_time = datetime.datetime.now(datetime.timezone.utc).strftime( + "%Y%m%dT%H%M%S%fZ" + ) + + runs_to_create: list[dict] = [ + { + "id": str(trace_a_id), + "session_name": _session, + "name": "trace a root", + "run_type": "chain", + "dotted_order": f"{current_time}{str(trace_a_id)}", + "trace_id": str(trace_a_id), + "inputs": {"input1": 1, "input2": 2}, + } + ] + + # make sure no warnings logged + with caplog.at_level(logging.WARNING, logger="langsmith.client"): + langchain_client.multipart_ingest(create=runs_to_create, update=[]) + assert not caplog.records + wait_for(lambda: _get_run(str(trace_a_id), langchain_client)) + + runs_to_update: list[dict] = [ + { + "id": str(trace_a_id), + "dotted_order": f"{current_time}{str(trace_a_id)}", + "trace_id": str(trace_a_id), + "inputs": {"input1": 3, "input2": 4}, + "attachments": { + "foo": ("text/plain", b"bar"), + "bar": ( + "image/png", + Path(__file__).parent / "test_data/parrot-icon.png", + ), + }, + } + ] + with pytest.raises(ValueError, match="Must set dangerously_allow_filesystem"): + langchain_client.multipart_ingest(create=[], update=runs_to_update) + + +def test_multipart_ingest_update_with_attachments( + langchain_client: Client, caplog: pytest.LogCaptureFixture +) -> None: + _session = "__test_multipart_ingest_update_with_attachments" + trace_a_id = uuid4() + current_time = datetime.datetime.now(datetime.timezone.utc).strftime( + "%Y%m%dT%H%M%S%fZ" + ) + runs_to_create: list[dict] = [ + { + "id": str(trace_a_id), + "session_name": _session, + "name": "trace a root", + "run_type": "chain", + "dotted_order": f"{current_time}{str(trace_a_id)}", + "trace_id": str(trace_a_id), + "inputs": {"input1": 1, "input2": 2}, + } + ] + + # make sure no warnings logged + with caplog.at_level(logging.WARNING, logger="langsmith.client"): + langchain_client.multipart_ingest(create=runs_to_create, update=[]) + assert not caplog.records + image_path = Path(__file__).parent / "test_data/parrot-icon.png" + image_content = image_path.read_bytes() # Read content before multipart request + + runs_to_update: list[dict] = [ + { + "id": str(trace_a_id), + "dotted_order": f"{current_time}{str(trace_a_id)}", + "trace_id": str(trace_a_id), + "inputs": {"input1": 3, "input2": 4}, + "attachments": { + "foo": ("text/plain", b"bar"), + "bar": ( + "image/png", + image_path, + ), + }, + } + ] + langchain_client.multipart_ingest( + create=[], update=runs_to_update, dangerously_allow_filesystem=True + ) + + # this would fail if the internal file handle wasn't closed + assert image_path.read_bytes() == image_content + + assert not caplog.records + wait_for(lambda: _get_run(str(trace_a_id), langchain_client)) + created_run = langchain_client.read_run(run_id=str(trace_a_id)) + assert created_run.inputs == {"input1": 3, "input2": 4} + assert sorted(created_run.attachments.keys()) == sorted(["foo", "bar"]) + assert created_run.attachments["foo"]["reader"].read() == b"bar" + assert ( + created_run.attachments["bar"]["reader"].read() + == (Path(__file__).parent / "test_data/parrot-icon.png").read_bytes() + ) + + def test_multipart_ingest_create_then_update( langchain_client: Client, caplog: pytest.LogCaptureFixture ) -> None: @@ -1090,16 +1375,7 @@ def test_update_run_extra(add_metadata: bool, do_batching: bool) -> None: revision_id = uuid4() langchain_client.create_run(**run, revision_id=revision_id) # type: ignore - def _get_run(run_id: ID_TYPE, has_end: bool = False) -> bool: - try: - r = langchain_client.read_run(run_id) # type: ignore - if has_end: - return r.end_time is not None - return True - except LangSmithError: - return False - - wait_for(lambda: _get_run(run_id)) + wait_for(lambda: _get_run(run_id, langchain_client)) created_run = langchain_client.read_run(run_id) assert created_run.metadata["foo"] == "bar" assert created_run.metadata["revision_id"] == str(revision_id) @@ -1108,7 +1384,7 @@ def _get_run(run_id: ID_TYPE, has_end: bool = False) -> bool: run["extra"]["metadata"]["foo2"] = "baz" # type: ignore run["tags"] = ["tag3"] langchain_client.update_run(run_id, **run) # type: ignore - wait_for(lambda: _get_run(run_id, has_end=True)) + wait_for(lambda: _get_run(run_id, langchain_client, has_end=True)) updated_run = langchain_client.read_run(run_id) assert updated_run.metadata["foo"] == "bar" # type: ignore assert updated_run.revision_id == str(revision_id) @@ -1460,6 +1736,7 @@ def evaluator_2( num_repetitions=2, ) + assert len(results) == 2 for result in results: assert result["evaluation_results"]["results"][0].score == 1.0 assert result["evaluation_results"]["results"][1].score == 1.0 @@ -1570,6 +1847,16 @@ def evaluator( for result in results: assert result["evaluation_results"]["results"][0].score == 1.0 + results = langchain_client.evaluate( + target, + data=dataset_name, + evaluators=[evaluator], + ) + + assert len(results) == 1 + for result in results: + assert result["evaluation_results"]["results"][0].score == 1.0 + langchain_client.delete_dataset(dataset_name=dataset_name) @@ -1629,15 +1916,18 @@ async def test_aevaluate_with_attachments(langchain_client: Client) -> None: data_type=DataType.kv, ) - example = ExampleUploadWithAttachments( - inputs={"question": "What is shown in the image?"}, - outputs={"answer": "test image"}, - attachments={ - "image": ("image/png", b"fake image data for testing"), - }, - ) + examples = [ + ExampleUploadWithAttachments( + inputs={"question": "What is shown in the image?", "index": i}, + outputs={"answer": "test image"}, + attachments={ + "image": ("text/plain", bytes(f"data: {i}", "utf-8")), + }, + ) + for i in range(10) + ] - langchain_client.upload_examples_multipart(dataset_id=dataset.id, uploads=[example]) + langchain_client.upload_examples_multipart(dataset_id=dataset.id, uploads=examples) async def target( inputs: Dict[str, Any], attachments: Dict[str, Any] @@ -1646,34 +1936,24 @@ async def target( assert "image" in attachments assert "presigned_url" in attachments["image"] image_data = attachments["image"]["reader"] - assert image_data.read() == b"fake image data for testing" + assert image_data.read() == bytes(f"data: {inputs['index']}", "utf-8") return {"answer": "test image"} async def evaluator_1( - outputs: dict, reference_outputs: dict, attachments: dict - ) -> Dict[str, Any]: + inputs: dict, outputs: dict, reference_outputs: dict, attachments: dict + ) -> bool: assert "image" in attachments assert "presigned_url" in attachments["image"] image_data = attachments["image"]["reader"] - assert image_data.read() == b"fake image data for testing" - return { - "score": float( - reference_outputs.get("answer") == outputs.get("answer") # type: ignore - ) - } + return image_data.read() == bytes(f"data: {inputs['index']}", "utf-8") async def evaluator_2( - outputs: dict, reference_outputs: dict, attachments: dict - ) -> Dict[str, Any]: + inputs: dict, outputs: dict, reference_outputs: dict, attachments: dict + ) -> bool: assert "image" in attachments assert "presigned_url" in attachments["image"] image_data = attachments["image"]["reader"] - assert image_data.read() == b"fake image data for testing" - return { - "score": float( - reference_outputs.get("answer") == outputs.get("answer") # type: ignore - ) - } + return image_data.read() == bytes(f"data: {inputs['index']}", "utf-8") results = await langchain_client.aevaluate( target, @@ -1683,11 +1963,21 @@ async def evaluator_2( max_concurrency=3, ) - assert len(results) == 2 + assert len(results) == 20 async for result in results: assert result["evaluation_results"]["results"][0].score == 1.0 assert result["evaluation_results"]["results"][1].score == 1.0 + results = await langchain_client.aevaluate( + target, + data=dataset_name, + evaluators=[], + num_repetitions=1, + max_concurrency=3, + ) + + assert len(results) == 10 + langchain_client.delete_dataset(dataset_name=dataset_name) @@ -1967,6 +2257,132 @@ def test_bulk_update_examples_with_attachments_operations( langchain_client.delete_dataset(dataset_id=dataset.id) +def test_examples_multipart_attachment_path(langchain_client: Client) -> None: + """Test uploading examples with attachments via multipart endpoint.""" + dataset_name = "__test_upload_examples_multipart" + uuid4().hex[:4] + if langchain_client.has_dataset(dataset_name=dataset_name): + langchain_client.delete_dataset(dataset_name=dataset_name) + + dataset = langchain_client.create_dataset( + dataset_name, + description="Test dataset for multipart example uploads", + data_type=DataType.kv, + ) + + file_path = Path(__file__).parent / "test_data/parrot-icon.png" + example_id = uuid4() + example = ExampleUploadWithAttachments( + id=example_id, + inputs={"text": "hello world"}, + attachments={ + "file1": ("text/plain", b"original content 1"), + "file2": ("image/png", file_path), + "file3": ("image/png", file_path), + }, + ) + + # Get the multipart data first to check file handling + _, _, opened_files_dict = langchain_client._prepare_multipart_data( + [example], + include_dataset_id=False, + dangerously_allow_filesystem=True, + ) + + file_obj = list(opened_files_dict.values())[0] + fd = file_obj.fileno() + + # Verify the file is open by trying to read from it + try: + os.fstat(fd) + file_is_open = True + except OSError: + file_is_open = False + assert file_is_open, "File should be open after _prepare_multipart_data" + + # Now close the files + _close_files(list(opened_files_dict.values())) + + # Verify the file is closed by checking if the file descriptor is invalid + try: + os.fstat(fd) + file_is_closed = False + except OSError: + file_is_closed = True + assert file_is_closed, "File should be closed after _close_files" + + created_examples = langchain_client.upload_examples_multipart( + dataset_id=dataset.id, uploads=[example], dangerously_allow_filesystem=True + ) + assert created_examples["count"] == 1 + + # Verify the upload + retrieved = langchain_client.read_example(example_id) + + assert len(retrieved.attachments) == 3 + assert "file1" in retrieved.attachments + assert "file2" in retrieved.attachments + assert "file3" in retrieved.attachments + assert retrieved.attachments["file1"]["reader"].read() == b"original content 1" + assert ( + retrieved.attachments["file2"]["reader"].read() + == (Path(__file__).parent / "test_data/parrot-icon.png").read_bytes() + ) + assert ( + retrieved.attachments["file3"]["reader"].read() + == (Path(__file__).parent / "test_data/parrot-icon.png").read_bytes() + ) + + example_update = ExampleUpdateWithAttachments( + id=example_id, + attachments={ + "new_file1": ( + "image/png", + file_path, + ), + "new_file2": ( + "image/png", + file_path, + ), + }, + ) + + langchain_client.update_examples_multipart( + dataset_id=dataset.id, + updates=[example_update], + dangerously_allow_filesystem=True, + ) + + retrieved = langchain_client.read_example(example_id) + + assert len(retrieved.attachments) == 2 + assert "new_file1" in retrieved.attachments + assert "new_file2" in retrieved.attachments + assert retrieved.attachments["new_file1"]["reader"].read() == file_path.read_bytes() + assert retrieved.attachments["new_file2"]["reader"].read() == file_path.read_bytes() + + example_wrong_path = ExampleUploadWithAttachments( + id=example_id, + inputs={"text": "hello world"}, + attachments={ + "file1": ( + "text/plain", + Path(__file__).parent / "test_data/not-a-real-file.txt", + ), + }, + ) + + with pytest.raises(FileNotFoundError) as exc_info: + langchain_client.upload_examples_multipart( + dataset_id=dataset.id, + uploads=[example_wrong_path], + dangerously_allow_filesystem=True, + ) + assert "test_data/not-a-real-file.txt" in str(exc_info.value) + + # Clean up + langchain_client.delete_dataset(dataset_id=dataset.id) + + def test_update_examples_multipart(langchain_client: Client) -> None: """Test updating examples with attachments via multipart endpoint.""" dataset_name = "__test_update_examples_multipart" + uuid4().hex[:4] @@ -2124,3 +2540,195 @@ def test_update_examples_multipart(langchain_client: Client) -> None: # Clean up langchain_client.delete_dataset(dataset_id=dataset.id) + + +async def test_aevaluate_max_concurrency(langchain_client: Client) -> None: + """Test max concurrency works as expected.""" + dataset_name = "__test_a_ton_of_feedback" + uuid4().hex[:4] + dataset = langchain_client.create_dataset( + dataset_name=dataset_name, + description="Test dataset for max concurrency", + ) + + examples = [ + ExampleUploadWithAttachments( + inputs={"query": "What's in this image?"}, + outputs={"answer": "A test image 1"}, + attachments={ + "image1": ("image/png", b"fake image data 1"), + "extra": ("text/plain", b"extra data"), + }, + ) + for _ in range(10) + ] + + langchain_client.upload_examples_multipart(dataset_id=dataset.id, uploads=examples) + + evaluators = [] + for _ in range(100): + + async def eval_func(inputs, outputs): + await asyncio.sleep(0.1) + return {"score": random.random()} + + evaluators.append(eval_func) + + async def target(inputs, attachments): + return {"foo": "bar"} + + start_time = time.time() + await langchain_client.aevaluate( + target, + data=dataset_name, + evaluators=evaluators, + max_concurrency=8, + ) + + end_time = time.time() + # this should proceed in a 8-2 manner, taking around 20 seconds total + assert end_time - start_time < 30 + assert end_time - start_time > 20 + + start_time = time.time() + await langchain_client.aevaluate( + target, + data=dataset_name, + evaluators=evaluators, + max_concurrency=4, + ) + + end_time = time.time() + # this should proceed in a 4-4-2 manner, taking around 30 seconds total + assert end_time - start_time < 40 + assert end_time - start_time > 30 + + langchain_client.delete_dataset(dataset_id=dataset.id) + + +def test_annotation_queue_crud(langchain_client: Client): + """Test basic CRUD operations for annotation queues.""" + queue_name = f"test_queue_{uuid.uuid4().hex[:8]}" + queue_id = uuid.uuid4() + + # Test creation + queue = langchain_client.create_annotation_queue( + name=queue_name, description="Test queue", queue_id=queue_id + ) + assert queue.name == queue_name + assert queue.id == queue_id + + # Test reading + read_queue = langchain_client.read_annotation_queue(queue_id) + assert read_queue.id == queue_id + assert read_queue.name == queue_name + + # Test updating + new_name = f"updated_{queue_name}" + langchain_client.update_annotation_queue( + queue_id=queue_id, name=new_name, description="Updated description" + ) + + updated_queue = langchain_client.read_annotation_queue(queue_id) + assert updated_queue.name == new_name + + # Test deletion + langchain_client.delete_annotation_queue(queue_id) + + # Verify deletion + queues = list(langchain_client.list_annotation_queues(queue_ids=[queue_id])) + assert len(queues) == 0 + + +def test_list_annotation_queues(langchain_client: Client): + """Test listing and filtering annotation queues.""" + queue_names = [f"test_queue_{i}_{uuid.uuid4().hex[:8]}" for i in range(3)] + queue_ids = [] + + try: + # Create test queues + for name in queue_names: + queue = langchain_client.create_annotation_queue( + name=name, description="Test queue" + ) + queue_ids.append(queue.id) + + # Test listing with various filters + queues = list( + langchain_client.list_annotation_queues(queue_ids=queue_ids[:2], limit=2) + ) + assert len(queues) == 2 + + # Test name filter + queues = list(langchain_client.list_annotation_queues(name=queue_names[0])) + assert len(queues) == 1 + assert queues[0].name == queue_names[0] + + # Test name_contains filter + queues = list( + langchain_client.list_annotation_queues(name_contains="test_queue") + ) + assert len(queues) >= 3 # Could be more if other tests left queues + + finally: + # Clean up + for queue_id in queue_ids: + langchain_client.delete_annotation_queue(queue_id) + + +def test_annotation_queue_runs(langchain_client: Client): + """Test managing runs within an annotation queue.""" + queue_name = f"test_queue_{uuid.uuid4().hex[:8]}" + project_name = f"test_project_{uuid.uuid4().hex[:8]}" + # Create a queue + queue = langchain_client.create_annotation_queue( + name=queue_name, description="Test queue" + ) + + # Create some test runs + run_ids = [uuid.uuid4() for _ in range(3)] + for i in range(3): + langchain_client.create_run( + name=f"test_run_{i}", + inputs={"input": f"test_{i}"}, + run_type="llm", + project_name=project_name, + start_time=datetime.datetime.now(datetime.timezone.utc), + id=run_ids[i], + ) + + def _get_run(run_id: ID_TYPE, has_end: bool = False) -> bool: + try: + r = langchain_client.read_run(run_id) # type: ignore + if has_end: + return r.end_time is not None + return True + except LangSmithError: + return False + + wait_for(lambda: _get_run(run_ids[0])) + wait_for(lambda: _get_run(run_ids[1])) + wait_for(lambda: _get_run(run_ids[2])) + # Add runs to queue + langchain_client.add_runs_to_annotation_queue(queue_id=queue.id, run_ids=run_ids) + + # Test getting run at index + run_info = langchain_client.get_run_from_annotation_queue( + queue_id=queue.id, index=0 + ) + assert run_info.id in run_ids + + # Test deleting a run from queue + langchain_client.delete_run_from_annotation_queue( + queue_id=queue.id, run_id=run_ids[2] + ) + + # Test that runs are deleted + with pytest.raises(LangSmithNotFoundError): + langchain_client.get_run_from_annotation_queue(queue_id=queue.id, index=2) + + run_1 = langchain_client.get_run_from_annotation_queue(queue_id=queue.id, index=0) + run_2 = langchain_client.get_run_from_annotation_queue(queue_id=queue.id, index=1) + assert sorted([run_1.id, run_2.id]) == sorted(run_ids[:2]) + + # Clean up + langchain_client.delete_annotation_queue(queue.id) diff --git a/python/tests/integration_tests/test_data/parrot-icon.png b/python/tests/integration_tests/test_data/parrot-icon.png new file mode 100644 index 000000000..7fd3de1dc Binary files /dev/null and b/python/tests/integration_tests/test_data/parrot-icon.png differ diff --git a/python/tests/integration_tests/test_runs.py b/python/tests/integration_tests/test_runs.py index 6ce943690..1a9b7d9fb 100644 --- a/python/tests/integration_tests/test_runs.py +++ b/python/tests/integration_tests/test_runs.py @@ -3,6 +3,7 @@ import uuid from collections import defaultdict from concurrent.futures import ThreadPoolExecutor +from pathlib import Path from typing import AsyncGenerator, Generator, Optional, Sequence import pytest # type: ignore @@ -11,11 +12,19 @@ from langsmith.client import Client from langsmith.run_helpers import trace, traceable from langsmith.run_trees import RunTree +from langsmith.schemas import Attachment @pytest.fixture def langchain_client() -> Generator[Client, None, None]: - yield Client() + yield Client( + info={ + "instance_flags": { + "dataset_examples_multipart_enabled": True, + "examples_multipart_enabled": True, + } + } + ) def poll_runs_until_count( @@ -479,3 +488,43 @@ async def test_end_metadata_with_run_tree(langchain_client: Client): assert run.run_type == "chain" assert run.metadata["final_metadata"] == run_id.hex assert run.outputs == {"result": "success"} + + +def test_trace_file_path(langchain_client: Client) -> None: + """Test that you can trace attachments with file paths""" + project_name = "__test_trace_file_path3" + run_meta = uuid.uuid4().hex + + @traceable(run_type="chain", dangerously_allow_filesystem=True) + def my_func(foo: Attachment, bar: Attachment): + return "foo" + + my_func( + Attachment( + mime_type="image/png", + data=Path(__file__).parent / "test_data/parrot-icon.png", + ), + Attachment( + mime_type="image/png", + data=Path(__file__).parent / "test_data/parrot-icon.png", + ), + langsmith_extra=dict( + project_name=project_name, metadata={"test_run": run_meta} + ), + ) + _filter = f'and(eq(metadata_key, "test_run"), eq(metadata_value, "{run_meta}"))' + poll_runs_until_count( + langchain_client, project_name, 1, max_retries=20, filter_=_filter + ) + runs = list(langchain_client.list_runs(project_name=project_name, filter=_filter)) + assert len(runs) == 1 + run = runs[0] + assert run.attachments + assert ( + run.attachments["foo"]["reader"].read() + == (Path(__file__).parent / "test_data/parrot-icon.png").read_bytes() + ) + assert ( + run.attachments["bar"]["reader"].read() + == (Path(__file__).parent / "test_data/parrot-icon.png").read_bytes() + ) diff --git a/python/tests/unit_tests/evaluation/test_runner.py b/python/tests/unit_tests/evaluation/test_runner.py index e33d07fd5..3ee1ce598 100644 --- a/python/tests/unit_tests/evaluation/test_runner.py +++ b/python/tests/unit_tests/evaluation/test_runner.py @@ -595,21 +595,18 @@ def summary_eval_outputs_reference(outputs, reference_outputs): max_concurrency=None, ) if not blocking: - deltas = [] - last = None + deltas: list = [] start = time.time() + last = start now = None async for _ in results: now = time.time() - if last is None: - elapsed = now - start - assert elapsed < 3 - deltas.append((now - last) if last is not None else 0) # type: ignore + deltas.append((now - last)) last = now total = now - start # type: ignore - assert total > 1.5 + assert 3.2 > total > 1.5 - # Essentially we want to check that 1 delay is > 1.5s and the rest are < 0.1s + # Essentially we want to check that most calls were very fast. assert len(deltas) == SPLIT_SIZE * NUM_REPETITIONS total_quick = sum([d < 0.5 for d in deltas]) @@ -617,7 +614,7 @@ def summary_eval_outputs_reference(outputs, reference_outputs): tolerance = 3 assert total_slow < tolerance assert total_quick > (SPLIT_SIZE * NUM_REPETITIONS - 1) - tolerance - assert any([d > 1 for d in deltas]) + assert max(deltas) > (total / 3) async for r in results: assert r["run"].outputs["output"] == r["example"].inputs["in"] + 1 # type: ignore diff --git a/python/tests/unit_tests/test_client.py b/python/tests/unit_tests/test_client.py index 939aa9ad2..69d6cff83 100644 --- a/python/tests/unit_tests/test_client.py +++ b/python/tests/unit_tests/test_client.py @@ -2069,3 +2069,282 @@ def test_evaluate_methods() -> None: eval_args = set(inspect.signature(aevaluate).parameters).difference({"client"}) extra_args = client_args - eval_args assert not extra_args + + +@patch("langsmith.client.requests.Session") +def test_create_run_with_zstd_compression(mock_session_cls: mock.Mock) -> None: + """Test that runs are sent using zstd compression when compression is enabled.""" + # Prepare a mocked session + mock_session = MagicMock() + mock_response = MagicMock() + mock_response.status_code = 200 + mock_session.request.return_value = mock_response + mock_session_cls.return_value = mock_session + + with patch.dict("os.environ", {}, clear=True): + info = ls_schemas.LangSmithInfo( + version="0.6.0", + instance_flags={"zstd_compression_enabled": True}, + batch_ingest_config=ls_schemas.BatchIngestConfig( + use_multipart_endpoint=True, + size_limit=1, + size_limit_bytes=128, + scale_up_nthreads_limit=4, + scale_up_qsize_trigger=3, + scale_down_nempty_trigger=1, + ), + ) + client = Client( + api_url="http://localhost:1984", + api_key="123", + auto_batch_tracing=True, + session=mock_session, + info=info, + ) + + # Create a few runs with larger payloads so there's something to compress + for i in range(2): + run_id = uuid.uuid4() + client.create_run( + name=f"my_test_run_{i}", + run_type="llm", + inputs={"some_key": "some_val" * 1000}, + id=run_id, + trace_id=run_id, + dotted_order=str(run_id), + ) + + # Let the background threads flush + if client.tracing_queue: + client.tracing_queue.join() + if client._futures is not None: + for fut in client._futures: + fut.result() + + time.sleep(0.1) + + # Inspect the calls + post_calls = [] + for call_obj in mock_session.request.mock_calls: + if call_obj.args and call_obj.args[0] == "POST": + post_calls.append(call_obj) + assert ( + len(post_calls) >= 1 + ), "Expected at least one POST to the compression endpoint" + + call_data = post_calls[0][2]["data"] + + if hasattr(call_data, "read"): + call_data = call_data.read() + + zstd_magic = b"\x28\xb5\x2f\xfd" + assert call_data.startswith(zstd_magic), ( + "Expected the request body to start with zstd magic bytes; " + "it appears runs were not compressed." + ) + + +@patch("langsmith.client.requests.Session") +def test_create_run_without_compression_support(mock_session_cls: mock.Mock) -> None: + """Test that runs use regular multipart when server doesn't support compression.""" + mock_session = MagicMock() + mock_response = MagicMock() + mock_response.status_code = 200 + mock_session.request.return_value = mock_response + mock_session_cls.return_value = mock_session + + with patch.dict("os.environ", {}, clear=True): + info = ls_schemas.LangSmithInfo( + version="0.6.0", + instance_flags={}, # No compression flag + batch_ingest_config=ls_schemas.BatchIngestConfig( + use_multipart_endpoint=True, + size_limit=1, + size_limit_bytes=128, + scale_up_nthreads_limit=4, + scale_up_qsize_trigger=3, + scale_down_nempty_trigger=1, + ), + ) + client = Client( + api_url="http://localhost:1984", + api_key="123", + auto_batch_tracing=True, + session=mock_session, + info=info, + ) + + run_id = uuid.uuid4() + inputs = {"key": "there"} + client.create_run( + name="test_run", + run_type="llm", + inputs=inputs, + id=run_id, + trace_id=run_id, + dotted_order=str(run_id), + ) + + outputs = {"key": "hi there"} + + client.update_run( + run_id, + outputs=outputs, + end_time=datetime.now(timezone.utc), + trace_id=run_id, + dotted_order=str(run_id), + ) + + if client.tracing_queue: + client.tracing_queue.join() + + time.sleep(0.1) + + post_calls = [ + call_obj + for call_obj in mock_session.request.mock_calls + if call_obj.args and call_obj.args[0] == "POST" + ] + assert len(post_calls) >= 1 + + payloads = [ + (call[2]["headers"], call[2]["data"]) + for call in mock_session.request.mock_calls + if call.args and call.args[1].endswith("runs/multipart") + ] + if not payloads: + assert False, "No payloads found" + + parts: List[MultipartPart] = [] + for payload in payloads: + headers, data = payload + assert headers["Content-Type"].startswith("multipart/form-data") + assert isinstance(data, bytes) + boundary = parse_options_header(headers["Content-Type"])[1]["boundary"] + parser = MultipartParser(io.BytesIO(data), boundary) + parts.extend(parser.parts()) + + assert [p.name for p in parts] == [ + f"post.{run_id}", + f"post.{run_id}.inputs", + f"post.{run_id}.outputs", + ] + assert [p.headers.get("content-type") for p in parts] == [ + "application/json", + "application/json", + "application/json", + ] + + outputs_parsed = json.loads(parts[2].value) + assert outputs_parsed == outputs + inputs_parsed = json.loads(parts[1].value) + assert inputs_parsed == inputs + run_parsed = json.loads(parts[0].value) + assert run_parsed["trace_id"] == str(run_id) + assert run_parsed["dotted_order"] == str(run_id) + + +@patch("langsmith.client.requests.Session") +def test_create_run_with_disabled_compression(mock_session_cls: mock.Mock) -> None: + """Test that runs use regular multipart when compression is explicitly disabled.""" + + # Clear the cache to ensure the environment variable is re-evaluated + ls_utils.get_env_var.cache_clear() + + mock_session = MagicMock() + mock_response = MagicMock() + mock_response.status_code = 200 + mock_session.request.return_value = mock_response + mock_session_cls.return_value = mock_session + + with patch.dict( + "os.environ", {"LANGSMITH_DISABLE_RUN_COMPRESSION": "true"}, clear=True + ): + info = ls_schemas.LangSmithInfo( + version="0.6.0", + instance_flags={"zstd_compression_enabled": True}, # Enabled on server + batch_ingest_config=ls_schemas.BatchIngestConfig( + use_multipart_endpoint=True, + size_limit=1, + size_limit_bytes=128, + scale_up_nthreads_limit=4, + scale_up_qsize_trigger=3, + scale_down_nempty_trigger=1, + ), + ) + client = Client( + api_url="http://localhost:1984", + api_key="123", + auto_batch_tracing=True, + session=mock_session, + info=info, + ) + + run_id = uuid.uuid4() + inputs = {"key": "there"} + client.create_run( + name="test_run", + run_type="llm", + inputs=inputs, + id=run_id, + trace_id=run_id, + dotted_order=str(run_id), + ) + + outputs = {"key": "hi there"} + client.update_run( + run_id, + outputs=outputs, + end_time=datetime.now(timezone.utc), + trace_id=run_id, + dotted_order=str(run_id), + ) + + # Let the background threads flush + if client.tracing_queue: + client.tracing_queue.join() + + time.sleep(0.1) + + post_calls = [ + call_obj + for call_obj in mock_session.request.mock_calls + if call_obj.args and call_obj.args[0] == "POST" + ] + assert len(post_calls) >= 1 + + payloads = [ + (call[2]["headers"], call[2]["data"]) + for call in mock_session.request.mock_calls + if call.args and call.args[1].endswith("runs/multipart") + ] + if not payloads: + assert False, "No payloads found" + + parts: List[MultipartPart] = [] + for payload in payloads: + headers, data = payload + assert headers["Content-Type"].startswith("multipart/form-data") + assert isinstance(data, bytes) + boundary = parse_options_header(headers["Content-Type"])[1]["boundary"] + parser = MultipartParser(io.BytesIO(data), boundary) + parts.extend(parser.parts()) + + assert [p.name for p in parts] == [ + f"post.{run_id}", + f"post.{run_id}.inputs", + f"post.{run_id}.outputs", + ] + assert [p.headers.get("content-type") for p in parts] == [ + "application/json", + "application/json", + "application/json", + ] + + outputs_parsed = json.loads(parts[2].value) + assert outputs_parsed == outputs + inputs_parsed = json.loads(parts[1].value) + assert inputs_parsed == inputs + run_parsed = json.loads(parts[0].value) + assert run_parsed["trace_id"] == str(run_id) + assert run_parsed["dotted_order"] == str(run_id)