fix linting

.github/workflows/test_e2e_py.yml

@@ -12,7 +12,6 @@ env:
 jobs:
   test_e2e:
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     strategy:
       # You can use PyPy versions in python-version.
       # For example, pypy-2.7 and pypy-3.8

py/CHANGELOG.md

@@ -1,41 +1,5 @@
 # llama-cloud-services-py
 
-## 0.6.88
-
-### Patch Changes
-
-- 71db318: Add tier and version
-
-## 0.6.87
-
-### Patch Changes
-
-- 06c3c55: Update spreadsheet parsing config
-
-## 0.6.86
-
-### Patch Changes
-
-- 1b7198d: Update extract to have confidence scores available in all modes
-
-## 0.6.85
-
-### Patch Changes
-
-- ae30990: Add line-level bbox support
-
-## 0.6.84
-
-### Patch Changes
-
-- 0a110de: Release to re-align versions
-
-## 0.6.83
-
-### Patch Changes
-
-- ca78113: Do not use presigned URLs by default in files client
-
 ## 0.6.82
 
 ### Patch Changes

py/Makefile

@@ -15,4 +15,4 @@ test:	## Run unit tests via pytest
 
 .PHONY: e2e
 e2e:	## Run all tests. Run with high parallelism using xdist since tests are bottlenecked bound by the slow backend parsing
-	uv run pytest -v -n 32 --timeout=300 --session-timeout=1740 tests/
+	uv run pytest -v -n 32 tests/

py/llama_cloud_services/beta/sheets/client.py

@@ -2,7 +2,7 @@ import asyncio
 import io
 import os
 import time
-from typing import Any, Dict, TYPE_CHECKING
+from typing import TYPE_CHECKING
 
 import httpx
 from llama_cloud.client import AsyncLlamaCloud
@@ -68,8 +68,6 @@ class LlamaSheets:
         max_timeout: int = 300,
         poll_interval: int = 5,
         max_retries: int = 3,
-        project_id: str | None = None,
-        organization_id: str | None = None,
         async_httpx_client: httpx.AsyncClient | None = None,
     ) -> None:
         """Initialize the LlamaSheets client.
@@ -80,8 +78,6 @@ class LlamaSheets:
             max_timeout: Maximum time to wait for job completion in seconds
             poll_interval: Interval between status checks in seconds
             max_retries: Maximum number of retries for failed requests
-            project_id: Project ID for file operations. If not provided, will use LLAMA_CLOUD_PROJECT_ID env var
-            organization_id: Organization ID for file operations. If not provided, will use LLAMA_CLOUD_ORGANIZATION_ID env var
             async_httpx_client: Optional custom async httpx client
         """
         self.api_key = api_key or os.environ.get("LLAMA_CLOUD_API_KEY")
@@ -97,32 +93,15 @@ class LlamaSheets:
         self.poll_interval = poll_interval
         self.max_retries = max_retries
 
-        self.project_id = project_id or os.environ.get("LLAMA_CLOUD_PROJECT_ID")
-        self.organization_id = organization_id or os.environ.get(
-            "LLAMA_CLOUD_ORGANIZATION_ID"
-        )
-
         self._async_client: httpx.AsyncClient | None = async_httpx_client
         self._files_client = FileClient(
             AsyncLlamaCloud(
                 token=self.api_key,
                 base_url=self.base_url,
                 httpx_client=async_httpx_client,
-            ),
-            project_id=self.project_id,
-            organization_id=self.organization_id,
+            )
         )
 
-    def _get_default_params(self) -> dict[str, str]:
-        """Get default query parameters for API requests"""
-        params = {}
-        if self.project_id is not None:
-            params["project_id"] = self.project_id
-        if self.organization_id is not None:
-            params["organization_id"] = self.organization_id
-
-        return params
-
     def _get_async_client(self) -> httpx.AsyncClient:
         """Get or create the async httpx client"""
         if self._async_client is None:
@@ -327,8 +306,6 @@ class LlamaSheets:
             "config": config.model_dump(mode="json", exclude_none=True),
         }
 
-        params = self._get_default_params()
-
         try:
             async for attempt in AsyncRetrying(
                 stop=stop_after_attempt(self.max_retries),
@@ -341,7 +318,6 @@ class LlamaSheets:
                     response = await client.post(
                         f"{self.base_url}/api/v1/beta/sheets/jobs",
                         headers=self._get_headers(),
-                        params=params,
                         json=payload,
                     )
                     response.raise_for_status()
@@ -371,17 +347,12 @@ class LlamaSheets:
             ):
                 with attempt:
                     client = self._get_async_client()
-                    params: Dict[str, Any] = {
-                        "include_results": include_results_metadata,
-                        **self._get_default_params(),
-                    }
                     response = await client.get(
                         f"{self.base_url}/api/v1/beta/sheets/jobs/{job_id}",
                         headers=self._get_headers(),
-                        params=params,
+                        params={"include_results": include_results_metadata},
                     )
                     response.raise_for_status()
-
                     return SpreadsheetJobResult.model_validate(response.json())
         except Exception as e:
             raise SpreadsheetAPIError(f"Failed to get job status: {e}") from e
@@ -444,8 +415,6 @@ class LlamaSheets:
         # Get presigned URL
         presigned_response = None
         result_type_str = str(result_type)
-        params = self._get_default_params()
-
         try:
             async for attempt in AsyncRetrying(
                 stop=stop_after_attempt(self.max_retries),
@@ -458,7 +427,6 @@ class LlamaSheets:
                     response = await client.get(
                         f"{self.base_url}/api/v1/beta/sheets/jobs/{job_id}/regions/{region_id}/result/{result_type_str}",
                         headers=self._get_headers(),
-                        params=params,
                     )
                     response.raise_for_status()
                     presigned_response = PresignedUrlResponse.model_validate(

py/llama_cloud_services/beta/sheets/types.py

@@ -1,6 +1,5 @@
 from datetime import datetime
 from enum import Enum
-from typing import Literal
 
 from pydantic import BaseModel, ConfigDict, Field, field_validator
 
@@ -64,7 +63,7 @@ class SpreadsheetParseResult(BaseModel):
 class SpreadsheetParsingConfig(BaseModel):
     """Configuration for spreadsheet parsing and region extraction"""
 
-    model_config = ConfigDict(extra="ignore")
+    model_config = ConfigDict(extra="forbid")
 
     sheet_names: list[str] | None = Field(
         default=None,
@@ -87,16 +86,6 @@ class SpreadsheetParsingConfig(BaseModel):
         description="Enables experimental processing. Accuracy may be impacted.",
     )
 
-    flatten_hierarchical_tables: bool = Field(
-        default=False,
-        description="Return a flattened dataframe when a detected table is recognized as hierarchical.",
-    )
-
-    table_merge_sensitivity: Literal["strong", "weak"] = Field(
-        default="strong",
-        description="Influences how likely similar-looking regions are merged into a single table. Useful for spreadsheets that either have sparse tables (strong merging) or many distinct tables close together (weak merging).",
-    )
-
 
 class SpreadsheetJob(BaseModel):
     """A spreadsheet parsing job"""

py/llama_cloud_services/extract/extract.py

@@ -240,6 +240,11 @@ def _extraction_config_warning(config: ExtractConfig) -> None:
             raise ValueError(
                 "`cite_sources` is only supported with MULTIMODAL or PREMIUM extraction modes."
             )
+    if config.confidence_scores:
+        if config.extraction_mode in (ExtractMode.FAST, ExtractMode.BALANCED):
+            raise ValueError(
+                "`confidence_scores` is only supported with MULTIMODAL or PREMIUM extraction modes."
+            )
 
 
 class ExtractionAgent:

py/llama_cloud_services/files/client.py

@@ -11,7 +11,7 @@ from llama_cloud_services.utils import SourceText, FileInput
 class FileClient:
     """
     Higher-level client for interacting with the LlamaCloud Files API.
-    Optionally uses presigned URLs for uploads.
+    Uses presigned URLs for uploads by default.
 
     Args:
         client: The LlamaCloud client to use.
@@ -25,7 +25,7 @@ class FileClient:
         client: AsyncLlamaCloud,
         project_id: Optional[str] = None,
         organization_id: Optional[str] = None,
-        use_presigned_url: bool = False,
+        use_presigned_url: bool = True,
     ):
         self.client = client
         self.project_id = project_id
@@ -91,10 +91,6 @@ class FileClient:
                 organization_id=self.organization_id,
             )
         else:
-            # Set buffer.name if not already set, so the upload uses external_file_id
-            # for file type detection
-            if not getattr(buffer, "name", None):
-                setattr(buffer, "name", external_file_id)
             return await self.client.files.upload_file(
                 upload_file=buffer,
                 external_file_id=external_file_id,

py/llama_cloud_services/index/base.py

@@ -654,9 +654,6 @@ class LlamaCloudIndex(BaseManagedIndex):
             ],
         )
 
-        # Trigger a sync
-        client.pipelines.sync_pipeline(pipeline_id=index.pipeline.id)
-
         doc_ids = [doc.id for doc in upserted_documents]
         index.wait_for_completion(
             doc_ids=doc_ids, verbose=verbose, raise_on_error=raise_on_error
@@ -741,10 +738,6 @@ class LlamaCloudIndex(BaseManagedIndex):
                     )
                 ],
             )
-
-            # Trigger a sync
-            self._client.pipelines.sync_pipeline(pipeline_id=self.pipeline.id)
-
             upserted_document = upserted_documents[0]
             self.wait_for_completion(
                 doc_ids=[upserted_document.id], verbose=verbose, raise_on_error=True
@@ -767,9 +760,6 @@ class LlamaCloudIndex(BaseManagedIndex):
                     )
                 ],
             )
-            # Trigger a sync
-            await self._aclient.pipelines.sync_pipeline(pipeline_id=self.pipeline.id)
-
             upserted_document = upserted_documents[0]
             await self.await_for_completion(
                 doc_ids=[upserted_document.id], verbose=verbose, raise_on_error=True
@@ -792,9 +782,6 @@ class LlamaCloudIndex(BaseManagedIndex):
                     )
                 ],
             )
-            # Trigger a sync
-            self._client.pipelines.sync_pipeline(pipeline_id=self.pipeline.id)
-
             upserted_document = upserted_documents[0]
             self.wait_for_completion(
                 doc_ids=[upserted_document.id], verbose=verbose, raise_on_error=True
@@ -817,9 +804,6 @@ class LlamaCloudIndex(BaseManagedIndex):
                     )
                 ],
             )
-            # Trigger a sync
-            await self._aclient.pipelines.sync_pipeline(pipeline_id=self.pipeline.id)
-
             upserted_document = upserted_documents[0]
             await self.await_for_completion(
                 doc_ids=[upserted_document.id], verbose=verbose, raise_on_error=True
@@ -843,9 +827,6 @@ class LlamaCloudIndex(BaseManagedIndex):
                     for doc in documents
                 ],
             )
-            # Trigger a sync
-            self._client.pipelines.sync_pipeline(pipeline_id=self.pipeline.id)
-
             doc_ids = [doc.id for doc in upserted_documents]
             self.wait_for_completion(doc_ids=doc_ids, verbose=True, raise_on_error=True)
             return [True] * len(doc_ids)
@@ -868,9 +849,6 @@ class LlamaCloudIndex(BaseManagedIndex):
                     for doc in documents
                 ],
             )
-            # Trigger a sync
-            await self._aclient.pipelines.sync_pipeline(pipeline_id=self.pipeline.id)
-
             doc_ids = [doc.id for doc in upserted_documents]
             await self.await_for_completion(
                 doc_ids=doc_ids, verbose=True, raise_on_error=True

py/llama_cloud_services/parse/base.py

@@ -564,17 +564,6 @@ class LlamaParse(BasePydanticReader):
         default=None,
         description="Whether to extract the printed page numbers from pages in the document.",
     )
-    line_level_bounding_box: Optional[bool] = Field(
-        default=False,
-        description="If set to true, the parser will include line-level bounding boxes in the result.",
-    )
-    tier: Optional[str] = Field(
-        default=None, description="The tier to use for the parsing job."
-    )
-    version: Optional[str] = Field(
-        default=None,
-        description="The version of the parser to use at the specified tier.",
-    )
 
     # Deprecated
     bounding_box: Optional[str] = Field(
@@ -1129,15 +1118,6 @@ class LlamaParse(BasePydanticReader):
         if self.extract_printed_page_number is not None:
             data["extract_printed_page_number"] = self.extract_printed_page_number
 
-        if self.line_level_bounding_box is not None:
-            data["line_level_bounding_box"] = self.line_level_bounding_box
-
-        if self.tier is not None:
-            data["tier"] = self.tier
-
-        if self.version is not None:
-            data["version"] = self.version
-
         # Deprecated
         if self.bounding_box is not None:
             data["bounding_box"] = self.bounding_box

py/llama_cloud_services/parse/types.py

@@ -115,26 +115,6 @@ class BBox(SafeBaseModel):
     )
 
 
-class LineLevelBboxItem(SafeBaseModel):
-    """A line-level bounding box item."""
-
-    md: Optional[str] = Field(
-        default=None, description="The markdown-formatted content of the line."
-    )
-    text: Optional[str] = Field(
-        default=None, description="The text content of the line."
-    )
-    bBox: Optional[BBox] = Field(
-        default=None, description="The bounding box of the line."
-    )
-    startIndex: Optional[int] = Field(
-        default=None, description="The start index of the line in the page text."
-    )
-    endIndex: Optional[int] = Field(
-        default=None, description="The end index of the line in the page text."
-    )
-
-
 class PageItem(SafeBaseModel):
     """An item in a page."""
 
@@ -158,9 +138,6 @@ class PageItem(SafeBaseModel):
         default=None,
         description="The HTML-formatted content of the item. Only applicable for table items when output_tables_as_HTML=True.",
     )
-    lines: Optional[List[LineLevelBboxItem]] = Field(
-        default=None, description="The line-level bounding box items of the item."
-    )
 
 
 class ImageItem(SafeBaseModel):

py/llama_parse/CHANGELOG.md

@@ -1,48 +1,5 @@
 # llama_parse
 
-## 0.6.88
-
-### Patch Changes
-
-- Updated dependencies [71db318]
-  - llama-cloud-services-py@0.6.88
-
-## 0.6.87
-
-### Patch Changes
-
-- Updated dependencies [06c3c55]
-  - llama-cloud-services-py@0.6.87
-
-## 0.6.86
-
-### Patch Changes
-
-- 1b7198d: Update extract to have confidence scores available in all modes
-- Updated dependencies [1b7198d]
-  - llama-cloud-services-py@0.6.86
-
-## 0.6.85
-
-### Patch Changes
-
-- Updated dependencies [ae30990]
-  - llama-cloud-services-py@0.6.85
-
-## 0.6.84
-
-### Patch Changes
-
-- Updated dependencies [0a110de]
-  - llama-cloud-services-py@0.6.84
-
-## 0.6.83
-
-### Patch Changes
-
-- Updated dependencies [ca78113]
-  - llama-cloud-services-py@0.6.83
-
 ## 0.6.82
 
 ### Patch Changes

py/llama_parse/package.json

@@ -1,6 +1,6 @@
 {
   "name": "llama_parse",
-  "version": "0.6.88",
+  "version": "0.6.82",
   "description": "",
   "main": "index.js",
   "private": false,

py/llama_parse/pyproject.toml

@@ -11,13 +11,13 @@ dev = [
 
 [project]
 name = "llama-parse"
-version = "0.6.88"
+version = "0.6.83"
 description = "Parse files into RAG-Optimized formats."
 authors = [{name = "Logan Markewich", email = "logan@llamaindex.ai"}]
 requires-python = ">=3.9,<4.0"
 readme = "README.md"
 license = "MIT"
-dependencies = ["llama-cloud-services>=0.6.88"]
+dependencies = ["llama-cloud-services>=0.6.82"]
 
 [project.scripts]
 llama-parse = "llama_parse.cli.main:parse"

py/package.json

@@ -1,6 +1,6 @@
 {
   "name": "llama-cloud-services-py",
-  "version": "0.6.88",
+  "version": "0.6.82",
   "private": false,
   "license": "MIT",
   "scripts": {},

py/pyproject.toml

@@ -7,7 +7,6 @@ dev = [
   "pytest>=8.0.0,<9",
   "pytest-xdist>=3.6.1,<4",
   "pytest-asyncio",
-  "pytest-timeout>=2.3.1",
   "ipykernel>=6.29.0,<7",
   "pre-commit==3.2.0",
   "autoevals>=0.0.114,<0.0.115",
@@ -23,7 +22,7 @@ dev = [
 
 [project]
 name = "llama-cloud-services"
-version = "0.6.88"
+version = "0.6.83"
 description = "Tailored SDK clients for LlamaCloud services."
 authors = [{name = "Logan Markewich", email = "logan@runllama.ai"}]
 requires-python = ">=3.9,<4.0"
@@ -31,7 +30,7 @@ readme = "README.md"
 license = "MIT"
 dependencies = [
   "llama-index-core>=0.12.0",
-  "llama-cloud==0.1.45",
+  "llama-cloud==0.1.44",
   "pydantic>=2.8,!=2.10",
   "click>=8.1.7,<9",
   "python-dotenv>=1.0.1,<2",

py/tests/beta/sheets/test_sheets.py

@@ -2,58 +2,24 @@ import os
 import tempfile
 import pytest
 import pandas as pd
-from pydantic import ValidationError
 
 from llama_cloud_services.beta.sheets import LlamaSheets
 from llama_cloud_services.beta.sheets.types import SpreadsheetParsingConfig
 
 
-class TestSpreadsheetParsingConfig:
-    """Unit tests for SpreadsheetParsingConfig."""
-
-    def test_default_values(self):
-        """Test that default values are set correctly."""
-        config = SpreadsheetParsingConfig()
-        assert config.flatten_hierarchical_tables is False
-        assert config.table_merge_sensitivity == "strong"
-
-    def test_custom_values(self):
-        """Test setting custom values for new fields."""
-        config = SpreadsheetParsingConfig(
-            flatten_hierarchical_tables=True,
-            table_merge_sensitivity="weak",
-        )
-        assert config.flatten_hierarchical_tables is True
-        assert config.table_merge_sensitivity == "weak"
-
-    def test_table_merge_sensitivity_validation(self):
-        """Test that invalid table_merge_sensitivity values are rejected."""
-        with pytest.raises(ValidationError):
-            SpreadsheetParsingConfig(table_merge_sensitivity="invalid")
-
-    def test_unknown_fields_ignored(self):
-        """Test that unknown fields are silently ignored."""
-        config = SpreadsheetParsingConfig(
-            unknown_field="test",
-            another_unknown=123,
-        )
-        assert not hasattr(config, "unknown_field")
-        assert not hasattr(config, "another_unknown")
-
-
 @pytest.fixture
 def sheets_client():
     """Create a LlamaSheets client for testing."""
-    api_key = os.getenv("LLAMA_CLOUD_API_KEY")
-    base_url = os.getenv("LLAMA_CLOUD_BASE_URL", "https://api.cloud.llamaindex.ai")
-    project_id = os.getenv("LLAMA_CLOUD_PROJECT_ID")
+    api_key = os.getenv(
+        "LLAMA_CLOUD_API_KEY", "llx-3AEorIw5v0lnJPzEOI9xSl0N8yFx3fguw0Zn8QJHzGWmwg5r"
+    )
+    base_url = os.getenv("LLAMA_CLOUD_BASE_URL", "https://api.staging.llamaindex.ai")
 
     client = LlamaSheets(
         api_key=api_key,
         base_url=base_url,
         max_timeout=300,
         poll_interval=2,
-        project_id=project_id,
     )
     return client
 
@@ -85,7 +51,10 @@ def sample_excel_file():
 
 
 @pytest.mark.skipif(
-    os.environ.get("LLAMA_CLOUD_API_KEY", "") == "",
+    os.environ.get(
+        "LLAMA_CLOUD_API_KEY", "llx-3AEorIw5v0lnJPzEOI9xSl0N8yFx3fguw0Zn8QJHzGWmwg5r"
+    )
+    == "",
     reason="LLAMA_CLOUD_API_KEY not set",
 )
 @pytest.mark.asyncio
@@ -165,7 +134,10 @@ async def test_spreadsheet_extraction_e2e(
 
 
 @pytest.mark.skipif(
-    os.environ.get("LLAMA_CLOUD_API_KEY", "") == "",
+    os.environ.get(
+        "LLAMA_CLOUD_API_KEY", "llx-3AEorIw5v0lnJPzEOI9xSl0N8yFx3fguw0Zn8QJHzGWmwg5r"
+    )
+    == "",
     reason="LLAMA_CLOUD_API_KEY not set",
 )
 @pytest.mark.asyncio

py/tests/test_files_client.py

@@ -78,7 +78,7 @@ async def test_upload_bytes(
     uploaded_file = await file_client.upload_bytes(file_bytes, external_file_id)
 
     assert isinstance(uploaded_file, File)
-    expected_name = external_file_id
+    expected_name = external_file_id if use_presigned_url else "upload"
     assert uploaded_file.name == expected_name
     assert uploaded_file.external_file_id == external_file_id
 
@@ -100,7 +100,7 @@ async def test_upload_buffer(
     uploaded_file = await file_client.upload_buffer(buffer, external_file_id, file_size)
 
     assert isinstance(uploaded_file, File)
-    expected_name = external_file_id
+    expected_name = external_file_id if use_presigned_url else "upload"
     assert uploaded_file.name == expected_name
     assert uploaded_file.external_file_id == external_file_id
 

py/uv.lock

@@ -1,10 +1,9 @@
 version = 1
-revision = 2
+revision = 3
 requires-python = ">=3.9, <4.0"
 resolution-markers = [
     "python_full_version >= '3.14'",
-    "python_full_version >= '3.12' and python_full_version < '3.14'",
-    "python_full_version == '3.11.*'",
+    "python_full_version >= '3.11' and python_full_version < '3.14'",
     "python_full_version == '3.10.*'",
     "python_full_version < '3.10'",
 ]
@@ -221,8 +220,7 @@ name = "argon2-cffi-bindings"
 version = "25.1.0"
 source = { registry = "https://pypi.org/simple" }
 resolution-markers = [
-    "python_full_version >= '3.12' and python_full_version < '3.14'",
-    "python_full_version == '3.11.*'",
+    "python_full_version >= '3.11' and python_full_version < '3.14'",
     "python_full_version == '3.10.*'",
     "python_full_version < '3.10'",
 ]
@@ -591,8 +589,7 @@ version = "8.2.1"
 source = { registry = "https://pypi.org/simple" }
 resolution-markers = [
     "python_full_version >= '3.14'",
-    "python_full_version >= '3.12' and python_full_version < '3.14'",
-    "python_full_version == '3.11.*'",
+    "python_full_version >= '3.11' and python_full_version < '3.14'",
     "python_full_version == '3.10.*'",
 ]
 dependencies = [
@@ -723,15 +720,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/33/6b/e0547afaf41bf2c42e52430072fa5658766e3d65bd4b03a563d1b6336f57/distlib-0.4.0-py2.py3-none-any.whl", hash = "sha256:9659f7d87e46584a30b5780e43ac7a2143098441670ff0a49d5f9034c54a6c16", size = 469047, upload-time = "2025-07-17T16:51:58.613Z" },
 ]
 
-[[package]]
-name = "et-xmlfile"
-version = "2.0.0"
-source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/d3/38/af70d7ab1ae9d4da450eeec1fa3918940a5fafb9055e934af8d6eb0c2313/et_xmlfile-2.0.0.tar.gz", hash = "sha256:dab3f4764309081ce75662649be815c4c9081e88f0837825f90fd28317d4da54", size = 17234, upload-time = "2024-10-25T17:25:40.039Z" }
-wheels = [
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-source = { registry = "https://pypi.org/simple" }
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ts/llama_cloud_services/CHANGELOG.md

@@ -1,11 +1,5 @@
 # llama-cloud-services
 
-## 0.4.3
-
-### Patch Changes
-
-- 71db318: Add tier and version
-
 ## 0.4.2
 
 ### Patch Changes

ts/llama_cloud_services/package.json

@@ -1,6 +1,6 @@
 {
   "name": "llama-cloud-services",
-  "version": "0.4.3",
+  "version": "0.4.2",
   "type": "module",
   "license": "MIT",
   "scripts": {

ts/llama_cloud_services/src/LLamaCloudFileService.ts

@@ -1,7 +1,7 @@
 import {
   addFilesToPipelineApiApiV1PipelinesPipelineIdFilesPut,
   getPipelineFileStatusApiV1PipelinesPipelineIdFilesFileIdStatusGet,
-  listPipelineFiles2ApiV1PipelinesPipelineIdFiles2Get,
+  listPipelineFilesApiV1PipelinesPipelineIdFilesGet,
   listProjectsApiV1ProjectsGet,
   readFileContentApiV1FilesIdContentGet,
   searchPipelinesApiV1PipelinesGet,
@@ -97,20 +97,21 @@ export class LLamaCloudFileService {
    */
   public static async getFileUrl(pipelineId: string, filename: string) {
     initService();
-    const response = await listPipelineFiles2ApiV1PipelinesPipelineIdFiles2Get({
-      path: {
-        pipeline_id: pipelineId,
-      },
-      throwOnError: true,
-    });
-    const file = response.data.files.find((file) => file.name === filename);
+    const { data: allPipelineFiles } =
+      await listPipelineFilesApiV1PipelinesPipelineIdFilesGet({
+        path: {
+          pipeline_id: pipelineId,
+        },
+        throwOnError: true,
+      });
+    const file = allPipelineFiles.find((file) => file.name === filename);
     if (!file?.file_id) return null;
     const { data: fileContent } = await readFileContentApiV1FilesIdContentGet({
       path: {
         id: file.file_id,
       },
       query: {
-        project_id: file.project_id || null,
+        project_id: file.project_id,
       },
       throwOnError: true,
     });

ts/llama_cloud_services/src/reader.ts

@@ -186,8 +186,6 @@ export class LlamaParseReader extends FileReader {
   page_footer_suffix?: string | undefined;
   merge_tables_across_pages_in_markdown?: boolean | undefined;
   extract_printed_page_number?: boolean | undefined;
-  tier?: string | undefined;
-  version?: string | undefined;
 
   constructor(
     params: Partial<Omit<LlamaParseReader, "language" | "apiKey">> & {
@@ -385,8 +383,6 @@ export class LlamaParseReader extends FileReader {
       merge_tables_across_pages_in_markdown:
         this.merge_tables_across_pages_in_markdown,
       extract_printed_page_number: this.extract_printed_page_number,
-      tier: this.tier,
-      version: this.version,
     } satisfies {
       [Key in keyof BodyUploadFileApiParsingUploadPost]-?:
         | BodyUploadFileApiParsingUploadPost[Key]