feat: LLMW V2 client changes

.github/workflows/ci_test.yaml

@@ -35,8 +35,8 @@ jobs:
     - name: Create test env
       shell: bash
       run: |
-        cp tests/sample.env tests/.env
-        sed -i "s|LLMWHISPERER_API_KEY=|LLMWHISPERER_API_KEY=${{ secrets.LLMWHISPERER_API_KEY }}|" tests/.env
+        cp sample.env .env
+        sed -i "s|LLMWHISPERER_API_KEY=|LLMWHISPERER_API_KEY=${{ secrets.LLMWHISPERER_API_KEY }}|" .env
 
     - name: Run tox
       id: tox

.pre-commit-config.yaml

@@ -17,6 +17,7 @@ repos:
         exclude_types:
           - "markdown"
       - id: end-of-file-fixer
+        exclude: "tests/test_data/.*"
       - id: check-yaml
         args: [--unsafe]
       - id: check-added-large-files
@@ -65,9 +66,7 @@ repos:
         args: [--max-line-length=120]
         exclude: |
           (?x)^(
-              .*migrations/.*\.py|
-              unstract-core/tests/.*|
-              pkgs/unstract-flags/src/unstract/flags/evaluation_.*\.py|
+              tests/test_data/.*|
           )$
   - repo: https://github.com/pycqa/isort
     rev: 5.13.2

README.md

@@ -7,7 +7,7 @@
 
 LLMs are powerful, but their output is as good as the input you provide. LLMWhisperer is a technology that presents data from complex documents (different designs and formats) to LLMs in a way that they can best understand. LLMWhisperer features include Layout Preserving Mode, Auto-switching between native text and OCR modes, proper representation of radio buttons and checkboxes in PDF forms as raw text, among other features. You can now extract raw text from complex PDF documents or images without having to worry about whether the document is a native text document, a scanned image or just a picture clicked on a smartphone. Extraction of raw text from invoices, purchase orders, bank statements, etc works easily for structured data extraction with LLMs powered by LLMWhisperer's Layout Preserving mode. 
 
-Refer to the client documentation for more information: [LLMWhisperer Client Documentation](https://docs.unstract.com/llm_whisperer/python_client/llm_whisperer_python_client_intro)
+Refer to the client documentation for more information: [LLMWhisperer Client Documentation](https://docs.unstract.com/llmwhisperer/index.html)
 
 ## Features
 

pyproject.toml

@@ -10,7 +10,7 @@ dependencies = [
     "requests>=2",
 ]
 readme = "README.md"
-urls = { Homepage = "https://llmwhisperer.unstract.com", Source = "https://github.com/Zipstack/llm-whisperer-python-client" }
+urls = { Homepage = "https://unstract.com/llmwhisperer/", Source = "https://github.com/Zipstack/llm-whisperer-python-client" }
 license = {text = "AGPL v3"}
 authors = [
     {name = "Zipstack Inc", email = "[email protected]"},
@@ -69,7 +69,7 @@ includes = ["src"]
 package-dir = "src"
 
 [tool.pytest.ini_options]
-env_files = ["tests/.env"]
+env_files = [".env"]
 addopts = "-s"
 log_level = "INFO"
 log_cli = true

tests/sample.env → sample.env

@@ -1,3 +1,4 @@
 LLMWHISPERER_BASE_URL=https://llmwhisperer-api.unstract.com/v1
+LLMWHISPERER_BASE_URL_V2=https://llmwhisperer-api.us-central.unstract.com/api/v2
 LLMWHISPERER_LOG_LEVEL=DEBUG
 LLMWHISPERER_API_KEY=

src/unstract/llmwhisperer/__init__.py

@@ -1,8 +1,9 @@
-__version__ = "0.22.0"
+__version__ = "0.23.0"
 
 from .client import LLMWhispererClient  # noqa: F401
+from .client_v2 import LLMWhispererClientV2  # noqa: F401
 
 
-def get_sdk_version():
+def get_llmw_py_client_version():
     """Returns the SDK version."""
     return __version__

src/unstract/llmwhisperer/client.py

@@ -58,9 +58,7 @@ class LLMWhispererClient:
     client's activities and errors.
     """
 
-    formatter = logging.Formatter(
-        "%(asctime)s - %(name)s - %(levelname)s - %(message)s"
-    )
+    formatter = logging.Formatter("%(asctime)s - %(name)s - %(levelname)s - %(message)s")
     logger = logging.getLogger(__name__)
     log_stream_handler = logging.StreamHandler()
     log_stream_handler.setFormatter(formatter)
@@ -117,9 +115,7 @@ def __init__(
             self.api_key = os.getenv("LLMWHISPERER_API_KEY", "")
         else:
             self.api_key = api_key
-        self.logger.debug(
-            "api_key set to %s", LLMWhispererUtils.redact_key(self.api_key)
-        )
+        self.logger.debug("api_key set to %s", LLMWhispererUtils.redact_key(self.api_key))
 
         self.api_timeout = api_timeout
 
@@ -169,7 +165,7 @@ def whisper(
         ocr_provider: str = "advanced",
         line_splitter_tolerance: float = 0.4,
         horizontal_stretch_factor: float = 1.0,
-        encoding: str = "utf-8"
+        encoding: str = "utf-8",
     ) -> dict:
         """
         Sends a request to the LLMWhisperer API to process a document.
@@ -240,12 +236,10 @@ def whisper(
         should_stream = False
         if url == "":
             if stream is not None:
-
                 should_stream = True
 
                 def generate():
-                    for chunk in stream:
-                        yield chunk
+                    yield from stream
 
                 req = requests.Request(
                     "POST",
@@ -269,7 +263,7 @@ def generate():
             req = requests.Request("POST", api_url, params=params, headers=self.headers)
         prepared = req.prepare()
         s = requests.Session()
-        response = s.send(prepared, timeout=self.api_timeout, stream=should_stream)
+        response = s.send(prepared, timeout=timeout, stream=should_stream)
         response.encoding = encoding
         if response.status_code != 200 and response.status_code != 202:
             message = json.loads(response.text)