Classify v2 fake, agent_data.create migration, downstream copier updates (#268)

pyproject.toml

@@ -1,5 +1,5 @@
 [project]
-name = "extraction-review"
+name = "extract-basic"
 version = "0.1.0"
 description = "Extracts data"
 readme = "README.md"
@@ -12,7 +12,7 @@ dependencies = [
     "httpx>=0.28.1",
     "llama-index-core>=0.14.0",
     "respx>=0.22.0,<1",
-    "llama-cloud>=2.3.0,<3",
+    "llama-cloud>=2.4.1,<3",
     "json-schema-to-pydantic>=0.4.8",
 ]
 
@@ -35,6 +35,9 @@ dev = [
 requires = ["hatchling"]
 build-backend = "hatchling.build"
 
+[tool.hatch.build.targets.wheel]
+packages = ["src/extraction_review"]
+
 [tool.hatch.envs.default.scripts]
 "format" = "ruff format ."
 "format-check" = "ruff format --check ."

src/extraction_review/process_file.py

@@ -224,7 +224,7 @@ class ProcessFileWorkflow(Workflow):
                     f"Removed {delete_result.deleted_count} existing record(s) "
                     f"for file {extracted_data.file_name}"
                 )
-        item = await llama_cloud_client.beta.agent_data.agent_data(
+        item = await llama_cloud_client.beta.agent_data.create(
             data=data_dict,
             deployment_name=agent_name or "_public",
             collection=EXTRACTED_DATA_COLLECTION,