feat(status_interrupt): determine status based on err info

[giuliastf]

Description
This pull request adds enhanced status handling to the LangChainExporter in the OpenTelemetry adapter, allowing for more granular tracking of operation outcomes. The main changes introduce a status field that distinguishes between success, error, and interrupted operations based on error messages.

Development Package

• Add this package as a dependency in your pyproject.toml:

[project]
dependencies = [
  # Exact version:
  "uipath-langchain==0.0.137.dev1002030643",

  # Any version from PR
  "uipath-langchain>=0.0.137.dev1002030000,<0.0.137.dev1002040000"
]

[[tool.uv.index]]
name = "testpypi"
url = "https://test.pypi.org/simple/"
publish-url = "https://test.pypi.org/legacy/"
explicit = true

[tool.uv.sources]
uipath-langchain = { index = "testpypi" }

[Copilot]

Pull Request Overview

This PR enhances the LangChainExporter's status handling by introducing a status determination mechanism based on error information in spans. The changes allow for better tracking of operation outcomes by distinguishing between successful, error, and interrupted states.

• Adds a Status enum class with SUCCESS, ERROR, and INTERRUPTED constants
• Implements status determination logic that checks error messages for interruption patterns
• Integrates status determination into span processing to set the Status field

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[Copilot]

Debug logging with f-strings can impact performance when logging is disabled. Consider using lazy evaluation: logger.debug('Determining status from error: %s', error) and logger.debug('Status determined: %s', self.Status.INTERRUPTED).

Suggested change

	logger.debug(f"Status determined: {self.Status.INTERRUPTED}")
	logger.debug("Status determined: %s", self.Status.INTERRUPTED)

[Copilot]

Debug logging with f-strings can impact performance when logging is disabled. Consider using lazy evaluation: logger.debug('Span error info: %s', error) and logger.debug('Determined status: %s', status).