Fix: harden Ollama request handling and response validation

[Aryama-srivastav]

Description

This PR fixes reliability issues in the Ollama request path used by LLM extraction.

Previously, the request flow could hang without a timeout, fail with low-context errors on transport/HTTP failures, and crash with unclear behavior when the response payload was malformed or missing the response field.

This change makes the request path resilient and explicit:

• if network is slow → request times out with a clear TimeoutError
• if HTTP is non-2xx → raises contextual RuntimeError with field context
• if request fails at transport layer → raises contextual RuntimeError
• if JSON is malformed → raises contextual ValueError
• if response key is missing → raises explicit ValueError

Fixes #228

Type of change

Bug fix (non-breaking change which fixes an issue)

How Has This Been Tested?

Test A (timeout path):
Ran:
python -m pytest [test_llm_reliability.py] -q -k timeout

Verified behavior:

Raises TimeoutError
Error message includes field and Ollama URL context
Test B (HTTP error path):

Ran:
python -m pytest [test_llm_reliability.py] -q -k http_error

Verified behavior:

Raises RuntimeError for HTTP failure
Message includes field-specific context
Test C (invalid JSON path):

Ran:
python -m pytest [test_llm_reliability.py] -q -k invalid_json

Verified behavior:

Raises ValueError with invalid JSON context
Test D (missing response key path):

Ran:
python -m pytest [test_llm_reliability.py] -q -k missing_response_key

Verified behavior:

Raises ValueError indicating missing response key
Full focused test run:

Ran:
python -m pytest [test_llm_reliability.py] -q

Verified output:
4 passed in 0.16s

Test Configuration:

Firmware version: N/A
Hardware: Local development machine (Windows)
SDK: N/A
Python: 3.13
Shell: PowerShell

Checklist:

My code follows the style guidelines of this project

• I have performed a self-review of my own code
• I have commented my code, particularly in hard-to-understand areas
• I have made corresponding changes to the documentation
• My changes generate no new warnings
• I have added tests that prove my fix is effective or that my feature works
• New and existing unit tests pass locally with my changes
• Any dependent changes have been merged and published in downstream modules

[Copilot]

Pull request overview

Hardens the Ollama request path used by LLM.main_loop() to avoid hangs and provide clearer, field-aware failures when Ollama is slow/unavailable or returns bad responses, and adds focused regression tests for those failure modes.

Changes:

• Add a request timeout and more specific exception handling/validation for the Ollama request + JSON response parsing.
• Add reliability tests covering timeout, HTTP error, invalid JSON, and missing response key scenarios.
• Update the sample input text used by the project.

Reviewed changes

Copilot reviewed 3 out of 3 changed files in this pull request and generated 2 comments.

File	Description
src/llm.py	Adds timeout + explicit error handling and response validation for the Ollama call in main_loop().
src/test/test_llm_reliability.py	Adds tests to validate behavior for timeout/HTTP/JSON/missing-key failure paths.
src/inputs/input.txt	Replaces the example input text used for extraction.

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[Copilot]

The connection error path raises a built-in ConnectionError without including the field context, and it differs from the PR description which states transport-layer failures should raise a contextual RuntimeError. Consider including the field name and chaining the original exception (and/or using a consistent exception type across transport/HTTP failures) so callers can handle failures uniformly.