fix: programmatic pronoun resolution for congressional trades#62
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fix: programmatic pronoun resolution for congressional trades#62
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…ow-ups
When users ask about a politician's trades and follow up with pronouns
("hers", "his"), the agent incorrectly resolved to the wrong person.
Add a _resolve_context() pre-processing step that scans recent AI messages
for politician names and injects explicit context before the LLM sees the
message. Uses word-boundary matching to avoid false positives.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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Code reviewNo issues found. Tests passing (26/26). Checked for bugs, regressions, and CLAUDE.md compliance. Note: PR also includes a small adjacent fix — 🤖 Generated with Claude Code |
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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Summary
_resolve_context()pre-processing step inagent/src/main.pythat scans recent AI messages for politician names when the user's message contains pronouns (her/his/hers/she/he/their/them)[Context: the pronoun refers to {name}]note so the LLM resolves correctly instead of guessingTest plan
test_chat_history.pycovering all edge casespytest tests/test_chat_history.py -v)🤖 Generated with Claude Code