Message Parser

Convert raw chat exports into a strict array of parsed message objects.

Quick Triggers

• Parse this WhatsApp export file.
• Convert this group dump into structured messages.
• Clean this TXT chat into timestamp/sender/content rows.

Recommended Chain

message-parser -> lead-extractor -> india-location-normalizer -> sentiment-priority-scorer -> summary-generator -> action-suggester -> lead-storage

Execute Workflow

• Accept raw WhatsApp export input as plain text, JSON, or file contents already loaded by Supervisor.
• Detect and parse the source format, including WhatsApp export lines like DD/MM/YYYY, HH:MM - sender: message.
• Normalize each event into exactly three fields:
• timestamp (RFC 3339 date-time string)
• sender (non-empty string)
• content (string; allow empty message bodies)
• Merge multiline continuation lines into the previous message when they do not start with a new timestamp marker.
• Preserve message ordering. If timestamps collide, preserve original source order.
• Ignore chat-system boilerplate as lead content (encryption notice, group created, member added) while preserving raw line fidelity for audit.
• Validate output against references/parsed-message-array.schema.json.
• Return only the validated array.

Enforce Boundaries

• Never infer or extract leads.
• Never write to databases or files.
• Never generate summaries or action plans.
• Never send or schedule outbound communication.
• Never bypass Supervisor routing.

Handle Errors

• Return explicit parse errors for malformed entries.
• Include line offsets when source lines are available.
• Fail closed if output cannot satisfy the schema.