ticket-summarizer agent truncated the vpn logs: log-window overflow handling

TL;DR

The VPN log exceeded the agent's context window and the tail was silently dropped. Chunk the log, extract the relevant sections from each chunk, then summarize the extracts.

The query

ticket-summarizer agent truncated the vpn logs: log-window overflow handling

Use this when

• summaries miss the actual error in the log
• long logs produce generic summaries
• the summary covers only the log start

Not for

• short logs summarizing poorly
• non-log ticket summarization
• model quality issues

Steps

1. Measure the log size against the agent's effective context window. Expected output: the overflow is quantified.
2. Split the log into overlapping chunks that fit the window. Expected output: full coverage with no gaps.
3. Extract candidate error sections from each chunk with targeted patterns. Expected output: the relevant lines are isolated.
4. Summarize the extracts, not the raw log. Expected output: a summary grounded in the actual errors.
5. Flag when extraction finds nothing; the patterns may need updating. Expected output: empty results are visible, not silent.

Applies to

Ticket summarizer agents, VPN log analysis, long-context processing patterns.

Variant phrasings

Log fits but summary still misses the error

The extraction patterns are wrong; tune them against real failures.

Multiple logs per ticket

Extract per log, then fuse the extracts before summarizing.

Why it happens

Truncation is silent: the model never knows what it did not see. Extract-then-summarize keeps the evidence in view regardless of log size.

Edge cases

• Overlapping chunks avoid splitting an error across a boundary.
• Keep the raw log linked; the summary is a pointer, not a replacement.
• Time-order the extracts so the summary reads causally.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_azb9QKT5sQ82sbMKeo-GVw