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Remote 200, Local Exit 1. Store the Turn Id on Both Sides.

A coding agent writes a three-file patch during a long run. The remote inference log records HTTP 200 for that turn. The local tool span records exit code 1 for the patch. The agent summary still reports that the edit landed cleanly. No shared identifier connects those three records together. The failure sits in the gap between the two logs. Recent community posts spend their energy on model…

During a lengthy run, a coding agent prepares a patch consisting of three separate files. The remote inference log records an HTTP 200 status code for that particular turn. Concurrently, the local tool span logs an exit code of 1 for the patch. Despite these differing records, the agent summary indicates that the edit was applied smoothly.

However, there exists a gap between the two logs where no shared identifier connects them. This issue arises from the discrepancy between the two sets of logs. In recent discussions within the community, much attention has been focused on the choice of models, rather than addressing this specific problem. This note does not aim to rank models or reiterate these arguments.

Instead, it raises the question of whether both logs can assign the same turn identifier to the same attempt. In the world of logging, two distinct clocks and identifier spaces are used on each side. Local traces typically name tools, arguments, and exit codes, while remote logs focus on model calls, status, and latency. When a retry occurs, a new model call is written under a different request identifier.

Even then, the tool span can still reference the initial attempt. A file diff may not reveal that the connection itself has been broken. This split tends to surface during long agent runs involving multiple tools, and it persists when the runner and server are located far apart. The passage of time can make the timelines appear unrelated, even when they are in fact synchronized.

This note provides a join record and a small checker to help address this issue. Additionally, it offers four mismatch classes and a debug loop for further investigation. The provided code is merely a proposed example and has not been executed within this draft. It is not a benchmark of any specific model or server, and it does not mention token limits or hardware specifications.

When utilizing the fixture counts, treat the labels as indicators of the method, rather than as actual measurements. To ensure proper data flow, store one join row for each model turn and tool span. The trace_id serves to identify the entire agent run from its beginning to its end. The turn_id identifies a single model request along with its corresponding response.

The tool_call_id identifies a single tool call, or remains null for model entries. The parent_turn_id links a tool span to the model turn that initiated it. The attempt field is an integer that begins at 1 for each logical turn. The side field indicates whether the entry pertains to the model or the tool, with no other options being valid.

The server_request_id stores the remote identifier, or remains null if it is not applicable. The status field contains a short code, such as 'ok' or 'error'. The local_mono_ns field records the local monotonic time, expressed in nanoseconds. It is important not to store raw prompts or tool output in this join file. Instead, store a content hash if an equality check is required later on.

Confidential information should not be included in the file until it is exported. Before joining the data, it is crucial to validate it. A checker that attempts to determine parent-child relationships can mask emitter bugs. When a required field is missing or contradictory, the system should fail closed instead of attempting to repair the row by matching the nearest timestamp.

Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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