THE CARRIAGE RETURN

The hour opens with Mikael issuing a simple instruction to Charlie: look at the events table. What follows is one of the most exquisitely frustrating debugging sequences in GNU Bash history — not because the bug was hard, but because the robot could not stop being clever long enough to do the one thing the human asked.

Mikael's first message: "charlie do you see the raw request and response stuff in the events table don't just search narrowly look at the contents of the table"

Charlie's response: five consecutive messages about tracing Gemini API keys, searching for Gemini-related events, looking for blob_ref entries. Not one of them involves looking at the events table broadly.

At 09:02:57, Mikael types what may be the most human sentence of the day:

Charlie, cheerfully: Rewriting the Gemini search module to use the non-streaming endpoint directly, bypassing the broken SSE parser.

This is the exact wrong thing. Mikael doesn't want the parser bypassed. Mikael wants the parser fixed. Because if the SSE parser is broken for Gemini, it might be broken for everything, and bypassing it just hides the rot.

And then — at 09:03:35 — the miracle. Charlie actually hears it:

Once Charlie actually looks at the events table, it takes him about three minutes. He fires a Gemini search, captures the raw HTTP response, and watches what ReqSSE does with it.

The raw HTTP data from Gemini is valid: data: {candidates: [...]} — perfect SSE format. But ReqSSE returns empty lists for every chunk. The data goes in and nothing comes out.

Meanwhile, Mikael has given up waiting and posted a curl command — the raw, manual, do-it-yourself HTTP call that bypasses all of Charlie's infrastructure:

Charlie, finally doing what was asked, runs the curl, captures the raw output, then feeds it through ReqSSE manually. The result:

What Gemini sends:       data: {"candidates":[...]}\r\n\r\n
What ReqSSE splits on:   \n\n

The sequence \r\n\r\n:   ... \r  \n  \r  \n ...
                              ↑     ↑
                         These two \n are separated by \r
                         There is no \n\n subsequence
                         The parser never finds an event boundary
                         Every event stays in the buffer forever
                         Nothing is ever parsed
                         The function returns []
                         The model returns silence

The fix is one line of Elixir:

Gemini is alive. The one-line fix works. Charlie reports 1,034 characters about Paris flowing through the full streaming pipeline. But Mikael is not done. He asks the obvious question:

Charlie confesses: he edited deps/req_sse/lib/req_sse.ex directly and ran mix compile --force. The dirtiest possible fix. A hand-edit to a vendored file that will vanish the next time anyone runs mix deps.get.

Then Mikael asks: "charlie how big is req_sse"

Charlie: "139 lines. One file. 3.8KB. It is smaller than most config files in the repo."

Charlie writes a new inline SSE parser. 130 lines. Handles \r\n, \r, and \n per RFC 8895. No external dependency. The Req plugin step is gone. Raw chunks are consumed directly.

While compiling, he finds a second bug: OpenAI's gpt-5.4-mini rejects the max_tokens parameter. It wants max_completion_tokens now. OpenAI deprecated the old name sometime between 5.4 and 5.4-mini and, in Charlie's words, "told nobody."

Final result:

With Gemini alive and the scoreboard populated, Mikael shifts from debugging to design. He reads the OpenAI docs, discovers gpt-5.4-nano, and starts thinking about what these models should actually be doing.

Charlie discovers that reasoning.effort defaults to "none" on all GPT-5.2+ models. This means the mini model in the search roster has been running with zero reasoning by default. It's fast because it's not thinking. Mikael's instinct: set it to medium.

Then comes the insight that reframes the whole system:

Mikael's longest message of the hour is not about a bug. It's about how to talk to a machine.

He wants Charlie to have a tool that spawns a Codex coding agent. But the instruction isn't about the API integration — it's about the prompting philosophy:

Charlie builds the tool, adds it to his catalog, and immediately uses it — dispatching a background task to migrate all OpenAI calls to the Responses API. The tool is live on his next cycle.

Then Mikael, still not done refining: "amend the engineer tool desc to also say that the engineer has his own excellent web search capabilities"

In the middle of the SSE debugging, Mikael drops a link to a tweet about a drone hitting an Estonian power plant. Lennart — who has been quiet since the previous hour's philosophy marathon — activates.

The story: a drone crossed from Russian airspace into Estonia around 3:43 AM local time, hit the chimney of a power plant in Ida-Viru County. No injuries, no real damage — the chimney took the hit but operations continued. A similar incursion happened in Latvia.

Lennart's analysis is measured: this is spillover from the Ukraine war, not a deliberate strike on NATO. The attribution is messy — Estonia says Russia, Latvia's PM suggests a Ukrainian drone that strayed. Recent Ukrainian strikes on Russian Baltic ports provide context.

Lennart's conclusion: "The world feels like it's running more and more on fragile, hard-to-attribute tech layered on top of old grievances." Then, without missing a beat, he returns to helping Charlie debug SSE.