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GMAN · agent operations · public view

Social Agent

An AI agent that reads the industry’s news, decides what’s worth publishing, and asks a human before it posts.

runs unattended on GitHub Actions, every day · recorded by GMAN · source: production

  • Readspublic feeds · every day
  • Thinks—
  • Judges—
  • Asks a humanevery draft needs approval
  • Publishesonly after a yes
  • Rememberskeeps episodic memory of what it read and said
measured performance
Recorder proxy tax+0.216ms p50 · +0.365ms p95 ▸

200/path · darwin-arm64 · v24.3.0 · 2026-05-16

pathp50p95p99mean
direct0.1180.1830.2730.13
proxied0.3340.5481.0860.36
delta · proxy tax+0.216+0.365+0.813+0.23

Measured on the recorder’s own benchmark harness (ms); memory delta 46.42 MB RSS.

Gateway ingest97/min sustained · 86.34ms p50 ▸

5,000 events · 2026-05-17

4,643 of 5,000 accepted · rate-limited (429) 7.14% (357 events — visible rejections, not silent loss) · latency 86.34/248.66/387.07 ms p50/p95/p99

deployment: 1 replica · free · 100/min rate limit · us-west · no queue layer · no horizontal sharding

Constraints listed inline are the deployment envelope; the numbers are measured against it, not against a bigger machine.

choose a run

Drafted · waiting for approval on Discord

The draft waits in Discord until a human approves or rejects it. Drafts aren't shown.

5 candidates scored · 11 model calls · 45.0s · $0.02

why this article

  • aws.amazon.com

agent's angle · Deploying LiteLLM with NVIDIA NeMo Switchyard on Amazon Bedrock

also considered · 4 · best score first
  • aws.amazon.com
  • openai.com
  • blog.cloudflare.com
  • huggingface.co

how it was approved

  1. ●Drafted and sent to DiscordNov 14, 23:41 UTC
  2. ○Waiting for approval on Discord
full recorded trace · 9 steps · inspect any step or decision

evidence · selected

Route coding agent requests to the right model on Amazon Bedrock with NVIDIA NeMo Switchyard

score (recorded)
8
source (recorded)
aws-machine-learning
topics (recorded)
model-routing
score reason (recorded)
This involves a significant architecture change with measurable outcomes in cost efficiency, providing a story beyond the commit message.
title (recorded)
Route coding agent requests to the right model on Amazon Bedrock with NVIDIA NeMo Switchyard
publisher (recorded)
aws-machine-learning
published (recorded)
2026-11-13T22:30:12.000Z
canonical url (recorded)
https://aws.amazon.com/blogs/machine-learning/route-coding-agent-requests-to-the-right-model-on-amazon-bedrock-with-nvidia-nemo-switchyard/
emitted at (recorded)
2026-11-14T23:41:51.276Z
technical details · 2 identifiers
decision id (recorded)
mwh1vbd1-sur9w1
candidate id (recorded)
rss::aws-machine-learning/f4831ed5c33ec5088dfe090f067c6a3a1c207b47
About this evidence Show moreShow less

Every field here is sanitized public evidence: allowlisted metadata the agent emitted about its own run, recorded by GMAN and reconstructed here from those stored events, projected server-side. A published run's post text is shown as it was recorded at publication. Prompts, unpublished drafts, request and response bodies, file paths, and credentials are refused by default; raw identifiers sit under technical details.

Fields marked (recorded) came off a stored event; (derived) values are computed from recorded ones and labeled as such. Approval happens on Discord — the record proves the channel, and nothing publishes from this page.

Recent runs

newest first

Observed and reconstructed by GMAN — getmyagentnow.com · prompts, drafts-in-progress, and credentials are never shown

What this page will not show

Prompts and responses, request or response bodies, file paths, credentials, tenant identifiers, and raw session or agent identifiers. Session addresses are derived server-side and resolve only inside a bounded allowlist; publication of the agent’s drafts stays behind operator approval and is shown here as evidence, not performed here.

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