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strayer / gen-telegraf-vigor-snmp.conf
Created December 21, 2020 14:45
Generate telegraf.conf for Vigor DSL model ADSL SNMP
#!/usr/bin/env bash
set -Eeuo pipefail
# download http://www.circitor.fr/Mibs/Mib/A/ADSL-LINE-MIB.mib to $HOME/.snmp/mibs
NAMES=$(snmpwalk -m ALL -v2c -cpublic $VIGOR_IP | grep ADSL | cut -f1 -d' ')
for i in $NAMES; do
SHORTNAME=$(printf "$i" | cut -f3 -d":" | cut -f1 -d'.')
OID=$(snmptranslate -On "$i")
# This is the OpenMW user 'settings.cfg' file. This file only contains
# explicitly changed settings. If you would like to revert a setting
# to its default, simply remove it from this file. For available
# settings, see the file 'files/settings-default.cfg' in our source repo or the documentation at:
#
# https://openmw.readthedocs.io/en/master/reference/modding/settings/index.html
[Camera]
viewing distance = 48680
view over shoulder = true
start=Seyda Neen
skip-menu=0
no-sound=0
groundcover=Vurt's Groundcover - Reeds.esp
groundcover=Rem_GL.esp
groundcover=Rem_WG.esp
groundcover=Rem_AL.esp
groundcover=Rem_BC.esp
#!/usr/bin/env bash
set -euo pipefail
# Set the path to your local repository
readonly REPO_PATH="/path/to/your/local/repository"
# Set the log file path
readonly LOG_FILE="/path/to/your/logfile.log"
@strayer
strayer / aws-bedrock-converse-api.md
Created May 23, 2025 17:30
Quick and dirty Markdown export of AWS Bedrock Converse and ConverseStream APIs (no guarantees for completeness and correctness)

Converse

Sends messages to the specified Amazon Bedrock model. Converse provides a consistent interface that works with all models that support messages. This allows you to write code once and use it with different models. If a model has unique inference parameters, you can also pass those unique parameters to the model.

Amazon Bedrock doesn't store any text, images, or documents that you provide as content. The data is only used to generate the response.

You can submit a prompt by including it in the messages field, specifying the modelId of a foundation model or inference profile to run inference on it, and including any other fields that are relevant to your use case.

You can also submit a prompt from Prompt management by specifying the ARN of the prompt version and including a map of variables to values in the promptVariables field. You can append more messages to the prompt by using the messages field. If you use a prompt from Prompt management, you can't include the following fields in t