U G Murthy

1.9K posts

U G Murthy

U G Murthy

@murthyug

https://t.co/fflQCCLLn4

ÜT: 12.887904,77.542893 शामिल हुए Mayıs 2009
374 फ़ॉलोइंग103 फ़ॉलोवर्स
U G Murthy
U G Murthy@murthyug·
@beknabdik Good point. I have in-memory persistence till end of session and good logs for any investigation. Looking for some strong reasons to persist workflow history
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Bek
Bek@beknabdik·
@murthyug persistence is where agent projects either become real or stay demos. the wss gateway route is right. we had the same issue with voice sessions, memory between calls was hack city until we added a proper session store
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U G Murthy
U G Murthy@murthyug·
2/2 Day 8 :
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U G Murthy
U G Murthy@murthyug·
Day 7: Progress - Adaptive agent now stream live events - The Analyser now has rotating file names per restart - The Markdown editor has themes, export to PDF - looks much better. - Parallel runs for child runs - plan in place.
U G Murthy tweet media
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U G Murthy
U G Murthy@murthyug·
Day 6 : Progress - Logger analysis in place - provide good insights to reason for failures and some stats
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U G Murthy
U G Murthy@murthyug·
Day 6 : AdaptiveAgent #BuildInPublic #AI #Agents #Ampcode Plan: - The log analysis revealed - the agent needs a way to deal with status 429 - exponential backoff? - it tries umpteen times when doing web_search or fetching_pages needs some sane upper limits for retries - improve logger analysis to get more insights here is a screen shot of logger analysis
U G Murthy tweet media
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Dioveo
Dioveo@dioveoai·
@murthyug exponential backoff with jitter is the move for 429s. pure exponential without jitter still causes thundering herd when multiple agents restart together after a cooldown
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U G Murthy
U G Murthy@murthyug·
@Agentdailyai For now I am limiting it to offline analysis, for me to fully understand whats going on. The formats are agent friendly (jsonl). I have copy/pasted for providing feedback to coding agents but not the one I am building - lets see how this goes first.
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Agent Daily AI
Agent Daily AI@Agentdailyai·
@murthyug the log analysis piece is the most interesting — are you feeding those logs back into the agent's planning context in real-time, or treating it as offline diagnostics? curious whether live log reflection changes the task success rate vs. post-hoc analysis.
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U G Murthy
U G Murthy@murthyug·
5/n Task #3 Create GTM strategy for a mid-sized US SaaS company (50 employees, $10M ARR) wanting to enter European market. for details see github.com/ugmurthy/adapt…
U G Murthy tweet media
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U G Murthy
U G Murthy@murthyug·
1/n : Day 5: AdaptiveAgent #BuildInPublic #AI #Agents #Ampcode Progress: - Being Sunday kept the plan a bit light - Analysis of log files in place allows run wise, provider wise, overall analysis. Includes hotspot analysis to point out failures (agent as well provider failures) - Provided some long tasks in the areas of Strategy development, Engineering, System design
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