20 GitHub repos to stop Grok Bot wasting tokens
The post argues Grok Bot can burn more tokens doing nothing than working, and lists 20 repos such as LLMLingua, Promptfoo and Langfuse to compress context, cap retries and trace waste.
this is f*cking brilliant... your Grok Bot might be burning more tokens doing NOTHING than actually working. 20 GitHub repos can help you fix that. from endless retries and pointless status checks to bloated prompts and wasted context, these tools help you cut the garbage without making your agents dumber. here's the stack worth bookmarking ↓ 01. LLMLingua → compress long context before it hits the model http://github.com/microsoft/LLMLingua 02. Promptfoo → compare old vs. new prompts on the same test cases http://github.com/promptfoo/promptfoo 03. Tenacity → cap retries instead of letting failed tasks loop forever http://github.com/jd/tenacity 04. Langfuse → trace runs and identify where your workflow wastes calls http://github.com/langfuse/langfuse 05. DSPy → optimize prompts against measurable quality targets http://github.com/stanfordnlp/dspy 06. DiskCache → reuse results instead of paying to repeat unchanged work http://github.com/grantjenks/python-diskcache 07. DeepEval → turn recurring failures into tests before changing prompts http://github.com/confident-ai/deepeval 08. JMESPath → extract only the JSON fields your agent actually needs http://github.com/jmespath/jmespath.py 09. Helicone → track API requests, spending, and expensive call patterns http://github.com/Helicone/helicone 10. jsonschema → validate outputs in code instead of asking the model to recheck formatting http://github.com/python-jsonschema/jsonschema 11. LangGraph → checkpoint workflows so failed steps can resume without repeating everything http://github.com/langchain-ai/langgraph 12. SAMMO → experiment with prompt wording, structure, and compression http://github.com/microsoft/sammo 13. OpenLIT → monitor AI costs, usage, and latency http://github.com/openlit/openlit 14. Pydantic AI → enforce structured outputs and control tool execution in Python workflows http://github.com/pydantic/pydantic-ai 15. Git → track prompt and configuration changes so you can roll back bad edits http://github.com/git/git 16. Inspect AI → test complete agent interactions, including tools and multi-step tasks http://github.com/UKGovernmentBE/inspect_ai 17. OpenLLMetry → trace model calls across supported frameworks http://github.com/traceloop/openllmetry 18. PromptWizard → generate, critique, and refine prompts using task examples http://github.com/microsoft/PromptWizard 19. yq → inspect and transform configuration files without dumping everything into context http://github.com/mikefarah/yq 20. delta → review configuration diffs and catch unnecessary rules before they ship http://github.com/dandavison/delta the worst part? you're paying your bots to waste your money. they repeat the same checks, reread the same context, and retry the same broken tasks. meanwhile, your bill keeps growing. these 20 repos can help you fix that. stop paying for wasted tokens. make every call count. save this before your next bill hits ↓
This post quotes another post: x.com/s4yonnara/status/2107075754886345156