morganmcg1

ources.
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I am browsing the URL: https://llmstxt.org/
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I am browsing the URL: https://weave-docs.wandb.ai/
Now that I have a good understanding of both the llms.txt concept and Weave's documentation, I'll create an appropriate llms.txt file for Weave. I'll focus on making it useful for LLMs to understand and work with Weave's capabilities.
Edited the contents of a file
I've created a comprehensive llms.txt file for Weave that follows the standard format and provides structured information about the framework. Here's what I included:
Title (H1): Clear identification of the project

morganmcg1

# Weights & Biases (W&B) Weave

> Weave is a framework for tracking, experimenting with, evaluating, deploying, and improving LLM-based applications. It provides comprehensive tools for tracing LLM calls, monitoring application behavior, systematic prompt engineering, evaluation, and deployment of guardrails in production.

Weave is designed to support the entire lifecycle of LLM application development, from initial experimentation to production deployment. Key capabilities include:

- Tracing and monitoring of LLM interactions and application logic
- Systematic iteration on prompts, datasets, and models
- Experimentation through an LLM Playground
- Comprehensive evaluation tools with custom and pre-built scorers

morganmcg1

from weave.scorers import WeaveToxicityScorerV1

toxicity_scorer = WeaveToxicityScorerV1()


@weave.op
def call_llm(prompt: str) -> str:
    """Generate text using an LLM."""
    # Your LLM generation logic here
    return prompt.upper()

morganmcg1

<file_tree>
/Users/morganmcguire/ML/marimo
├── .github
├── ├── ISSUE_TEMPLATE
├── └── workflows
├── configs
├── dagger
├── └── src
├── └── └── main
├── development_docs

morganmcg1

Great! I'll find impact shorts for skiing and snowboarding that provide strong protection, are available for purchase in Dublin stores or from EU-based online retailers, and stay within your budget of €75. I'll prioritize options with sufficient padding that meet EU protective standards and fit a women's UK size 10. I'll update you once I have the best recommendations.

Best Impact Shorts for Skiing/Snowboarding (Beginner, Under €75, Ireland/EU)

Protective impact shorts (a.k.a. crash pants) are highly recommended for beginner skiers and snowboarders. They cushion your hips, thighs, and tailbone during falls, preventing bruises especially to the coccyx (tailbone) (Impact Shorts - Buy padded impact shorts for snowboarding) ([Impact Shorts - Buy padded impact shorts for snowboarding](https://www.skatepro.ie/c493.htm#:~:text=Snowboard%20padded%20shorts%20are%20recommended,can%20benefi

morganmcg1

Got it! I'll look for women's ski jackets available in Ireland that are size small, warm, and within your budget of €150. I'll prioritize multi-color options and slightly longer designs that cover your bum. I'll get back to you soon with some recommendations.

Women’s Ski Jackets (Size Small) Under €150 in Ireland

Based on your criteria – size Small, budget up to €150, warmth, waterproofness & breathability, and a slightly longer cut (covers the bum) with a preference for multi-color – here are several highly-rated women’s ski jackets available for purchase in Ireland. Each option offers solid insulation and weather protection for skiing conditions, and each is available in size Small within your budget. Key details (material, insulation type, waterproof rating, features) and purchase links are included:

1. Mountain Warehouse “Altitude Extreme” RECCO Ski Jacket (Women’s)

• Price & Availability: ~€130 (about £129) when not on sale ([Best women’s ski jackets 2024, tried

morganmcg1

Market Analysis: Adult German Learners in the EU and USA (2014–2024)

Market Size and Modality (Online vs. In-Person)

Overall Scale: The German language learning market is substantial. Globally, an estimated 15.4 million people were learning German as a foreign language in formal settings as of 2020 (15.4 million people are learning German – DW – 06/04/2020) Europe accounts for the majority: around 11.2 million German learners in Europe (formal education and courses) according to a 2020 survey (German as a foreign language: Growing numbers learning German in Africa and Asia - Federal Foreign Office ) The United States has a much smaller German-learning popula

morganmcg1

Here's the data formatted as a markdown table:

Tool/Library	Violation Handling	Code Example - Initialization	Code Example - Usage/Calling	How the Guardrail is Used
AWS Bedrock Guardrails	Exceptions, warnings, output modification	bedrock_client.create_guardrail(name='my_guardrail', ...)	response = client.invoke_model_with_guardrail(modelId='anthropic.claude-v2', guardrailId='my_guardrail_id', ...)	Applied to both user inputs and model outputs during inference. Can be used to filter harmful content, block denied topics, redact PII, and filter words.
Nvidia Nemo Guardrails	Reject input, alter input, execute actions, reject output, alter output	config = RailsConfig.from_path("path/to/config")	app = LLMRails(config) new_message = app.generate(messages=[{ "role": "user", "content": "Hello! What can you do for me?" }])	Uses Colang to define flows and a

morganmcg1

Tool/Library	Guardrail Definition	Guardrail Application	Supported Types	Violation Handling	Open Source?	Code Example
AWS Bedrock Guardrails	Rules, constraints, policies	Training, inference	Safety, security, fairness, privacy	Exceptions, warnings, output modification	No	bedrock_client.create_guardrail(name='my_guardrail', ...)
Nvidia Nemo Guardrails	Colang flows	Training, inference	Input, dialog, output, retrieval, execution	Reject input, alter input, execute actions, reject output, alter output	Yes	config = RailsConfig.from_path("path/to/config")
Guardrails Python library	RAIL specifications	Inference	Semantic validation, type enforcement	Corrective actions, re-prompting	Yes	guard = gd.Guard.from_rail_string(rail_str)
LangChain	Integrates with Guardrails Python library	Inference	Content moderation, data privacy, b

morganmcg1

<TITLE>

Problem Statement

Requirements

Functional Requirements