nlweb-llm-providers skillA
nlweb-llm-providers is agent-read markdown (skill) from orcaqubits/agentic-commerce-skills-plugins: Configure NLWeb LLM and embedding providers — OpenAI, Azure OpenAI (default), Anthropic, Google Gemini, DeepSeek on Azure, Llama on Azure, HuggingFace, Inception Labs, Snowflake Cortex, Ollama, Pi Labs. Covers `config_llm.yaml` high/low tier model selection, the ModelRouter cost/quality routing logic, `config_embedding.yaml`, and adding a custom provider. Use when picking models, tuning cost, or wiring a new LLM backend..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# NLWeb LLM & Embedding Providers ## Before writing code **Fetch live docs**: 1. Fetch https://github.com/nlweb-ai/NLWeb/blob/main/docs/nlweb-providers.md for the canonical provider list and config schema. 2. Fetch https://github.com/nlweb-ai/NLWeb/blob/main/config/config_llm.yaml for the **exact model IDs and env-var names currently shipped**. 3. Fetch https://github.com/nlweb-ai/NLWeb/blob/main/config/config_embedding.yaml for embedding defaults. 4. Inspect `AskAgent/python/llm_providers/<provider>.py` for the SDK calls the provider class makes. 5. Web-search the latest release notes — new providers and models get added often. ## Conceptual Architecture ### Mixed-Mode = Many Small LLM Calls NLWeb's pipeline doesn't make one big LLM call per query. It makes **many small calls**: decontextualize the query, detect Schema.org item type, route to a tool, rank results, optionally summarize/generate. Each call has a strict `<returnStruc>` JSON schema in `prompts.xml`. Cost and latency are dominated by the *number* of calls, not the size of any single one. ### High / Low Tier Model Selection `config_llm.yaml` defines a **high model** and a **low model** per provider: ```yaml …
Read the whole file at its exact version.
How to install
mdr add orcaqubits/agentic-commerce-skills-plugins/nlweb-llm-providers@git:20260513.4751044mdr add orcaqubits/agentic-commerce-skills-plugins/nlweb-llm-providers@sha256:e7a1e958585906e2Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_2sqq3ueegujtad4f)
1 badge views in 30 days
Versions
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (7244 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
orcaqubits/agentic-commerce-skills-plugins · 39 stars · license MIT · pushed 2026-09-14 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_2sqq3ueegujtad4f GET https://markdownregistry.com/api/v1/resolve?ref=orcaqubits/agentic-commerce-skills-plugins/nlweb-llm-providers GET https://markdownregistry.com/api/v1/blob/e7a1e958585906e279fb392f5f0abedf00800716ba0b8ce81b7175afa4289bea
Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.