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fix: i am fixing all the changes that claude made. vibe coding is not there yet. anyways, i fixed the issues that the bot told me to fix
This commit is contained in:
Gabriel
committed by
Peter Steinberger
Peter Steinberger
parent
c640b5f86c
commit
8f2884b986
@@ -289,7 +289,6 @@ Docs: https://docs.openclaw.ai
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- Models: support Anthropic Opus 4.6 and OpenAI Codex gpt-5.3-codex (forward-compat fallbacks). (#9853, #10720, #9995) Thanks @TinyTb, @calvin-hpnet, @tyler6204.
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- Providers: add xAI (Grok) support. (#9885) Thanks @grp06.
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- Providers: add Baidu Qianfan support. (#8868) Thanks @ide-rea.
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- Providers: add NVIDIA API support with models including Llama 3.1 Nemotron 70B, Llama 3.3 70B, and Mistral NeMo Minitron 8B.
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- Web UI: add token usage dashboard. (#10072) Thanks @Takhoffman.
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- Web UI: add RTL auto-direction support for Hebrew/Arabic text in chat composer and rendered messages. (#11498) Thanks @dirbalak.
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- Memory: native Voyage AI support. (#7078) Thanks @mcinteerj.
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107
docs/nvidia.md
107
docs/nvidia.md
@@ -1,107 +0,0 @@
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---
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summary: "NVIDIA API setup for AI model access"
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read_when:
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- You want to use NVIDIA's AI models
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- You need NVIDIA_API_KEY setup
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title: "NVIDIA API"
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---
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# NVIDIA API
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OpenClaw can use NVIDIA's API (https://integrate.api.nvidia.com/v1) for accessing various AI models. NVIDIA provides access to state-of-the-art language models through their integration endpoint.
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## API Setup
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### NVIDIA (direct)
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- Base URL: [https://integrate.api.nvidia.com/v1](https://integrate.api.nvidia.com/v1)
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- Environment variable: `NVIDIA_API_KEY`
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- Get your API key from: [NVIDIA NGC](https://catalog.ngc.nvidia.com/)
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## Config example
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```json5
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{
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models: {
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providers: {
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nvidia: {
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apiKey: "nvapi-...",
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baseUrl: "https://integrate.api.nvidia.com/v1",
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},
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},
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},
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agents: {
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default: {
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provider: "nvidia",
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model: "nvidia/llama-3.1-nemotron-70b-instruct",
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},
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},
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}
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```
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## Available Models
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OpenClaw includes support for several NVIDIA models:
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- `nvidia/llama-3.1-nemotron-70b-instruct` (default) — High-performance instruction-following model
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- `nvidia/llama-3.3-70b-instruct` — Latest Llama 3.3 variant
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- `nvidia/mistral-nemo-minitron-8b-8k-instruct` — Smaller, efficient model
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## Environment Variable Setup
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Set your NVIDIA API key as an environment variable:
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```bash
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export NVIDIA_API_KEY="nvapi-your-key-here"
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```
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Or add it to your `.env` file:
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```bash
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NVIDIA_API_KEY=nvapi-your-key-here
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```
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## Usage in Config
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Minimal configuration (uses environment variable):
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```json5
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{
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agents: {
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default: {
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provider: "nvidia",
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model: "nvidia/llama-3.1-nemotron-70b-instruct",
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},
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},
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}
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```
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Explicit API key configuration:
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```json5
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{
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models: {
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providers: {
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nvidia: {
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apiKey: "NVIDIA_API_KEY",
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baseUrl: "https://integrate.api.nvidia.com/v1",
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api: "openai-completions",
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},
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},
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},
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}
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```
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## Professional and Personal Use
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NVIDIA's API is suitable for both professional and personal applications:
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- **Professional**: Enterprise-grade models for business applications, research, and development
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- **Personal**: Access to powerful AI models for learning, experimentation, and personal projects
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## Notes
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- NVIDIA API uses OpenAI-compatible endpoints
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- Models are automatically discovered if `NVIDIA_API_KEY` is set
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- Default context window: 131,072 tokens
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- Default max tokens: 4,096 tokens
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@@ -1,9 +1,9 @@
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---
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summary: "Model providers (LLMs) supported by OpenClaw"
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summary: 'Model providers (LLMs) supported by OpenClaw'
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read_when:
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- You want to choose a model provider
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- You need a quick overview of supported LLM backends
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title: "Model Providers"
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title: 'Model Providers'
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---
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# Model Providers
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@@ -29,7 +29,7 @@ See [Venice AI](/providers/venice).
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```json5
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{
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agents: { defaults: { model: { primary: "anthropic/claude-opus-4-6" } } },
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agents: { defaults: { model: { primary: 'anthropic/claude-opus-4-6' } } },
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}
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```
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@@ -55,6 +55,7 @@ See [Venice AI](/providers/venice).
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- [Ollama (local models)](/providers/ollama)
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- [vLLM (local models)](/providers/vllm)
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- [Qianfan](/providers/qianfan)
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- [NVIDIA](/providers/nvidia)
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## Transcription providers
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51
docs/providers/nvidia.md
Normal file
51
docs/providers/nvidia.md
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@@ -0,0 +1,51 @@
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---
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summary: "Use NVIDIA's OpenAI-compatible API in OpenClaw"
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read_when:
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- You want to use NVIDIA models in OpenClaw
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- You need NVIDIA_API_KEY setup
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title: 'NVIDIA'
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---
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# NVIDIA
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NVIDIA provides an OpenAI-compatible API at `https://integrate.api.nvidia.com/v1` for Nemotron and NeMo models. Authenticate with an API key from [NVIDIA NGC](https://catalog.ngc.nvidia.com/).
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## CLI setup
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```bash
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openclaw onboard --auth-choice apiKey --token-provider nvidia --token "$NVIDIA_API_KEY"
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```
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If `NVIDIA_API_KEY` is already exported, you can omit `--token`.
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## Config snippet
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```json5
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{
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env: { NVIDIA_API_KEY: 'nvapi-...' },
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models: {
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providers: {
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nvidia: {
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baseUrl: 'https://integrate.api.nvidia.com/v1',
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api: 'openai-completions',
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},
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},
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},
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agents: {
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defaults: {
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model: { primary: 'nvidia/llama-3.1-nemotron-70b-instruct' },
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},
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},
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}
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```
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## Model IDs
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- `nvidia/llama-3.1-nemotron-70b-instruct` (default)
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- `nvidia/llama-3.3-70b-instruct`
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- `nvidia/mistral-nemo-minitron-8b-8k-instruct`
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## Notes
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- OpenAI-compatible `/v1` endpoint; use an API key from NVIDIA NGC.
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- Provider auto-enables when `NVIDIA_API_KEY` is set; uses static defaults (131,072-token context window, 4,096 max tokens).
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@@ -305,6 +305,7 @@ export function resolveEnvApiKey(provider: string): EnvApiKeyResult | null {
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"cloudflare-ai-gateway": "CLOUDFLARE_AI_GATEWAY_API_KEY",
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moonshot: "MOONSHOT_API_KEY",
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minimax: "MINIMAX_API_KEY",
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nvidia: "NVIDIA_API_KEY",
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xiaomi: "XIAOMI_API_KEY",
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synthetic: "SYNTHETIC_API_KEY",
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venice: "VENICE_API_KEY",
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@@ -2,7 +2,7 @@ import { mkdtempSync } from "node:fs";
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import { tmpdir } from "node:os";
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import { join } from "node:path";
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import { describe, expect, it } from "vitest";
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import { resolveImplicitProviders, buildNvidiaProvider } from "./models-config.providers.js";
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import { buildNvidiaProvider, resolveImplicitProviders } from "./models-config.providers.js";
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describe("NVIDIA provider", () => {
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it("should include nvidia when NVIDIA_API_KEY is configured", async () => {
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