name: nous-genai description: > Unified interface for all providers and all modalities: use one nous-genai CLI/SDK flow to run text/image/audio/video/embedding across OpenAI, Gemini, Claude, DashScope, Volcengine, and Tuzi, with support for authenticated local MCP workflows.

nous-genai

Quick Start

IMPORTANT: If you rely on .env.* files, run commands in the directory that contains those files (typically this skill base directory). If you pass runtime env vars (inline/export), working directory is not restricted.

# 1) Create `.env.local` in this skill directory
(cd "<SKILL_BASE_DIR>" && { test -f .env.local || touch .env.local; })

# 2) Edit `<SKILL_BASE_DIR>/.env.local` and set at least one provider key (see "Supported Environment Variables").
# Example (OpenAI):
#   NOUS_GENAI_OPENAI_API_KEY=...

# 3) Text
(cd "<SKILL_BASE_DIR>" && uvx --from nous-genai genai --model openai:gpt-4o-mini --prompt "Hello")

# 4) See what you can use (requires at least one provider key configured)
(cd "<SKILL_BASE_DIR>" && uvx --from nous-genai genai model available --all)

If uvx is unavailable, install once and use genai directly:

python -m pip install --upgrade nous-genai
(cd "<SKILL_BASE_DIR>" && genai --model openai:gpt-4o-mini --prompt "Hello")

Configuration (Env Vars, Zero-parameter)

Configuration is managed via environment variables.

You can set env vars in two ways:

Runtime env vars (inline before command, or export in shell)
Env files (.env.local, .env.production, .env.development, .env.test)

Recommended for this skill:

Put stable/project-level config in <SKILL_BASE_DIR>/.env.local
Use runtime env vars for one-off overrides

Runtime example (inline):

(cd "<SKILL_BASE_DIR>" && NOUS_GENAI_OPENAI_API_KEY=... uvx --from nous-genai genai --model openai:gpt-4o-mini --prompt "Hello")

When env files are used, SDK/CLI/MCP loads them automatically with priority (high -> low):

.env.local > .env.production > .env.development > .env.test

Process env vars override .env.* (SDK uses os.environ.setdefault()).

Minimal .env.local (OpenAI text only):

NOUS_GENAI_OPENAI_API_KEY=...
NOUS_GENAI_TIMEOUT_MS=120000

Notes:

Do not commit .env.local (add it to .gitignore if needed).
Provider keys also accept non-prefixed vars like OPENAI_API_KEY, but prefer NOUS_GENAI_* for clarity.

Supported Environment Variables

Common runtime

NOUS_GENAI_TIMEOUT_MS (default: 120000)
NOUS_GENAI_URL_DOWNLOAD_MAX_BYTES (default: 134217728)
NOUS_GENAI_ALLOW_PRIVATE_URLS (1/true/yes to allow private/loopback URL download)
NOUS_GENAI_TRANSPORT (internal transport marker; MCP server uses mcp, legacy sse is accepted)

Provider credentials

OpenAI: NOUS_GENAI_OPENAI_API_KEY or OPENAI_API_KEY
Google (Gemini): NOUS_GENAI_GOOGLE_API_KEY or GOOGLE_API_KEY
Anthropic (Claude): NOUS_GENAI_ANTHROPIC_API_KEY or ANTHROPIC_API_KEY
Aliyun (DashScope/百炼): NOUS_GENAI_ALIYUN_API_KEY or ALIYUN_API_KEY
Volcengine (Ark/豆包): NOUS_GENAI_VOLCENGINE_API_KEY or VOLCENGINE_API_KEY

Provider base URL overrides

ALIYUN_OAI_BASE_URL (default: https://dashscope.aliyuncs.com/compatible-mode/v1)
VOLCENGINE_OAI_BASE_URL (default: https://ark.cn-beijing.volces.com/api/v3)
TUZI_BASE_URL (default: https://api.tu-zi.com)
TUZI_OAI_BASE_URL (optional override)
TUZI_GOOGLE_BASE_URL (optional override)
TUZI_ANTHROPIC_BASE_URL (optional override)

Tuzi credentials

NOUS_GENAI_TUZI_WEB_API_KEY or TUZI_WEB_API_KEY
NOUS_GENAI_TUZI_OPENAI_API_KEY or TUZI_OPENAI_API_KEY
NOUS_GENAI_TUZI_GOOGLE_API_KEY or TUZI_GOOGLE_API_KEY
NOUS_GENAI_TUZI_ANTHROPIC_API_KEY or TUZI_ANTHROPIC_API_KEY

MCP server

NOUS_GENAI_MCP_HOST (default: 127.0.0.1)
NOUS_GENAI_MCP_PORT (default: 6001)
NOUS_GENAI_MCP_PUBLIC_BASE_URL
NOUS_GENAI_MCP_BEARER_TOKEN
NOUS_GENAI_MCP_TOKEN_RULES

Model Format

Model string is {provider}:{model_id} (example: openai:gpt-4o-mini).

Use this to pick a model by output modality:

(cd "<SKILL_BASE_DIR>" && uvx --from nous-genai genai model available --all)
# Look for: out=text / out=image / out=audio / out=video / out=embedding

If you have not configured any keys yet, you can still view the SDK curated list:

(cd "<SKILL_BASE_DIR>" && uvx --from nous-genai genai model sdk)

Common Scenarios

Image understanding

(cd "<SKILL_BASE_DIR>" && uvx --from nous-genai genai --model openai:gpt-4o-mini --prompt "Describe this image" --image-path "/path/to/image.png")

Image generation (save to file)

(cd "<SKILL_BASE_DIR>" && uvx --from nous-genai genai --model openai:gpt-image-1 --prompt "A red square, minimal" --output-path "/tmp/out.png")

Speech-to-text (transcription)

(cd "<SKILL_BASE_DIR>" && uvx --from nous-genai genai --model openai:whisper-1 --audio-path "/path/to/audio.wav")

Text-to-speech (save to file)

(cd "<SKILL_BASE_DIR>" && uvx --from nous-genai genai --model openai:tts-1 --prompt "你好" --output-path "/tmp/tts.mp3")

Python SDK

Install:

python -m pip install --upgrade nous-genai

Minimal example:

from nous.genai import Client, GenerateRequest, Message, OutputSpec, Part

client = Client()
resp = client.generate(
    GenerateRequest(
        model="openai:gpt-4o-mini",
        input=[Message(role="user", content=[Part.from_text("Hello")])],
        output=OutputSpec(modalities=["text"]),
    )
)
print(resp.output[0].content[0].text)

Note: Client() loads .env.* from the current working directory; run your script in the directory that contains .env.local, or export env vars in the process environment.

MCP Server

Start server (Streamable HTTP: /mcp, SSE: /sse):

(cd "<SKILL_BASE_DIR>" && uvx --from nous-genai genai-mcp-server)

Recommended: set auth via runtime env vars or .env.local before exposing the server:

# NOUS_GENAI_MCP_BEARER_TOKEN=sk-...

Debug with MCP CLI:

(cd "<SKILL_BASE_DIR>" && uvx --from nous-genai genai-mcp-cli env)
(cd "<SKILL_BASE_DIR>" && uvx --from nous-genai genai-mcp-cli tools)
(cd "<SKILL_BASE_DIR>" && uvx --from nous-genai genai-mcp-cli call list_providers)
(cd "<SKILL_BASE_DIR>" && uvx --from nous-genai genai-mcp-cli call generate --args '{"request":{"model":"openai:gpt-4o-mini","input":"Hello","output":{"modalities":["text"]}}}')

Troubleshooting

Missing/invalid API key (401/403)

Set provider credentials via runtime env vars or in <SKILL_BASE_DIR>/.env.local (see "Supported Environment Variables"), then retry.

File input errors (mime type)

If you see cannot detect ... mime type, verify the path exists and is a valid image/audio/video file.

Timeout / long-running jobs

Increase NOUS_GENAI_TIMEOUT_MS (runtime env var or .env.local) and retry.

URL download blocked / SSRF protection

Binary outputs may be returned as URLs. Private/loopback URLs are rejected by default. Only if you understand the risk, set NOUS_GENAI_ALLOW_PRIVATE_URLS=1.

MCP auth (401 Unauthorized)

Set NOUS_GENAI_MCP_BEARER_TOKEN (or NOUS_GENAI_MCP_TOKEN_RULES) via runtime env var or .env.local, and ensure genai-mcp-cli uses the same token.

GenAI CLI

Description