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provider-connectors

AgentScope provider, embedding, formatter, and TTS configuration workflows.

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VectorSpaceLab/AREX-Skill
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SKILL.md
تعليمات المصدر · معاينة للقراءة فقط
name
provider-connectors
description
AgentScope provider, embedding, formatter, and TTS configuration workflows.
disable-model-invocation
true
metadata
{"disco-role":"operating"}
license
Apache 2.0
# provider-connectors Use this sub-skill when the task is about provider classes, credentials, provider extras, model names, embeddings, formatters, or TTS. ## Read first - `references/model-overview.md` for chat model families and credential shapes. - `references/embedding-overview.md` for embedding model families and dimension notes. - `references/tts-overview.md` for TTS constructors and streaming defaults. - `references/troubleshooting.md` for missing-extra, credential, and provider-specific failures. - `scripts/provider_matrix.py` for a safe availability/import check. ## Typical triggers - Choose the right extra for OpenAI, Anthropic, DashScope, Gemini, Ollama, Moonshot, DeepSeek, or XAI. - Compare chat, embedding, formatter, or TTS constructor defaults. - Fix a provider import or credential problem. - Check which providers are available in the current environment. ## What belongs here - `agentscope.credential` - `agentscope.model` - `agentscope.embedding` - `agentscope.formatter` - `agentscope.tts` - provider-specific configuration, env vars, and model names ## What does not belong here - Agent/tool/permission basics → `agent-core` - RAG and memory workflows → `rag-memory` - Service deployment and API bootstrap → `service-platform` - Workspace or sandbox backend setup → `workspace-sandboxes` ## Use pattern 1. Identify the provider family first. 2. Read the matching overview reference for the constructor and default values. 3. Check whether the provider needs a dedicated extra or only the base package. 4. Use `scripts/provider_matrix.py` when you need a safe current-environment status check. 5. Escalate to `rag-memory` only if the issue is really an embedding dimension or retrieval workflow. ## Shared diagnostics - Run `../../scripts/check_env.py` if the entire package looks stale. - Read `references/troubleshooting.md` before changing code if the problem is a missing extra, credential class, or model name. ## Cross-links - If the task needs the agent/tool layer, switch to `agent-core`. - If the task needs RAG or memory, switch to `rag-memory`. - If the task needs service bootstrapping or deployment, switch to `service-platform`.
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