Claude Code Multi-Provider Setup Guide (GLM 5.2, MiniMax M3 and more)

You are helping me turn one specific YouTube video into real, durable learning.

Source video:
- Title: Claude Code Multi-Provider Setup Guide (GLM 5.2, MiniMax M3 and more)
- URL: https://www.youtube.com/watch?v=gG6qY9fnb7w
- Topic: Creative Automation
- My current learning frame: Set up two Anthropic-compatible providers end to end — keys in your shell profile, two launcher scripts on your PATH with tier overrides — then launch each, verify the active model via /status and billed usage, and delete any leftover provider secrets from settings.json.
- Why this matters: New playlist item from Superbash (BoxminingAI); queued for transcript-backed review, topic mapping, and a practical learning artifact.

Transcript anchors from this exact video:
- 0:14 / Evidence 1: "you're on VPS and you're running Cloud Code, the go-to method here is by going to the dot Cloud settings.json and overriding the base URL and off token with your API key, right? However, if you want to..."
- 1:44 / Evidence 2: "set up. So, we already talked about the ones here on the left, right? The typical problem with the single provider setup. And there's no official documentation from any of these providers that shows you how to switch..."
- 4:08 / Evidence 3: "So, this works. And in fact, your agent should already know to set these up according to the official doc. But you can actually customize how you want for the default Opus model, default Sonnet model, default Haiku..."
- 6:52 / Evidence 4: "you. But these days, these providers already have created a native IDE for their models. For example, Kimi has Kimi code to run the K2.7 code or K2.6. Qwen has Qwen code for Qwen 3.7 Max or Plus."

Your task:
1. Use the transcript anchors above as the primary source packet. If you add outside context, label it clearly as outside context and keep it secondary.
2. Create a source-check table with columns: timestamp, claim, what the demo proves, confidence, and what still needs verification.
3. Extract the actual teachable claims from the video. Do not invent claims that are not supported by the title, lesson frame, or transcript anchors.
4. Build a reusable learning artifact: A creative workflow board with critique criteria and review checkpoints.
5. Include:
   - a plain-English definition of the core idea
   - a diagram or structured model using this sequence: Brief -> Source -> Generation -> Selection -> Edit -> Taste Review
   - 3 concrete examples that apply the video idea to real agentic work
   - 2 failure modes the video helps prevent
   - a checklist I can use the next time I run Codex or Claude
   - one practical exercise with a clear done signal
6. Add a "learning transfer" section: what changes in my workflow tomorrow if I actually learned this?
7. Add a "source check" section that cites which transcript anchor supports each major takeaway.

Quality bar:
- Make this specific to "Claude Code Multi-Provider Setup Guide (GLM 5.2, MiniMax M3 and more)", not a generic Creative Automation essay.
- Prefer operational examples, failure modes, and reusable artifacts over broad definitions.
- Call out uncertainty instead of smoothing over weak evidence.
- If evidence is weak, say what transcript segment or timestamp needs review instead of guessing.
- Finish with a concise artifact I could paste into my learning app.