fix: register DeepSeek V4 Flash for Bonk

[irvinebroque]

Summary

Registers DeepSeek V4 Flash in the OpenCode configuration so Bonk can resolve the model already selected by its workflow.

PR #33193, merged in commit 660c3cfa95, switched Bonk from Kimi K2.6 to DeepSeek V4 Flash. Although DeepSeek V4 Flash is available through Workers AI and AI Gateway, it was not registered in OpenCode 1.17.7's Cloudflare AI Gateway model catalog or the repository's opencode.jsonc.

As a result, OpenCode could not resolve the configured model when Bonk sent its first prompt. The run failed before inference and surfaced the model lookup failure as share subscriber failed followed by exit code 1.

This change explicitly defines the model's capabilities and limits in opencode.jsonc, allowing Bonk to continue using DeepSeek V4 Flash.

• Failed run: https://github.com/cloudflare/cloudflare-docs/actions/runs/33918336245/job/101170688280
• Workers AI release: https://developers.cloudflare.com/changelog/post/2026-08-14-deepseek-v4-workers-ai/

[github-actions]

This pull request requires reviews from CODEOWNERS as it changes files that match the following patterns:

Pattern	Owners
*	@cloudflare/product-owners

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[irvinebroque]

/bonk review

[cloudflare-docs-bot]

Review

💡 1 suggestion found in commit 9fa7d75.

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Fix the following review findings in PR #33255 (https://github.com/cloudflare/cloudflare-docs/pull/33255).

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---

## Code Review

### Suggestions (1)

#### CR-5aff35ec8288 · Output limit equals full context window
- **File:** `opencode.jsonc` line 43
- **Issue:** The added GLM-4.7-Flash entry sets `limit.output: 131072`, the same as `limit.context`. The other models in this file cap output well below context (DeepSeek: 64000 with 1048576 context; Kimi: 64000 with 256000 context), and an output limit equal to the whole context is never reachable once any input tokens are present. This looks like the context value was copied into `output` by mistake.
- **Fix:** Verify GLM-4.7-Flash's actual max output on Workers AI and set `limit.output` to a realistic value (e.g. 64000, matching the other entries); an overestimated output cap can cause OpenCode to request `max_tokens` values the API rejects or to misestimate available output tokens.

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Suggestions (1)

File

Issue

opencode.jsonc line 43

Output limit equals full context window — The added GLM-4.7-Flash entry sets limit.output: 131072, the same as limit.context. The other models in this file cap output well below context (DeepSeek: 64000 with 1048576 context; Kimi: 64000 with 256000 context), and an output limit equal to the whole context is never reachable once any input tokens are present. This looks like the context value was copied into output by mistake. Fix: Verify GLM-4.7-Flash's actual max output on Workers AI and set limit.output to a realistic value (e.g. 64000, matching the other entries); an overestimated output cap can cause OpenCode to request max_tokens values the API rejects or to misestimate available output tokens.

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[github-actions]

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[mvvmm]

Do we also need to add glm 4.7 flash? https://github.com/cloudflare/cloudflare-docs/blob/production/.github/workflows/bonk.yml#L78

[ask-bonk]

Yes — I've added it. Registered workers-ai/@cf/zai-org/glm-4.7-flash in opencode.jsonc:29 with its real parameters (131072 context/output, tool calling, reasoning_content interleaving), matching the ID used as the small_model in bonk.yml:78.

To be precise on "need": OpenCode resolves the small_model leniently — if it's not in the model catalog, getSmallModel swallows the lookup error and title generation falls back to the primary model (prompt.ts:204). So the run wouldn't fail without it. But since bonk.yml explicitly selects GLM-4.7 Flash as the cheap small model, registering it ensures that config is actually honored rather than silently falling back to DeepSeek V4 Flash.

github run

[mvvmm]

Yes — I've added it. Registered workers-ai/@cf/zai-org/glm-4.7-flash in opencode.jsonc:29 with its real parameters (131072 context/output, tool calling, reasoning_content interleaving), matching the ID used as the small_model in bonk.yml:78.

To be precise on "need": OpenCode resolves the small_model leniently — if it's not in the model catalog, getSmallModel swallows the lookup error and title generation falls back to the primary model (prompt.ts:204). So the run wouldn't fail without it. But since bonk.yml explicitly selects GLM-4.7 Flash as the cheap small model, registering it ensures that config is actually honored rather than silently falling back to DeepSeek V4 Flash.

github run

wth I didn't know bonk could respond to and act on comments like this?

Oh is it because bonk in the URL lol