Skip to content

chore: update model catalog from bot issues#1014

Open
github-actions[bot] wants to merge 1 commit into
mainfrom
chore/autofix-bot-issues-2026-07-23
Open

chore: update model catalog from bot issues#1014
github-actions[bot] wants to merge 1 commit into
mainfrom
chore/autofix-bot-issues-2026-07-23

Conversation

@github-actions

@github-actions github-actions Bot commented Jul 23, 2026

Copy link
Copy Markdown
Contributor

Automated daily batch of model catalog updates from bot issues.

Included issues

Summary

Issue Provider Primary model Changed models Added models Updated models Verification sources
#1011 databricks databricks-gemini-3-6-flash databricks-gemini-3-6-flash
databricks-glm-5-2
databricks-inkling
databricks-gemini-3-6-flash
databricks-glm-5-2
databricks-inkling
None 1
2
#1012 bedrock google.gemma-3-12b-it google.gemma-3-12b-it
google.gemma-3-4b-it
nvidia.nemotron-nano-9b-v2
google.gemma-3-12b-it
google.gemma-3-4b-it
nvidia.nemotron-nano-9b-v2
None 1
2
3
4
#1013 bedrock openai.gpt-5.6-sol openai.gpt-5.6-sol
openai.gpt-5.6-terra
openai.gpt-5.6-luna
openai.gpt-5.6-sol
openai.gpt-5.6-terra
openai.gpt-5.6-luna
None 1
2
3
4
5

Verified metadata

#1011: [BOT ISSUE] Databricks: add missing databricks-gemini-3-6-flash, databricks-glm-5-2, and databricks-inkling

Model Display name Parent Providers Format Flavor Token limits Pricing Lifecycle
databricks-gemini-3-6-flash Gemini 3.6 Flash databricks openai chat input=1048576, output=65536 n/a multimodal=true; reasoning=true
databricks-glm-5-2 GLM 5.2 databricks openai chat input=262144, output=128000 n/a reasoning=true
databricks-inkling Inkling databricks openai chat input=1048576, output=not provided n/a multimodal=true; reasoning=true

Verification notes

No LLM verification step ran; model metadata was already complete in the issue.

sync_models vs proposed update

sync_models cross-check found differences. Official provider verification was used for the applied values, and sync_models discrepancies are listed below for review.

Model Field Proposed update sync_models sync_models source models
databricks-gemini-3-6-flash catalog entry present missing None
databricks-glm-5-2 catalog entry present missing None
databricks-inkling catalog entry present missing None

#1012: [BOT ISSUE] Bedrock: add missing google.gemma-3-12b-it, google.gemma-3-4b-it, and nvidia.nemotron-nano-9b-v2

Model Display name Parent Providers Format Flavor Token limits Pricing Lifecycle
google.gemma-3-12b-it Gemma 3 12B IT bedrock openai chat input=128000, output=8000 in/out=0.09/0.29 per 1M multimodal=true
google.gemma-3-4b-it Gemma 3 4B IT bedrock openai chat input=128000, output=8000 in/out=0.04/0.08 per 1M multimodal=true
nvidia.nemotron-nano-9b-v2 NVIDIA Nemotron Nano 9B v2 bedrock converse chat input=128000, output=8000 in/out=0.06/0.23 per 1M active

Verification notes

No LLM verification step ran; model metadata was already complete in the issue.

sync_models vs proposed update

sync_models cross-check found differences. Official provider verification was used for the applied values, and sync_models discrepancies are listed below for review.

Model Field Proposed update sync_models sync_models source models
google.gemma-3-12b-it max_output_tokens 8000 8192 google.gemma-3-12b-it
google.gemma-3-4b-it max_output_tokens 8000 8192 google.gemma-3-4b-it
nvidia.nemotron-nano-9b-v2 max_output_tokens 8000 8192 nvidia.nemotron-nano-9b-v2

#1013: [BOT ISSUE] Add missing Bedrock entries for OpenAI GPT-5.6 (Sol, Terra, Luna)

Model Display name Parent Providers Format Flavor Token limits Pricing Lifecycle
openai.gpt-5.6-sol OpenAI GPT-5.6 Sol (Bedrock) bedrock openai chat input=272000, output=not provided in/out=5.5/33 per 1M; cache read=0.55 per 1M multimodal=true; reasoning=true
openai.gpt-5.6-terra OpenAI GPT-5.6 Terra (Bedrock) bedrock openai chat input=272000, output=not provided in/out=2.75/16.5 per 1M; cache read=0.28 per 1M multimodal=true; reasoning=true
openai.gpt-5.6-luna OpenAI GPT-5.6 Luna (Bedrock) bedrock openai chat input=272000, output=not provided in/out=1.1/6.6 per 1M; cache read=0.11 per 1M multimodal=true; reasoning=true

Verification notes

Verification

sync_models vs proposed update

sync_models cross-check found differences. Official provider verification was used for the applied values, and sync_models discrepancies are listed below for review.

Model Field Proposed update sync_models sync_models source models
openai.gpt-5.6-sol catalog entry present missing None
openai.gpt-5.6-terra catalog entry present missing None
openai.gpt-5.6-luna catalog entry present missing None

@vercel

vercel Bot commented Jul 23, 2026

Copy link
Copy Markdown

The latest updates on your projects. Learn more about Vercel for GitHub.

Project Deployment Actions Updated (UTC)
ai-proxy Ready Ready Preview, Comment Jul 23, 2026 10:53am

Request Review

@github-actions

Copy link
Copy Markdown
Contributor Author

Codex (@codex) review

@chatgpt-codex-connector chatgpt-codex-connector Bot left a comment

Copy link
Copy Markdown

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

💡 Codex Review

Here are some automated review suggestions for this pull request.

Reviewed commit: 9d14d43228

ℹ️ About Codex in GitHub

Codex has been enabled to automatically review pull requests in this repo. Reviews are triggered when you

  • Open a pull request for review
  • Mark a draft as ready
  • Comment "Codex (@codex) review".

If Codex has suggestions, it will comment; otherwise it will react with 👍.

When you sign up for Codex through ChatGPT, Codex can also answer questions or update the PR, like "Codex (@codex) address that feedback".

]
},
"google.gemma-3-12b-it": {
"format": "openai",

Copy link
Copy Markdown

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

P1 Badge Don't catalog Bedrock-only models as OpenAI format

These new Bedrock-only entries use format: "openai" (the same pattern is added for google.gemma-3-4b-it and the openai.gpt-5.6-* Bedrock entries below), but this proxy never sends OpenAI-format requests with a Bedrock secret: packages/proxy/src/proxy.ts:1451-1455 skips secret.type === "bedrock" && modelSpec.format === "openai", and fetchOpenAI also throws for Bedrock. With only a Bedrock credential, requests for these newly advertised models fall through as No API keys found, so they should not be cataloged this way until the Bedrock OpenAI/Responses path is wired.

Useful? React with 👍 / 👎.

"multimodal": true,
"input_cost_per_mil_tokens": 5.5,
"output_cost_per_mil_tokens": 33,
"input_cache_read_cost_per_mil_tokens": 0.55,

Copy link
Copy Markdown

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

P2 Badge Add GPT-5.6 Bedrock cache-write prices

These GPT-5.6 Bedrock entries include cache-read pricing but omit input_cache_write_cost_per_mil_tokens; the AWS Bedrock pricing table lists 30-minute cache-write prices for Sol/Terra/Luna ($6.88/$3.44/$1.38 per 1M: https://aws.amazon.com/bedrock/pricing/). Any cost display or estimation that uses this catalog will undercharge cached-write tokens for these models.

Useful? React with 👍 / 👎.

"flavor": "chat",
"displayName": "GLM 5.2",
"reasoning": true,
"max_input_tokens": 262144,

Copy link
Copy Markdown

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

P2 Badge Correct GLM 5.2 context window

The Databricks supported-models page for endpoint databricks-glm-5-2 says GLM-5.2 supports a 1 million-token context length (https://docs.databricks.com/aws/en/machine-learning/foundation-model-apis/supported-models), but this catalog caps max_input_tokens at 262,144. Users and tooling that rely on the catalog will treat valid long-context GLM 5.2 prompts as over-limit or display the wrong capability.

Useful? React with 👍 / 👎.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Projects

None yet

1 participant