Databricks glm

Skill Drvivek34/Skill-Bazaar/coding-development/databricks-glm

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Install

npx -y skills add Drvivek34/Skill-Bazaar --skill databricks-glm

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What its author says it does

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Start/check/change Databricks GLM-5-2 local patch proxy and switch agents to databricks-glm. Use when user says /glm, /glm change, /glm config, "use glm", "start glm", "databricks glm", "glm proxy", "change glm token", "glm base url", "switch to glm", or hits serialization error missing field `model` with GLM.

SKILL.md

5.1 KB, as published. Nobody here has run it

Databricks GLM (`/glm`)

Make coding agents use Databricks-hosted GLM with full tool calling via a local patch proxy.

Why a proxy

Databricks SSE often omits "model" on tool_calls chunks. Strict clients fail with serialization error: missing field model. Proxy on 127.0.0.1:8787 injects model.

Paths

Item	Path
Proxy	`~/.grok/proxies/databricks_glm_proxy.py`
Durable config	`~/.grok/proxies/glm.env` (tokens — never commit)
Ensure	`~/.grok/proxies/ensure-proxy.ps1` / `ensure-proxy.sh`
Change config	`~/.grok/proxies/change-config.ps1` / `change-config.sh`
Grok model id	`databricks-glm`
Auth	`DATABRICKS_TOKEN` + `glm.env`

Arguments

Arg	Action
(none) / `start`	Ensure proxy + remind `/model databricks-glm`
`status`	Show masked token, upstream, model, port, listening?
`stop`	Kill listener on proxy port (confirm first)
`switch`	Remind model switch only
`change` / `config`	Interactive: ask user for token, URLs, model; save + restart proxy
`install`	Re-run package install

`/glm change` (or `/glm config`) — REQUIRED FLOW

When user runs /glm change, /glm config, or asks to change token / base URL / model:

A. Collect settings (ask the user — do not invent secrets)

Ask one field at a time (chat or structured questions). Show current values first via status (mask token).

Access token (DATABRICKS_TOKEN) — Databricks PAT / bearer. User may say "keep" to leave unchanged.
Upstream base URL (DATABRICKS_UPSTREAM) — Databricks OpenAI-compatible root, e.g. https://dbc-XXXX.cloud.databricks.com/ai-gateway/mlflow/v1 (no /chat/completions suffix).
API model id (DATABRICKS_DEFAULT_MODEL) — e.g. system.ai.glm-5-2 (sent as JSON "model").
Local proxy host (default 127.0.0.1).
Local proxy port (default 8787).
Grok local base_url (default http://127.0.0.1:8787 — must point at proxy, not Databricks direct).
Persist to User env? Yes/No (Windows User env / shell profile).

If user only wants one field changed, only ask that field; pass only those flags to the script.

B. Apply (Windows)

powershell -NoProfile -ExecutionPolicy Bypass -File $env:USERPROFILE\.grok\proxies\change-config.ps1 `
  -NonInteractive -RestartProxy -SetUserEnv `
  -Token "<from user or omit to keep>" `
  -Upstream "<url>" `
  -ApiModel "<model id>" `
  -ProxyHost "127.0.0.1" `
  -ProxyPort "8787" `
  -GrokLocalBaseUrl "http://127.0.0.1:8787"

Rules for flags:

Only pass -Token if user provided a new token (never log full token).
If user said keep token: omit -Token entirely.
Always pass fields they changed.
Prefer -SetUserEnv when user wants persistence across terminals.
Always -RestartProxy after URL/token change so proxy reloads glm.env.

Status only:

powershell -NoProfile -File $env:USERPROFILE\.grok\proxies\change-config.ps1 -StatusOnly

Interactive terminal (user runs themselves):

powershell -NoProfile -File $env:USERPROFILE\.grok\proxies\change-config.ps1

C. Apply (Unix)

# Interactive:
bash ~/.grok/proxies/change-config.sh

# Or export vars then:
DATABRICKS_TOKEN='...' DATABRICKS_UPSTREAM='...' DATABRICKS_DEFAULT_MODEL='...' \
  bash ~/.grok/proxies/change-config.sh --non-interactive --restart --set-profile

D. After change

Confirm status (masked).
Tell user: Grok /model databricks-glm; new session if API model id changed.
Never write tokens into git, SKILL.md, AGENTS.md, chat logs if avoidable.

`/glm start` / default

Status / token check (change-config.ps1 -StatusOnly or env).
ensure-proxy.ps1 / ensure-proxy.sh.
/model databricks-glm.

`/glm status`

powershell -NoProfile -File $env:USERPROFILE\.grok\proxies\change-config.ps1 -StatusOnly

`/glm stop`

Confirm, then kill process listening on PROXY_PORT (default 8787).

Failures

Symptom	Fix
`missing field model`	Proxy down or Grok `base_url` is Databricks direct → `/glm change` fix local base_url + start
401	Bad token → `/glm change`
Wrong model	`/glm change` API model id
Connection refused	`/glm start`

Do not

Store tokens in repos.
Point Grok base_url at Databricks direct for tool-heavy turns.
Print full access tokens in replies (mask: first/last 4 chars only).