feat(opencode): Add Databricks provider support #7984
+937
−0
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Contributor
|
The following comment was made by an LLM, it may be inaccurate: No duplicate PRs found |
Add Databricks Foundation Model APIs as a new provider supporting OpenAI-compatible endpoints via /serving-endpoints. Authentication methods (in priority order): - Personal Access Token (DATABRICKS_TOKEN or stored auth) - OAuth M2M (DATABRICKS_CLIENT_ID + DATABRICKS_CLIENT_SECRET) - Azure AD Service Principal (ARM_CLIENT_ID/SECRET/TENANT_ID) - Azure CLI (for Azure Databricks workspaces) Includes default model definitions for Claude, Llama, GPT-5, and Gemini models available through Databricks pay-per-token endpoints. Fixes model transformation to use Provider.Model format with proper capabilities and API configuration.
Add optional host field to API authentication schema to support providers like Databricks that require both workspace URL and API key. Update ProviderAuth.api to accept optional host parameter and modify Databricks provider loader to prioritize stored auth host over config or environment variables for workspace URL resolution.
Implement DatabricksApiMethod component that prompts users for both workspace URL and Personal Access Token in sequence, eliminating the need for environment variables or custom configuration files. Enhance 'opencode auth login' to prompt for Databricks workspace URL before API key, storing both values for complete authentication.
Update generated TypeScript SDK types to reflect optional host field in API authentication schema.
- Make description prop a function in DatabricksApiMethod - Add escape key support to cancel dialog - Prevent default behavior on return key press
dgokeeffe
force-pushed
the
feat/databricks-provider
branch
from
0c9f889 to
7ae4802
Compare
|
@dgokeeffe I am really looking forward to this PR landing, especially after seeing your post on LinkedIn regarding running opencode on a cluster via I'm interested in running this locally, although without a Databricks PAT if possible. Can you provide a comment regarding auth via |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
2 participants
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Summary
Adds Databricks Foundation Model APIs as a new provider, enabling opencode users to connect to their Databricks workspace's pay-per-token LLM endpoints.
Fixes #7983
Changes
provider.ts): Full Databricks provider with OpenAI-compatible endpoint support at/serving-endpointsauth.ts): Added Databricks to auth login flow with clear authentication instructionspreload.ts): Clear Databricks env vars between testsdatabricks.test.ts): 12 tests covering config parsing, auth precedence, URL handling, and model capabilitiesAuthentication Methods
Supports three auth methods (in priority order):
DATABRICKS_TOKENoropencode auth loginDATABRICKS_CLIENT_ID+DATABRICKS_CLIENT_SECRETARM_CLIENT_ID+ARM_CLIENT_SECRET+ARM_TENANT_IDDefault Models
Includes default definitions for common Foundation Model API endpoints (Claude, Llama, GPT-5, Gemini). Users can add custom model endpoints via
opencode.json.Verification
bun test packages/opencode/test/provider/databricks.test.ts