* Add tuner integration
* bump pipecat version
* chore: update pipecat submodule to match upstream and use tuner-pipecat-sdk 0.2.0
Update pipecat submodule from 0.0.109.dev23 to 13e98d0d9 (the exact commit
upstream dograh-hq/dograh uses after v1.30.1). This installs pipecat-ai as
1.1.0.post277 via setuptools_scm, satisfying tuner-pipecat-sdk 0.2.0's
pipecat-ai>=1.0.0 requirement.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* wire tuner
* feat: refactor integrations into self contained packages
* chore: simplify ensure_public_access_token
* fix: remove NodeSpec and make DTOs the source of truth
* feat: send relevant signal to mcp using to_mcp_dict
* fix: fix tests
* cleanup: remove nango integrations
* feat: add agents.md for integrations
---------
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-authored-by: Abhishek Kumar <abhishek@a6k.me>
Closes#295. The docs at https://docs.dograh.com promise "Search the
Dograh docs for how to configure a TURN server" as an MCP example
prompt, but no search_docs tool exists in the MCP server — agents can
list workspace resources but cannot search the documentation.
This adds a dependency-free, in-process keyword search over the
`docs/` tree shipped into the API image (`COPY ./docs ./docs`):
- New `api/mcp_server/tools/docs_search.py` — async `search_docs(query,
limit=10)` with weighted scoring (path > title > body), a 25-result
hard cap, snippet extraction around the first term hit, and graceful
empty-list degradation when docs aren't on disk. `DOGRAH_DOCS_PATH`
env var overrides location discovery for non-Docker layouts.
- Registered in `api/mcp_server/server.py` alongside the other tools,
keeping the existing list-alphabetical convention.
- `api/tests/test_mcp_docs_search.py` — 18 unit tests covering the
pure helpers (tokenizer, frontmatter stripping, title extraction,
scoring weights, URL building) and end-to-end ranking, limit
clamping, empty-corpus degradation, and input-validation errors.
Mocks `authenticate_mcp_request` to avoid the DB dependency,
mirroring `test_mcp_save_workflow.py`.
Implementation notes:
- The docs corpus is ~100 files / ~140k LoC, so a per-call scan runs
well under 50 ms; avoiding a vector index / embedding backend keeps
the tool zero-dependency and works for fully offline self-hosted
deployments.
- Authentication is required for consistency with the other MCP tools
(and to route through the existing rate-limit middleware), even
though docs are not org-scoped data.
- Title/path matches deliberately outweigh body matches so a page
whose subject IS the query term outranks one that merely mentions
it incidentally.
If there are multiple telephony configurations, the form number should be initialized from the campaigns given telephonic configuration rather than the organization default telephonic configuration.
* feat: add headless widget for deployment
* feat: call callbacks at the right time
* feat: add onCallConnected & onCallDisconnected callback
* feat: add a button with text for floating widget
* feat: add headless widget for deployment
* feat: call callbacks at the right time
* feat: add onCallConnected & onCallDisconnected callback
* feat: add a button with text for floating widget
* docs: web widget
* fix: format issue in pre-pr drift check
* fix: fix CD to rely on pipecat dev dependey
* chore: update message
---------
Co-authored-by: Abhishek Kumar <abhishek@a6k.me>
* chore: bump pipecat version and fix tests
* chore: add github workflow to run tests
* fix: install reqirements.dev.txt in test script
* fix: fix api-test action
* feat: add integration test
* test: add integration tests
* test: add test for function call mute strategy
* feat: add tests and migrations
* feat: workflow versioning among published and draft
* feat: add a new settings page to simplify workflow detail page
* fix: fix tsclient generation
* feat: add circuit breaker to safeguard
* feat: Add Circuit breaker in campaigns to safeguard against telephony failures
* feat: add schedules in campaigns
