* feat: add model config v2
* chore: centralize user org selection
* chore: move preferences to platform settings
* fix: decouple org preference and ai model preferences
* fix: stamp API key into model override at save time to survive global provider change
When a workflow overrides the TTS/LLM/STT provider to match the current
global config, the override dict only stores model/voice fields, not the
API key. If the global config later switches to a different provider, the
override can no longer inherit the API key and calls fail.
Fix: enrich_overrides_with_api_keys() copies the global provider's API
key (and other secret fields) into the override dict at workflow-save
time, making the override self-contained regardless of future global
config changes.
* feat: add test coverage and masking logic
---------
Co-authored-by: Abhishek Kumar <abhishek@a6k.me>
* 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>
