* fix(api): validate pagination bounds on run-list endpoints (#553)
GET /workflow/{id}/runs and GET /campaign/{id}/runs declared bare
`page: int = 1` / `limit: int = 50` params, then computed
`total_pages = (total_count + limit - 1) // limit`. A `?limit=0` raised an
unhandled ZeroDivisionError (HTTP 500), and negative limit/page produced a
negative offset and nonsensical pagination.
Add `Query(ge=1, le=100)` / `Query(1, ge=1)` bounds to both endpoints,
matching the sibling list endpoints (/usage/runs and the superuser runs
endpoint) that already validate these. Out-of-range values now return 422.
Adds a regression test covering limit=0/-5/101 and page=0 on both endpoints.
Fixes#553
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* chore(docs): regenerate openapi.json for run-list pagination bounds (#553)
The added Query(ge/le) bounds on the workflow-run and campaign-run list
endpoints changed the OpenAPI schema; regenerate the committed spec via
`python -m scripts.dump_docs_openapi` so the drift-check passes. Only the
limit/page parameter schemas for those two endpoints change.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
Co-authored-by: Abhishek Kumar <abhishek@a6k.me>
* feat: add tool test panel for HTTP API tools
Lets developers run a saved HTTP API tool against its real endpoint
from the tool detail page, without needing a live call. Reuses the
production execute_http_tool path so test behavior matches call-time
behavior.
- New POST /tools/{tool_uuid}/test route
- Test panel with per-parameter typed inputs and auto-detected
context variable inputs (from preset parameter templates)
- Validate parameter name uniqueness on save, matching the existing
transferParameters check
- Fix stale FunctionCallsFromLLMInfoFrame import causing test
collection failures against pipecat-ai 1.5.0
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* fix: revert local-venv pipecat drift fix, apply ruff import formatting
test_custom_tools.py and test_unregistered_function_call.py were edited
locally to drop FunctionCallsFromLLMInfoFrame after hitting an
ImportError — that error was from a stale local pipecat-ai package, not
a real drift. CI's pipecat build emits this frame and the test asserted
on it, so removing it broke test_llm_calls_custom_tool_handler and its
unregistered-call counterpart. Reverted both files to match main.
Also applied ruff's import-sort/format fix to test_mcp_tool_route.py to
clear the drift-check job (split the aliased import into its own
`from ... import (...)` block, wrapped a long monkeypatch.setattr call).
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* fix: avoid pytest collecting test_tool import as a test, sync OpenAPI spec
pytest's default discovery matches any top-level test_* name in a test
module, including imported functions — importing the route handler as
`test_tool as test_tool_route` still matched the pattern, so pytest
tried to run it as a test and failed injecting fixtures for tool_uuid/
request/user. Renamed the alias to call_test_tool_route.
Also regenerated docs/api-reference/openapi.json for the new
POST /tools/{tool_uuid}/test route and its two schemas (couldn't run
the dump script locally — pipecat-ai version mismatch documented
separately — so hand-built the diff to exactly match FastAPI's
get_openapi() output format, verified against neighboring routes).
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* fix: address cubic review findings on test panel
- Resolve dotted context-variable keys into nested objects before
posting the test request. render_template's get_nested_value walks
nested dicts, so a flat key like "runtime_configuration.realtime_model"
never matched — templates referencing nested context always resolved
to empty.
- Restrict isHttpApiTool to an explicit category equality check instead
of inferring it from exclusions. native/integration tools are
currently disabled in the create-tool UI so this wasn't reachable
today, but the exclusion list silently goes stale as new categories
are added.
- Stop showing a green success badge for non-2xx responses.
execute_http_tool returns status: "success" for any HTTP exchange
that completes, regardless of status code — only transport-level
errors (timeout, connection failure) get status: "error". The test
panel now checks status_code is in the 2xx range before treating the
call as a success.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* fix: address second round of cubic/greptile findings
- Guard setNestedValue against prototype-pollution keys (__proto__,
constructor, prototype) in the dotted context-var path before
traversing.
- Normalize status to "error" in the test route when the upstream
status_code is >= 400. execute_http_tool only distinguishes
transport-level failures (timeout, connection error) from
"success" — a completed 4xx/5xx exchange still came back as
"success" from the executor.
- Seed testArgValues defaults for number/boolean parameters via a
useEffect keyed on the parameters array, so a required number or
boolean field isn't silently omitted from the test request if the
user never touches its input.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* fix: only seed test-arg defaults for required number/boolean params
Seeding optional number/boolean parameters silently changed the test
request — an optional boolean flag the tester never touched was sent
as true, which can flip upstream behavior unintentionally. Restrict
seeding to required parameters.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* fix: match whitespace and fallback-filter syntax in context var detection
extractContextVars required an exact {{initial_context.foo}} with no
whitespace and no filter suffix, but the backend's TEMPLATE_VAR_PATTERN
(and render_template) accepts {{ initial_context.foo }} and
{{initial_context.foo | fallback:value}}. A preset parameter saved with
either of those forms resolved fine in production but showed no input
in the test panel, so testing always sent it empty context.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* feat(tool-test): add hint and request_* fields to ToolTestResponse
Extends ToolTestResponse with hint, request_method, request_url,
request_body, and request_params so the frontend can surface what was
actually sent and a human-readable hint about why a test call failed.
* feat(tool-test): add status-code hints and request_method/url/body/params to test_tool()
* style: ruff-format test_mcp_tool_route.py
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* feat(tool-test): wire hint banner and request block into result panel
Backend has returned hint/request_method/request_url/request_body/
request_params since d45ea851/60aaf31d but the frontend never
displayed them. Extends ToolTestResult with the new fields and renders
an amber hint banner (for 400/401/403/404/405/408/409/415/422/429/5xx)
plus a Request block above the response showing exactly what was sent.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* fix(tool-test): include resolved preset params in request_body/params
Found via live GET/POST testing: the Request preview showed only the
model-provided arguments, not what execute_http_tool actually sends.
execute_http_tool merges resolved_arguments = {**arguments,
**preset_arguments} before building the outbound body/params — preset
params (e.g. {{initial_context.metadata.channel}}) are invisible to
the model but still go out on the wire. The preview now mirrors that
merge via the same _resolve_preset_parameters helper, so a dev sees
exactly what was sent, not just what the model provided.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* feat(tool-test): add generateSampleValue helper for sample-fill button
* feat(tool-test): add Fill sample values button for arguments and context vars
Moved generateSampleValue out of page.tsx into a sibling helpers module:
Next.js's typed-route checker rejects extra named exports on a page.tsx
file (tsc error TS2344 on .next/types), so the helper and its test import
now live in testPanelHelpers.ts instead.
* feat(tool-test): add JSON edit modal state and handlers
* feat(tool-test): collapsed preview + edit modal for object/array test parameters
* fix(tool-test): validate JSON on modal open, not just on edit
Opening the JSON edit modal on an untouched object/array param (no value
yet in testArgValues) loaded an empty draft with jsonEditError hardcoded
to null, so Save was enabled despite invalid JSON and silently no-op'd on
click. Now runs the same JSON.parse check used by the live textarea
validation when the modal opens.
* chore: regenerate openapi.json for ToolTestResponse hint/request_* fields
drift-check on PR #547 was failing because the earlier hint/request_method/
request_url/request_body/request_params fields added to ToolTestResponse
were never reflected in the dumped spec. Regenerated via
scripts.dump_docs_openapi.
* fix(tool-test): serialize object/array args for GET/DELETE query params, add unsaved-changes banner
httpx raises a TypeError when a query param value is a dict/list, which
was silently caught and surfaced as a generic tool-execution error —
this is what actually broke test requests, not just the "[object
Object]" display. JSON-stringify object/array arguments before they
become query params, in both the live execute_http_tool() path and the
test route's request_params display shaping.
Also adds an unsaved-changes warning banner above Test Tool, shown
when the live form state diverges from the last-saved HTTP API config,
since Test Tool always runs the saved config.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
* fix(tool-test): keep empty request body in preview; normalize headers in snapshot
- POST/PUT/PATCH with no arguments now shows `{}` in the request body
preview instead of null — matches what execute_http_tool actually sends
over the wire (json={})
- buildHttpToolTestSnapshot normalizes headers from KeyValueItem[] to a
deduped key→value map before serializing, matching the shape saved to
the backend; duplicate header keys no longer cause a false unsaved-
changes warning
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* test(tool-test): update assertion for empty POST body preview
test_tool_test_no_arguments_leaves_body_and_params_none expected
request_body=None for a POST with no arguments. The fix to preserve {}
in the preview makes request_body={} the correct assertion.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* feat(tools): refine HTTP tool testing
---------
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-authored-by: Abhishek Kumar <abhishek@a6k.me>
* feat: add ElevenLabs realtime STT provider support (#512)
Wire ElevenLabs scribe_v2_realtime into the STT registry and pipeline factory so BYOK transcribers can use the same provider already supported for TTS.
Co-authored-by: Cursor <cursoragent@cursor.com>
* fix: address ElevenLabs STT review feedback for language, commits, and host
Pass custom language codes through instead of defaulting to English, use ElevenLabs VAD commit strategy because Dograh VAD runs downstream of STT, and document hostname-only realtime base_url handling.
Co-authored-by: Cursor <cursoragent@cursor.com>
* fix: preserve ElevenLabs STT endpoint port in realtime host parsing
Use urlparse netloc instead of hostname so validated BYOK/proxy base URLs keep non-default ports when Pipecat builds the websocket endpoint.
Co-authored-by: Cursor <cursoragent@cursor.com>
* fix: preserve ElevenLabs STT proxy path prefix and remove duplicate tests
Include URL path segments in realtime host normalization for BYOK proxies and delete shadowed pytest definitions.
Co-authored-by: Cursor <cursoragent@cursor.com>
* fix: allow custom ElevenLabs model input
* fix: normalize ElevenLabs websocket URLs
---------
Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: Abhishek Kumar <abhishek@a6k.me>
* feat(tts): add xAI as a Voice (TTS) provider
pipecat already ships an xAI TTS service (XAITTSService, WebSocket
streaming) but dograh never wired it into the service configuration, so
xAI could not be selected as a Voice provider in the cascading pipeline.
Wire it through:
- registry: ServiceProviders.XAI + XAITTSConfiguration (voices
eve/ara/leo/rex/sal, language, computed model) registered in TTSConfig
- service_factory: build XAITTSService in create_tts_service
- check_validity: api-key validation hook
- tests for the factory + docs
The Voice provider dropdown is schema-driven, so xAI appears with no UI
changes.
* fix(tts): validate xAI API key and drop misleading auto-language hint
Addresses review feedback on the xAI Voice provider:
- check_validity: replace the no-op xAI key check with real validation
against xAI's OpenAI-compatible API (models.list on https://api.x.ai/v1),
so a bad BYOK key is caught at configuration time instead of at call time.
- registry: remove the "auto" language hint from the field description.
pipecat's Language enum has no "auto" member, so the factory fell back to
English silently; the description no longer advertises detection we don't do.
- tests: cover xAI key validation (registered, accepts valid, rejects bad).
* fix(tts): validate xAI key against the TTS voices endpoint
xAI supports endpoint-scoped API keys, so a key scoped to Text-to-Speech
may lack the /v1/models ACL and would be wrongly rejected by the previous
models.list() check. Validate against GET /v1/tts/voices instead — the
scope the key actually needs for TTS — treating 401/403 as an invalid key
and connection errors as a clean, actionable message.
* fix: harden xAI TTS integration
---------
Co-authored-by: Sabiha Khan <sabihak89@gmail.com>
Co-authored-by: Sabiha Khan <87858386+chewwbaka@users.noreply.github.com>
* chore: drain active calls before rolling updates
* Use provisional VAD interruption strategy
* feat: wire provisional VAD configuration
* chore: refactor user turn strategies
* chore: bump pipecat
* feat(twilio): add Answering Machine Detection (AMD) support via telephony config
Closes#339
* chore: regenerate OpenAPI spec to fix drift-check
The openapi.json snapshot had drifted from the FastAPI app definition
because main gained new organization endpoints (billing, credits,
context) after this branch was created. Regenerate it with
'python -m scripts.dump_docs_openapi' to bring it back in sync.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* feat: add provider-level AMD hooks
* fix: handle db error while persisting amd result
---------
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-authored-by: Sabiha Khan <sabihak89@gmail.com>
Co-authored-by: Sabiha Khan <87858386+chewwbaka@users.noreply.github.com>
* fix: disable duplicate trigger nodes in workflow builder
AddNodePanel: disable trigger buttons and show tooltip when a trigger
already exists on the canvas, using bySpecName to identify trigger-
category specs from the live node list.
useWorkflowState: preflight in saveWorkflow rejects saves with multiple
trigger nodes via a sonner toast before the network request is made.
text_chat_session_service: include the original exception message in
TextChatSessionExecutionError so the HTTP 500 detail surfaces the root
cause without DB inspection.
Closes#378
* style: format test_text_chat_session_service.py with ruff
* chore: retrigger CI checks
* fix(workflow): enforce node instance constraints
---------
Co-authored-by: Abhishek Kumar <abhishek@a6k.me>
* fix: add language field to CartesiaTTSConfiguration and pass to TTS service
Closes#432
* chore: regenerate OpenAPI spec to fix drift-check
The openapi.json snapshot had drifted from the FastAPI app definition
because main gained new organization endpoints (billing, credits,
context) after this branch was created. Regenerate it with
'python -m scripts.dump_docs_openapi' to bring it back in sync.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* chore: clarify Cartesia language schema
---------
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-authored-by: Abhishek Kumar <abhishek@a6k.me>
* docs: design spec for lead-gen surfaces (Credits & Billing, Hire-an-Expert, Top-up, Enterprise)
Add brainstorming spec for: sidebar OBSERVE→MANAGE rename + Credits & Billing
link + Hire-an-Expert footer button; new /billing page with extracted Dograh
Model Credits card + CTAs; Top-up / Hire-an-Expert / Enterprise intake modals
with inline math captcha; and a workflow-builder Hire-an-Expert nudge. Frontend
only; submissions fire PostHog events via a submitLead() seam for a future
MongoDB endpoint. Also gitignore .superpowers/ brainstorm mockups.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* docs: implementation plan for user-onboarding lead-gen surfaces
14 bite-sized tasks: PostHog events, shared helpers (field options,
work-email blocklist, submitLead seam, math captcha), three intake modals
(enterprise/hire/top-up), LeadFormsProvider context, AppLayout mount, sidebar
MANAGE rename + Credits & Billing link + footer Hire button, extracted
DograhCreditsCard, /billing page, credits removal from Agent Runs, builder
nudge, and a full verification/dogfood pass.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* feat(lead-gen): register PostHog events for lead-gen surfaces
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* feat(lead-gen): shared field options, work-email validation, and submit seam
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* feat(lead-gen): inline math captcha field
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* feat(lead-gen): enterprise intake modal
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* feat(lead-gen): hire-an-expert modal with enterprise link
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* feat(lead-gen): top-up modal with >20k volume-pricing gate
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* feat(lead-gen): shared lead-forms context provider
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* feat(lead-gen): mount LeadFormsProvider in app layout
Wrap the sidebar branch of AppLayout with LeadFormsProvider so the shared
lead modals are available to the sidebar, billing card, and builder nudge.
Includes eslint import-order auto-fixes in TopUpModal and LeadFormsContext.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* feat(lead-gen): rename OBSERVE to MANAGE, add Credits & Billing link and Hire-an-Expert footer button
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* feat(lead-gen): extract DograhCreditsCard with top-up + hire CTAs
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* feat(lead-gen): add Credits & Billing page
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* refactor(lead-gen): move Dograh Model Credits card out of Agent Runs to /billing
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* feat(lead-gen): delayed Hire-an-Expert nudge on the workflow builder
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* ci(ui): add lint:lead-flow guard script
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* feat(ui): restructure lead forms, self-serve Buy Credits, dialog blur
Revised lead-capture surfaces and credits bar:
- Dialog overlay gains backdrop blur (bg-black/60 backdrop-blur-sm).
- Shared primitives: LeadModalShell (icon/eyebrow header, scrollable body,
sticky footer, trust-line slot), PhoneField (react-international-phone,
dark, E.164 out), FormTrustLine ("Average response: under 10 minutes...").
- HireExpertModal: Name, Company, Job title, agent goal, Phone (required),
monthly volume. EnterpriseModal: + work email (required logged-out),
conditional deployment (yes/no/maybe, source-gated), agent goal.
OnboardingModal: drop useCase. Phone mandatory except onboarding.
- Volume buckets match the backend qualifier (0-5k/5k-100k/100k+/not-sure).
- Delete TopUpModal; DograhCreditsCard now self-serve Buy Credits (amount
chips $5/$10/$25/$50/$100 + custom min $5 → startTopUp seam) + Hire an
Expert + dashed custom-pricing link opening Enterprise (billing_custom_pricing).
- PostHog events: drop topup_*, add buy_credits_clicked,
buy_credits_amount_selected, custom_pricing_clicked. LeadFormsContext
drops topup; LeadKind/LeadSource updated.
- Introduce a single --cta warm accent token (CTAs + focus rings only).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* feat(ui): split-screen auth + enterprise CTA + dark theme default
- AuthShell: dark two-column auth layout (brand/value panel with CSS-only
waveform motif + proof points + Bland-style enterprise CTA block on the
left, zinc-900 form card on the right; single-column on mobile).
- AuthEnterpriseCTA: "Talk to our team" → dograh.com/contact?intent=enterprise.
- stack-theme: dark StackTheme token overrides synced to globals.css.
- page.tsx: wrap StackHandler (non-fullPage) in AuthShell + StackTheme;
local-auth fallback preserved inside the shell. BackButton slimmed for the card.
- Dark locked as default: <html className="dark">, next-themes ThemeProvider
(defaultTheme="dark", enableSystem=false); inline no-FOUC script defaults dark.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* ui rezig, onboarding, billing, hire us & on prem cues
* ui changes
* chore: update comment
* chore: untrack docs/superpowers and gitignore it
* feat: refactor user configuration table
* feat(ui): 'check your email' confirmation on lead forms
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* added email and country in form submissions
* chore: update leads api
* fix: wrap dograh model config in card
---------
Co-authored-by: Pritesh <pritesh@dograh.com>
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* feat: add Smallest AI TTS and STT provider integration
Integrates Smallest AI's Waves (TTS) and Pulse (STT) APIs as selectable
providers in the Dograh platform. Dograh's pipecat fork already contains
the pipecat-level service implementations; this wires them into the API
configuration registry and service factory.
- Added `SMALLEST = "smallest"` to `ServiceProviders` enum
- Registered `SmallestAITTSConfiguration` (lightning-v3.1/v2, voices,
language, speed) and `SmallestAISTTConfiguration` (pulse model, 30+
languages) Pydantic config classes with the TTS/STT registries
- Added factory branches in `create_tts_service` and `create_stt_service`
routing to `SmallestTTSService` and `SmallestSTTService` from pipecat
* fix: update Smallest AI models to v4 naming convention
- TTS: rename lightning-v3.1 → lightning_v3.1, add lightning_v3.1_pro, drop deprecated lightning-v2
- STT: keep pulse only (pulse-pro is not a streaming model)
* fix: change default TTS voice from emily to sophia for lightning_v3.1
emily is not a verified lightning_v3.1 voice; sophia is the pipecat
SmallestTTSService default and confirmed to work with the standard pool.
* fix: replace 9 invalid lightning_v3.1 voice IDs with verified ones
jasmine, james, michael, aria, lara, asel, sarah, rishi, deepika do not
exist in the lightning_v3.1 voice catalog. Replaced with avery, liam,
lucas, olivia, freya, devansh, maya, dhruv, maithili — all verified
against the API.
* fix: smallest ai config validation and tts model compatibility
* chore: ruff fix
* chore: updated smallest ai schema in openapi.json
---------
Co-authored-by: Sabiha Khan <sabihak89@gmail.com>
Co-authored-by: Sabiha Khan <87858386+chewwbaka@users.noreply.github.com>
* 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: support object and array parameters in custom HTTP tools
* feat(ui): expose object and array types in the custom tool parameter editor
* fix: error handling and schema generation
---------
Co-authored-by: Matt Van Horn <455140+mvanhorn@users.noreply.github.com>
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>
* filter out local sdp candidates on non local environment
* feat: add FORCE_TURN_RELAY variable
* add FORCE_TURN_RELAY option in docker-compose
* fix: fix github workflow
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.
