v1.10.0

### Added

- `SmallestTTSService` now uses Smallest AI's continuation API: text fragments within the same LLM turn share a `context_id` so the server joins them into one continuous generation instead of resetting prosody on each request. Added an optional `max_buffer_delay_ms` setting to control the server-side buffering window.
  (PR [#5626](https://github.com/pipecat-ai/pipecat/pull/5626))

- Added `LiveKitParams.audio_out_queue_size_ms` to configure the outgoing `rtc.AudioSource` buffer size. Defaults to LiveKit's 1000 ms, so existing behaviour is unchanged.
  (PR [#5699](https://github.com/pipecat-ai/pipecat/pull/5699))

- Added `enable_turn_detection` to `GradiumSTTService`. With it on, Gradium's server-side end-pointing signal decides when user turns start and end instead of the pipeline's VAD, and the service recommends `ExternalUserTurnStrategies` to the user aggregator. The new `eot_horizon_s`, `eot_threshold` and `post_flush_cooldown_frames` settings tune it.
  (PR [#5706](https://github.com/pipecat-ai/pipecat/pull/5706))

### Changed

- ⚠️ **Behavior change:** Pipecat now supports the openai 3 SDK, and the `openai` dependency is widened to `>=1.74.0,<4`, so a fresh resolve picks openai 3. It builds its HTTP clients on `httpx2` instead of `httpx`, and TLS certificates then verify against the operating system trust store rather than `certifi`. Minimal container images without system CA certificates, and environments behind a TLS-inspecting proxy, may need `SSL_CERT_FILE` or `SSL_CERT_DIR` pointed at a CA bundle. Pin `openai<3` to stay on the previous HTTP stack.

      A `Timeout` passed to a service's `http_client` — `OpenAITTSService` and
  the Whisper-based STT services — must come from the HTTP client family the
  installed SDK uses: `httpx2` on openai 3, `httpx` before it.
  (PR [#5620](https://github.com/pipecat-ai/pipecat/pull/5620))

- Widened the `anthropic` dependency to `>=0.49.0,<2` to support the anthropic 1 SDK. `AnthropicLLMService` sends `temperature`, `top_k` and `top_p` through the request's `extra_body`, since the Messages API methods dropped them as parameters in anthropic 1. Requests reach the API unchanged, and the settings keep their names and meaning.

      If you pass your own Bedrock client, anthropic 1 requires an explicit
  region — `AsyncAnthropicBedrock(aws_region=...)`, or `AWS_REGION` in the
  environment — where it previously fell back to `us-east-1`.
  (PR [#5623](https://github.com/pipecat-ai/pipecat/pull/5623))

- Widened the `mcp` dependency to `mcp[cli]>=1.24.0,<3` so `MCPClient` works with the MCP SDK's 2.x line as well as 1.x. The floor moves to 1.24.0, the first release carrying the `streamable_http_client` transport that both lines share.
  (PR [#5624](https://github.com/pipecat-ai/pipecat/pull/5624))

- `SpeechmaticsSTTService` reconnects with exponential backoff after a dropped connection or a recoverable server error, buffering audio meanwhile. A rejected credential, rejected session, request-rejecting server error, or exhausted reconnect attempts are reported as a permanent error, leaving the service unusable for the `PipelineWorker`'s `ProcessorUnusablePolicy` to act on. A settings update that requires a reconnect gives a rejected session another chance.
  (PR [#5631](https://github.com/pipecat-ai/pipecat/pull/5631))

- ⚠️ **Breaking change:** `SpeechmaticsSTTService` now targets Speechmatics Agent STT (`/v2/agent`) through the `speechmatics-agent-stt` SDK, which replaces `speechmatics-voice[smart]` in the `speechmatics` extra. The service cannot connect to the legacy real-time endpoint. The default `turn_detection_mode` is now `TurnDetectionMode.VAD`, so Speechmatics closes turns server-side and the service recommends `ExternalUserTurnStrategies`; pass `turn_detection_mode=TurnDetectionMode.EXTERNAL` to keep driving turns from Pipecat's own VAD. The default model is `linden-1`, selected by the new `model` setting. `Settings.include_partials` is renamed `enable_partials`.
  (PR [#5631](https://github.com/pipecat-ai/pipecat/pull/5631))

- The `pipecat eval suite` live dashboard now shows a repeated (bot, scenario) row's pass rate while its attempts are still running, beside how many are left, instead of only once every attempt is in. A pass rate, on the dashboard and in the piped summary, is green while every finished attempt passed and red once one has failed; the yellow middle band is gone.
  (PR [#5704](https://github.com/pipecat-ai/pipecat/pull/5704))

- The `recording` line in `pipecat eval suite`'s settings now says which of the selected runs will actually record. Only an audio-mode run produces audio, so with recording on it reads `on (3 of 6 runs; text mode skipped)` when the selection is mixed and `off (all runs text mode)` when nothing will be recorded. `pipecat eval run -a` prints the same line.
  (PR [#5707](https://github.com/pipecat-ai/pipecat/pull/5707))

- `DeepSeekLLMService` now defaults `thinking` to disabled. DeepSeek's V4 models otherwise reason before every answer, which delays the first spoken token. Pass `thinking=DeepSeekLLMService.ThinkingConfig(type="enabled")` to turn it on, or `thinking=None` to use DeepSeek's own default.
  (PR [#5710](https://github.com/pipecat-ai/pipecat/pull/5710))

### Deprecated

- Deprecated `SpeechmaticsSTTService` `operating_point` on `Settings` and `InputParams`; use `model` instead. Passing it still selects the model and emits a `DeprecationWarning`. It will be removed in 2.0.0.
  (PR [#5631](https://github.com/pipecat-ai/pipecat/pull/5631))

### Removed

- ⚠️ **Breaking change:** Agent STT has no speaker focus, so `SpeechmaticsSTTService` no longer exports `SpeakerFocusMode` or `SpeakerFocusConfig`, and `UpdateParams` and `update_params()` are removed. The `Settings` and `InputParams` fields `focus_speakers`, `ignore_speakers`, `focus_mode`, `speaker_passive_format`, `max_delay`, `end_of_utterance_silence_trigger`, `end_of_utterance_max_delay`, `split_sentences`, `include_results`, and `extra_params` are removed, as are `TurnDetectionMode.FIXED`, `ADAPTIVE`, and `SMART_TURN`. `OperatingPoint` is replaced by `Model`.
  (PR [#5631](https://github.com/pipecat-ai/pipecat/pull/5631))

- ⚠️ Removed `LmntTTSService`. LMNT has shut down and is no longer available.
  (PR [#5698](https://github.com/pipecat-ai/pipecat/pull/5698))

### Fixed

- Fixed the WebSocket transports treating an audio frame as unsent whenever the serializer emitted no payload for it. A serializer that resamples through a stream resampler buffers audio across calls and emits it in a later one, so on a pipeline whose output sample rate differs from the wire rate most frames took that path. Those frames are now paced and pushed downstream like any other, so the output queue drains at playback speed again and `BotStoppedSpeakingFrame` and the `EndFrame` behind it are no longer reached early, which matters most where the serializer hangs up the call on the `EndFrame`.
  (PR [#5593](https://github.com/pipecat-ai/pipecat/pull/5593))

- Fixed `PIPECAT_SETUP_FILES` parsing on platforms whose path separator is not a colon.
  (PR [#5638](https://github.com/pipecat-ai/pipecat/pull/5638))

- Fixed the `pipecat eval suite` live dashboard showing a repeated (bot, scenario) row as idle while a finished attempt's bot was still being stopped. The row now keeps spinning until its concurrency slot is released. `EvalRun` gains a `stopping` flag for that window.
  (PR [#5704](https://github.com/pipecat-ai/pipecat/pull/5704))

- Async function calls (`cancel_on_interruption=False`) whose result arrives before the conversation moves on are now recorded as ordinary tool results, without the deferred-result message that asks the LLM to convey them. The deferred delivery still applies when the LLM has responded, a new message has landed, or the call sent an intermediate update in the meantime.
  (PR [#5705](https://github.com/pipecat-ai/pipecat/pull/5705))

- Fixed `DeepSeekLLMService` failing every request after a tool call in thinking mode with a 400 (`The reasoning_content in the thinking mode must be passed back to the API`). DeepSeek requires `reasoning_content` on each assistant message of the current turn once a tool call is involved; the new `DeepSeekLLMAdapter` supplies an empty one on assistant messages that have none.
  (PR [#5710](https://github.com/pipecat-ai/pipecat/pull/5710))