From c1148e3985d026d47ecfdfba4259e1b91107f52a Mon Sep 17 00:00:00 2001
From: Sauhard Jain <sauhardjain03@gmail.com>
Date: Wed, 7 Aug 2024 11:01:29 -0700
Subject: [PATCH] Include cartesia's voice controls on docs + update
 synthesizer (#674)

* docs: include cartesia's voice controls

* fix lint and add padding

* fix: end of sentence issues

* lint and upgrade cartesia

* fix: pydantic casting issue

* lockfile

* fix pinecone lint
---
 docs/open-source/using-synthesizers.mdx       |   48 +-
 poetry.lock                                   | 1879 +++++++++--------
 pyproject.toml                                |    2 +-
 roadmap.md                                    |    1 +
 vocode/streaming/models/synthesizer.py        |   12 +-
 .../synthesizer/cartesia_synthesizer.py       |   39 +-
 vocode/streaming/vector_db/pinecone.py        |   13 +-
 7 files changed, 1068 insertions(+), 926 deletions(-)

diff --git a/docs/open-source/using-synthesizers.mdx b/docs/open-source/using-synthesizers.mdx
index 013ce2372..6bbb57c0b 100644
--- a/docs/open-source/using-synthesizers.mdx
+++ b/docs/open-source/using-synthesizers.mdx
@@ -13,13 +13,14 @@ Vocode currently supports the following synthesizers:
 
 1. Azure (Microsoft)
 2. Google
-3. Eleven Labs
-4. Rime
-5. Play.ht
-6. GTTS (Google Text-to-Speech)
-7. Stream Elements
-8. Bark
-9. Amazon Polly
+3. Cartesia
+4. Eleven Labs
+5. Rime
+6. Play.ht
+7. GTTS (Google Text-to-Speech)
+8. Stream Elements
+9. Bark
+10. Amazon Polly
 
 These synthesizers are defined using their respective configuration classes, which are subclasses of the `SynthesizerConfig` class.
 
@@ -83,7 +84,38 @@ synthesizer_config=PlayHtSynthesizerConfig.from_telephone_output_device(
 ...
 ```
 
-### Example 2: Using Azure in StreamingConversation locally
+### Example 2: Using Cartesia's streaming synthesizer
+
+We support Cartesia's [low-latency streaming API](https://docs.cartesia.ai/api-reference/endpoints/stream-speech-websocket) enabled by WebSockets. You can use the `CartesiaSynthesizer` with the `CartesiaSynthesizerConfig` to enable this feature.
+
+#### Telephony
+
+```python
+synthesizer_config=CartesiaSynthesizerConfig.from_telephone_output_device(
+    api_key=os.getenv("CARTESIA_API_KEY"),
+    voice_id=os.getenv("CARTESIA_VOICE_ID"),
+)
+```
+
+In this example, the `CartesiaSynthesizerConfig.from_output_device()` method is used to create a configuration object for the Cartesia synthesizer.
+The method takes a `speaker_output` object as an argument, and extracts the `sampling_rate` and `audio_encoding` from the output device.
+
+#### Controlling Speed & Emotions
+
+You can set the `speed` and `emotion` parameters in the `CartesiaSynthesizerConfig` object to control the speed and emotions of the agent's voice! See [this page](https://docs.cartesia.ai/user-guides/voice-control) for more details.
+
+```python
+CartesiaSynthesizerConfig(
+    api_key=os.getenv("CARTESIA_API_KEY"),
+    voice_id=os.getenv("CARTESIA_VOICE_ID"),
+    experimental_voice_controls={
+        "speed": "slow",
+        "emotion": "positivity: high"
+    }
+)
+```
+
+### Example 3: Using Azure in StreamingConversation locally
 
 ```python
 from vocode.streaming.models.synthesizer import AzureSynthesizerConfig
diff --git a/poetry.lock b/poetry.lock
index e6030148a..e9caa21b3 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,91 +1,103 @@
 # This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
 
+[[package]]
+name = "aiohappyeyeballs"
+version = "2.3.5"
+description = "Happy Eyeballs for asyncio"
+optional = false
+python-versions = ">=3.8"
+files = [
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+    {file = "aiohappyeyeballs-2.3.5.tar.gz", hash = "sha256:6fa48b9f1317254f122a07a131a86b71ca6946ca989ce6326fff54a99a920105"},
+]
+
 [[package]]
 name = "aiohttp"
-version = "3.9.5"
+version = "3.10.1"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
+aiohappyeyeballs = ">=2.3.0"
 aiosignal = ">=1.1.2"
 async-timeout = {version = ">=4.0,<5.0", markers = "python_version < \"3.11\""}
 attrs = ">=17.3.0"
@@ -94,7 +106,7 @@ multidict = ">=4.5,<7.0"
 yarl = ">=1.0,<2.0"
 
 [package.extras]
-speedups = ["Brotli", "aiodns", "brotlicffi"]
+speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"]
 
 [[package]]
 name = "aiohttp-retry"
@@ -209,22 +221,22 @@ files = [
 
 [[package]]
 name = "attrs"
-version = "23.2.0"
+version = "24.2.0"
 description = "Classes Without Boilerplate"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.extras]
-cov = ["attrs[tests]", "coverage[toml] (>=5.3)"]
-dev = ["attrs[tests]", "pre-commit"]
-docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"]
-tests = ["attrs[tests-no-zope]", "zope-interface"]
-tests-mypy = ["mypy (>=1.6)", "pytest-mypy-plugins"]
-tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "pytest (>=4.3.0)", "pytest-xdist[psutil]"]
+benchmark = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+cov = ["cloudpickle", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+dev = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pre-commit", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier (<24.7)"]
+tests = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"]
 
 [[package]]
 name = "azure-cognitiveservices-speech"
@@ -243,33 +255,33 @@ files = [
 
 [[package]]
 name = "black"
-version = "24.4.2"
+version = "24.8.0"
 description = "The uncompromising code formatter."
 optional = false
 python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
@@ -589,43 +636,38 @@ toml = ["tomli"]
 
 [[package]]
 name = "cryptography"
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+version = "43.0.0"
 description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
 optional = false
 python-versions = ">=3.7"
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 ]
 
 [package.dependencies]
@@ -638,7 +680,7 @@ nox = ["nox"]
 pep8test = ["check-sdist", "click", "mypy", "ruff"]
 sdist = ["build"]
 ssh = ["bcrypt (>=3.1.5)"]
-test = ["certifi", "pretend", "pytest (>=6.2.0)", "pytest-benchmark", "pytest-cov", "pytest-xdist"]
+test = ["certifi", "cryptography-vectors (==43.0.0)", "pretend", "pytest (>=6.2.0)", "pytest-benchmark", "pytest-cov", "pytest-xdist"]
 test-randomorder = ["pytest-randomly"]
 
 [[package]]
@@ -728,18 +770,19 @@ files = [
 
 [[package]]
 name = "elevenlabs"
-version = "1.4.1"
+version = "1.6.1"
 description = ""
 optional = false
 python-versions = "<4.0,>=3.8"
 files = [
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 ]
 
 [package.dependencies]
 httpx = ">=0.21.2"
 pydantic = ">=1.9.2"
+pydantic-core = ">=2.18.2,<3.0.0"
 requests = ">=2.20"
 typing_extensions = ">=4.0.0"
 websockets = ">=11.0"
@@ -775,13 +818,13 @@ test = ["pytest (>=6)"]
 
 [[package]]
 name = "fakeredis"
-version = "2.23.3"
+version = "2.23.5"
 description = "Python implementation of redis API, can be used for testing purposes."
 optional = false
 python-versions = "<4.0,>=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -823,20 +866,21 @@ all = ["email_validator (>=2.0.0)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)"
 
 [[package]]
 name = "fastapi-cli"
-version = "0.0.4"
+version = "0.0.5"
 description = "Run and manage FastAPI apps from the command line with FastAPI CLI. 🚀"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "fastapi_cli-0.0.4-py3-none-any.whl", hash = "sha256:a2552f3a7ae64058cdbb530be6fa6dbfc975dc165e4fa66d224c3d396e25e809"},
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+    {file = "fastapi_cli-0.0.5-py3-none-any.whl", hash = "sha256:e94d847524648c748a5350673546bbf9bcaeb086b33c24f2e82e021436866a46"},
+    {file = "fastapi_cli-0.0.5.tar.gz", hash = "sha256:d30e1239c6f46fcb95e606f02cdda59a1e2fa778a54b64686b3ff27f6211ff9f"},
 ]
 
 [package.dependencies]
 typer = ">=0.12.3"
+uvicorn = {version = ">=0.15.0", extras = ["standard"]}
 
 [package.extras]
-standard = ["fastapi", "uvicorn[standard] (>=0.15.0)"]
+standard = ["uvicorn[standard] (>=0.15.0)"]
 
 [[package]]
 name = "filelock"
@@ -1012,13 +1056,13 @@ grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
 
 [[package]]
 name = "google-auth"
-version = "2.32.0"
+version = "2.33.0"
 description = "Google Authentication Library"
 optional = true
 python-versions = ">=3.7"
 files = [
-    {file = "google_auth-2.32.0-py2.py3-none-any.whl", hash = "sha256:53326ea2ebec768070a94bee4e1b9194c9646ea0c2bd72422785bd0f9abfad7b"},
-    {file = "google_auth-2.32.0.tar.gz", hash = "sha256:49315be72c55a6a37d62819e3573f6b416aca00721f7e3e31a008d928bf64022"},
+    {file = "google_auth-2.33.0-py2.py3-none-any.whl", hash = "sha256:8eff47d0d4a34ab6265c50a106a3362de6a9975bb08998700e389f857e4d39df"},
+    {file = "google_auth-2.33.0.tar.gz", hash = "sha256:d6a52342160d7290e334b4d47ba390767e4438ad0d45b7630774533e82655b95"},
 ]
 
 [package.dependencies]
@@ -1035,13 +1079,13 @@ requests = ["requests (>=2.20.0,<3.0.0.dev0)"]
 
 [[package]]
 name = "google-cloud-aiplatform"
-version = "1.59.0"
+version = "1.60.0"
 description = "Vertex AI API client library"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "google-cloud-aiplatform-1.59.0.tar.gz", hash = "sha256:2bebb59c0ba3e3b4b568305418ca1b021977988adbee8691a5bed09b037e7e63"},
-    {file = "google_cloud_aiplatform-1.59.0-py2.py3-none-any.whl", hash = "sha256:549e6eb1844b0f853043309138ebe2db00de4bbd8197b3bde26804ac163ef52a"},
+    {file = "google-cloud-aiplatform-1.60.0.tar.gz", hash = "sha256:782c7f1ec0e77a7c7daabef3b65bfd506ed2b4b1dc2186753c43cd6faf8dd04e"},
+    {file = "google_cloud_aiplatform-1.60.0-py2.py3-none-any.whl", hash = "sha256:5f14159c9575f4b46335027e3ceb8fa57bd5eaa76a07f858105b8c6c034ec0d6"},
 ]
 
 [package.dependencies]
@@ -1063,8 +1107,8 @@ cloud-profiler = ["tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow
 datasets = ["pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0dev)"]
 endpoint = ["requests (>=2.28.1)"]
 full = ["cloudpickle (<3.0)", "docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<=0.109.1)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-cloud-logging (<4.0)", "google-vizier (>=0.1.6)", "httpx (>=0.23.0,<0.25.0)", "immutabledict", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.1.1)", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pyyaml (>=5.3.1,<7)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<=2.9.3)", "ray[default] (>=2.5,<=2.9.3)", "requests (>=2.28.1)", "setuptools (<70.0.0)", "starlette (>=0.17.1)", "tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "tqdm (>=4.23.0)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)", "werkzeug (>=2.0.0,<2.1.0dev)"]
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+langchain-testing = ["absl-py", "cloudpickle (>=3.0,<4.0)", "google-cloud-trace (<2)", "langchain (>=0.1.16,<0.3)", "langchain-core (<0.3)", "langchain-google-vertexai (<2)", "openinference-instrumentation-langchain (>=0.1.19,<0.2)", "opentelemetry-exporter-gcp-trace (<2)", "opentelemetry-sdk (<2)", "pydantic (>=2.6.3,<3)", "pytest-xdist", "tenacity (<=8.3)"]
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 metadata = ["numpy (>=1.15.0)", "pandas (>=1.0.0)"]
 pipelines = ["pyyaml (>=5.3.1,<7)"]
@@ -1074,7 +1118,7 @@ private-endpoints = ["requests (>=2.28.1)", "urllib3 (>=1.21.1,<1.27)"]
 rapid-evaluation = ["pandas (>=1.0.0,<2.2.0)", "tqdm (>=4.23.0)"]
 ray = ["google-cloud-bigquery", "google-cloud-bigquery-storage", "immutabledict", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=6.0.1)", "pydantic (<2)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<=2.9.3)", "ray[default] (>=2.5,<=2.9.3)", "setuptools (<70.0.0)"]
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-reasoningengine = ["cloudpickle (>=3.0,<4.0)", "opentelemetry-exporter-gcp-trace (<2)", "opentelemetry-sdk (<2)", "pydantic (>=2.6.3,<3)"]
+reasoningengine = ["cloudpickle (>=3.0,<4.0)", "google-cloud-trace (<2)", "opentelemetry-exporter-gcp-trace (<2)", "opentelemetry-sdk (<2)", "pydantic (>=2.6.3,<3)"]
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 testing = ["bigframes", "cloudpickle (<3.0)", "docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<=0.109.1)", "google-api-core (>=2.11,<3.0.0)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-cloud-logging (<4.0)", "google-vizier (>=0.1.6)", "grpcio-testing", "httpx (>=0.23.0,<0.25.0)", "immutabledict", "ipython", "kfp (>=2.6.0,<3.0.0)", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.1.1)", "nltk", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pyfakefs", "pytest-asyncio", "pytest-xdist", "pyyaml (>=5.3.1,<7)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<=2.9.3)", "ray[default] (>=2.5,<=2.9.3)", "requests (>=2.28.1)", "requests-toolbelt (<1.0.0)", "scikit-learn", "sentencepiece (>=0.2.0)", "setuptools (<70.0.0)", "starlette (>=0.17.1)", "tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (==2.13.0)", "tensorflow (==2.16.1)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "torch (>=2.0.0,<2.1.0)", "torch (>=2.2.0)", "tqdm (>=4.23.0)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)", "werkzeug (>=2.0.0,<2.1.0dev)", "xgboost"]
 tokenization = ["sentencepiece (>=0.2.0)"]
@@ -1132,13 +1176,13 @@ grpc = ["grpcio (>=1.38.0,<2.0dev)", "grpcio-status (>=1.38.0,<2.0.dev0)"]
 
 [[package]]
 name = "google-cloud-resource-manager"
-version = "1.12.4"
+version = "1.12.5"
 description = "Google Cloud Resource Manager API client library"
 optional = true
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -1150,13 +1194,13 @@ protobuf = ">=3.20.2,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4
 
 [[package]]
 name = "google-cloud-speech"
-version = "2.26.1"
+version = "2.27.0"
 description = "Google Cloud Speech API client library"
 optional = true
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -1167,13 +1211,13 @@ protobuf = ">=3.20.2,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4
 
 [[package]]
 name = "google-cloud-storage"
-version = "2.17.0"
+version = "2.18.1"
 description = "Google Cloud Storage API client library"
 optional = true
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -1185,17 +1229,18 @@ google-resumable-media = ">=2.6.0"
 requests = ">=2.18.0,<3.0.0dev"
 
 [package.extras]
-protobuf = ["protobuf (<5.0.0dev)"]
+protobuf = ["protobuf (<6.0.0dev)"]
+tracing = ["opentelemetry-api (>=1.1.0)"]
 
 [[package]]
 name = "google-cloud-texttospeech"
-version = "2.16.4"
+version = "2.16.5"
 description = "Google Cloud Texttospeech API client library"
 optional = true
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -1428,76 +1473,76 @@ protobuf = ">=3.20.2,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4
 
 [[package]]
 name = "grpcio"
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 description = "HTTP/2-based RPC framework"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.extras]
-protobuf = ["grpcio-tools (>=1.64.1)"]
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 [[package]]
 name = "grpcio-status"
-version = "1.62.2"
+version = "1.62.3"
 description = "Status proto mapping for gRPC"
 optional = true
 python-versions = ">=3.6"
 files = [
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 [package.dependencies]
 googleapis-common-protos = ">=1.5.5"
-grpcio = ">=1.62.2"
+grpcio = ">=1.62.3"
 protobuf = ">=4.21.6"
 
 [[package]]
@@ -1606,13 +1651,13 @@ socks = ["socksio (==1.*)"]
 
 [[package]]
 name = "huggingface-hub"
-version = "0.23.5"
+version = "0.24.5"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.8.0"
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 ]
 
 [package.dependencies]
@@ -1625,17 +1670,17 @@ tqdm = ">=4.42.1"
 typing-extensions = ">=3.7.4.3"
 
 [package.extras]
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 inference = ["aiohttp", "minijinja (>=1.0)"]
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+quality = ["mypy (==1.5.1)", "ruff (>=0.5.0)"]
 tensorflow = ["graphviz", "pydot", "tensorflow"]
 tensorflow-testing = ["keras (<3.0)", "tensorflow"]
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-torch = ["safetensors", "torch"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
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 typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
 
 [[package]]
@@ -1651,22 +1696,22 @@ files = [
 
 [[package]]
 name = "importlib-metadata"
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+version = "8.0.0"
 description = "Read metadata from Python packages"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
 zipp = ">=0.5"
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 perf = ["ipython"]
-testing = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-perf (>=0.9.2)", "pytest-ruff (>=0.2.1)"]
+test = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-perf (>=0.9.2)", "pytest-ruff (>=0.2.1)"]
 
 [[package]]
 name = "iniconfig"
@@ -1878,19 +1923,19 @@ referencing = ">=0.31.0"
 
 [[package]]
 name = "langchain"
-version = "0.2.8"
+version = "0.2.12"
 description = "Building applications with LLMs through composability"
 optional = true
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain-0.2.8-py3-none-any.whl", hash = "sha256:53e7dfe50294a14200f33bec22b4e14cb63857ccf0a5500b0d18b0fd51285d58"},
-    {file = "langchain-0.2.8.tar.gz", hash = "sha256:7fecb309e3558cde4e5cf7e9ffb7c1ab3f07121c40a7ff3b0c27135f8120c296"},
+    {file = "langchain-0.2.12-py3-none-any.whl", hash = "sha256:565d2f5df1c06815d1c684400218ec4ae5e1027887aad343226fad846c54e726"},
+    {file = "langchain-0.2.12.tar.gz", hash = "sha256:fe7bd409c133017446fec54c38a5e7cb14f74e020090d7b5065374badf71e6d1"},
 ]
 
 [package.dependencies]
 aiohttp = ">=3.8.3,<4.0.0"
 async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""}
-langchain-core = ">=0.2.19,<0.3.0"
+langchain-core = ">=0.2.27,<0.3.0"
 langchain-text-splitters = ">=0.2.0,<0.3.0"
 langsmith = ">=0.1.17,<0.2.0"
 numpy = [
@@ -1905,36 +1950,36 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"
 
 [[package]]
 name = "langchain-anthropic"
-version = "0.1.20"
+version = "0.1.22"
 description = "An integration package connecting AnthropicMessages and LangChain"
 optional = true
 python-versions = "<4.0,>=3.8.1"
 files = [
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+    {file = "langchain_anthropic-0.1.22-py3-none-any.whl", hash = "sha256:149c4056efbdeddde901c9ff301b0d30ea4fd6bb951f9469ac74cd5efcc86bff"},
+    {file = "langchain_anthropic-0.1.22.tar.gz", hash = "sha256:8d46ea715e2f80911ceca299b4249e01461f36c22cda82e08f49bdb07a785b1d"},
 ]
 
 [package.dependencies]
 anthropic = ">=0.28.0,<1"
 defusedxml = ">=0.7.1,<0.8.0"
-langchain-core = ">=0.2.17,<0.3"
+langchain-core = ">=0.2.26,<0.3.0"
 
 [[package]]
 name = "langchain-community"
-version = "0.2.7"
+version = "0.2.11"
 description = "Community contributed LangChain integrations."
 optional = true
 python-versions = "<4.0,>=3.8.1"
 files = [
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-    {file = "langchain_community-0.2.7.tar.gz", hash = "sha256:f52659dbb8a8f0c011cc7d634247686d11d768843cc3e5fe9e6f52321cde82c0"},
+    {file = "langchain_community-0.2.11-py3-none-any.whl", hash = "sha256:465c03ba1603975d141533424185e09546ecf09e379c93aee2671bdc9b325cda"},
+    {file = "langchain_community-0.2.11.tar.gz", hash = "sha256:ede261ff8202f1433f004ee90baf89f371cee37cb1abfc16dd0f8392db10b23e"},
 ]
 
 [package.dependencies]
 aiohttp = ">=3.8.3,<4.0.0"
 dataclasses-json = ">=0.5.7,<0.7"
-langchain = ">=0.2.7,<0.3.0"
-langchain-core = ">=0.2.12,<0.3.0"
+langchain = ">=0.2.12,<0.3.0"
+langchain-core = ">=0.2.27,<0.3.0"
 langsmith = ">=0.1.0,<0.2.0"
 numpy = [
     {version = ">=1,<2", markers = "python_version < \"3.12\""},
@@ -1947,13 +1992,13 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"
 
 [[package]]
 name = "langchain-core"
-version = "0.2.20"
+version = "0.2.29"
 description = "Building applications with LLMs through composability"
 optional = true
 python-versions = "<4.0,>=3.8.1"
 files = [
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+    {file = "langchain_core-0.2.29-py3-none-any.whl", hash = "sha256:846c04a3bb72e409a9b928e0eb3ea1762e1473f2c4fb6df2596fbd7b3ab75973"},
+    {file = "langchain_core-0.2.29.tar.gz", hash = "sha256:491324745a7afee5a7b285c3904edd9dd0c6efa7daf26b92fec6e84a2d2f5d10"},
 ]
 
 [package.dependencies]
@@ -1966,39 +2011,40 @@ pydantic = [
 ]
 PyYAML = ">=5.3"
 tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"
+typing-extensions = ">=4.7"
 
 [[package]]
 name = "langchain-google-vertexai"
-version = "1.0.6"
+version = "1.0.8"
 description = "An integration package connecting Google VertexAI and LangChain"
 optional = true
 python-versions = "<4.0,>=3.8.1"
 files = [
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+    {file = "langchain_google_vertexai-1.0.8-py3-none-any.whl", hash = "sha256:e35fb910604bfb05704f191bf17998e7f841a92f21677a0219c4f3a97de945c3"},
+    {file = "langchain_google_vertexai-1.0.8.tar.gz", hash = "sha256:db5b28aca9ae2cd0a775d97ec25374f9efac05e0ad336cb1cd5ca665e47b3fc3"},
 ]
 
 [package.dependencies]
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 google-cloud-storage = ">=2.17.0,<3.0.0"
-langchain-core = ">=0.2.9,<0.3"
+langchain-core = ">=0.2.25,<0.3"
 
 [package.extras]
-anthropic = ["anthropic[vertexai] (>=0.29.0,<1)"]
+anthropic = ["anthropic[vertexai] (>=0.30.0,<1)"]
 
 [[package]]
 name = "langchain-openai"
-version = "0.1.16"
+version = "0.1.20"
 description = "An integration package connecting OpenAI and LangChain"
 optional = true
 python-versions = "<4.0,>=3.8.1"
 files = [
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+    {file = "langchain_openai-0.1.20-py3-none-any.whl", hash = "sha256:232ebfe90b1898ef7cf181e364d45191edcf04bfc31b292ecaa1d2121942c28e"},
+    {file = "langchain_openai-0.1.20.tar.gz", hash = "sha256:2c91e9f771541076b138e65dd4c5427b26957a2272406a7f4ee747d7896f9b35"},
 ]
 
 [package.dependencies]
-langchain-core = ">=0.2.17,<0.3.0"
+langchain-core = ">=0.2.26,<0.3.0"
 openai = ">=1.32.0,<2.0.0"
 tiktoken = ">=0.7,<1"
 
@@ -2018,13 +2064,13 @@ langchain-core = ">=0.2.10,<0.3.0"
 
 [[package]]
 name = "langsmith"
-version = "0.1.87"
+version = "0.1.98"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = true
 python-versions = "<4.0,>=3.8.1"
 files = [
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 ]
 
 [package.dependencies]
@@ -2197,71 +2243,71 @@ files = [
 
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 name = "miniaudio"
-version = "1.60"
+version = "1.61"
 description = "python bindings for the miniaudio library and its decoders (mp3, flac, ogg vorbis, wav)"
 optional = false
 python-versions = "*"
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 [package.dependencies]
 mypy-extensions = ">=1.0.0"
 tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
-typing-extensions = ">=4.1.0"
+typing-extensions = ">=4.6.0"
 
 [package.extras]
 dmypy = ["psutil (>=4.0)"]
@@ -2496,71 +2542,73 @@ files = [
 
 [[package]]
 name = "openai"
-version = "1.35.14"
+version = "1.40.1"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.7.1"
 files = [
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 [package.dependencies]
 anyio = ">=3.5.0,<5"
 distro = ">=1.7.0,<2"
 httpx = ">=0.23.0,<1"
+jiter = ">=0.4.0,<1"
 pydantic = ">=1.9.0,<3"
 sniffio = "*"
 tqdm = ">4"
-typing-extensions = ">=4.7,<5"
+typing-extensions = ">=4.11,<5"
 
 [package.extras]
 datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
 
 [[package]]
 name = "opentelemetry-api"
-version = "1.25.0"
+version = "1.26.0"
 description = "OpenTelemetry Python API"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
 deprecated = ">=1.2.6"
-importlib-metadata = ">=6.0,<=7.1"
+importlib-metadata = ">=6.0,<=8.0.0"
 
 [[package]]
 name = "opentelemetry-sdk"
-version = "1.25.0"
+version = "1.26.0"
 description = "OpenTelemetry Python SDK"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
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+opentelemetry-api = "1.26.0"
+opentelemetry-semantic-conventions = "0.47b0"
 typing-extensions = ">=3.7.4"
 
 [[package]]
 name = "opentelemetry-semantic-conventions"
-version = "0.46b0"
+version = "0.47b0"
 description = "OpenTelemetry Semantic Conventions"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
-opentelemetry-api = "1.25.0"
+deprecated = ">=1.2.6"
+opentelemetry-api = "1.26.0"
 
 [[package]]
 name = "orjson"
@@ -2646,13 +2694,13 @@ files = [
 
 [[package]]
 name = "phonenumbers"
-version = "8.13.40"
+version = "8.13.42"
 description = "Python version of Google's common library for parsing, formatting, storing and validating international phone numbers."
 optional = false
 python-versions = "*"
 files = [
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 ]
 
 [[package]]
@@ -2705,22 +2753,22 @@ testing = ["google-api-core (>=1.31.5)"]
 
 [[package]]
 name = "protobuf"
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+version = "4.25.4"
 description = ""
 optional = false
 python-versions = ">=3.8"
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 ]
 
 [[package]]
@@ -2895,13 +2943,13 @@ typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
 
 [[package]]
 name = "pydantic-settings"
-version = "2.3.4"
+version = "2.4.0"
 description = "Settings management using Pydantic"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -2909,6 +2957,7 @@ pydantic = ">=2.7.0"
 python-dotenv = ">=0.21.0"
 
 [package.extras]
+azure-key-vault = ["azure-identity (>=1.16.0)", "azure-keyvault-secrets (>=4.8.0)"]
 toml = ["tomli (>=2.0.1)"]
 yaml = ["pyyaml (>=6.0.1)"]
 
@@ -2970,13 +3019,13 @@ requests = ">=2.31.0,<3.0.0"
 
 [[package]]
 name = "pyjwt"
-version = "2.8.0"
+version = "2.9.0"
 description = "JSON Web Token implementation in Python"
 optional = true
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 tests = ["coverage[toml] (==5.0.4)", "pytest (>=6.0.0,<7.0.0)"]
 
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 packaging = "*"
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 async-timeout = {version = ">=4.0.3", markers = "python_full_version < \"3.11.3\""}
 
 [package.extras]
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+hiredis = ["hiredis (>1.0.0)"]
 ocsp = ["cryptography (>=36.0.1)", "pyopenssl (==20.0.1)", "requests (>=2.26.0)"]
 
 [[package]]
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 [[package]]
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 [[package]]
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 pymongo = ["pymongo (>=3.1)"]
 pyspark = ["pyspark (>=2.4.4)"]
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 [package.dependencies]
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 [[package]]
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 [[package]]
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 [[package]]
@@ -4150,13 +4205,13 @@ zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
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 [package.dependencies]
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 pydantic = ">=2.5.2"
 pytz = ">=2018.5"
-requests = ">=2.4.2"
+requests = ">=2.32.2"
 vonage-jwt = ">=1.1.0"
 
 [[package]]
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 ]
 
 [package.dependencies]
@@ -4656,4 +4723,4 @@ transcribers = ["google-cloud-speech"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.10,<4.0"
-content-hash = "645eeaebdbc1191899f3c62d06923897d88986d7f3f0010724f974bee266a9f8"
+content-hash = "8764521de733dd192ed02ee787441937d3e48eec29cd27cb958ccc773972952e"
diff --git a/pyproject.toml b/pyproject.toml
index 0a5184e45..8017072c2 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -43,7 +43,7 @@ groq = { version = "^0.9.0", optional = true }
 # Synthesizers
 google-cloud-texttospeech = { version = "^2.16.3", optional = true }
 pvkoala = { version = "^2.0.1", optional = true }
-cartesia = { version = "^1.0.7", optional = true }
+cartesia = { version = "^1.0.10", optional = true }
 
 # Transcribers
 google-cloud-speech = { version = "^2.26.0", optional = true }
diff --git a/roadmap.md b/roadmap.md
index 27fc2cc20..0a4c37503 100644
--- a/roadmap.md
+++ b/roadmap.md
@@ -27,6 +27,7 @@ Our roadmap; if an issue has been created or the feature is currently being work
   - [x] Bark
   - [x] [Play.ht](http://Play.ht)
   - [x] Eleven Labs
+  - [x] Cartesia
   - [ ] Amazon Polly
   - [ ] Resemble.AI
 
diff --git a/vocode/streaming/models/synthesizer.py b/vocode/streaming/models/synthesizer.py
index df0a2f3ae..54a38830e 100644
--- a/vocode/streaming/models/synthesizer.py
+++ b/vocode/streaming/models/synthesizer.py
@@ -1,5 +1,5 @@
 from enum import Enum
-from typing import Any, Dict, List, Literal, Optional, TypedDict
+from typing import Any, Dict, List, Literal, Optional, Union
 
 from pydantic.v1 import validator
 
@@ -230,18 +230,18 @@ class PollySynthesizerConfig(SynthesizerConfig, type=SynthesizerType.POLLY.value
 
 
 DEFAULT_CARTESIA_MODEL_ID = "sonic-english"
-DEFAULT_CARTESIA_VOICE_ID = "829ccd10-f8b3-43cd-b8a0-4aeaa81f3b30"
+DEFAULT_CARTESIA_VOICE_ID = "f9836c6e-a0bd-460e-9d3c-f7299fa60f94"
 
 
-class CartesiaVoiceControls(TypedDict):
+class CartesiaVoiceControls(BaseModel):
     """See https://docs.cartesia.ai/user-guides/voice-control"""
 
-    speed: str
-    emotion: List[str]
+    speed: Optional[Union[float, str]] = None
+    emotion: Optional[List[str]] = None
 
 
 class CartesiaSynthesizerConfig(SynthesizerConfig, type=SynthesizerType.CARTESIA.value):  # type: ignore
     api_key: Optional[str] = None
     model_id: str = DEFAULT_CARTESIA_MODEL_ID
     voice_id: str = DEFAULT_CARTESIA_VOICE_ID
-    _experimental_voice_controls: Optional[CartesiaVoiceControls] = None
+    experimental_voice_controls: Optional[CartesiaVoiceControls] = None
diff --git a/vocode/streaming/synthesizer/cartesia_synthesizer.py b/vocode/streaming/synthesizer/cartesia_synthesizer.py
index e9ea6ac21..959ca5ba5 100644
--- a/vocode/streaming/synthesizer/cartesia_synthesizer.py
+++ b/vocode/streaming/synthesizer/cartesia_synthesizer.py
@@ -1,3 +1,4 @@
+import asyncio
 import hashlib
 
 from loguru import logger
@@ -28,7 +29,11 @@ def __init__(
 
         self.cartesia_tts = AsyncCartesia
 
-        self._experimental_voice_controls = synthesizer_config._experimental_voice_controls
+        self._experimental_voice_controls = None
+        if synthesizer_config.experimental_voice_controls:
+            self._experimental_voice_controls = (
+                synthesizer_config.experimental_voice_controls.dict()
+            )
 
         if synthesizer_config.audio_encoding == AudioEncoding.LINEAR16:
             match synthesizer_config.sampling_rate:
@@ -85,6 +90,8 @@ def __init__(
         self.client = self.cartesia_tts(api_key=self.api_key)
         self.ws = None
         self.ctx = None
+        self.no_more_inputs_task = None
+        self.no_more_inputs_lock = asyncio.Lock()
 
     async def initialize_ws(self):
         if self.ws is None:
@@ -96,9 +103,25 @@ async def initialize_ctx(self, is_first_text_chunk: bool):
                 self.ctx = self.ws.context()
         else:
             if is_first_text_chunk:
+                if self.no_more_inputs_task:
+                    self.no_more_inputs_task.cancel()
                 await self.ctx.no_more_inputs()
                 self.ctx = self.ws.context()
 
+    # This workaround is necessary to prevent the last chunk getting delayed.
+    # In the future, `create_speech_uncached` should be modified to handle this properly by adding a flag to the last chunk.
+    def refresh_no_more_inputs_task(self):
+        if self.no_more_inputs_task:
+            self.no_more_inputs_task.cancel()
+
+        async def delayed_no_more_inputs():
+            await asyncio.sleep(1)
+            async with self.no_more_inputs_lock:
+                if self.ctx:
+                    await self.ctx.no_more_inputs()
+
+        self.no_more_inputs_task = asyncio.create_task(delayed_no_more_inputs())
+
     async def create_speech_uncached(
         self,
         message: BaseMessage,
@@ -123,6 +146,11 @@ async def create_speech_uncached(
                 output_format=self.output_format,
                 _experimental_voice_controls=self._experimental_voice_controls,
             )
+            if not is_sole_text_chunk:
+                try:
+                    self.refresh_no_more_inputs_task()
+                except Exception as e:
+                    logger.info(f"Caught error while sending no more inputs: {e}")
 
         async def chunk_generator(context):
             buffer = bytearray()
@@ -143,6 +171,13 @@ async def chunk_generator(context):
                 )
                 self.ctx._close()
             if buffer:
+                # pad the leftover buffer with silence
+                if len(buffer) < chunk_size:
+                    padding_size = chunk_size - len(buffer)
+                    if self.output_format["encoding"] == "pcm_mulaw":
+                        buffer.extend(b"\x7f" * padding_size)  # 127 is silence in mu-law
+                    elif self.output_format["encoding"] == "pcm_s16le":
+                        buffer.extend(b"\x00\x00" * padding_size)  # 0 is silence in s16le
                 yield SynthesisResult.ChunkResult(chunk=buffer, is_last_chunk=True)
 
         return SynthesisResult(
@@ -167,6 +202,8 @@ def get_voice_identifier(cls, synthesizer_config: CartesiaSynthesizerConfig):
 
     async def tear_down(self):
         await super().tear_down()
+        if self.no_more_inputs_task:
+            self.no_more_inputs_task.cancel()
         if self.ctx:
             self.ctx._close()
         await self.ws.close()
diff --git a/vocode/streaming/vector_db/pinecone.py b/vocode/streaming/vector_db/pinecone.py
index ba40fda5c..6dc745372 100644
--- a/vocode/streaming/vector_db/pinecone.py
+++ b/vocode/streaming/vector_db/pinecone.py
@@ -1,5 +1,5 @@
 import uuid
-from typing import Iterable, List, Optional, Tuple
+from typing import Any, Iterable, List, Optional, Tuple, TypeGuard
 
 from langchain.docstore.document import Document
 from loguru import logger
@@ -9,15 +9,20 @@
 from vocode.streaming.vector_db.base_vector_db import VectorDB
 
 
+def is_non_empty_string(value: Any) -> TypeGuard[str]:
+    return isinstance(value, str) and len(value) > 0
+
+
 class PineconeDB(VectorDB):
     def __init__(self, config: PineconeConfig, *args, **kwargs) -> None:
         super().__init__(*args, **kwargs)
         self.config = config
 
         self.index_name = self.config.index
-        self.pinecone_api_key = getenv("PINECONE_API_KEY") or self.config.api_key
-        if not self.pinecone_api_key:
-            raise ValueError("Pinecone API key not set")
+        pinecone_api_key = getenv("PINECONE_API_KEY") or self.config.api_key
+        if not is_non_empty_string(pinecone_api_key):
+            raise ValueError("Pinecone API key not set or invalid")
+        self.pinecone_api_key = pinecone_api_key
         self.pinecone_environment = getenv("PINECONE_ENVIRONMENT") or self.config.api_environment
         self.pinecone_url = f"https://{self.index_name}.svc.{self.pinecone_environment}.pinecone.io"
         self._text_key = "text"