diff --git a/.devcontainer/Dockerfile b/.devcontainer/Dockerfile
index 55d20255..ff261bad 100644
--- a/.devcontainer/Dockerfile
+++ b/.devcontainer/Dockerfile
@@ -3,7 +3,7 @@ FROM mcr.microsoft.com/vscode/devcontainers/python:0-${VARIANT}
 
 USER vscode
 
-RUN curl -sSf https://rye.astral.sh/get | RYE_VERSION="0.35.0" RYE_INSTALL_OPTION="--yes" bash
+RUN curl -sSf https://rye.astral.sh/get | RYE_VERSION="0.44.0" RYE_INSTALL_OPTION="--yes" bash
 ENV PATH=/home/vscode/.rye/shims:$PATH
 
 RUN echo "[[ -d .venv ]] && source .venv/bin/activate || export PATH=\$PATH" >> /home/vscode/.bashrc
diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index c8a8a4f7..3b286e5a 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -21,7 +21,7 @@ jobs:
           curl -sSf https://rye.astral.sh/get | bash
           echo "$HOME/.rye/shims" >> $GITHUB_PATH
         env:
-          RYE_VERSION: '0.35.0'
+          RYE_VERSION: '0.44.0'
           RYE_INSTALL_OPTION: '--yes'
 
       - name: Install dependencies
@@ -42,7 +42,7 @@ jobs:
           curl -sSf https://rye.astral.sh/get | bash
           echo "$HOME/.rye/shims" >> $GITHUB_PATH
         env:
-          RYE_VERSION: '0.35.0'
+          RYE_VERSION: '0.44.0'
           RYE_INSTALL_OPTION: '--yes'
 
       - name: Bootstrap
diff --git a/.github/workflows/publish-pypi.yml b/.github/workflows/publish-pypi.yml
index e206653d..85424099 100644
--- a/.github/workflows/publish-pypi.yml
+++ b/.github/workflows/publish-pypi.yml
@@ -21,7 +21,7 @@ jobs:
           curl -sSf https://rye.astral.sh/get | bash
           echo "$HOME/.rye/shims" >> $GITHUB_PATH
         env:
-          RYE_VERSION: '0.35.0'
+          RYE_VERSION: '0.44.0'
           RYE_INSTALL_OPTION: '--yes'
 
       - name: Publish to PyPI
diff --git a/.inline-snapshot/external/.gitignore b/.inline-snapshot/external/.gitignore
new file mode 100644
index 00000000..45bef68b
--- /dev/null
+++ b/.inline-snapshot/external/.gitignore
@@ -0,0 +1,2 @@
+# ignore all snapshots which are not refered in the source
+*-new.*
diff --git a/.inline-snapshot/external/173417d553406f034f643e5db3f8d591fb691ebac56f5ae39a22cc7d455c5353.openai b/.inline-snapshot/external/173417d553406f034f643e5db3f8d591fb691ebac56f5ae39a22cc7d455c5353.openai
new file mode 100644
index 00000000..49c6dce9
--- /dev/null
+++ b/.inline-snapshot/external/173417d553406f034f643e5db3f8d591fb691ebac56f5ae39a22cc7d455c5353.openai
@@ -0,0 +1,28 @@
+data: {"id":"chatcmpl-ABfw4IfQfCCrcuybFm41wJyxjbkz7","object":"chat.completion.chunk","created":1727346172,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_5050236cbd","choices":[{"index":0,"delta":{"role":"assistant","content":null,"refusal":""},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chatcmpl-ABfw4IfQfCCrcuybFm41wJyxjbkz7","object":"chat.completion.chunk","created":1727346172,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_5050236cbd","choices":[{"index":0,"delta":{"refusal":"I'm"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chatcmpl-ABfw4IfQfCCrcuybFm41wJyxjbkz7","object":"chat.completion.chunk","created":1727346172,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_5050236cbd","choices":[{"index":0,"delta":{"refusal":" sorry"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chatcmpl-ABfw4IfQfCCrcuybFm41wJyxjbkz7","object":"chat.completion.chunk","created":1727346172,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_5050236cbd","choices":[{"index":0,"delta":{"refusal":","},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chatcmpl-ABfw4IfQfCCrcuybFm41wJyxjbkz7","object":"chat.completion.chunk","created":1727346172,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_5050236cbd","choices":[{"index":0,"delta":{"refusal":" I"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chatcmpl-ABfw4IfQfCCrcuybFm41wJyxjbkz7","object":"chat.completion.chunk","created":1727346172,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_5050236cbd","choices":[{"index":0,"delta":{"refusal":" can't"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chatcmpl-ABfw4IfQfCCrcuybFm41wJyxjbkz7","object":"chat.completion.chunk","created":1727346172,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_5050236cbd","choices":[{"index":0,"delta":{"refusal":" assist"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chatcmpl-ABfw4IfQfCCrcuybFm41wJyxjbkz7","object":"chat.completion.chunk","created":1727346172,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_5050236cbd","choices":[{"index":0,"delta":{"refusal":" with"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chatcmpl-ABfw4IfQfCCrcuybFm41wJyxjbkz7","object":"chat.completion.chunk","created":1727346172,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_5050236cbd","choices":[{"index":0,"delta":{"refusal":" that"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chatcmpl-ABfw4IfQfCCrcuybFm41wJyxjbkz7","object":"chat.completion.chunk","created":1727346172,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_5050236cbd","choices":[{"index":0,"delta":{"refusal":" request"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chatcmpl-ABfw4IfQfCCrcuybFm41wJyxjbkz7","object":"chat.completion.chunk","created":1727346172,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_5050236cbd","choices":[{"index":0,"delta":{"refusal":"."},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chatcmpl-ABfw4IfQfCCrcuybFm41wJyxjbkz7","object":"chat.completion.chunk","created":1727346172,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_5050236cbd","choices":[{"index":0,"delta":{},"logprobs":null,"finish_reason":"stop"}]}
+
+data: {"id":"chatcmpl-ABfw4IfQfCCrcuybFm41wJyxjbkz7","object":"chat.completion.chunk","created":1727346172,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_5050236cbd","choices":[],"usage":{"prompt_tokens":79,"completion_tokens":11,"total_tokens":90,"completion_tokens_details":{"reasoning_tokens":0}}}
+
+data: [DONE]
+
diff --git a/.inline-snapshot/external/173417d553406f034f643e5db3f8d591fb691ebac56f5ae39a22cc7d455c5353.writer b/.inline-snapshot/external/173417d553406f034f643e5db3f8d591fb691ebac56f5ae39a22cc7d455c5353.writer
new file mode 100644
index 00000000..49c6dce9
--- /dev/null
+++ b/.inline-snapshot/external/173417d553406f034f643e5db3f8d591fb691ebac56f5ae39a22cc7d455c5353.writer
@@ -0,0 +1,28 @@
+data: {"id":"chatcmpl-ABfw4IfQfCCrcuybFm41wJyxjbkz7","object":"chat.completion.chunk","created":1727346172,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_5050236cbd","choices":[{"index":0,"delta":{"role":"assistant","content":null,"refusal":""},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chatcmpl-ABfw4IfQfCCrcuybFm41wJyxjbkz7","object":"chat.completion.chunk","created":1727346172,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_5050236cbd","choices":[{"index":0,"delta":{"refusal":"I'm"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chatcmpl-ABfw4IfQfCCrcuybFm41wJyxjbkz7","object":"chat.completion.chunk","created":1727346172,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_5050236cbd","choices":[{"index":0,"delta":{"refusal":" sorry"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chatcmpl-ABfw4IfQfCCrcuybFm41wJyxjbkz7","object":"chat.completion.chunk","created":1727346172,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_5050236cbd","choices":[{"index":0,"delta":{"refusal":","},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chatcmpl-ABfw4IfQfCCrcuybFm41wJyxjbkz7","object":"chat.completion.chunk","created":1727346172,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_5050236cbd","choices":[{"index":0,"delta":{"refusal":" I"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chatcmpl-ABfw4IfQfCCrcuybFm41wJyxjbkz7","object":"chat.completion.chunk","created":1727346172,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_5050236cbd","choices":[{"index":0,"delta":{"refusal":" can't"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chatcmpl-ABfw4IfQfCCrcuybFm41wJyxjbkz7","object":"chat.completion.chunk","created":1727346172,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_5050236cbd","choices":[{"index":0,"delta":{"refusal":" assist"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chatcmpl-ABfw4IfQfCCrcuybFm41wJyxjbkz7","object":"chat.completion.chunk","created":1727346172,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_5050236cbd","choices":[{"index":0,"delta":{"refusal":" with"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chatcmpl-ABfw4IfQfCCrcuybFm41wJyxjbkz7","object":"chat.completion.chunk","created":1727346172,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_5050236cbd","choices":[{"index":0,"delta":{"refusal":" that"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chatcmpl-ABfw4IfQfCCrcuybFm41wJyxjbkz7","object":"chat.completion.chunk","created":1727346172,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_5050236cbd","choices":[{"index":0,"delta":{"refusal":" request"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chatcmpl-ABfw4IfQfCCrcuybFm41wJyxjbkz7","object":"chat.completion.chunk","created":1727346172,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_5050236cbd","choices":[{"index":0,"delta":{"refusal":"."},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chatcmpl-ABfw4IfQfCCrcuybFm41wJyxjbkz7","object":"chat.completion.chunk","created":1727346172,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_5050236cbd","choices":[{"index":0,"delta":{},"logprobs":null,"finish_reason":"stop"}]}
+
+data: {"id":"chatcmpl-ABfw4IfQfCCrcuybFm41wJyxjbkz7","object":"chat.completion.chunk","created":1727346172,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_5050236cbd","choices":[],"usage":{"prompt_tokens":79,"completion_tokens":11,"total_tokens":90,"completion_tokens_details":{"reasoning_tokens":0}}}
+
+data: [DONE]
+
diff --git a/.inline-snapshot/external/2018feb66ae13fcf5333d61b95849decc68d3f63bd38172889367e1afb1e04f7.openai b/.inline-snapshot/external/2018feb66ae13fcf5333d61b95849decc68d3f63bd38172889367e1afb1e04f7.openai
new file mode 100644
index 00000000..87197067
--- /dev/null
+++ b/.inline-snapshot/external/2018feb66ae13fcf5333d61b95849decc68d3f63bd38172889367e1afb1e04f7.openai
@@ -0,0 +1,22 @@
+data: {"id":"chatcmpl-ABfwERreu9s99xXsVuOWtIB2UOx62","object":"chat.completion.chunk","created":1727346182,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_143bb8492c","choices":[{"index":0,"delta":{"role":"assistant","content":null,"tool_calls":[{"index":0,"id":"call_4XzlGBLtUe9dy3GVNV4jhq7h","type":"function","function":{"name":"get_weather","arguments":""}}],"refusal":null},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chatcmpl-ABfwERreu9s99xXsVuOWtIB2UOx62","object":"chat.completion.chunk","created":1727346182,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_143bb8492c","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":"{\""}}]},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chatcmpl-ABfwERreu9s99xXsVuOWtIB2UOx62","object":"chat.completion.chunk","created":1727346182,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_143bb8492c","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":"city"}}]},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chatcmpl-ABfwERreu9s99xXsVuOWtIB2UOx62","object":"chat.completion.chunk","created":1727346182,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_143bb8492c","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":"\":\""}}]},"logprobs":null,"finish_reason":null}]}
+
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+
+data: {"id":"chatcmpl-ABfwERreu9s99xXsVuOWtIB2UOx62","object":"chat.completion.chunk","created":1727346182,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_143bb8492c","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":" York"}}]},"logprobs":null,"finish_reason":null}]}
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+data: {"id":"chatcmpl-ABfwERreu9s99xXsVuOWtIB2UOx62","object":"chat.completion.chunk","created":1727346182,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_143bb8492c","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":" City"}}]},"logprobs":null,"finish_reason":null}]}
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+data: {"id":"chatcmpl-ABfwERreu9s99xXsVuOWtIB2UOx62","object":"chat.completion.chunk","created":1727346182,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_143bb8492c","choices":[],"usage":{"prompt_tokens":44,"completion_tokens":16,"total_tokens":60,"completion_tokens_details":{"reasoning_tokens":0}}}
+
+data: [DONE]
+
diff --git a/.inline-snapshot/external/2018feb66ae13fcf5333d61b95849decc68d3f63bd38172889367e1afb1e04f7.writer b/.inline-snapshot/external/2018feb66ae13fcf5333d61b95849decc68d3f63bd38172889367e1afb1e04f7.writer
new file mode 100644
index 00000000..87197067
--- /dev/null
+++ b/.inline-snapshot/external/2018feb66ae13fcf5333d61b95849decc68d3f63bd38172889367e1afb1e04f7.writer
@@ -0,0 +1,22 @@
+data: {"id":"chatcmpl-ABfwERreu9s99xXsVuOWtIB2UOx62","object":"chat.completion.chunk","created":1727346182,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_143bb8492c","choices":[{"index":0,"delta":{"role":"assistant","content":null,"tool_calls":[{"index":0,"id":"call_4XzlGBLtUe9dy3GVNV4jhq7h","type":"function","function":{"name":"get_weather","arguments":""}}],"refusal":null},"logprobs":null,"finish_reason":null}]}
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+
+data: [DONE]
+
diff --git a/.inline-snapshot/external/4cc50a6135d254573a502310e6af1246f55edb6ad95fa24059f160996b68866d.openai b/.inline-snapshot/external/4cc50a6135d254573a502310e6af1246f55edb6ad95fa24059f160996b68866d.openai
new file mode 100644
index 00000000..c3392883
--- /dev/null
+++ b/.inline-snapshot/external/4cc50a6135d254573a502310e6af1246f55edb6ad95fa24059f160996b68866d.openai
@@ -0,0 +1,10 @@
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+
+data: [DONE]
+
diff --git a/.inline-snapshot/external/4cc50a6135d254573a502310e6af1246f55edb6ad95fa24059f160996b68866d.writer b/.inline-snapshot/external/4cc50a6135d254573a502310e6af1246f55edb6ad95fa24059f160996b68866d.writer
new file mode 100644
index 00000000..c3392883
--- /dev/null
+++ b/.inline-snapshot/external/4cc50a6135d254573a502310e6af1246f55edb6ad95fa24059f160996b68866d.writer
@@ -0,0 +1,10 @@
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+data: {"id":"chatcmpl-ABfwAwrNePHUgBBezonVC6MX3zd63","object":"chat.completion.chunk","created":1727346178,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_5050236cbd","choices":[],"usage":{"prompt_tokens":149,"completion_tokens":60,"total_tokens":209,"completion_tokens_details":{"reasoning_tokens":0}}}
+
+data: [DONE]
+
diff --git a/.inline-snapshot/external/f82268f2fefd5cfbc7eeb59c297688be2f6ca0849a6e4f17851b517310841d9b.writer b/.inline-snapshot/external/f82268f2fefd5cfbc7eeb59c297688be2f6ca0849a6e4f17851b517310841d9b.writer
new file mode 100644
index 00000000..3b111d5e
--- /dev/null
+++ b/.inline-snapshot/external/f82268f2fefd5cfbc7eeb59c297688be2f6ca0849a6e4f17851b517310841d9b.writer
@@ -0,0 +1,52 @@
+data: {"id":"chatcmpl-ABfwAwrNePHUgBBezonVC6MX3zd63","object":"chat.completion.chunk","created":1727346178,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_5050236cbd","choices":[{"index":0,"delta":{"role":"assistant","content":null},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chatcmpl-ABfwAwrNePHUgBBezonVC6MX3zd63","object":"chat.completion.chunk","created":1727346178,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_5050236cbd","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"id":"call_JMW1whyEaYG438VE1OIflxA2","type":"function","function":{"name":"GetWeatherArgs","arguments":""}}]},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chatcmpl-ABfwAwrNePHUgBBezonVC6MX3zd63","object":"chat.completion.chunk","created":1727346178,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_5050236cbd","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":"{\"ci"}}]},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chatcmpl-ABfwAwrNePHUgBBezonVC6MX3zd63","object":"chat.completion.chunk","created":1727346178,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_5050236cbd","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":"ty\": "}}]},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chatcmpl-ABfwAwrNePHUgBBezonVC6MX3zd63","object":"chat.completion.chunk","created":1727346178,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_5050236cbd","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":"\"Edinb"}}]},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chatcmpl-ABfwAwrNePHUgBBezonVC6MX3zd63","object":"chat.completion.chunk","created":1727346178,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_5050236cbd","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":"urgh"}}]},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chatcmpl-ABfwAwrNePHUgBBezonVC6MX3zd63","object":"chat.completion.chunk","created":1727346178,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_5050236cbd","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":"\", \"c"}}]},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chatcmpl-ABfwAwrNePHUgBBezonVC6MX3zd63","object":"chat.completion.chunk","created":1727346178,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_5050236cbd","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":"ountry"}}]},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chatcmpl-ABfwAwrNePHUgBBezonVC6MX3zd63","object":"chat.completion.chunk","created":1727346178,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_5050236cbd","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":"\": \""}}]},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chatcmpl-ABfwAwrNePHUgBBezonVC6MX3zd63","object":"chat.completion.chunk","created":1727346178,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_5050236cbd","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":"GB\", "}}]},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chatcmpl-ABfwAwrNePHUgBBezonVC6MX3zd63","object":"chat.completion.chunk","created":1727346178,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_5050236cbd","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":"\"units"}}]},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chatcmpl-ABfwAwrNePHUgBBezonVC6MX3zd63","object":"chat.completion.chunk","created":1727346178,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_5050236cbd","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":"\": \""}}]},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chatcmpl-ABfwAwrNePHUgBBezonVC6MX3zd63","object":"chat.completion.chunk","created":1727346178,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_5050236cbd","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":"c\"}"}}]},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chatcmpl-ABfwAwrNePHUgBBezonVC6MX3zd63","object":"chat.completion.chunk","created":1727346178,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_5050236cbd","choices":[{"index":0,"delta":{"tool_calls":[{"index":1,"id":"call_DNYTawLBoN8fj3KN6qU9N1Ou","type":"function","function":{"name":"get_stock_price","arguments":""}}]},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chatcmpl-ABfwAwrNePHUgBBezonVC6MX3zd63","object":"chat.completion.chunk","created":1727346178,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_5050236cbd","choices":[{"index":0,"delta":{"tool_calls":[{"index":1,"function":{"arguments":"{\"ti"}}]},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chatcmpl-ABfwAwrNePHUgBBezonVC6MX3zd63","object":"chat.completion.chunk","created":1727346178,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_5050236cbd","choices":[{"index":0,"delta":{"tool_calls":[{"index":1,"function":{"arguments":"cker\""}}]},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chatcmpl-ABfwAwrNePHUgBBezonVC6MX3zd63","object":"chat.completion.chunk","created":1727346178,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_5050236cbd","choices":[{"index":0,"delta":{"tool_calls":[{"index":1,"function":{"arguments":": \"AAP"}}]},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chatcmpl-ABfwAwrNePHUgBBezonVC6MX3zd63","object":"chat.completion.chunk","created":1727346178,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_5050236cbd","choices":[{"index":0,"delta":{"tool_calls":[{"index":1,"function":{"arguments":"L\", "}}]},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chatcmpl-ABfwAwrNePHUgBBezonVC6MX3zd63","object":"chat.completion.chunk","created":1727346178,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_5050236cbd","choices":[{"index":0,"delta":{"tool_calls":[{"index":1,"function":{"arguments":"\"exch"}}]},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chatcmpl-ABfwAwrNePHUgBBezonVC6MX3zd63","object":"chat.completion.chunk","created":1727346178,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_5050236cbd","choices":[{"index":0,"delta":{"tool_calls":[{"index":1,"function":{"arguments":"ange\":"}}]},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chatcmpl-ABfwAwrNePHUgBBezonVC6MX3zd63","object":"chat.completion.chunk","created":1727346178,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_5050236cbd","choices":[{"index":0,"delta":{"tool_calls":[{"index":1,"function":{"arguments":" \"NA"}}]},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chatcmpl-ABfwAwrNePHUgBBezonVC6MX3zd63","object":"chat.completion.chunk","created":1727346178,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_5050236cbd","choices":[{"index":0,"delta":{"tool_calls":[{"index":1,"function":{"arguments":"SDAQ\""}}]},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chatcmpl-ABfwAwrNePHUgBBezonVC6MX3zd63","object":"chat.completion.chunk","created":1727346178,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_5050236cbd","choices":[{"index":0,"delta":{"tool_calls":[{"index":1,"function":{"arguments":"}"}}]},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chatcmpl-ABfwAwrNePHUgBBezonVC6MX3zd63","object":"chat.completion.chunk","created":1727346178,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_5050236cbd","choices":[{"index":0,"delta":{},"logprobs":null,"finish_reason":"tool_calls"}]}
+
+data: {"id":"chatcmpl-ABfwAwrNePHUgBBezonVC6MX3zd63","object":"chat.completion.chunk","created":1727346178,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_5050236cbd","choices":[],"usage":{"prompt_tokens":149,"completion_tokens":60,"total_tokens":209,"completion_tokens_details":{"reasoning_tokens":0}}}
+
+data: [DONE]
+
diff --git a/.release-please-manifest.json b/.release-please-manifest.json
index 65f558e7..e466ebdd 100644
--- a/.release-please-manifest.json
+++ b/.release-please-manifest.json
@@ -1,3 +1,3 @@
 {
-  ".": "2.0.0"
-}
\ No newline at end of file
+  ".": "2.1.0-rc1"
+}
diff --git a/.stats.yml b/.stats.yml
index 9ae4d8b3..79dab344 100644
--- a/.stats.yml
+++ b/.stats.yml
@@ -1,2 +1,4 @@
-configured_endpoints: 29
-openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/writerai%2Fwriter-3d3b2fe43375eac35441f6de554253a7dc3eaa5d97c00a5a351ec72d6587eb32.yml
+configured_endpoints: 30
+openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/writerai%2Fwriter-d15316b8a3a086ae9ec8eea0d436b0885262df9bcf23b9587ad059e50357c220.yml
+openapi_spec_hash: 4f81a4f4840438f80eff345e76ead962
+config_hash: b3310cd2944d74a3599e847847226a42
diff --git a/CHANGELOG.md b/CHANGELOG.md
index ea6a2250..1ae6d301 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,5 +1,44 @@
 # Changelog
 
+## 2.1.0-rc1 (2025-04-01)
+
+Full Changelog: [v2.0.0...v2.1.0-rc1](https://github.com/writer/writer-python/compare/v2.0.0...v2.1.0-rc1)
+
+### Features
+
+* add chat streaming helpers ([#209](https://github.com/writer/writer-python/issues/209)) ([7b65fc1](https://github.com/writer/writer-python/commit/7b65fc1d54432bba101f1f23a83d532644a298be))
+* **api:** Add Vision endpoint. ([#220](https://github.com/writer/writer-python/issues/220)) ([886b828](https://github.com/writer/writer-python/commit/886b82895a8dd336debafa588ac1e14da359677d))
+* **api:** Add Vision endpoint. ([#221](https://github.com/writer/writer-python/issues/221)) ([967073d](https://github.com/writer/writer-python/commit/967073dec1241af76c0d11b4805c64f5ee7b7844))
+
+
+### Bug Fixes
+
+* **ci:** ensure pip is always available ([#214](https://github.com/writer/writer-python/issues/214)) ([7285bc1](https://github.com/writer/writer-python/commit/7285bc105f39631ce52d7877bc335d49cbe9294c))
+* **ci:** remove publishing patch ([#215](https://github.com/writer/writer-python/issues/215)) ([26c3993](https://github.com/writer/writer-python/commit/26c39939db099741785c7f2cb013a8a5105c2273))
+* **types:** handle more discriminated union shapes ([#213](https://github.com/writer/writer-python/issues/213)) ([d1a067c](https://github.com/writer/writer-python/commit/d1a067ce68afa9fb59832c291b1d9fbd30aae763))
+
+
+### Chores
+
+* **docs:** update client docstring ([#203](https://github.com/writer/writer-python/issues/203)) ([3779210](https://github.com/writer/writer-python/commit/3779210ed12a9332f86682059b4aec4320cf7e7c))
+* fix typos ([#222](https://github.com/writer/writer-python/issues/222)) ([2ad9218](https://github.com/writer/writer-python/commit/2ad92187d04daa64d4dd0720d8cd941523c411c9))
+* **internal:** bump rye to 0.44.0 ([#211](https://github.com/writer/writer-python/issues/211)) ([7efe8a4](https://github.com/writer/writer-python/commit/7efe8a4b003ea1d4edeee785e9f9ac805b914289))
+* **internal:** codegen related update ([#204](https://github.com/writer/writer-python/issues/204)) ([f5e9ce7](https://github.com/writer/writer-python/commit/f5e9ce7c1a763fd59547b7eb1f5c0856dc80562b))
+* **internal:** Fix README code samples. ([#219](https://github.com/writer/writer-python/issues/219)) ([2efd5ea](https://github.com/writer/writer-python/commit/2efd5eafe21865ea6406e463cdac2231c0f810ea))
+* **internal:** Fix README samples. ([#217](https://github.com/writer/writer-python/issues/217)) ([a06f969](https://github.com/writer/writer-python/commit/a06f9697adf77ee2be877279179977270581d393))
+* **internal:** remove extra empty newlines ([#210](https://github.com/writer/writer-python/issues/210)) ([3b5fd4c](https://github.com/writer/writer-python/commit/3b5fd4c429c740ca2f460b6f974769336831e80e))
+* **internal:** version bump ([#200](https://github.com/writer/writer-python/issues/200)) ([a7b5f67](https://github.com/writer/writer-python/commit/a7b5f670838042af9a51c6e916ba0dff122635ce))
+
+
+### Documentation
+
+* **api:** updates to API spec ([#208](https://github.com/writer/writer-python/issues/208)) ([829e77a](https://github.com/writer/writer-python/commit/829e77ae9fb6e899fbdc6075586491404ef910da))
+* **api:** updates to API spec ([#216](https://github.com/writer/writer-python/issues/216)) ([3d29c55](https://github.com/writer/writer-python/commit/3d29c5598266b8da7fe9aae0614dc4b43c4986f3))
+* **api:** updates to API spec ([#223](https://github.com/writer/writer-python/issues/223)) ([c72a478](https://github.com/writer/writer-python/commit/c72a4781f221ecaba62519c1c08831ab78ee2169))
+* **api:** updates to API spec ([#224](https://github.com/writer/writer-python/issues/224)) ([7a990d7](https://github.com/writer/writer-python/commit/7a990d7af74adaac7b68b0d2319e8abc3704c757))
+* revise readme docs about nested params ([#206](https://github.com/writer/writer-python/issues/206)) ([ce4dfcc](https://github.com/writer/writer-python/commit/ce4dfcc857ae82c2d4cab789d32844d6643b2d56))
+* update URLs from stainlessapi.com to stainless.com ([#202](https://github.com/writer/writer-python/issues/202)) ([5895a7a](https://github.com/writer/writer-python/commit/5895a7a2c077f50c74ee56c2e985f3ac7fa63382))
+
 ## 2.0.0 (2025-02-26)
 
 Full Changelog: [v2.0.0-rc1...v2.0.0](https://github.com/writer/writer-python/compare/v2.0.0-rc1...v2.0.0)
diff --git a/README.md b/README.md
index bca571dc..7a358504 100644
--- a/README.md
+++ b/README.md
@@ -6,7 +6,7 @@ The Writer Python library provides access to the Writer REST API from any Python
 application. It includes a set of tools and utilities that make it easy to integrate the capabilities
 of Writer into your projects.
 
-It is generated with [Stainless](https://www.stainlessapi.com/).
+It is generated with [Stainless](https://www.stainless.com/).
 
 ## Documentation
 
@@ -70,7 +70,7 @@ client = Writer()
 chat_completion = client.chat.chat(
     messages=[
         {
-            "content": "Write a poem about Python",
+            "content": "Write a haiku about programming",
             "role": "user",
         }
     ],
@@ -92,7 +92,7 @@ async def main() -> None:
     chat_completion = await client.chat.chat(
         messages=[
             {
-                "content": "Write a poem about Python",
+                "content": "Write a haiku about programming",
                 "role": "user",
             }
         ],
@@ -120,7 +120,7 @@ client = Writer()
 stream = client.chat.chat(
     messages=[
         {
-            "content": "Write a poem about Python",
+            "content": "Write a haiku about programming",
             "role": "user",
         }
     ],
@@ -148,7 +148,7 @@ client = AsyncWriter()
 stream = await client.chat.chat(
     messages=[
         {
-            "content": "Write a poem about Python",
+            "content": "Write a haiku about programming",
             "role": "user",
         }
     ],
@@ -167,6 +167,22 @@ print(output_text)
 
 For non-streaming responses, the library returns a single response object.
 
+### Streaming Helpers
+
+The SDK also includes helpers to process streams and handle incoming events.
+
+```python
+with client.chat.stream(
+    model="palmyra-x-004",
+    messages=[{"role": "user", "content": prompt}],
+) as stream:
+    for event in stream:
+        if event.type == "content.delta":
+            print(event.delta, flush=True, end="")
+```
+
+More information on streaming helpers can be found in the dedicated documentation: [helpers.md](helpers.md)
+
 ## Pagination
 
 List methods in the Writer API are paginated.
@@ -226,6 +242,23 @@ for graph in first_page.data:
     print(graph.id)
 ```
 
+## Nested params
+
+Nested parameters are dictionaries, typed using `TypedDict`, for example:
+
+```python
+from writerai import Writer
+
+client = Writer()
+
+chat_completion = client.chat.chat(
+    messages=[{"role": "user"}],
+    model="model",
+    stream_options={"include_usage": True},
+)
+print(chat_completion.stream_options)
+```
+
 ## File uploads
 
 You can pass file upload parameters as `bytes`, a [`PathLike`](https://docs.python.org/3/library/os.html#os.PathLike) instance or a tuple of `(filename, contents, media type)`.
@@ -267,7 +300,7 @@ try:
     client.chat.chat(
         messages=[
             {
-                "content": "Write a poem about Python",
+                "content": "Write a haiku about programming",
                 "role": "user",
             }
         ],
@@ -318,7 +351,7 @@ client = Writer(
 client.with_options(max_retries=5).chat.chat(
     messages=[
         {
-            "content": "Write a poem about Python",
+            "content": "Write a haiku about programming",
             "role": "user",
         }
     ],
@@ -350,7 +383,7 @@ client = Writer(
 client.with_options(timeout=5.0).chat.chat(
     messages=[
         {
-            "content": "Write a poem about Python",
+            "content": "Write a haiku about programming",
             "role": "user",
         }
     ],
@@ -400,7 +433,7 @@ from writerai import Writer
 client = Writer()
 response = client.chat.with_raw_response.chat(
     messages=[{
-        "content": "Write a poem about Python",
+        "content": "Write a haiku about programming",
         "role": "user",
     }],
     model="palmyra-x-004",
@@ -423,7 +456,7 @@ To stream the raw response body, use `.with_streaming_response`, which requires
 with client.chat.with_streaming_response.chat(
     messages=[
         {
-            "content": "Write a poem about Python",
+            "content": "Write a haiku about programming",
             "role": "user",
         }
     ],
diff --git a/SECURITY.md b/SECURITY.md
index f08c9053..b7b1acaa 100644
--- a/SECURITY.md
+++ b/SECURITY.md
@@ -2,9 +2,9 @@
 
 ## Reporting Security Issues
 
-This SDK is generated by [Stainless Software Inc](http://stainlessapi.com). Stainless takes security seriously, and encourages you to report any security vulnerability promptly so that appropriate action can be taken.
+This SDK is generated by [Stainless Software Inc](http://stainless.com). Stainless takes security seriously, and encourages you to report any security vulnerability promptly so that appropriate action can be taken.
 
-To report a security issue, please contact the Stainless team at security@stainlessapi.com.
+To report a security issue, please contact the Stainless team at security@stainless.com.
 
 ## Responsible Disclosure
 
diff --git a/api.md b/api.md
index 2749ea06..5cb0e727 100644
--- a/api.md
+++ b/api.md
@@ -181,3 +181,15 @@ from writerai.types.tools import ComprehendMedicalResponse
 Methods:
 
 - <code title="post /v1/tools/comprehend/medical">client.tools.comprehend.<a href="./src/writerai/resources/tools/comprehend.py">medical</a>(\*\*<a href="src/writerai/types/tools/comprehend_medical_params.py">params</a>) -> <a href="./src/writerai/types/tools/comprehend_medical_response.py">ComprehendMedicalResponse</a></code>
+
+# Vision
+
+Types:
+
+```python
+from writerai.types import VisionRequest, VisionResponse
+```
+
+Methods:
+
+- <code title="post /v1/vision">client.vision.<a href="./src/writerai/resources/vision.py">analyze</a>(\*\*<a href="src/writerai/types/vision_analyze_params.py">params</a>) -> <a href="./src/writerai/types/vision_response.py">VisionResponse</a></code>
diff --git a/bin/publish-pypi b/bin/publish-pypi
index 05bfccbb..826054e9 100644
--- a/bin/publish-pypi
+++ b/bin/publish-pypi
@@ -3,7 +3,4 @@
 set -eux
 mkdir -p dist
 rye build --clean
-# Patching importlib-metadata version until upstream library version is updated
-# https://github.com/pypa/twine/issues/977#issuecomment-2189800841
-"$HOME/.rye/self/bin/python3" -m pip install 'importlib-metadata==7.2.1'
 rye publish --yes --token=$PYPI_TOKEN
diff --git a/examples/chat_streaming_helper.py b/examples/chat_streaming_helper.py
new file mode 100644
index 00000000..40bf1078
--- /dev/null
+++ b/examples/chat_streaming_helper.py
@@ -0,0 +1,61 @@
+# This example demonstrates writer.com chat streaming helper
+#
+# To run it locally you will need:
+# - An API key from writer.com
+# - Rye installed, see https://rye-up.com
+#
+# Run the following commands from the root of the repository:
+# $ rye sync --all-features
+# $ WRITERAI_API_KEY="<your api key>" rye run python examples/chat_streaming_helper.py
+
+from writerai import Client, AsyncClient, BadRequestError
+
+
+def sync_example() -> None:
+    client = Client()
+
+    print("Let's complete a prompt:")
+    prompt = "Hi, today I want to write about"
+    print(f"> {prompt}")
+    try:
+        with client.chat.stream(
+            model="palmyra-x-004",
+            messages=[{"role": "user", "content": prompt}],
+        ) as stream:
+            for event in stream:
+                if event.type == "content.delta":
+                    print(event.delta, flush=True, end="")
+
+    except BadRequestError as e:
+        print(f"Error: {e.body}")
+
+
+async def async_example() -> None:
+    client = AsyncClient()
+
+    print("Let's complete a prompt:")
+    prompt = "Hi, today I want to write about"
+    print(f"> {prompt}")
+    try:
+        async with client.chat.stream(
+            model="palmyra-x-004",
+            messages=[{"role": "user", "content": prompt}],
+        ) as stream:
+            async for event in stream:
+                if event.type == "content.delta":
+                    print(event.delta, flush=True, end="")
+
+    except BadRequestError as e:
+        print(f"Error: {e.body}")
+
+
+if __name__ == "__main__":
+    print("=== Synchronous example ===")
+    sync_example()
+    print()
+    print()
+
+    print("=== Asynchronous example ===")
+    import asyncio
+
+    asyncio.run(async_example())
diff --git a/helpers.md b/helpers.md
new file mode 100644
index 00000000..76f18ef5
--- /dev/null
+++ b/helpers.md
@@ -0,0 +1,130 @@
+# Streaming Helpers
+
+Writer supports streaming responses when interacting with the [Chat Completion API](#chat-completion-api).
+
+## Chat Completion API
+
+The SDK provides a `client.chat.stream()` method that wraps the `client.chat.chat(stream=True)` stream providing a more granular event API and automatic accumulation of each delta.
+
+Unlike `client.chat.chat(stream=True)`, the `stream()` method requires usage within a context manager to prevent accidental leak of the response:
+
+```py
+from writerai import AsyncWriter
+
+client = AsyncWriter()
+
+async with client.chat.stream(
+    model='palmyra-x-004',
+    messages=[...],
+) as stream:
+    async for event in stream:
+        if event.type == 'content.delta':
+            print(event.content, flush=True, end='')
+```
+
+When the context manager is entered, a `ChatCompletionStream` / `AsyncChatCompletionStream` instance is returned which, like `.create(stream=True)` is an iterator in the sync client and an async iterator in the async client. The full list of events that are yielded by the iterator are outlined [below](#chat-completions-events).
+
+When the context manager exits, the response will be closed, however the `stream` instance is still available outside
+the context manager.
+
+### Text Generation Events
+
+These events allow you to track the progress of the chat completion generation, access partial results, and handle different aspects of the stream separately.
+
+Below is a list of the different event types you may encounter:
+
+#### ChunkEvent
+
+Emitted for every chunk received from the API.
+
+- `type`: `"chunk"`
+- `chunk`: The raw `ChatCompletionChunk` object received from the API
+- `snapshot`: The current accumulated state of the chat completion
+
+#### ContentDeltaEvent
+
+Emitted for every chunk containing new content.
+
+- `type`: `"content.delta"`
+- `delta`: The new content string received in this chunk
+- `snapshot`: The accumulated content so far
+- `parsed`: The partially parsed content (if applicable)
+
+#### ContentDoneEvent
+
+Emitted when the content generation is complete. May be fired multiple times if there are multiple choices.
+
+- `type`: `"content.done"`
+- `content`: The full generated content
+- `parsed`: The fully parsed content (if applicable)
+
+#### RefusalDeltaEvent
+
+Emitted when a chunk contains part of a content refusal.
+
+- `type`: `"refusal.delta"`
+- `delta`: The new refusal content string received in this chunk
+- `snapshot`: The accumulated refusal content string so far
+
+#### RefusalDoneEvent
+
+Emitted when the refusal content is complete.
+
+- `type`: `"refusal.done"`
+- `refusal`: The full refusal content
+
+#### LogprobsContentDeltaEvent
+
+Emitted when a chunk contains new content log probabilities.
+
+- `type`: `"logprobs.content.delta"`
+- `content`: A list of the new log probabilities received in this chunk
+- `snapshot`: A list of the accumulated log probabilities so far
+
+#### LogprobsContentDoneEvent
+
+Emitted when all content log probabilities have been received.
+
+- `type`: `"logprobs.content.done"`
+- `content`: The full list of token log probabilities for the content
+
+#### LogprobsRefusalDeltaEvent
+
+Emitted when a chunk contains new refusal log probabilities.
+
+- `type`: `"logprobs.refusal.delta"`
+- `refusal`: A list of the new log probabilities received in this chunk
+- `snapshot`: A list of the accumulated log probabilities so far
+
+#### LogprobsRefusalDoneEvent
+
+Emitted when all refusal log probabilities have been received.
+
+- `type`: `"logprobs.refusal.done"`
+- `refusal`: The full list of token log probabilities for the refusal
+
+### Helper methods
+
+A handful of helper methods are provided on the stream class for additional convenience,
+
+**`.get_final_completion()`**
+
+Returns the accumulated `ParsedChatCompletion` object
+
+```py
+async with client.chat.stream(...) as stream:
+    ...
+
+completion = await stream.get_final_completion()
+print(completion.choices[0].message)
+```
+
+**`.until_done()`**
+
+If you want to wait for the stream to complete, you can use the `.until_done()` method.
+
+```py
+async with client.chat.stream(...) as stream:
+    await stream.until_done()
+    # stream is now finished
+```
diff --git a/pyproject.toml b/pyproject.toml
index 3cc82969..7ce8e640 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [project]
 name = "writer-sdk"
-version = "2.0.0"
+version = "2.1.0-rc1"
 description = "The official Python library for the writer API"
 dynamic = ["readme"]
 license = "Apache-2.0"
@@ -14,6 +14,8 @@ dependencies = [
     "anyio>=3.5.0, <5",
     "distro>=1.7.0, <2",
     "sniffio",
+    "cached-property; python_version < '3.8'",
+    "jiter>=0.4.0, <1",
 ]
 requires-python = ">= 3.8"
 classifiers = [
@@ -38,7 +40,6 @@ Homepage = "https://github.com/writer/writer-python"
 Repository = "https://github.com/writer/writer-python"
 
 
-
 [tool.rye]
 managed = true
 # version pins are in requirements-dev.lock
@@ -54,7 +55,8 @@ dev-dependencies = [
     "dirty-equals>=0.6.0",
     "importlib-metadata>=6.7.0",
     "rich>=13.7.1",
-    "nest_asyncio==1.6.0",
+    "inline-snapshot >=0.7.0",
+    "nest_asyncio==1.6.0"
 ]
 
 [tool.rye.scripts]
@@ -87,7 +89,7 @@ typecheck = { chain = [
 "typecheck:mypy" = "mypy ."
 
 [build-system]
-requires = ["hatchling", "hatch-fancy-pypi-readme"]
+requires = ["hatchling==1.26.3", "hatch-fancy-pypi-readme"]
 build-backend = "hatchling.build"
 
 [tool.hatch.build]
@@ -152,7 +154,6 @@ reportImplicitOverride = true
 reportImportCycles = false
 reportPrivateUsage = false
 
-
 [tool.ruff]
 line-length = 120
 output-format = "grouped"
diff --git a/requirements-dev.lock b/requirements-dev.lock
index 857dd051..a11423c2 100644
--- a/requirements-dev.lock
+++ b/requirements-dev.lock
@@ -17,6 +17,8 @@ anyio==4.4.0
     # via writer-sdk
 argcomplete==3.1.2
     # via nox
+asttokens==3.0.0
+    # via inline-snapshot
 certifi==2023.7.22
     # via httpcore
     # via httpx
@@ -30,6 +32,8 @@ distro==1.8.0
 exceptiongroup==1.2.2
     # via anyio
     # via pytest
+executing==2.2.0
+    # via inline-snapshot
 filelock==3.12.4
     # via virtualenv
 h11==0.14.0
@@ -45,6 +49,9 @@ idna==3.4
 importlib-metadata==7.0.0
 iniconfig==2.0.0
     # via pytest
+inline-snapshot==0.20.5
+jiter==0.8.2
+    # via writer-sdk
 markdown-it-py==3.0.0
     # via rich
 mdurl==0.1.2
@@ -79,6 +86,7 @@ pytz==2023.3.post1
     # via dirty-equals
 respx==0.22.0
 rich==13.7.1
+    # via inline-snapshot
 ruff==0.9.4
 setuptools==68.2.2
     # via nodeenv
@@ -89,6 +97,7 @@ sniffio==1.3.0
     # via writer-sdk
 time-machine==2.9.0
 tomli==2.0.2
+    # via inline-snapshot
     # via mypy
     # via pytest
 typing-extensions==4.12.2
diff --git a/requirements.lock b/requirements.lock
index 8bd96abb..f9197fb2 100644
--- a/requirements.lock
+++ b/requirements.lock
@@ -31,6 +31,8 @@ httpx==0.28.1
 idna==3.4
     # via anyio
     # via httpx
+jiter==0.8.2
+    # via writer-sdk
 pydantic==2.10.3
     # via writer-sdk
 pydantic-core==2.27.1
diff --git a/scripts/test b/scripts/test
index 4fa5698b..2b878456 100755
--- a/scripts/test
+++ b/scripts/test
@@ -52,6 +52,8 @@ else
   echo
 fi
 
+export DEFER_PYDANTIC_BUILD=false
+
 echo "==> Running tests"
 rye run pytest "$@"
 
diff --git a/src/writerai/__init__.py b/src/writerai/__init__.py
index 77e4947c..9f0a8dcd 100644
--- a/src/writerai/__init__.py
+++ b/src/writerai/__init__.py
@@ -8,6 +8,7 @@
 from ._version import __title__, __version__
 from ._response import APIResponse as APIResponse, AsyncAPIResponse as AsyncAPIResponse
 from ._constants import DEFAULT_TIMEOUT, DEFAULT_MAX_RETRIES, DEFAULT_CONNECTION_LIMITS
+from .lib._tools import pydantic_function_tool
 from ._exceptions import (
     APIError,
     WriterError,
@@ -21,8 +22,10 @@
     AuthenticationError,
     InternalServerError,
     PermissionDeniedError,
+    LengthFinishReasonError,
     UnprocessableEntityError,
     APIResponseValidationError,
+    ContentFilterFinishReasonError,
 )
 from ._base_client import DefaultHttpxClient, DefaultAsyncHttpxClient
 from ._utils._logs import setup_logging as _setup_logging
@@ -51,6 +54,8 @@
     "UnprocessableEntityError",
     "RateLimitError",
     "InternalServerError",
+    "LengthFinishReasonError",
+    "ContentFilterFinishReasonError",
     "Timeout",
     "RequestOptions",
     "Client",
@@ -66,6 +71,7 @@
     "DEFAULT_CONNECTION_LIMITS",
     "DefaultHttpxClient",
     "DefaultAsyncHttpxClient",
+    "pydantic_function_tool",
 ]
 
 _setup_logging()
diff --git a/src/writerai/_base_client.py b/src/writerai/_base_client.py
index 276f85af..70e528b6 100644
--- a/src/writerai/_base_client.py
+++ b/src/writerai/_base_client.py
@@ -9,7 +9,6 @@
 import inspect
 import logging
 import platform
-import warnings
 import email.utils
 from types import TracebackType
 from random import random
@@ -36,7 +35,7 @@
 import httpx
 import distro
 import pydantic
-from httpx import URL, Limits
+from httpx import URL
 from pydantic import PrivateAttr
 
 from . import _exceptions
@@ -52,13 +51,10 @@
     NotGiven,
     FileTypes,
     ResponseT,
-    Transport,
     AnyMapping,
     PostParser,
-    ProxiesTypes,
     RequestFiles,
     HttpxSendArgs,
-    AsyncTransport,
     RequestOptions,
     HttpxRequestFiles,
     ModelBuilderProtocol,
@@ -338,9 +334,6 @@ class BaseClient(Generic[_HttpxClientT, _DefaultStreamT]):
     _base_url: URL
     max_retries: int
     timeout: Union[float, Timeout, None]
-    _limits: httpx.Limits
-    _proxies: ProxiesTypes | None
-    _transport: Transport | AsyncTransport | None
     _strict_response_validation: bool
     _idempotency_header: str | None
     _default_stream_cls: type[_DefaultStreamT] | None = None
@@ -353,9 +346,6 @@ def __init__(
         _strict_response_validation: bool,
         max_retries: int = DEFAULT_MAX_RETRIES,
         timeout: float | Timeout | None = DEFAULT_TIMEOUT,
-        limits: httpx.Limits,
-        transport: Transport | AsyncTransport | None,
-        proxies: ProxiesTypes | None,
         custom_headers: Mapping[str, str] | None = None,
         custom_query: Mapping[str, object] | None = None,
     ) -> None:
@@ -363,9 +353,6 @@ def __init__(
         self._base_url = self._enforce_trailing_slash(URL(base_url))
         self.max_retries = max_retries
         self.timeout = timeout
-        self._limits = limits
-        self._proxies = proxies
-        self._transport = transport
         self._custom_headers = custom_headers or {}
         self._custom_query = custom_query or {}
         self._strict_response_validation = _strict_response_validation
@@ -803,46 +790,11 @@ def __init__(
         base_url: str | URL,
         max_retries: int = DEFAULT_MAX_RETRIES,
         timeout: float | Timeout | None | NotGiven = NOT_GIVEN,
-        transport: Transport | None = None,
-        proxies: ProxiesTypes | None = None,
-        limits: Limits | None = None,
         http_client: httpx.Client | None = None,
         custom_headers: Mapping[str, str] | None = None,
         custom_query: Mapping[str, object] | None = None,
         _strict_response_validation: bool,
     ) -> None:
-        kwargs: dict[str, Any] = {}
-        if limits is not None:
-            warnings.warn(
-                "The `connection_pool_limits` argument is deprecated. The `http_client` argument should be passed instead",
-                category=DeprecationWarning,
-                stacklevel=3,
-            )
-            if http_client is not None:
-                raise ValueError("The `http_client` argument is mutually exclusive with `connection_pool_limits`")
-        else:
-            limits = DEFAULT_CONNECTION_LIMITS
-
-        if transport is not None:
-            kwargs["transport"] = transport
-            warnings.warn(
-                "The `transport` argument is deprecated. The `http_client` argument should be passed instead",
-                category=DeprecationWarning,
-                stacklevel=3,
-            )
-            if http_client is not None:
-                raise ValueError("The `http_client` argument is mutually exclusive with `transport`")
-
-        if proxies is not None:
-            kwargs["proxies"] = proxies
-            warnings.warn(
-                "The `proxies` argument is deprecated. The `http_client` argument should be passed instead",
-                category=DeprecationWarning,
-                stacklevel=3,
-            )
-            if http_client is not None:
-                raise ValueError("The `http_client` argument is mutually exclusive with `proxies`")
-
         if not is_given(timeout):
             # if the user passed in a custom http client with a non-default
             # timeout set then we use that timeout.
@@ -863,12 +815,9 @@ def __init__(
 
         super().__init__(
             version=version,
-            limits=limits,
             # cast to a valid type because mypy doesn't understand our type narrowing
             timeout=cast(Timeout, timeout),
-            proxies=proxies,
             base_url=base_url,
-            transport=transport,
             max_retries=max_retries,
             custom_query=custom_query,
             custom_headers=custom_headers,
@@ -878,9 +827,6 @@ def __init__(
             base_url=base_url,
             # cast to a valid type because mypy doesn't understand our type narrowing
             timeout=cast(Timeout, timeout),
-            limits=limits,
-            follow_redirects=True,
-            **kwargs,  # type: ignore
         )
 
     def is_closed(self) -> bool:
@@ -1384,45 +1330,10 @@ def __init__(
         _strict_response_validation: bool,
         max_retries: int = DEFAULT_MAX_RETRIES,
         timeout: float | Timeout | None | NotGiven = NOT_GIVEN,
-        transport: AsyncTransport | None = None,
-        proxies: ProxiesTypes | None = None,
-        limits: Limits | None = None,
         http_client: httpx.AsyncClient | None = None,
         custom_headers: Mapping[str, str] | None = None,
         custom_query: Mapping[str, object] | None = None,
     ) -> None:
-        kwargs: dict[str, Any] = {}
-        if limits is not None:
-            warnings.warn(
-                "The `connection_pool_limits` argument is deprecated. The `http_client` argument should be passed instead",
-                category=DeprecationWarning,
-                stacklevel=3,
-            )
-            if http_client is not None:
-                raise ValueError("The `http_client` argument is mutually exclusive with `connection_pool_limits`")
-        else:
-            limits = DEFAULT_CONNECTION_LIMITS
-
-        if transport is not None:
-            kwargs["transport"] = transport
-            warnings.warn(
-                "The `transport` argument is deprecated. The `http_client` argument should be passed instead",
-                category=DeprecationWarning,
-                stacklevel=3,
-            )
-            if http_client is not None:
-                raise ValueError("The `http_client` argument is mutually exclusive with `transport`")
-
-        if proxies is not None:
-            kwargs["proxies"] = proxies
-            warnings.warn(
-                "The `proxies` argument is deprecated. The `http_client` argument should be passed instead",
-                category=DeprecationWarning,
-                stacklevel=3,
-            )
-            if http_client is not None:
-                raise ValueError("The `http_client` argument is mutually exclusive with `proxies`")
-
         if not is_given(timeout):
             # if the user passed in a custom http client with a non-default
             # timeout set then we use that timeout.
@@ -1444,11 +1355,8 @@ def __init__(
         super().__init__(
             version=version,
             base_url=base_url,
-            limits=limits,
             # cast to a valid type because mypy doesn't understand our type narrowing
             timeout=cast(Timeout, timeout),
-            proxies=proxies,
-            transport=transport,
             max_retries=max_retries,
             custom_query=custom_query,
             custom_headers=custom_headers,
@@ -1458,9 +1366,6 @@ def __init__(
             base_url=base_url,
             # cast to a valid type because mypy doesn't understand our type narrowing
             timeout=cast(Timeout, timeout),
-            limits=limits,
-            follow_redirects=True,
-            **kwargs,  # type: ignore
         )
 
     def is_closed(self) -> bool:
diff --git a/src/writerai/_client.py b/src/writerai/_client.py
index 0a6f5a0f..a7b48cb6 100644
--- a/src/writerai/_client.py
+++ b/src/writerai/_client.py
@@ -8,7 +8,8 @@
 
 import httpx
 
-from . import _exceptions
+from writerai import _exceptions
+
 from ._qs import Querystring
 from ._types import (
     NOT_GIVEN,
@@ -24,7 +25,7 @@
     get_async_library,
 )
 from ._version import __version__
-from .resources import chat, files, graphs, models, completions
+from .resources import chat, files, graphs, models, vision, completions
 from ._streaming import Stream as Stream, AsyncStream as AsyncStream
 from ._exceptions import WriterError, APIStatusError
 from ._base_client import (
@@ -46,6 +47,7 @@ class Writer(SyncAPIClient):
     graphs: graphs.GraphsResource
     files: files.FilesResource
     tools: tools.ToolsResource
+    vision: vision.VisionResource
     with_raw_response: WriterWithRawResponse
     with_streaming_response: WriterWithStreamedResponse
 
@@ -75,7 +77,7 @@ def __init__(
         # part of our public interface in the future.
         _strict_response_validation: bool = False,
     ) -> None:
-        """Construct a new synchronous writer client instance.
+        """Construct a new synchronous Writer client instance.
 
         This automatically infers the `api_key` argument from the `WRITER_API_KEY` environment variable if it is not provided.
         """
@@ -112,6 +114,7 @@ def __init__(
         self.graphs = graphs.GraphsResource(self)
         self.files = files.FilesResource(self)
         self.tools = tools.ToolsResource(self)
+        self.vision = vision.VisionResource(self)
         self.with_raw_response = WriterWithRawResponse(self)
         self.with_streaming_response = WriterWithStreamedResponse(self)
 
@@ -228,6 +231,7 @@ class AsyncWriter(AsyncAPIClient):
     graphs: graphs.AsyncGraphsResource
     files: files.AsyncFilesResource
     tools: tools.AsyncToolsResource
+    vision: vision.AsyncVisionResource
     with_raw_response: AsyncWriterWithRawResponse
     with_streaming_response: AsyncWriterWithStreamedResponse
 
@@ -257,7 +261,7 @@ def __init__(
         # part of our public interface in the future.
         _strict_response_validation: bool = False,
     ) -> None:
-        """Construct a new async writer client instance.
+        """Construct a new async AsyncWriter client instance.
 
         This automatically infers the `api_key` argument from the `WRITER_API_KEY` environment variable if it is not provided.
         """
@@ -294,6 +298,7 @@ def __init__(
         self.graphs = graphs.AsyncGraphsResource(self)
         self.files = files.AsyncFilesResource(self)
         self.tools = tools.AsyncToolsResource(self)
+        self.vision = vision.AsyncVisionResource(self)
         self.with_raw_response = AsyncWriterWithRawResponse(self)
         self.with_streaming_response = AsyncWriterWithStreamedResponse(self)
 
@@ -411,6 +416,7 @@ def __init__(self, client: Writer) -> None:
         self.graphs = graphs.GraphsResourceWithRawResponse(client.graphs)
         self.files = files.FilesResourceWithRawResponse(client.files)
         self.tools = tools.ToolsResourceWithRawResponse(client.tools)
+        self.vision = vision.VisionResourceWithRawResponse(client.vision)
 
 
 class AsyncWriterWithRawResponse:
@@ -422,6 +428,7 @@ def __init__(self, client: AsyncWriter) -> None:
         self.graphs = graphs.AsyncGraphsResourceWithRawResponse(client.graphs)
         self.files = files.AsyncFilesResourceWithRawResponse(client.files)
         self.tools = tools.AsyncToolsResourceWithRawResponse(client.tools)
+        self.vision = vision.AsyncVisionResourceWithRawResponse(client.vision)
 
 
 class WriterWithStreamedResponse:
@@ -433,6 +440,7 @@ def __init__(self, client: Writer) -> None:
         self.graphs = graphs.GraphsResourceWithStreamingResponse(client.graphs)
         self.files = files.FilesResourceWithStreamingResponse(client.files)
         self.tools = tools.ToolsResourceWithStreamingResponse(client.tools)
+        self.vision = vision.VisionResourceWithStreamingResponse(client.vision)
 
 
 class AsyncWriterWithStreamedResponse:
@@ -444,6 +452,7 @@ def __init__(self, client: AsyncWriter) -> None:
         self.graphs = graphs.AsyncGraphsResourceWithStreamingResponse(client.graphs)
         self.files = files.AsyncFilesResourceWithStreamingResponse(client.files)
         self.tools = tools.AsyncToolsResourceWithStreamingResponse(client.tools)
+        self.vision = vision.AsyncVisionResourceWithStreamingResponse(client.vision)
 
 
 Client = Writer
diff --git a/src/writerai/_compat.py b/src/writerai/_compat.py
index 92d9ee61..87fc3707 100644
--- a/src/writerai/_compat.py
+++ b/src/writerai/_compat.py
@@ -164,6 +164,18 @@ def model_parse(model: type[_ModelT], data: Any) -> _ModelT:
     return model.parse_obj(data)  # pyright: ignore[reportDeprecated]
 
 
+def model_parse_json(model: type[_ModelT], data: str | bytes) -> _ModelT:
+    if PYDANTIC_V2:
+        return model.model_validate_json(data)
+    return model.parse_raw(data)  # pyright: ignore[reportDeprecated]
+
+
+def model_json_schema(model: type[_ModelT]) -> dict[str, Any]:
+    if PYDANTIC_V2:
+        return model.model_json_schema()
+    return model.schema()  # pyright: ignore[reportDeprecated]
+
+
 # generic models
 if TYPE_CHECKING:
 
diff --git a/src/writerai/_exceptions.py b/src/writerai/_exceptions.py
index 684af996..83d7179b 100644
--- a/src/writerai/_exceptions.py
+++ b/src/writerai/_exceptions.py
@@ -2,10 +2,14 @@
 
 from __future__ import annotations
 
+from typing import TYPE_CHECKING
 from typing_extensions import Literal
 
 import httpx
 
+if TYPE_CHECKING:
+    from .types.chat_completion import ChatCompletion
+
 __all__ = [
     "BadRequestError",
     "AuthenticationError",
@@ -15,6 +19,8 @@
     "UnprocessableEntityError",
     "RateLimitError",
     "InternalServerError",
+    "LengthFinishReasonError",
+    "ContentFilterFinishReasonError",
 ]
 
 
@@ -106,3 +112,26 @@ class RateLimitError(APIStatusError):
 
 class InternalServerError(APIStatusError):
     pass
+
+
+class LengthFinishReasonError(WriterError):
+    completion: ChatCompletion
+    """The completion that caused this error.
+    Note: this will *not* be a complete `ChatCompletion` object when streaming as `usage`
+          will not be included.
+    """
+
+    def __init__(self, *, completion: ChatCompletion) -> None:
+        msg = "Could not parse response content as the length limit was reached"
+        if completion.usage:
+            msg += f" - {completion.usage}"
+
+        super().__init__(msg)
+        self.completion = completion
+
+
+class ContentFilterFinishReasonError(WriterError):
+    def __init__(self) -> None:
+        super().__init__(
+            f"Could not parse response content as the request was rejected by the content filter",
+        )
diff --git a/src/writerai/_models.py b/src/writerai/_models.py
index 2084439d..4528004c 100644
--- a/src/writerai/_models.py
+++ b/src/writerai/_models.py
@@ -66,7 +66,7 @@
 from ._constants import RAW_RESPONSE_HEADER
 
 if TYPE_CHECKING:
-    from pydantic_core.core_schema import ModelField, LiteralSchema, ModelFieldsSchema
+    from pydantic_core.core_schema import ModelField, ModelSchema, LiteralSchema, ModelFieldsSchema
 
 __all__ = ["BaseModel", "GenericModel"]
 
@@ -647,15 +647,18 @@ def _build_discriminated_union_meta(*, union: type, meta_annotations: tuple[Any,
 
 def _extract_field_schema_pv2(model: type[BaseModel], field_name: str) -> ModelField | None:
     schema = model.__pydantic_core_schema__
+    if schema["type"] == "definitions":
+        schema = schema["schema"]
+
     if schema["type"] != "model":
         return None
 
+    schema = cast("ModelSchema", schema)
     fields_schema = schema["schema"]
     if fields_schema["type"] != "model-fields":
         return None
 
     fields_schema = cast("ModelFieldsSchema", fields_schema)
-
     field = fields_schema["fields"].get(field_name)
     if not field:
         return None
@@ -679,7 +682,7 @@ def set_pydantic_config(typ: Any, config: pydantic.ConfigDict) -> None:
     setattr(typ, "__pydantic_config__", config)  # noqa: B010
 
 
-# our use of subclasssing here causes weirdness for type checkers,
+# our use of subclassing here causes weirdness for type checkers,
 # so we just pretend that we don't subclass
 if TYPE_CHECKING:
     GenericModel = BaseModel
diff --git a/src/writerai/_utils/_transform.py b/src/writerai/_utils/_transform.py
index 18afd9d8..7ac2e17f 100644
--- a/src/writerai/_utils/_transform.py
+++ b/src/writerai/_utils/_transform.py
@@ -126,7 +126,7 @@ def _get_annotated_type(type_: type) -> type | None:
 def _maybe_transform_key(key: str, type_: type) -> str:
     """Transform the given `data` based on the annotations provided in `type_`.
 
-    Note: this function only looks at `Annotated` types that contain `PropertInfo` metadata.
+    Note: this function only looks at `Annotated` types that contain `PropertyInfo` metadata.
     """
     annotated_type = _get_annotated_type(type_)
     if annotated_type is None:
diff --git a/src/writerai/_version.py b/src/writerai/_version.py
index a7140c47..ff36ac1c 100644
--- a/src/writerai/_version.py
+++ b/src/writerai/_version.py
@@ -1,4 +1,4 @@
 # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
 __title__ = "writerai"
-__version__ = "2.0.0"  # x-release-please-version
+__version__ = "2.1.0-rc1"  # x-release-please-version
diff --git a/src/writerai/lib/__init__.py b/src/writerai/lib/__init__.py
new file mode 100644
index 00000000..5c6cb782
--- /dev/null
+++ b/src/writerai/lib/__init__.py
@@ -0,0 +1,2 @@
+from ._tools import pydantic_function_tool as pydantic_function_tool
+from ._parsing import ResponseFormatT as ResponseFormatT
diff --git a/src/writerai/lib/_parsing/__init__.py b/src/writerai/lib/_parsing/__init__.py
new file mode 100644
index 00000000..4d454c3a
--- /dev/null
+++ b/src/writerai/lib/_parsing/__init__.py
@@ -0,0 +1,12 @@
+from ._completions import (
+    ResponseFormatT as ResponseFormatT,
+    has_parseable_input,
+    has_parseable_input as has_parseable_input,
+    maybe_parse_content as maybe_parse_content,
+    validate_input_tools as validate_input_tools,
+    parse_chat_completion as parse_chat_completion,
+    get_input_tool_by_name as get_input_tool_by_name,
+    solve_response_format_t as solve_response_format_t,
+    parse_function_tool_arguments as parse_function_tool_arguments,
+    type_to_response_format_param as type_to_response_format_param,
+)
diff --git a/src/writerai/lib/_parsing/_completions.py b/src/writerai/lib/_parsing/_completions.py
new file mode 100644
index 00000000..0938f919
--- /dev/null
+++ b/src/writerai/lib/_parsing/_completions.py
@@ -0,0 +1,278 @@
+from __future__ import annotations
+
+import json
+from typing import TYPE_CHECKING, Any, Iterable, cast
+from typing_extensions import TypeVar, TypeGuard, assert_never
+
+import pydantic
+
+from writerai.types.shared_params.tool_param import ToolParam
+
+from .._tools import PydanticFunctionTool
+from ..._types import NOT_GIVEN, NotGiven
+from ..._utils import is_given
+from ..._compat import PYDANTIC_V2, model_parse_json
+from ..._models import construct_type_unchecked
+from .._pydantic import is_basemodel_type, is_dataclass_like_type
+from ..._exceptions import LengthFinishReasonError, ContentFilterFinishReasonError
+from ...types.parsed_chat import (
+    ParsedChatCompletion,
+    ParsedChatCompletionChoice,
+    ParsedChatCompletionMessage,
+)
+from ...types.shared_params import FunctionDefinition
+from ...types.chat_completion import ChatCompletion
+from ...types.shared.tool_call import Function
+from ...types.chat_completion_message import ChatCompletionMessage
+from ...types.parsed_function_tool_call import (
+    ParsedFunction,
+    ParsedFunctionToolCall,
+)
+
+ResponseFormatT = TypeVar(
+    "ResponseFormatT",
+    # if it isn't given then we don't do any parsing
+    default=None,
+)
+_default_response_format: None = None
+
+
+def validate_input_tools(
+    tools: Iterable[ToolParam] | NotGiven = NOT_GIVEN,
+) -> None:
+    if not is_given(tools):
+        return
+
+    for tool in tools:
+        if tool["type"] != "function":
+            raise ValueError(
+                f"Currently only `function` tool types support auto-parsing; Received `{tool['type']}`",
+            )
+
+        strict = tool["function"].get("strict")
+        if strict is not True:
+            raise ValueError(
+                f"`{tool['function']['name']}` is not strict. Only `strict` function tools can be auto-parsed"
+            )
+
+
+def parse_chat_completion(
+    *,
+    # response_format: type[ResponseFormatT] | chat_chat_params.ResponseFormat | NotGiven,
+    response_format: type[ResponseFormatT] | NotGiven,
+    input_tools: Iterable[ToolParam] | NotGiven,
+    chat_completion: ChatCompletion | ParsedChatCompletion[object],
+) -> ParsedChatCompletion[ResponseFormatT]:
+    if is_given(input_tools):
+        input_tools = [t for t in input_tools]
+    else:
+        input_tools = []
+
+    choices: list[ParsedChatCompletionChoice[ResponseFormatT]] = []
+    for choice in chat_completion.choices:
+        if choice.finish_reason == "length":
+            raise LengthFinishReasonError(completion=chat_completion)
+
+        if choice.finish_reason == "content_filter":
+            raise ContentFilterFinishReasonError()
+
+        message = choice.message
+
+        tool_calls: list[ParsedFunctionToolCall] = []
+        if message.tool_calls:
+            for tool_call in message.tool_calls:
+                if tool_call.type == "function":
+                    tool_call_dict = tool_call.to_dict()
+                    tool_calls.append(
+                        construct_type_unchecked(
+                            value={
+                                **tool_call_dict,
+                                "function": {
+                                    **cast(Any, tool_call_dict["function"]),
+                                    "parsed_arguments": parse_function_tool_arguments(
+                                        input_tools=input_tools, function=tool_call.function
+                                    ),
+                                },
+                            },
+                            type_=ParsedFunctionToolCall,
+                        )
+                    )
+                elif TYPE_CHECKING:  # type: ignore[unreachable]
+                    assert_never(tool_call)
+                else:
+                    tool_calls.append(tool_call)
+
+        choices.append(
+            construct_type_unchecked(
+                type_=cast(Any, ParsedChatCompletionChoice)[solve_response_format_t(response_format)],
+                value={
+                    **choice.to_dict(),
+                    "message": {
+                        **message.to_dict(),
+                        "parsed": maybe_parse_content(
+                            response_format=response_format,
+                            message=message,
+                        ),
+                        "tool_calls": tool_calls,
+                    },
+                },
+            )
+        )
+
+    return cast(
+        ParsedChatCompletion[ResponseFormatT],
+        construct_type_unchecked(
+            type_=cast(Any, ParsedChatCompletion)[solve_response_format_t(response_format)],
+            value={
+                **chat_completion.to_dict(),
+                "choices": choices,
+            },
+        ),
+    )
+
+
+def get_input_tool_by_name(*, input_tools: list[ToolParam], name: str) -> ToolParam | None:
+    return next((t for t in input_tools if t.get("function", {}).get("name") == name), None)
+
+
+def parse_function_tool_arguments(*, input_tools: list[ToolParam], function: Function | ParsedFunction) -> object:
+    assert function.name is not None
+    input_tool = get_input_tool_by_name(input_tools=input_tools, name=function.name)
+    if not input_tool:
+        return None
+
+    input_fn = cast(object, input_tool.get("function"))
+    if isinstance(input_fn, PydanticFunctionTool):
+        return model_parse_json(input_fn.model, function.arguments)
+
+    input_fn = cast(FunctionDefinition, input_fn)
+
+    if not input_fn.get("strict"):
+        return None
+
+    return json.loads(function.arguments)
+
+
+def maybe_parse_content(
+    *,
+    # response_format: type[ResponseFormatT] | ResponseFormatParam | NotGiven,
+    response_format: type[ResponseFormatT] | NotGiven,
+    message: ChatCompletionMessage | ParsedChatCompletionMessage[object],
+) -> ResponseFormatT | None:
+    if has_rich_response_format(response_format) and message.content and not message.refusal:
+        return _parse_content(response_format, message.content)
+
+    return None
+
+
+def solve_response_format_t(
+    # response_format: type[ResponseFormatT] | ResponseFormatParam | NotGiven,
+    response_format: type[ResponseFormatT] | NotGiven,
+) -> type[ResponseFormatT]:
+    """Return the runtime type for the given response format.
+
+    If no response format is given, or if we won't auto-parse the response format
+    then we default to `None`.
+    """
+    if has_rich_response_format(response_format):
+        return response_format
+
+    return cast("type[ResponseFormatT]", _default_response_format)
+
+
+def has_parseable_input(
+    *,
+    # response_format: type | ResponseFormatParam | NotGiven,
+    response_format: type | NotGiven,
+    input_tools: Iterable[ToolParam] | NotGiven = NOT_GIVEN,
+) -> bool:
+    if has_rich_response_format(response_format):
+        return True
+
+    for input_tool in input_tools or []:
+        if is_parseable_tool(input_tool):
+            return True
+
+    return False
+
+
+def has_rich_response_format(
+    # response_format: type[ResponseFormatT] | ResponseFormatParam | NotGiven,
+    response_format: type[ResponseFormatT] | NotGiven,
+) -> TypeGuard[type[ResponseFormatT]]:
+    if not is_given(response_format):
+        return False
+
+    # if is_response_format_param(response_format):
+    #     return False
+
+    return True
+
+
+# def is_response_format_param(response_format: object) -> TypeGuard[ResponseFormatParam]:
+#     return is_dict(response_format)
+
+
+def is_parseable_tool(input_tool: ToolParam) -> bool:
+    input_fn = cast(object, input_tool.get("function"))
+    if isinstance(input_fn, PydanticFunctionTool):
+        return True
+
+    # FIXME: `strict` currently missing in the schema definition
+    # return cast(FunctionDefinition, input_fn).get("strict") or False
+    return False
+
+
+def _parse_content(response_format: type[ResponseFormatT], content: str) -> ResponseFormatT:
+    if is_basemodel_type(response_format):
+        return cast(ResponseFormatT, model_parse_json(response_format, content))
+
+    if is_dataclass_like_type(response_format):
+        if not PYDANTIC_V2:
+            raise TypeError(f"Non BaseModel types are only supported with Pydantic v2 - {response_format}")
+
+        return pydantic.TypeAdapter(response_format).validate_json(content)
+
+    raise TypeError(f"Unable to automatically parse response format type {response_format}")
+
+
+# def type_to_response_format_param(
+#     response_format: type | completion_create_params.ResponseFormat | NotGiven,
+# ) -> ResponseFormatParam | NotGiven:
+#     if not is_given(response_format):
+#         return NOT_GIVEN
+
+#     if is_response_format_param(response_format):
+#         return response_format
+
+#     # type checkers don't narrow the negation of a `TypeGuard` as it isn't
+#     # a safe default behaviour but we know that at this point the `response_format`
+#     # can only be a `type`
+#     response_format = cast(type, response_format)
+
+#     json_schema_type: type[pydantic.BaseModel] | pydantic.TypeAdapter[Any] | None = None
+
+#     if is_basemodel_type(response_format):
+#         name = response_format.__name__
+#         json_schema_type = response_format
+#     elif is_dataclass_like_type(response_format):
+#         name = response_format.__name__
+#         json_schema_type = pydantic.TypeAdapter(response_format)
+#     else:
+#         raise TypeError(f"Unsupported response_format type - {response_format}")
+
+
+#     return {
+#         "type": "json_schema",
+#         "json_schema": {
+#             "schema": to_strict_json_schema(json_schema_type),
+#             "name": name,
+#             "strict": True,
+#         },
+#     }
+def type_to_response_format_param(
+    response_format: type | NotGiven,
+) -> NotGiven:
+    if is_given(response_format):
+        raise NotImplementedError("Support for response_format is not implemented yet")
+    return NOT_GIVEN
diff --git a/src/writerai/lib/_pydantic.py b/src/writerai/lib/_pydantic.py
new file mode 100644
index 00000000..22c7a1f3
--- /dev/null
+++ b/src/writerai/lib/_pydantic.py
@@ -0,0 +1,150 @@
+from __future__ import annotations
+
+import inspect
+from typing import Any, TypeVar
+from typing_extensions import TypeGuard
+
+import pydantic
+
+from .._types import NOT_GIVEN
+from .._utils import is_dict as _is_dict, is_list
+from .._compat import PYDANTIC_V2, model_json_schema
+
+_T = TypeVar("_T")
+
+
+def to_strict_json_schema(model: type[pydantic.BaseModel] | pydantic.TypeAdapter[Any]) -> dict[str, Any]:
+    if inspect.isclass(model) and is_basemodel_type(model):
+        schema = model_json_schema(model)
+    elif PYDANTIC_V2 and isinstance(model, pydantic.TypeAdapter):
+        schema = model.json_schema()
+    else:
+        raise TypeError(f"Non BaseModel types are only supported with Pydantic v2 - {model}")
+
+    return _ensure_strict_json_schema(schema, path=(), root=schema)
+
+
+def _ensure_strict_json_schema(
+    json_schema: object,
+    *,
+    path: tuple[str, ...],
+    root: dict[str, object],
+) -> dict[str, Any]:
+    """Mutates the given JSON schema to ensure it conforms to the `strict` standard
+    that the API expects.
+    """
+    if not is_dict(json_schema):
+        raise TypeError(f"Expected {json_schema} to be a dictionary; path={path}")
+
+    defs = json_schema.get("$defs")
+    if is_dict(defs):
+        for def_name, def_schema in defs.items():
+            _ensure_strict_json_schema(def_schema, path=(*path, "$defs", def_name), root=root)
+
+    definitions = json_schema.get("definitions")
+    if is_dict(definitions):
+        for definition_name, definition_schema in definitions.items():
+            _ensure_strict_json_schema(definition_schema, path=(*path, "definitions", definition_name), root=root)
+
+    typ = json_schema.get("type")
+    if typ == "object" and "additionalProperties" not in json_schema:
+        json_schema["additionalProperties"] = False
+
+    # object types
+    # { 'type': 'object', 'properties': { 'a':  {...} } }
+    properties = json_schema.get("properties")
+    if is_dict(properties):
+        json_schema["required"] = [prop for prop in properties.keys()]
+        json_schema["properties"] = {
+            key: _ensure_strict_json_schema(prop_schema, path=(*path, "properties", key), root=root)
+            for key, prop_schema in properties.items()
+        }
+
+    # arrays
+    # { 'type': 'array', 'items': {...} }
+    items = json_schema.get("items")
+    if is_dict(items):
+        json_schema["items"] = _ensure_strict_json_schema(items, path=(*path, "items"), root=root)
+
+    # unions
+    any_of = json_schema.get("anyOf")
+    if is_list(any_of):
+        json_schema["anyOf"] = [
+            _ensure_strict_json_schema(variant, path=(*path, "anyOf", str(i)), root=root)
+            for i, variant in enumerate(any_of)
+        ]
+
+    # intersections
+    all_of = json_schema.get("allOf")
+    if is_list(all_of):
+        if len(all_of) == 1:
+            json_schema.update(_ensure_strict_json_schema(all_of[0], path=(*path, "allOf", "0"), root=root))
+            json_schema.pop("allOf")
+        else:
+            json_schema["allOf"] = [
+                _ensure_strict_json_schema(entry, path=(*path, "allOf", str(i)), root=root)
+                for i, entry in enumerate(all_of)
+            ]
+
+    # strip `None` defaults as there's no meaningful distinction here
+    # the schema will still be `nullable` and the model will default
+    # to using `None` anyway
+    if json_schema.get("default", NOT_GIVEN) is None:
+        json_schema.pop("default")
+
+    # we can't use `$ref`s if there are also other properties defined, e.g.
+    # `{"$ref": "...", "description": "my description"}`
+    #
+    # so we unravel the ref
+    # `{"type": "string", "description": "my description"}`
+    ref = json_schema.get("$ref")
+    if ref and has_more_than_n_keys(json_schema, 1):
+        assert isinstance(ref, str), f"Received non-string $ref - {ref}"
+
+        resolved = resolve_ref(root=root, ref=ref)
+        if not is_dict(resolved):
+            raise ValueError(f"Expected `$ref: {ref}` to resolved to a dictionary but got {resolved}")
+
+        # properties from the json schema take priority over the ones on the `$ref`
+        json_schema.update({**resolved, **json_schema})
+        json_schema.pop("$ref")
+
+    return json_schema
+
+
+def resolve_ref(*, root: dict[str, object], ref: str) -> object:
+    if not ref.startswith("#/"):
+        raise ValueError(f"Unexpected $ref format {ref!r}; Does not start with #/")
+
+    path = ref[2:].split("/")
+    resolved = root
+    for key in path:
+        value = resolved[key]
+        assert is_dict(value), f"encountered non-dictionary entry while resolving {ref} - {resolved}"
+        resolved = value
+
+    return resolved
+
+
+def is_basemodel_type(typ: type) -> TypeGuard[type[pydantic.BaseModel]]:
+    return issubclass(typ, pydantic.BaseModel)
+
+
+def is_dataclass_like_type(typ: type) -> bool:
+    """Returns True if the given type likely used `@pydantic.dataclass`"""
+    return hasattr(typ, "__pydantic_config__")
+
+
+def is_dict(obj: object) -> TypeGuard[dict[str, object]]:
+    # just pretend that we know there are only `str` keys
+    # as that check is not worth the performance cost
+    return _is_dict(obj)
+
+
+def has_more_than_n_keys(obj: dict[str, object], n: int) -> bool:
+    i = 0
+    for _ in obj.keys():
+        i += 1
+        if i > n:
+            return True
+    return False
diff --git a/src/writerai/lib/_tools.py b/src/writerai/lib/_tools.py
new file mode 100644
index 00000000..a7b1ccac
--- /dev/null
+++ b/src/writerai/lib/_tools.py
@@ -0,0 +1,54 @@
+from __future__ import annotations
+
+from typing import Any, Dict, cast
+
+import pydantic
+
+from ._pydantic import to_strict_json_schema
+from ..types.shared_params import ToolParam, FunctionDefinition
+
+
+class PydanticFunctionTool(Dict[str, Any]):
+    """Dictionary wrapper so we can pass the given base model
+    throughout the entire request stack without having to special
+    case it.
+    """
+
+    model: type[pydantic.BaseModel]
+
+    def __init__(self, defn: FunctionDefinition, model: type[pydantic.BaseModel]) -> None:
+        super().__init__(defn)
+        self.model = model
+
+    def cast(self) -> FunctionDefinition:
+        return cast(FunctionDefinition, self)
+
+
+def pydantic_function_tool(
+    model: type[pydantic.BaseModel],
+    *,
+    name: str | None = None,  # inferred from class name by default
+    description: str | None = None,  # inferred from class docstring by default
+) -> ToolParam:
+    if description is None:
+        # note: we intentionally don't use `.getdoc()` to avoid
+        # including pydantic's docstrings
+        description = model.__doc__
+
+    function = PydanticFunctionTool(
+        {
+            "name": name or model.__name__,
+            # FIXME: `strict` currently missing in the schema definition
+            # "strict": True,
+            "parameters": to_strict_json_schema(model),
+        },
+        model,
+    ).cast()
+
+    if description is not None:
+        function["description"] = description
+
+    return {
+        "type": "function",
+        "function": function,
+    }
diff --git a/src/writerai/lib/streaming/__init__.py b/src/writerai/lib/streaming/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/src/writerai/lib/streaming/_deltas.py b/src/writerai/lib/streaming/_deltas.py
new file mode 100644
index 00000000..7e750823
--- /dev/null
+++ b/src/writerai/lib/streaming/_deltas.py
@@ -0,0 +1,64 @@
+from __future__ import annotations
+
+from ..._utils import is_dict, is_list
+
+
+def accumulate_delta(acc: dict[object, object], delta: dict[object, object]) -> dict[object, object]:
+    for key, delta_value in delta.items():
+        if key not in acc:
+            acc[key] = delta_value
+            continue
+
+        acc_value = acc[key]
+        if acc_value is None:
+            acc[key] = delta_value
+            continue
+
+        # the `index` property is used in arrays of objects so it should
+        # not be accumulated like other values e.g.
+        # [{'foo': 'bar', 'index': 0}]
+        #
+        # the same applies to `type` properties as they're used for
+        # discriminated unions
+        if key == "index" or key == "type" or key == "role":
+            acc[key] = delta_value
+            continue
+
+        if isinstance(acc_value, str) and isinstance(delta_value, str):
+            acc_value += delta_value
+        elif isinstance(acc_value, (int, float)) and isinstance(delta_value, (int, float)):
+            acc_value += delta_value
+        elif is_dict(acc_value) and is_dict(delta_value):
+            acc_value = accumulate_delta(acc_value, delta_value)
+        elif is_list(acc_value) and is_list(delta_value):
+            # for lists of non-dictionary items we'll only ever get new entries
+            # in the array, existing entries will never be changed
+            if all(isinstance(x, (str, int, float)) for x in acc_value):
+                acc_value.extend(delta_value)
+                continue
+
+            for delta_entry in delta_value:
+                if not is_dict(delta_entry):
+                    raise TypeError(f"Unexpected list delta entry is not a dictionary: {delta_entry}")
+
+                try:
+                    index = delta_entry["index"]
+                except KeyError as exc:
+                    raise RuntimeError(f"Expected list delta entry to have an `index` key; {delta_entry}") from exc
+
+                if not isinstance(index, int):
+                    raise TypeError(f"Unexpected, list delta entry `index` value is not an integer; {index}")
+
+                try:
+                    acc_entry = acc_value[index]
+                except IndexError:
+                    acc_value.insert(index, delta_entry)
+                else:
+                    if not is_dict(acc_entry):
+                        raise TypeError("not handled yet")
+
+                    acc_value[index] = accumulate_delta(acc_entry, delta_entry)
+
+        acc[key] = acc_value
+
+    return acc
diff --git a/src/writerai/lib/streaming/chat/__init__.py b/src/writerai/lib/streaming/chat/__init__.py
new file mode 100644
index 00000000..c5739784
--- /dev/null
+++ b/src/writerai/lib/streaming/chat/__init__.py
@@ -0,0 +1,26 @@
+from ._types import (
+    ParsedChatCompletionSnapshot as ParsedChatCompletionSnapshot,
+    ParsedChatCompletionChoiceSnapshot as ParsedChatCompletionChoiceSnapshot,
+    ParsedChatCompletionMessageSnapshot as ParsedChatCompletionMessageSnapshot,
+)
+from ._events import (
+    ChunkEvent as ChunkEvent,
+    ContentDoneEvent as ContentDoneEvent,
+    RefusalDoneEvent as RefusalDoneEvent,
+    ContentDeltaEvent as ContentDeltaEvent,
+    RefusalDeltaEvent as RefusalDeltaEvent,
+    LogprobsContentDoneEvent as LogprobsContentDoneEvent,
+    LogprobsRefusalDoneEvent as LogprobsRefusalDoneEvent,
+    ChatCompletionStreamEvent as ChatCompletionStreamEvent,
+    LogprobsContentDeltaEvent as LogprobsContentDeltaEvent,
+    LogprobsRefusalDeltaEvent as LogprobsRefusalDeltaEvent,
+    ParsedChatCompletionSnapshot as ParsedChatCompletionSnapshot,
+    FunctionToolCallArgumentsDoneEvent as FunctionToolCallArgumentsDoneEvent,
+    FunctionToolCallArgumentsDeltaEvent as FunctionToolCallArgumentsDeltaEvent,
+)
+from ._completions import (
+    ChatCompletionStream as ChatCompletionStream,
+    AsyncChatCompletionStream as AsyncChatCompletionStream,
+    ChatCompletionStreamManager as ChatCompletionStreamManager,
+    AsyncChatCompletionStreamManager as AsyncChatCompletionStreamManager,
+)
diff --git a/src/writerai/lib/streaming/chat/_completions.py b/src/writerai/lib/streaming/chat/_completions.py
new file mode 100644
index 00000000..8015f5eb
--- /dev/null
+++ b/src/writerai/lib/streaming/chat/_completions.py
@@ -0,0 +1,741 @@
+from __future__ import annotations
+
+import inspect
+from types import TracebackType
+from typing import TYPE_CHECKING, Any, Generic, Callable, Iterable, Awaitable, AsyncIterator, cast
+from typing_extensions import Self, Iterator, assert_never
+
+from jiter import from_json
+
+from ._types import (
+    ParsedChatCompletionSnapshot,
+    ParsedChatCompletionChoiceSnapshot,
+    ParsedChatCompletionMessageSnapshot,
+)
+from ._events import (
+    ChunkEvent,
+    ContentDoneEvent,
+    RefusalDoneEvent,
+    ContentDeltaEvent,
+    RefusalDeltaEvent,
+    LogprobsContentDoneEvent,
+    LogprobsRefusalDoneEvent,
+    ChatCompletionStreamEvent,
+    LogprobsContentDeltaEvent,
+    LogprobsRefusalDeltaEvent,
+    FunctionToolCallArgumentsDoneEvent,
+    FunctionToolCallArgumentsDeltaEvent,
+)
+from .._deltas import accumulate_delta
+from ...._types import NOT_GIVEN, IncEx, NotGiven
+from ...._utils import is_given, consume_sync_iterator, consume_async_iterator
+from ...._compat import model_dump
+from ...._models import build, construct_type
+from ..._parsing import (
+    ResponseFormatT,
+    has_parseable_input,
+    maybe_parse_content,
+    parse_chat_completion,
+    get_input_tool_by_name,
+    solve_response_format_t,
+    parse_function_tool_arguments,
+)
+from ...._streaming import Stream, AsyncStream
+from ...._exceptions import LengthFinishReasonError, ContentFilterFinishReasonError
+from ....types.parsed_chat import ParsedChatCompletion
+from ....types.shared_params import ToolParam
+from ....types.shared.logprobs import Logprobs
+from ....types.chat_completion_chunk import Choice as ChoiceChunk, ChatCompletionChunk
+
+
+class ChatCompletionStream(Generic[ResponseFormatT]):
+    """Wrapper over the Chat Completions streaming API that adds helpful
+    events such as `content.done`, supports automatically parsing
+    responses and tool calls and accumulates a `ChatCompletion` object
+    from each individual chunk.
+    """
+
+    def __init__(
+        self,
+        *,
+        raw_stream: Stream[ChatCompletionChunk],
+        # response_format: type[ResponseFormatT] | ResponseFormatParam | NotGiven,
+        response_format: type[ResponseFormatT] | NotGiven,
+        input_tools: Iterable[ToolParam] | NotGiven,
+    ) -> None:
+        self._raw_stream = raw_stream
+        self._response = raw_stream.response
+        self._iterator = self.__stream__()
+        self._state = ChatCompletionStreamState(response_format=response_format, input_tools=input_tools)
+
+    def __next__(self) -> ChatCompletionStreamEvent[ResponseFormatT]:
+        return self._iterator.__next__()
+
+    def __iter__(self) -> Iterator[ChatCompletionStreamEvent[ResponseFormatT]]:
+        for item in self._iterator:
+            yield item
+
+    def __enter__(self) -> Self:
+        return self
+
+    def __exit__(
+        self,
+        exc_type: type[BaseException] | None,
+        exc: BaseException | None,
+        exc_tb: TracebackType | None,
+    ) -> None:
+        self.close()
+
+    def close(self) -> None:
+        """
+        Close the response and release the connection.
+
+        Automatically called if the response body is read to completion.
+        """
+        self._response.close()
+
+    def get_final_completion(self) -> ParsedChatCompletion[ResponseFormatT]:
+        """Waits until the stream has been read to completion and returns
+        the accumulated `ParsedChatCompletion` object.
+
+        If you passed a class type to `.stream()`, the `completion.choices[0].message.parsed`
+        property will be the content deserialised into that class, if there was any content returned
+        by the API.
+        """
+        self.until_done()
+        return self._state.get_final_completion()
+
+    def until_done(self) -> Self:
+        """Blocks until the stream has been consumed."""
+        consume_sync_iterator(self)
+        return self
+
+    @property
+    def current_completion_snapshot(self) -> ParsedChatCompletionSnapshot:
+        return self._state.current_completion_snapshot
+
+    def __stream__(self) -> Iterator[ChatCompletionStreamEvent[ResponseFormatT]]:
+        for sse_event in self._raw_stream:
+            events_to_fire = self._state.handle_chunk(sse_event)
+            for event in events_to_fire:
+                yield event
+
+
+class ChatCompletionStreamManager(Generic[ResponseFormatT]):
+    """Context manager over a `ChatCompletionStream` that is returned by `.stream()`.
+
+    This context manager ensures the response cannot be leaked if you don't read
+    the stream to completion.
+
+    Usage:
+    ```py
+    with client.chat.stream(...) as stream:
+        for event in stream:
+            ...
+    ```
+    """
+
+    def __init__(
+        self,
+        api_request: Callable[[], Stream[ChatCompletionChunk]],
+        *,
+        # response_format: type[ResponseFormatT] | ResponseFormatParam | NotGiven,
+        response_format: type[ResponseFormatT] | NotGiven,
+        input_tools: Iterable[ToolParam] | NotGiven,
+    ) -> None:
+        self.__stream: ChatCompletionStream[ResponseFormatT] | None = None
+        self.__api_request = api_request
+        self.__response_format = response_format
+        self.__input_tools = input_tools
+
+    def __enter__(self) -> ChatCompletionStream[ResponseFormatT]:
+        raw_stream = self.__api_request()
+
+        self.__stream = ChatCompletionStream(
+            raw_stream=raw_stream,
+            response_format=self.__response_format,
+            input_tools=self.__input_tools,
+        )
+
+        return self.__stream
+
+    def __exit__(
+        self,
+        exc_type: type[BaseException] | None,
+        exc: BaseException | None,
+        exc_tb: TracebackType | None,
+    ) -> None:
+        if self.__stream is not None:
+            self.__stream.close()
+
+
+class AsyncChatCompletionStream(Generic[ResponseFormatT]):
+    """Wrapper over the Chat Completions streaming API that adds helpful
+    events such as `content.done`, supports automatically parsing
+    responses and tool calls and accumulates a `ChatCompletion` object
+    from each individual chunk.
+    """
+
+    def __init__(
+        self,
+        *,
+        raw_stream: AsyncStream[ChatCompletionChunk],
+        # response_format: type[ResponseFormatT] | ResponseFormatParam | NotGiven,
+        response_format: type[ResponseFormatT] | NotGiven,
+        input_tools: Iterable[ToolParam] | NotGiven,
+    ) -> None:
+        self._raw_stream = raw_stream
+        self._response = raw_stream.response
+        self._iterator = self.__stream__()
+        self._state = ChatCompletionStreamState(response_format=response_format, input_tools=input_tools)
+
+    async def __anext__(self) -> ChatCompletionStreamEvent[ResponseFormatT]:
+        return await self._iterator.__anext__()
+
+    async def __aiter__(self) -> AsyncIterator[ChatCompletionStreamEvent[ResponseFormatT]]:
+        async for item in self._iterator:
+            yield item
+
+    async def __aenter__(self) -> Self:
+        return self
+
+    async def __aexit__(
+        self,
+        exc_type: type[BaseException] | None,
+        exc: BaseException | None,
+        exc_tb: TracebackType | None,
+    ) -> None:
+        await self.close()
+
+    async def close(self) -> None:
+        """
+        Close the response and release the connection.
+
+        Automatically called if the response body is read to completion.
+        """
+        await self._response.aclose()
+
+    async def get_final_completion(self) -> ParsedChatCompletion[ResponseFormatT]:
+        """Waits until the stream has been read to completion and returns
+        the accumulated `ParsedChatCompletion` object.
+
+        If you passed a class type to `.stream()`, the `completion.choices[0].message.parsed`
+        property will be the content deserialised into that class, if there was any content returned
+        by the API.
+        """
+        await self.until_done()
+        return self._state.get_final_completion()
+
+    async def until_done(self) -> Self:
+        """Blocks until the stream has been consumed."""
+        await consume_async_iterator(self)
+        return self
+
+    @property
+    def current_completion_snapshot(self) -> ParsedChatCompletionSnapshot:
+        return self._state.current_completion_snapshot
+
+    async def __stream__(self) -> AsyncIterator[ChatCompletionStreamEvent[ResponseFormatT]]:
+        async for sse_event in self._raw_stream:
+            events_to_fire = self._state.handle_chunk(sse_event)
+            for event in events_to_fire:
+                yield event
+
+
+class AsyncChatCompletionStreamManager(Generic[ResponseFormatT]):
+    """Context manager over a `AsyncChatCompletionStream` that is returned by `.stream()`.
+
+    This context manager ensures the response cannot be leaked if you don't read
+    the stream to completion.
+
+    Usage:
+    ```py
+    async with client.chat.stream(...) as stream:
+        for event in stream:
+            ...
+    ```
+    """
+
+    def __init__(
+        self,
+        api_request: Awaitable[AsyncStream[ChatCompletionChunk]],
+        *,
+        # response_format: type[ResponseFormatT] | ResponseFormatParam | NotGiven,
+        response_format: type[ResponseFormatT] | NotGiven,
+        input_tools: Iterable[ToolParam] | NotGiven,
+    ) -> None:
+        self.__stream: AsyncChatCompletionStream[ResponseFormatT] | None = None
+        self.__api_request = api_request
+        self.__response_format = response_format
+        self.__input_tools = input_tools
+
+    async def __aenter__(self) -> AsyncChatCompletionStream[ResponseFormatT]:
+        raw_stream = await self.__api_request
+
+        self.__stream = AsyncChatCompletionStream(
+            raw_stream=raw_stream,
+            response_format=self.__response_format,
+            input_tools=self.__input_tools,
+        )
+
+        return self.__stream
+
+    async def __aexit__(
+        self,
+        exc_type: type[BaseException] | None,
+        exc: BaseException | None,
+        exc_tb: TracebackType | None,
+    ) -> None:
+        if self.__stream is not None:
+            await self.__stream.close()
+
+
+class ChatCompletionStreamState(Generic[ResponseFormatT]):
+    def __init__(
+        self,
+        *,
+        input_tools: Iterable[ToolParam] | NotGiven,
+        # response_format: type[ResponseFormatT] | ResponseFormatParam | NotGiven,
+        response_format: type[ResponseFormatT] | NotGiven,
+    ) -> None:
+        self.__current_completion_snapshot: ParsedChatCompletionSnapshot | None = None
+        self.__choice_event_states: list[ChoiceEventState] = []
+
+        self._input_tools = [tool for tool in input_tools] if is_given(input_tools) else []
+        self._response_format = response_format
+        self._rich_response_format: type | NotGiven = response_format if inspect.isclass(response_format) else NOT_GIVEN
+
+    def get_final_completion(self) -> ParsedChatCompletion[ResponseFormatT]:
+        return parse_chat_completion(
+            chat_completion=self.current_completion_snapshot,
+            response_format=self._rich_response_format,
+            input_tools=self._input_tools,
+        )
+
+    @property
+    def current_completion_snapshot(self) -> ParsedChatCompletionSnapshot:
+        assert self.__current_completion_snapshot is not None
+        return self.__current_completion_snapshot
+
+    def handle_chunk(self, chunk: ChatCompletionChunk) -> list[ChatCompletionStreamEvent[ResponseFormatT]]:
+        """Accumulate a new chunk into the snapshot and returns a list of events to yield."""
+        self.__current_completion_snapshot = self._accumulate_chunk(chunk)
+
+        return self._build_events(
+            chunk=chunk,
+            completion_snapshot=self.__current_completion_snapshot,
+        )
+
+    def _get_choice_state(self, choice: ChoiceChunk) -> ChoiceEventState:
+        try:
+            return self.__choice_event_states[choice.index]
+        except IndexError:
+            choice_state = ChoiceEventState(input_tools=self._input_tools)
+            self.__choice_event_states.append(choice_state)
+            return choice_state
+
+    def _accumulate_chunk(self, chunk: ChatCompletionChunk) -> ParsedChatCompletionSnapshot:
+        completion_snapshot = self.__current_completion_snapshot
+
+        if completion_snapshot is None:
+            return _convert_initial_chunk_into_snapshot(chunk)
+
+        for choice in chunk.choices:
+            try:
+                choice_snapshot = completion_snapshot.choices[choice.index]
+                previous_tool_calls = choice_snapshot.message.tool_calls or []
+
+                choice_snapshot.message = cast(
+                    ParsedChatCompletionMessageSnapshot,
+                    construct_type(
+                        type_=ParsedChatCompletionMessageSnapshot,
+                        value=accumulate_delta(
+                            cast(
+                                "dict[object, object]",
+                                model_dump(
+                                    choice_snapshot.message,
+                                    # we don't want to serialise / deserialise our custom properties
+                                    # as they won't appear in the delta and we don't want to have to
+                                    # continuously reparse the content
+                                    exclude=cast(
+                                        # cast required as mypy isn't smart enough to infer `True` here to `Literal[True]`
+                                        IncEx,
+                                        {
+                                            "parsed": True,
+                                            "tool_calls": {
+                                                idx: {"function": {"parsed_arguments": True}}
+                                                for idx, _ in enumerate(choice_snapshot.message.tool_calls or [])
+                                            },
+                                        },
+                                    ),
+                                ),
+                            ),
+                            cast("dict[object, object]", choice.delta.to_dict()),
+                        ),
+                    ),
+                )
+
+                # ensure tools that have already been parsed are added back into the newly
+                # constructed message snapshot
+                for tool_index, prev_tool in enumerate(previous_tool_calls):
+                    new_tool = (choice_snapshot.message.tool_calls or [])[tool_index]
+
+                    if prev_tool.type == "function":
+                        assert new_tool.type == "function"
+                        new_tool.function.parsed_arguments = prev_tool.function.parsed_arguments
+                    elif TYPE_CHECKING:  # type: ignore[unreachable]
+                        assert_never(prev_tool)
+            except IndexError:
+                choice_snapshot = cast(
+                    ParsedChatCompletionChoiceSnapshot,
+                    construct_type(
+                        type_=ParsedChatCompletionChoiceSnapshot,
+                        value={
+                            **choice.model_dump(exclude_unset=True, exclude={"delta"}),
+                            "message": choice.delta.to_dict(),
+                        },
+                    ),
+                )
+                completion_snapshot.choices.append(choice_snapshot)
+
+            if choice.finish_reason:
+                choice_snapshot.finish_reason = choice.finish_reason
+
+                if has_parseable_input(response_format=self._response_format, input_tools=self._input_tools):
+                    if choice.finish_reason == "length":
+                        # at the time of writing, `.usage` will always be `None` but
+                        # we include it here in case that is changed in the future
+                        raise LengthFinishReasonError(completion=completion_snapshot)
+
+                    if choice.finish_reason == "content_filter":
+                        raise ContentFilterFinishReasonError()
+
+            if (
+                choice_snapshot.message.content
+                and not choice_snapshot.message.refusal
+                and is_given(self._rich_response_format)
+            ):
+                choice_snapshot.message.parsed = from_json(
+                    bytes(choice_snapshot.message.content, "utf-8"),
+                    partial_mode=True,
+                )
+
+            for tool_call_chunk in choice.delta.tool_calls or []:
+                tool_call_snapshot = (choice_snapshot.message.tool_calls or [])[tool_call_chunk.index]
+
+                if tool_call_snapshot.type == "function":
+                    assert tool_call_snapshot.function.name is not None
+                    input_tool = get_input_tool_by_name(
+                        input_tools=self._input_tools, name=tool_call_snapshot.function.name
+                    )
+
+                    if (
+                        input_tool
+                        and input_tool.get("function", {}).get("strict")
+                        and tool_call_snapshot.function.arguments
+                    ):
+                        tool_call_snapshot.function.parsed_arguments = from_json(
+                            bytes(tool_call_snapshot.function.arguments, "utf-8"),
+                            partial_mode=True,
+                        )
+                elif TYPE_CHECKING:  # type: ignore[unreachable]
+                    assert_never(tool_call_snapshot)
+
+            if choice.logprobs is not None:
+                if choice_snapshot.logprobs is None:
+                    choice_snapshot.logprobs = build(
+                        Logprobs,
+                        content=choice.logprobs.content,
+                        refusal=choice.logprobs.refusal,
+                    )
+                else:
+                    if choice.logprobs.content:
+                        if choice_snapshot.logprobs.content is None:
+                            choice_snapshot.logprobs.content = []
+
+                        choice_snapshot.logprobs.content.extend(choice.logprobs.content)
+
+                    if choice.logprobs.refusal:
+                        if choice_snapshot.logprobs.refusal is None:
+                            choice_snapshot.logprobs.refusal = []
+
+                        choice_snapshot.logprobs.refusal.extend(choice.logprobs.refusal)
+
+        completion_snapshot.usage = chunk.usage
+        completion_snapshot.system_fingerprint = chunk.system_fingerprint
+
+        return completion_snapshot
+
+    def _build_events(
+        self,
+        *,
+        chunk: ChatCompletionChunk,
+        completion_snapshot: ParsedChatCompletionSnapshot,
+    ) -> list[ChatCompletionStreamEvent[ResponseFormatT]]:
+        events_to_fire: list[ChatCompletionStreamEvent[ResponseFormatT]] = []
+
+        events_to_fire.append(
+            build(ChunkEvent, type="chunk", chunk=chunk, snapshot=completion_snapshot),
+        )
+
+        for choice in chunk.choices:
+            choice_state = self._get_choice_state(choice)
+            choice_snapshot = completion_snapshot.choices[choice.index]
+
+            if choice.delta.content is not None and choice_snapshot.message.content:
+                events_to_fire.append(
+                    build(
+                        ContentDeltaEvent,
+                        type="content.delta",
+                        delta=choice.delta.content,
+                        snapshot=choice_snapshot.message.content,
+                        parsed=choice_snapshot.message.parsed,
+                    )
+                )
+
+            if choice.delta.refusal is not None and choice_snapshot.message.refusal is not None:
+                events_to_fire.append(
+                    build(
+                        RefusalDeltaEvent,
+                        type="refusal.delta",
+                        delta=choice.delta.refusal,
+                        snapshot=choice_snapshot.message.refusal,
+                    )
+                )
+
+            if choice.delta.tool_calls:
+                tool_calls = choice_snapshot.message.tool_calls
+                assert tool_calls is not None
+
+                for tool_call_delta in choice.delta.tool_calls:
+                    tool_call = tool_calls[tool_call_delta.index]
+
+                    if tool_call.type == "function":
+                        assert tool_call_delta.function is not None
+                        assert tool_call.function.name is not None
+                        events_to_fire.append(
+                            build(
+                                FunctionToolCallArgumentsDeltaEvent,
+                                type="tool_calls.function.arguments.delta",
+                                name=tool_call.function.name,
+                                index=tool_call_delta.index,
+                                arguments=tool_call.function.arguments,
+                                parsed_arguments=tool_call.function.parsed_arguments,
+                                arguments_delta=tool_call_delta.function.arguments or "",
+                            )
+                        )
+                    elif TYPE_CHECKING:  # type: ignore[unreachable]
+                        assert_never(tool_call)
+
+            if choice.logprobs is not None and choice_snapshot.logprobs is not None:
+                if choice.logprobs.content and choice_snapshot.logprobs.content:
+                    events_to_fire.append(
+                        build(
+                            LogprobsContentDeltaEvent,
+                            type="logprobs.content.delta",
+                            content=choice.logprobs.content,
+                            snapshot=choice_snapshot.logprobs.content,
+                        ),
+                    )
+
+                if choice.logprobs.refusal and choice_snapshot.logprobs.refusal:
+                    events_to_fire.append(
+                        build(
+                            LogprobsRefusalDeltaEvent,
+                            type="logprobs.refusal.delta",
+                            refusal=choice.logprobs.refusal,
+                            snapshot=choice_snapshot.logprobs.refusal,
+                        ),
+                    )
+
+            events_to_fire.extend(
+                choice_state.get_done_events(
+                    choice_chunk=choice,
+                    choice_snapshot=choice_snapshot,
+                    response_format=self._response_format,
+                )
+            )
+
+        return events_to_fire
+
+
+class ChoiceEventState:
+    def __init__(self, *, input_tools: list[ToolParam]) -> None:
+        self._input_tools = input_tools
+
+        self._content_done = False
+        self._refusal_done = False
+        self._logprobs_content_done = False
+        self._logprobs_refusal_done = False
+        self._done_tool_calls: set[int] = set()
+        self.__current_tool_call_index: int | None = None
+
+    def get_done_events(
+        self,
+        *,
+        choice_chunk: ChoiceChunk,
+        choice_snapshot: ParsedChatCompletionChoiceSnapshot,
+        # response_format: type[ResponseFormatT] | ResponseFormatParam | NotGiven,
+        response_format: type[ResponseFormatT] | NotGiven,
+    ) -> list[ChatCompletionStreamEvent[ResponseFormatT]]:
+        events_to_fire: list[ChatCompletionStreamEvent[ResponseFormatT]] = []
+
+        if choice_snapshot.finish_reason:
+            events_to_fire.extend(
+                self._content_done_events(choice_snapshot=choice_snapshot, response_format=response_format)
+            )
+
+            if (
+                self.__current_tool_call_index is not None
+                and self.__current_tool_call_index not in self._done_tool_calls
+            ):
+                self._add_tool_done_event(
+                    events_to_fire=events_to_fire,
+                    choice_snapshot=choice_snapshot,
+                    tool_index=self.__current_tool_call_index,
+                )
+
+        for tool_call in choice_chunk.delta.tool_calls or []:
+            if self.__current_tool_call_index != tool_call.index:
+                events_to_fire.extend(
+                    self._content_done_events(choice_snapshot=choice_snapshot, response_format=response_format)
+                )
+
+                if self.__current_tool_call_index is not None:
+                    self._add_tool_done_event(
+                        events_to_fire=events_to_fire,
+                        choice_snapshot=choice_snapshot,
+                        tool_index=self.__current_tool_call_index,
+                    )
+
+            self.__current_tool_call_index = tool_call.index
+
+        return events_to_fire
+
+    def _content_done_events(
+        self,
+        *,
+        choice_snapshot: ParsedChatCompletionChoiceSnapshot,
+        # response_format: type[ResponseFormatT] | ResponseFormatParam | NotGiven,
+        response_format: type[ResponseFormatT] | NotGiven,
+    ) -> list[ChatCompletionStreamEvent[ResponseFormatT]]:
+        events_to_fire: list[ChatCompletionStreamEvent[ResponseFormatT]] = []
+
+        if choice_snapshot.message.content and not self._content_done:
+            self._content_done = True
+
+            parsed = maybe_parse_content(
+                response_format=response_format,
+                message=choice_snapshot.message,
+            )
+
+            # update the parsed content to now use the richer `response_format`
+            # as opposed to the raw JSON-parsed object as the content is now
+            # complete and can be fully validated.
+            choice_snapshot.message.parsed = parsed
+
+            events_to_fire.append(
+                build(
+                    # we do this dance so that when the `ContentDoneEvent` instance
+                    # is printed at runtime the class name will include the solved
+                    # type variable, e.g. `ContentDoneEvent[MyModelType]`
+                    cast(  # pyright: ignore[reportUnnecessaryCast]
+                        "type[ContentDoneEvent[ResponseFormatT]]",
+                        cast(Any, ContentDoneEvent)[solve_response_format_t(response_format)],
+                    ),
+                    type="content.done",
+                    content=choice_snapshot.message.content,
+                    parsed=parsed,
+                ),
+            )
+
+        if choice_snapshot.message.refusal is not None and not self._refusal_done:
+            self._refusal_done = True
+            events_to_fire.append(
+                build(RefusalDoneEvent, type="refusal.done", refusal=choice_snapshot.message.refusal),
+            )
+
+        if (
+            choice_snapshot.logprobs is not None
+            and choice_snapshot.logprobs.content is not None
+            and not self._logprobs_content_done
+        ):
+            self._logprobs_content_done = True
+            events_to_fire.append(
+                build(LogprobsContentDoneEvent, type="logprobs.content.done", content=choice_snapshot.logprobs.content),
+            )
+
+        if (
+            choice_snapshot.logprobs is not None
+            and choice_snapshot.logprobs.refusal is not None
+            and not self._logprobs_refusal_done
+        ):
+            self._logprobs_refusal_done = True
+            events_to_fire.append(
+                build(LogprobsRefusalDoneEvent, type="logprobs.refusal.done", refusal=choice_snapshot.logprobs.refusal),
+            )
+
+        return events_to_fire
+
+    def _add_tool_done_event(
+        self,
+        *,
+        events_to_fire: list[ChatCompletionStreamEvent[ResponseFormatT]],
+        choice_snapshot: ParsedChatCompletionChoiceSnapshot,
+        tool_index: int,
+    ) -> None:
+        if tool_index in self._done_tool_calls:
+            return
+
+        self._done_tool_calls.add(tool_index)
+
+        assert choice_snapshot.message.tool_calls is not None
+        tool_call_snapshot = choice_snapshot.message.tool_calls[tool_index]
+
+        if tool_call_snapshot.type == "function":
+            parsed_arguments = parse_function_tool_arguments(
+                input_tools=self._input_tools, function=tool_call_snapshot.function
+            )
+
+            # update the parsed content to potentially use a richer type
+            # as opposed to the raw JSON-parsed object as the content is now
+            # complete and can be fully validated.
+            tool_call_snapshot.function.parsed_arguments = parsed_arguments
+
+            assert tool_call_snapshot.function.name is not None
+            events_to_fire.append(
+                build(
+                    FunctionToolCallArgumentsDoneEvent,
+                    type="tool_calls.function.arguments.done",
+                    index=tool_index,
+                    name=tool_call_snapshot.function.name,
+                    arguments=tool_call_snapshot.function.arguments,
+                    parsed_arguments=parsed_arguments,
+                    tool_call_snapshot_id=tool_call_snapshot.id
+                )
+            )
+        elif TYPE_CHECKING:  # type: ignore[unreachable]
+            assert_never(tool_call_snapshot)
+
+
+def _convert_initial_chunk_into_snapshot(chunk: ChatCompletionChunk) -> ParsedChatCompletionSnapshot:
+    data = chunk.to_dict()
+    choices = cast("list[object]", data["choices"])
+
+    for choice in chunk.choices:
+        choices[choice.index] = {
+            **choice.model_dump(exclude_unset=True, exclude={"delta"}),
+            "message": choice.delta.to_dict(),
+        }
+
+    return cast(
+        ParsedChatCompletionSnapshot,
+        construct_type(
+            type_=ParsedChatCompletionSnapshot,
+            value={
+                "system_fingerprint": None,
+                **data,
+                "object": "chat.completion",
+            },
+        ),
+    )
diff --git a/src/writerai/lib/streaming/chat/_events.py b/src/writerai/lib/streaming/chat/_events.py
new file mode 100644
index 00000000..6b4d30e7
--- /dev/null
+++ b/src/writerai/lib/streaming/chat/_events.py
@@ -0,0 +1,126 @@
+from typing import List, Union, Generic, Optional
+from typing_extensions import Literal
+
+from ._types import ParsedChatCompletionSnapshot
+from ...._models import BaseModel, GenericModel
+from ..._parsing import ResponseFormatT
+from ....types.chat_completion_chunk import ChatCompletionChunk
+from ....types.shared.logprobs_token import LogprobsToken
+
+
+class ChunkEvent(BaseModel):
+    type: Literal["chunk"]
+
+    chunk: ChatCompletionChunk
+
+    snapshot: ParsedChatCompletionSnapshot
+
+
+class ContentDeltaEvent(BaseModel):
+    """This event is yielded for every chunk with `choice.delta.content` data."""
+
+    type: Literal["content.delta"]
+
+    delta: str
+
+    snapshot: str
+
+    parsed: Optional[object] = None
+
+
+class ContentDoneEvent(GenericModel, Generic[ResponseFormatT]):
+    type: Literal["content.done"]
+
+    content: str
+
+    parsed: Optional[ResponseFormatT] = None
+
+
+class RefusalDeltaEvent(BaseModel):
+    type: Literal["refusal.delta"]
+
+    delta: str
+
+    snapshot: str
+
+
+class RefusalDoneEvent(BaseModel):
+    type: Literal["refusal.done"]
+
+    refusal: str
+
+
+class FunctionToolCallArgumentsDeltaEvent(BaseModel):
+    type: Literal["tool_calls.function.arguments.delta"]
+
+    name: str
+
+    index: int
+
+    arguments: str
+    """Accumulated raw JSON string"""
+
+    parsed_arguments: object
+    """The parsed arguments so far"""
+
+    arguments_delta: str
+    """The JSON string delta"""
+
+
+class FunctionToolCallArgumentsDoneEvent(BaseModel):
+    type: Literal["tool_calls.function.arguments.done"]
+
+    name: str
+
+    index: int
+
+    tool_call_snapshot_id: str
+
+    arguments: str
+    """Accumulated raw JSON string"""
+
+    parsed_arguments: object
+    """The parsed arguments"""
+
+
+class LogprobsContentDeltaEvent(BaseModel):
+    type: Literal["logprobs.content.delta"]
+
+    content: List[LogprobsToken]
+
+    snapshot: List[LogprobsToken]
+
+
+class LogprobsContentDoneEvent(BaseModel):
+    type: Literal["logprobs.content.done"]
+
+    content: List[LogprobsToken]
+
+
+class LogprobsRefusalDeltaEvent(BaseModel):
+    type: Literal["logprobs.refusal.delta"]
+
+    refusal: List[LogprobsToken]
+
+    snapshot: List[LogprobsToken]
+
+
+class LogprobsRefusalDoneEvent(BaseModel):
+    type: Literal["logprobs.refusal.done"]
+
+    refusal: List[LogprobsToken]
+
+
+ChatCompletionStreamEvent = Union[
+    ChunkEvent,
+    ContentDeltaEvent,
+    ContentDoneEvent[ResponseFormatT],
+    RefusalDeltaEvent,
+    RefusalDoneEvent,
+    FunctionToolCallArgumentsDeltaEvent,
+    FunctionToolCallArgumentsDoneEvent,
+    LogprobsContentDeltaEvent,
+    LogprobsContentDoneEvent,
+    LogprobsRefusalDeltaEvent,
+    LogprobsRefusalDoneEvent,
+]
diff --git a/src/writerai/lib/streaming/chat/_types.py b/src/writerai/lib/streaming/chat/_types.py
new file mode 100644
index 00000000..d85778b8
--- /dev/null
+++ b/src/writerai/lib/streaming/chat/_types.py
@@ -0,0 +1,20 @@
+from __future__ import annotations
+
+from typing_extensions import TypeAlias
+
+from ....types.parsed_chat import ParsedChatCompletion, ParsedChatCompletionChoice, ParsedChatCompletionMessage
+
+ParsedChatCompletionSnapshot: TypeAlias = ParsedChatCompletion[object]
+"""Snapshot type representing an in-progress accumulation of
+a `ParsedChatCompletion` object.
+"""
+
+ParsedChatCompletionMessageSnapshot: TypeAlias = ParsedChatCompletionMessage[object]
+"""Snapshot type representing an in-progress accumulation of
+a `ParsedChatCompletionMessage` object.
+
+If the content has been fully accumulated, the `.parsed` content will be
+the `response_format` instance, otherwise it'll be the raw JSON parsed version.
+"""
+
+ParsedChatCompletionChoiceSnapshot: TypeAlias = ParsedChatCompletionChoice[object]
diff --git a/src/writerai/resources/__init__.py b/src/writerai/resources/__init__.py
index fc4062c7..40417904 100644
--- a/src/writerai/resources/__init__.py
+++ b/src/writerai/resources/__init__.py
@@ -40,6 +40,14 @@
     ModelsResourceWithStreamingResponse,
     AsyncModelsResourceWithStreamingResponse,
 )
+from .vision import (
+    VisionResource,
+    AsyncVisionResource,
+    VisionResourceWithRawResponse,
+    AsyncVisionResourceWithRawResponse,
+    VisionResourceWithStreamingResponse,
+    AsyncVisionResourceWithStreamingResponse,
+)
 from .completions import (
     CompletionsResource,
     AsyncCompletionsResource,
@@ -100,4 +108,10 @@
     "AsyncToolsResourceWithRawResponse",
     "ToolsResourceWithStreamingResponse",
     "AsyncToolsResourceWithStreamingResponse",
+    "VisionResource",
+    "AsyncVisionResource",
+    "VisionResourceWithRawResponse",
+    "AsyncVisionResourceWithRawResponse",
+    "VisionResourceWithStreamingResponse",
+    "AsyncVisionResourceWithStreamingResponse",
 ]
diff --git a/src/writerai/resources/applications.py b/src/writerai/resources/applications.py
new file mode 100644
index 00000000..a9f031fd
--- /dev/null
+++ b/src/writerai/resources/applications.py
@@ -0,0 +1,178 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from __future__ import annotations
+
+from typing import Iterable
+
+import httpx
+
+from ..types import application_generate_content_params
+from .._types import NOT_GIVEN, Body, Query, Headers, NotGiven
+from .._utils import (
+    maybe_transform,
+    async_maybe_transform,
+)
+from .._compat import cached_property
+from .._resource import SyncAPIResource, AsyncAPIResource
+from .._response import (
+    to_raw_response_wrapper,
+    to_streamed_response_wrapper,
+    async_to_raw_response_wrapper,
+    async_to_streamed_response_wrapper,
+)
+from .._base_client import make_request_options
+from ..types.application_generate_content_response import ApplicationGenerateContentResponse
+
+__all__ = ["ApplicationsResource", "AsyncApplicationsResource"]
+
+
+class ApplicationsResource(SyncAPIResource):
+    @cached_property
+    def with_raw_response(self) -> ApplicationsResourceWithRawResponse:
+        """
+        This property can be used as a prefix for any HTTP method call to return the
+        the raw response object instead of the parsed content.
+
+        For more information, see https://www.github.com/writer/writer-python#accessing-raw-response-data-eg-headers
+        """
+        return ApplicationsResourceWithRawResponse(self)
+
+    @cached_property
+    def with_streaming_response(self) -> ApplicationsResourceWithStreamingResponse:
+        """
+        An alternative to `.with_raw_response` that doesn't eagerly read the response body.
+
+        For more information, see https://www.github.com/writer/writer-python#with_streaming_response
+        """
+        return ApplicationsResourceWithStreamingResponse(self)
+
+    def generate_content(
+        self,
+        application_id: str,
+        *,
+        inputs: Iterable[application_generate_content_params.Input],
+        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
+        # The extra values given here take precedence over values defined on the client or passed to this method.
+        extra_headers: Headers | None = None,
+        extra_query: Query | None = None,
+        extra_body: Body | None = None,
+        timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN,
+    ) -> ApplicationGenerateContentResponse:
+        """
+        Generate content from an existing application with inputs.
+
+        Args:
+          extra_headers: Send extra headers
+
+          extra_query: Add additional query parameters to the request
+
+          extra_body: Add additional JSON properties to the request
+
+          timeout: Override the client-level default timeout for this request, in seconds
+        """
+        if not application_id:
+            raise ValueError(f"Expected a non-empty value for `application_id` but received {application_id!r}")
+        return self._post(
+            f"/v1/applications/{application_id}",
+            body=maybe_transform(
+                {"inputs": inputs}, application_generate_content_params.ApplicationGenerateContentParams
+            ),
+            options=make_request_options(
+                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
+            ),
+            cast_to=ApplicationGenerateContentResponse,
+        )
+
+
+class AsyncApplicationsResource(AsyncAPIResource):
+    @cached_property
+    def with_raw_response(self) -> AsyncApplicationsResourceWithRawResponse:
+        """
+        This property can be used as a prefix for any HTTP method call to return the
+        the raw response object instead of the parsed content.
+
+        For more information, see https://www.github.com/writer/writer-python#accessing-raw-response-data-eg-headers
+        """
+        return AsyncApplicationsResourceWithRawResponse(self)
+
+    @cached_property
+    def with_streaming_response(self) -> AsyncApplicationsResourceWithStreamingResponse:
+        """
+        An alternative to `.with_raw_response` that doesn't eagerly read the response body.
+
+        For more information, see https://www.github.com/writer/writer-python#with_streaming_response
+        """
+        return AsyncApplicationsResourceWithStreamingResponse(self)
+
+    async def generate_content(
+        self,
+        application_id: str,
+        *,
+        inputs: Iterable[application_generate_content_params.Input],
+        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
+        # The extra values given here take precedence over values defined on the client or passed to this method.
+        extra_headers: Headers | None = None,
+        extra_query: Query | None = None,
+        extra_body: Body | None = None,
+        timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN,
+    ) -> ApplicationGenerateContentResponse:
+        """
+        Generate content from an existing application with inputs.
+
+        Args:
+          extra_headers: Send extra headers
+
+          extra_query: Add additional query parameters to the request
+
+          extra_body: Add additional JSON properties to the request
+
+          timeout: Override the client-level default timeout for this request, in seconds
+        """
+        if not application_id:
+            raise ValueError(f"Expected a non-empty value for `application_id` but received {application_id!r}")
+        return await self._post(
+            f"/v1/applications/{application_id}",
+            body=await async_maybe_transform(
+                {"inputs": inputs}, application_generate_content_params.ApplicationGenerateContentParams
+            ),
+            options=make_request_options(
+                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
+            ),
+            cast_to=ApplicationGenerateContentResponse,
+        )
+
+
+class ApplicationsResourceWithRawResponse:
+    def __init__(self, applications: ApplicationsResource) -> None:
+        self._applications = applications
+
+        self.generate_content = to_raw_response_wrapper(
+            applications.generate_content,
+        )
+
+
+class AsyncApplicationsResourceWithRawResponse:
+    def __init__(self, applications: AsyncApplicationsResource) -> None:
+        self._applications = applications
+
+        self.generate_content = async_to_raw_response_wrapper(
+            applications.generate_content,
+        )
+
+
+class ApplicationsResourceWithStreamingResponse:
+    def __init__(self, applications: ApplicationsResource) -> None:
+        self._applications = applications
+
+        self.generate_content = to_streamed_response_wrapper(
+            applications.generate_content,
+        )
+
+
+class AsyncApplicationsResourceWithStreamingResponse:
+    def __init__(self, applications: AsyncApplicationsResource) -> None:
+        self._applications = applications
+
+        self.generate_content = async_to_streamed_response_wrapper(
+            applications.generate_content,
+        )
diff --git a/src/writerai/resources/chat.py b/src/writerai/resources/chat.py
index 4edd3bef..b3af9e4a 100644
--- a/src/writerai/resources/chat.py
+++ b/src/writerai/resources/chat.py
@@ -3,6 +3,7 @@
 from __future__ import annotations
 
 from typing import List, Union, Iterable
+from functools import partial
 from typing_extensions import Literal, overload
 
 import httpx
@@ -24,6 +25,8 @@
 )
 from .._streaming import Stream, AsyncStream
 from .._base_client import make_request_options
+from ..lib._parsing import ResponseFormatT
+from ..lib.streaming.chat import ChatCompletionStreamManager, AsyncChatCompletionStreamManager
 from ..types.chat_completion import ChatCompletion
 from ..types.chat_completion_chunk import ChatCompletionChunk
 from ..types.shared_params.tool_param import ToolParam
@@ -115,9 +118,11 @@ def chat(
               automatically choose the best tool, `none` disables tool calling. You can also
               pass a specific previously defined function.
 
-          tools: An array of tools described to the model using JSON schema that the model can
-              use to generate responses. You can define your own functions or use the built-in
-              `graph` or `llm` tools.
+          tools: An array containing tool definitions for tools that the model can use to
+              generate responses. The tool definitions use JSON schema. You can define your
+              own functions or use one of the built-in `graph`, `llm`, or `vision` tools. Note
+              that you can only use one built-in tool type in the array (only one of `graph`,
+              `llm`, or `vision`).
 
           top_p: Sets the threshold for "nucleus sampling," a technique to focus the model's
               token generation on the most likely subset of tokens. Only tokens with
@@ -198,9 +203,11 @@ def chat(
               automatically choose the best tool, `none` disables tool calling. You can also
               pass a specific previously defined function.
 
-          tools: An array of tools described to the model using JSON schema that the model can
-              use to generate responses. You can define your own functions or use the built-in
-              `graph` or `llm` tools.
+          tools: An array containing tool definitions for tools that the model can use to
+              generate responses. The tool definitions use JSON schema. You can define your
+              own functions or use one of the built-in `graph`, `llm`, or `vision` tools. Note
+              that you can only use one built-in tool type in the array (only one of `graph`,
+              `llm`, or `vision`).
 
           top_p: Sets the threshold for "nucleus sampling," a technique to focus the model's
               token generation on the most likely subset of tokens. Only tokens with
@@ -281,9 +288,11 @@ def chat(
               automatically choose the best tool, `none` disables tool calling. You can also
               pass a specific previously defined function.
 
-          tools: An array of tools described to the model using JSON schema that the model can
-              use to generate responses. You can define your own functions or use the built-in
-              `graph` or `llm` tools.
+          tools: An array containing tool definitions for tools that the model can use to
+              generate responses. The tool definitions use JSON schema. You can define your
+              own functions or use one of the built-in `graph`, `llm`, or `vision` tools. Note
+              that you can only use one built-in tool type in the array (only one of `graph`,
+              `llm`, or `vision`).
 
           top_p: Sets the threshold for "nucleus sampling," a technique to focus the model's
               token generation on the most likely subset of tokens. Only tokens with
@@ -350,6 +359,76 @@ def chat(
             stream_cls=Stream[ChatCompletionChunk],
         )
 
+    def stream(
+        self,
+        *,
+        messages: Iterable[chat_chat_params.Message],
+        model: str,
+        logprobs: bool | NotGiven = NOT_GIVEN,
+        max_tokens: int | NotGiven = NOT_GIVEN,
+        n: int | NotGiven = NOT_GIVEN,
+        stop: Union[List[str], str] | NotGiven = NOT_GIVEN,
+        stream_options: chat_chat_params.StreamOptions | NotGiven = NOT_GIVEN,
+        temperature: float | NotGiven = NOT_GIVEN,
+        tool_choice: chat_chat_params.ToolChoice | NotGiven = NOT_GIVEN,
+        tools: Iterable[ToolParam] | NotGiven = NOT_GIVEN,
+        top_p: float | NotGiven = NOT_GIVEN,
+        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
+        # The extra values given here take precedence over values defined on the client or passed to this method.
+        extra_headers: Headers | None = None,
+        extra_query: Query | None = None,
+        extra_body: Body | None = None,
+        timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN,
+    ) -> ChatCompletionStreamManager[ResponseFormatT]:
+        """Wrapper over the `client.chat.chat(stream=True)` method that provides a more granular event API
+        and automatic accumulation of each delta.
+
+        Unlike `.create(stream=True)`, the `.stream()` method requires usage within a context manager to prevent accidental leakage of the response:
+        ```py
+        with client.chat.stream(
+            model="palmyra-x-003-instruct",
+            messages=[...],
+        ) as stream:
+            for event in stream:
+                if event.type == "content.delta":
+                    print(event.delta, flush=True, end="")
+        ```
+
+        When the context manager is entered, a `ChatCompletionStream` instance is returned which, like `.create(stream=True)` is an iterator. The full list of events that are yielded by the iterator are outlined in [these docs](https://github.com/writer/writer-python/blob/main/helpers.md#chat-completions-events).
+
+        When the context manager exits, the response will be closed, however the `stream` instance is still available outside
+        the context manager.
+        """
+        extra_headers = {
+            "X-Stainless-Helper-Method": "chat.stream",
+            **(extra_headers or {}),
+        }
+
+        api_request: partial[Stream[ChatCompletionChunk]] = partial(
+            self._client.chat.chat,
+            messages=messages,
+            model=model,
+            stream=True,
+            logprobs=logprobs,
+            max_tokens=max_tokens,
+            n=n,
+            stop=stop,
+            stream_options=stream_options,
+            temperature=temperature,
+            tool_choice=tool_choice,
+            tools=tools,
+            top_p=top_p,
+            extra_headers=extra_headers,
+            extra_query=extra_query,
+            extra_body=extra_body,
+            timeout=timeout,
+        )
+        return ChatCompletionStreamManager(
+            api_request,
+            response_format=NOT_GIVEN,
+            input_tools=tools,
+        )
+
 
 class AsyncChatResource(AsyncAPIResource):
     @cached_property
@@ -435,9 +514,11 @@ async def chat(
               automatically choose the best tool, `none` disables tool calling. You can also
               pass a specific previously defined function.
 
-          tools: An array of tools described to the model using JSON schema that the model can
-              use to generate responses. You can define your own functions or use the built-in
-              `graph` or `llm` tools.
+          tools: An array containing tool definitions for tools that the model can use to
+              generate responses. The tool definitions use JSON schema. You can define your
+              own functions or use one of the built-in `graph`, `llm`, or `vision` tools. Note
+              that you can only use one built-in tool type in the array (only one of `graph`,
+              `llm`, or `vision`).
 
           top_p: Sets the threshold for "nucleus sampling," a technique to focus the model's
               token generation on the most likely subset of tokens. Only tokens with
@@ -518,9 +599,11 @@ async def chat(
               automatically choose the best tool, `none` disables tool calling. You can also
               pass a specific previously defined function.
 
-          tools: An array of tools described to the model using JSON schema that the model can
-              use to generate responses. You can define your own functions or use the built-in
-              `graph` or `llm` tools.
+          tools: An array containing tool definitions for tools that the model can use to
+              generate responses. The tool definitions use JSON schema. You can define your
+              own functions or use one of the built-in `graph`, `llm`, or `vision` tools. Note
+              that you can only use one built-in tool type in the array (only one of `graph`,
+              `llm`, or `vision`).
 
           top_p: Sets the threshold for "nucleus sampling," a technique to focus the model's
               token generation on the most likely subset of tokens. Only tokens with
@@ -601,9 +684,11 @@ async def chat(
               automatically choose the best tool, `none` disables tool calling. You can also
               pass a specific previously defined function.
 
-          tools: An array of tools described to the model using JSON schema that the model can
-              use to generate responses. You can define your own functions or use the built-in
-              `graph` or `llm` tools.
+          tools: An array containing tool definitions for tools that the model can use to
+              generate responses. The tool definitions use JSON schema. You can define your
+              own functions or use one of the built-in `graph`, `llm`, or `vision` tools. Note
+              that you can only use one built-in tool type in the array (only one of `graph`,
+              `llm`, or `vision`).
 
           top_p: Sets the threshold for "nucleus sampling," a technique to focus the model's
               token generation on the most likely subset of tokens. Only tokens with
@@ -670,6 +755,75 @@ async def chat(
             stream_cls=AsyncStream[ChatCompletionChunk],
         )
 
+    def stream(
+        self,
+        *,
+        messages: Iterable[chat_chat_params.Message],
+        model: str,
+        logprobs: bool | NotGiven = NOT_GIVEN,
+        max_tokens: int | NotGiven = NOT_GIVEN,
+        n: int | NotGiven = NOT_GIVEN,
+        stop: Union[List[str], str] | NotGiven = NOT_GIVEN,
+        stream_options: chat_chat_params.StreamOptions | NotGiven = NOT_GIVEN,
+        temperature: float | NotGiven = NOT_GIVEN,
+        tool_choice: chat_chat_params.ToolChoice | NotGiven = NOT_GIVEN,
+        tools: Iterable[ToolParam] | NotGiven = NOT_GIVEN,
+        top_p: float | NotGiven = NOT_GIVEN,
+        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
+        # The extra values given here take precedence over values defined on the client or passed to this method.
+        extra_headers: Headers | None = None,
+        extra_query: Query | None = None,
+        extra_body: Body | None = None,
+        timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN,
+    ) -> AsyncChatCompletionStreamManager[ResponseFormatT]:
+        """Wrapper over the `client.chat.chat(stream=True)` method that provides a more granular event API
+        and automatic accumulation of each delta.
+
+        Unlike `.create(stream=True)`, the `.stream()` method requires usage within a context manager to prevent accidental leakage of the response:
+        ```py
+        async with client.chat.stream(
+            model="palmyra-x-003-instruct",
+            messages=[...],
+        ) as stream:
+            async for event in stream:
+                if event.type == "content.delta":
+                    print(event.delta, flush=True, end="")
+        ```
+
+        When the context manager is entered, a `AsyncChatCompletionStream` instance is returned which, like `.create(stream=True)` is an async iterator. The full list of events that are yielded by the iterator are outlined in [these docs](https://github.com/writer/writer-python/blob/main/helpers.md#chat-completions-events).
+
+        When the context manager exits, the response will be closed, however the `stream` instance is still available outside
+        the context manager.
+        """
+        extra_headers = {
+            "X-Stainless-Helper-Method": "chat.stream",
+            **(extra_headers or {}),
+        }
+
+        api_request = self._client.chat.chat(
+            messages=messages,
+            model=model,
+            stream=True,
+            logprobs=logprobs,
+            max_tokens=max_tokens,
+            n=n,
+            stop=stop,
+            stream_options=stream_options,
+            temperature=temperature,
+            tool_choice=tool_choice,
+            tools=tools,
+            top_p=top_p,
+            extra_headers=extra_headers,
+            extra_query=extra_query,
+            extra_body=extra_body,
+            timeout=timeout,
+        )
+        return AsyncChatCompletionStreamManager(
+            api_request,
+            response_format=NOT_GIVEN,
+            input_tools=tools,
+        )
+
 
 class ChatResourceWithRawResponse:
     def __init__(self, chat: ChatResource) -> None:
diff --git a/src/writerai/resources/graphs.py b/src/writerai/resources/graphs.py
index b4f3d87f..bd32124b 100644
--- a/src/writerai/resources/graphs.py
+++ b/src/writerai/resources/graphs.py
@@ -358,8 +358,8 @@ def question(
         *,
         graph_ids: List[str],
         question: str,
-        stream: Literal[False],
-        subqueries: bool,
+        stream: Literal[False] | NotGiven = NOT_GIVEN,
+        subqueries: bool | NotGiven = NOT_GIVEN,
         # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
         # The extra values given here take precedence over values defined on the client or passed to this method.
         extra_headers: Headers | None = None,
@@ -398,7 +398,7 @@ def question(
         graph_ids: List[str],
         question: str,
         stream: Literal[True],
-        subqueries: bool,
+        subqueries: bool | NotGiven = NOT_GIVEN,
         # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
         # The extra values given here take precedence over values defined on the client or passed to this method.
         extra_headers: Headers | None = None,
@@ -437,7 +437,7 @@ def question(
         graph_ids: List[str],
         question: str,
         stream: bool,
-        subqueries: bool,
+        subqueries: bool | NotGiven = NOT_GIVEN,
         # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
         # The extra values given here take precedence over values defined on the client or passed to this method.
         extra_headers: Headers | None = None,
@@ -469,14 +469,14 @@ def question(
         """
         ...
 
-    @required_args(["graph_ids", "question", "stream", "subqueries"])
+    @required_args(["graph_ids", "question"], ["graph_ids", "question", "stream"])
     def question(
         self,
         *,
         graph_ids: List[str],
         question: str,
-        stream: Literal[False] | Literal[True],
-        subqueries: bool,
+        stream: Literal[False] | Literal[True] | NotGiven = NOT_GIVEN,
+        subqueries: bool | NotGiven = NOT_GIVEN,
         # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
         # The extra values given here take precedence over values defined on the client or passed to this method.
         extra_headers: Headers | None = None,
@@ -857,8 +857,8 @@ async def question(
         *,
         graph_ids: List[str],
         question: str,
-        stream: Literal[False],
-        subqueries: bool,
+        stream: Literal[False] | NotGiven = NOT_GIVEN,
+        subqueries: bool | NotGiven = NOT_GIVEN,
         # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
         # The extra values given here take precedence over values defined on the client or passed to this method.
         extra_headers: Headers | None = None,
@@ -897,7 +897,7 @@ async def question(
         graph_ids: List[str],
         question: str,
         stream: Literal[True],
-        subqueries: bool,
+        subqueries: bool | NotGiven = NOT_GIVEN,
         # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
         # The extra values given here take precedence over values defined on the client or passed to this method.
         extra_headers: Headers | None = None,
@@ -936,7 +936,7 @@ async def question(
         graph_ids: List[str],
         question: str,
         stream: bool,
-        subqueries: bool,
+        subqueries: bool | NotGiven = NOT_GIVEN,
         # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
         # The extra values given here take precedence over values defined on the client or passed to this method.
         extra_headers: Headers | None = None,
@@ -968,14 +968,14 @@ async def question(
         """
         ...
 
-    @required_args(["graph_ids", "question", "stream", "subqueries"])
+    @required_args(["graph_ids", "question"], ["graph_ids", "question", "stream"])
     async def question(
         self,
         *,
         graph_ids: List[str],
         question: str,
-        stream: Literal[False] | Literal[True],
-        subqueries: bool,
+        stream: Literal[False] | Literal[True] | NotGiven = NOT_GIVEN,
+        subqueries: bool | NotGiven = NOT_GIVEN,
         # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
         # The extra values given here take precedence over values defined on the client or passed to this method.
         extra_headers: Headers | None = None,
diff --git a/src/writerai/resources/vision.py b/src/writerai/resources/vision.py
new file mode 100644
index 00000000..26975788
--- /dev/null
+++ b/src/writerai/resources/vision.py
@@ -0,0 +1,200 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from __future__ import annotations
+
+from typing import Iterable
+
+import httpx
+
+from ..types import vision_analyze_params
+from .._types import NOT_GIVEN, Body, Query, Headers, NotGiven
+from .._utils import (
+    maybe_transform,
+    async_maybe_transform,
+)
+from .._compat import cached_property
+from .._resource import SyncAPIResource, AsyncAPIResource
+from .._response import (
+    to_raw_response_wrapper,
+    to_streamed_response_wrapper,
+    async_to_raw_response_wrapper,
+    async_to_streamed_response_wrapper,
+)
+from .._base_client import make_request_options
+from ..types.vision_response import VisionResponse
+
+__all__ = ["VisionResource", "AsyncVisionResource"]
+
+
+class VisionResource(SyncAPIResource):
+    @cached_property
+    def with_raw_response(self) -> VisionResourceWithRawResponse:
+        """
+        This property can be used as a prefix for any HTTP method call to return
+        the raw response object instead of the parsed content.
+
+        For more information, see https://www.github.com/writer/writer-python#accessing-raw-response-data-eg-headers
+        """
+        return VisionResourceWithRawResponse(self)
+
+    @cached_property
+    def with_streaming_response(self) -> VisionResourceWithStreamingResponse:
+        """
+        An alternative to `.with_raw_response` that doesn't eagerly read the response body.
+
+        For more information, see https://www.github.com/writer/writer-python#with_streaming_response
+        """
+        return VisionResourceWithStreamingResponse(self)
+
+    def analyze(
+        self,
+        *,
+        model: str,
+        prompt: str,
+        variables: Iterable[vision_analyze_params.Variable],
+        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
+        # The extra values given here take precedence over values defined on the client or passed to this method.
+        extra_headers: Headers | None = None,
+        extra_query: Query | None = None,
+        extra_body: Body | None = None,
+        timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN,
+    ) -> VisionResponse:
+        """
+        Submit images and a prompt to generate an analysis of the images.
+
+        Args:
+          model: The model to be used for image analysis. Currently only supports
+              `palmyra-vision`.
+
+          prompt: The prompt to use for the image analysis. The prompt must include the name of
+              each image variable, surrounded by double curly braces (`{{}}`). For example,
+              `Describe the difference between the image {{image_1}} and the image {{image_2}}`.
+
+          extra_headers: Send extra headers
+
+          extra_query: Add additional query parameters to the request
+
+          extra_body: Add additional JSON properties to the request
+
+          timeout: Override the client-level default timeout for this request, in seconds
+        """
+        return self._post(
+            "/v1/vision",
+            body=maybe_transform(
+                {
+                    "model": model,
+                    "prompt": prompt,
+                    "variables": variables,
+                },
+                vision_analyze_params.VisionAnalyzeParams,
+            ),
+            options=make_request_options(
+                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
+            ),
+            cast_to=VisionResponse,
+        )
+
+
+class AsyncVisionResource(AsyncAPIResource):
+    @cached_property
+    def with_raw_response(self) -> AsyncVisionResourceWithRawResponse:
+        """
+        This property can be used as a prefix for any HTTP method call to return
+        the raw response object instead of the parsed content.
+
+        For more information, see https://www.github.com/writer/writer-python#accessing-raw-response-data-eg-headers
+        """
+        return AsyncVisionResourceWithRawResponse(self)
+
+    @cached_property
+    def with_streaming_response(self) -> AsyncVisionResourceWithStreamingResponse:
+        """
+        An alternative to `.with_raw_response` that doesn't eagerly read the response body.
+
+        For more information, see https://www.github.com/writer/writer-python#with_streaming_response
+        """
+        return AsyncVisionResourceWithStreamingResponse(self)
+
+    async def analyze(
+        self,
+        *,
+        model: str,
+        prompt: str,
+        variables: Iterable[vision_analyze_params.Variable],
+        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
+        # The extra values given here take precedence over values defined on the client or passed to this method.
+        extra_headers: Headers | None = None,
+        extra_query: Query | None = None,
+        extra_body: Body | None = None,
+        timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN,
+    ) -> VisionResponse:
+        """
+        Submit images and a prompt to generate an analysis of the images.
+
+        Args:
+          model: The model to be used for image analysis. Currently only supports
+              `palmyra-vision`.
+
+          prompt: The prompt to use for the image analysis. The prompt must include the name of
+              each image variable, surrounded by double curly braces (`{{}}`). For example,
+              `Describe the difference between the image {{image_1}} and the image {{image_2}}`.
+
+          extra_headers: Send extra headers
+
+          extra_query: Add additional query parameters to the request
+
+          extra_body: Add additional JSON properties to the request
+
+          timeout: Override the client-level default timeout for this request, in seconds
+        """
+        return await self._post(
+            "/v1/vision",
+            body=await async_maybe_transform(
+                {
+                    "model": model,
+                    "prompt": prompt,
+                    "variables": variables,
+                },
+                vision_analyze_params.VisionAnalyzeParams,
+            ),
+            options=make_request_options(
+                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
+            ),
+            cast_to=VisionResponse,
+        )
+
+
+class VisionResourceWithRawResponse:
+    def __init__(self, vision: VisionResource) -> None:
+        self._vision = vision
+
+        self.analyze = to_raw_response_wrapper(
+            vision.analyze,
+        )
+
+
+class AsyncVisionResourceWithRawResponse:
+    def __init__(self, vision: AsyncVisionResource) -> None:
+        self._vision = vision
+
+        self.analyze = async_to_raw_response_wrapper(
+            vision.analyze,
+        )
+
+
+class VisionResourceWithStreamingResponse:
+    def __init__(self, vision: VisionResource) -> None:
+        self._vision = vision
+
+        self.analyze = to_streamed_response_wrapper(
+            vision.analyze,
+        )
+
+
+class AsyncVisionResourceWithStreamingResponse:
+    def __init__(self, vision: AsyncVisionResource) -> None:
+        self._vision = vision
+
+        self.analyze = async_to_streamed_response_wrapper(
+            vision.analyze,
+        )
diff --git a/src/writerai/types/__init__.py b/src/writerai/types/__init__.py
index e76f9b35..03f63434 100644
--- a/src/writerai/types/__init__.py
+++ b/src/writerai/types/__init__.py
@@ -22,6 +22,7 @@
 from .question import Question as Question
 from .completion import Completion as Completion
 from .chat_completion import ChatCompletion as ChatCompletion
+from .vision_response import VisionResponse as VisionResponse
 from .chat_chat_params import ChatChatParams as ChatChatParams
 from .completion_chunk import CompletionChunk as CompletionChunk
 from .file_list_params import FileListParams as FileListParams
@@ -40,6 +41,7 @@
 from .graph_question_params import GraphQuestionParams as GraphQuestionParams
 from .graph_update_response import GraphUpdateResponse as GraphUpdateResponse
 from .tool_parse_pdf_params import ToolParsePdfParams as ToolParsePdfParams
+from .vision_analyze_params import VisionAnalyzeParams as VisionAnalyzeParams
 from .chat_completion_choice import ChatCompletionChoice as ChatCompletionChoice
 from .application_list_params import ApplicationListParams as ApplicationListParams
 from .chat_completion_message import ChatCompletionMessage as ChatCompletionMessage
diff --git a/src/writerai/types/application_generate_content_params.py b/src/writerai/types/application_generate_content_params.py
index 885a2beb..9541512b 100644
--- a/src/writerai/types/application_generate_content_params.py
+++ b/src/writerai/types/application_generate_content_params.py
@@ -29,9 +29,12 @@ class Input(TypedDict, total=False):
     value: Required[List[str]]
     """The value for the input field.
 
-    If file is required you will need to pass a `file_id`. See
-    [here](https://dev.writer.com/api-guides/api-reference/file-api/upload-files)
-    for the Files API.
+    If the input type is "File upload", you must pass the `file_id` of an uploaded
+    file. You cannot pass a file object directly. See the
+    [file upload endpoint](/api-guides/api-reference/file-api/upload-files) for
+    instructions on uploading files or the
+    [list files endpoint](/api-guides/api-reference/file-api/get-all-files) for how
+    to see a list of uploaded files and their IDs.
     """
 
 
diff --git a/src/writerai/types/applications/job_create_params.py b/src/writerai/types/applications/job_create_params.py
index 86c6b048..467d133a 100644
--- a/src/writerai/types/applications/job_create_params.py
+++ b/src/writerai/types/applications/job_create_params.py
@@ -25,7 +25,10 @@ class Input(TypedDict, total=False):
     value: Required[List[str]]
     """The value for the input field.
 
-    If file is required you will need to pass a `file_id`. See
-    [here](https://dev.writer.com/api-guides/api-reference/file-api/upload-files)
-    for the Files API.
+    If the input type is "File upload", you must pass the `file_id` of an uploaded
+    file. You cannot pass a file object directly. See the
+    [file upload endpoint](/api-guides/api-reference/file-api/upload-files) for
+    instructions on uploading files or the
+    [list files endpoint](/api-guides/api-reference/file-api/get-all-files) for how
+    to see a list of uploaded files and their IDs.
     """
diff --git a/src/writerai/types/chat_chat_params.py b/src/writerai/types/chat_chat_params.py
index 1b14328b..08dce8f2 100644
--- a/src/writerai/types/chat_chat_params.py
+++ b/src/writerai/types/chat_chat_params.py
@@ -77,9 +77,11 @@ class ChatChatParamsBase(TypedDict, total=False):
 
     tools: Iterable[ToolParam]
     """
-    An array of tools described to the model using JSON schema that the model can
-    use to generate responses. You can define your own functions or use the built-in
-    `graph` or `llm` tools.
+    An array containing tool definitions for tools that the model can use to
+    generate responses. The tool definitions use JSON schema. You can define your
+    own functions or use one of the built-in `graph`, `llm`, or `vision` tools. Note
+    that you can only use one built-in tool type in the array (only one of `graph`,
+    `llm`, or `vision`).
     """
 
     top_p: float
@@ -93,6 +95,12 @@ class ChatChatParamsBase(TypedDict, total=False):
 
 class Message(TypedDict, total=False):
     role: Required[Literal["user", "assistant", "system", "tool"]]
+    """The role of the chat message.
+
+    You can provide a system prompt by setting the role to `system`, or specify that
+    a message is the result of a [tool call](/api-guides/tool-calling) by setting
+    the role to `tool`.
+    """
 
     content: Optional[str]
 
diff --git a/src/writerai/types/completion_choice.py b/src/writerai/types/completion_choice.py
new file mode 100644
index 00000000..74a1e2f9
--- /dev/null
+++ b/src/writerai/types/completion_choice.py
@@ -0,0 +1,18 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from typing import Optional
+
+from .._models import BaseModel
+from .shared.logprobs import Logprobs
+
+__all__ = ["CompletionChoice"]
+
+
+class CompletionChoice(BaseModel):
+    text: str
+    """
+    The generated text output from the model, which forms the main content of the
+    response.
+    """
+
+    log_probs: Optional[Logprobs] = None
diff --git a/src/writerai/types/graph_question_params.py b/src/writerai/types/graph_question_params.py
index 508d10ae..570cbbd6 100644
--- a/src/writerai/types/graph_question_params.py
+++ b/src/writerai/types/graph_question_params.py
@@ -15,12 +15,12 @@ class GraphQuestionParamsBase(TypedDict, total=False):
     question: Required[str]
     """The question to be answered using the Knowledge Graph."""
 
-    subqueries: Required[bool]
+    subqueries: bool
     """Specify whether to include subqueries."""
 
 
 class GraphQuestionParamsNonStreaming(GraphQuestionParamsBase, total=False):
-    stream: Required[Literal[False]]
+    stream: Literal[False]
     """Determines whether the model's output should be streamed.
 
     If true, the output is generated and sent incrementally, which can be useful for
diff --git a/src/writerai/types/parsed_chat.py b/src/writerai/types/parsed_chat.py
new file mode 100644
index 00000000..303aa5dd
--- /dev/null
+++ b/src/writerai/types/parsed_chat.py
@@ -0,0 +1,41 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from typing import List, Generic, TypeVar, Optional
+
+from .._models import GenericModel
+from .chat_completion import ChatCompletion
+from .chat_completion_choice import ChatCompletionChoice
+from .chat_completion_message import ChatCompletionMessage
+from .parsed_function_tool_call import ParsedFunctionToolCall
+
+__all__ = ["ParsedChatCompletion", "ParsedChatCompletionChoice", "ParsedChatCompletionMessage"]
+
+
+ContentType = TypeVar("ContentType")
+
+
+# we need to disable this check because we're overriding properties
+# with subclasses of their types which is technically unsound as
+# properties can be mutated.
+# pyright: reportIncompatibleVariableOverride=false
+
+
+class ParsedChatCompletionMessage(ChatCompletionMessage, GenericModel, Generic[ContentType]):
+    parsed: Optional[ContentType] = None
+    """The auto-parsed message contents"""
+
+    tool_calls: Optional[List[ParsedFunctionToolCall]] = None  # type: ignore[assignment]
+    """The tool calls generated by the model, such as function calls."""
+
+
+class ParsedChatCompletionChoice(ChatCompletionChoice, GenericModel, Generic[ContentType]):
+    message: ParsedChatCompletionMessage[ContentType]
+    """A chat completion message generated by the model."""
+
+
+class ParsedChatCompletion(ChatCompletion, GenericModel, Generic[ContentType]):
+    choices: List[ParsedChatCompletionChoice[ContentType]]  # type: ignore[assignment]
+    """A list of chat completion choices.
+
+    Can be more than one if `n` is greater than 1.
+    """
diff --git a/src/writerai/types/parsed_function_tool_call.py b/src/writerai/types/parsed_function_tool_call.py
new file mode 100644
index 00000000..86b59b71
--- /dev/null
+++ b/src/writerai/types/parsed_function_tool_call.py
@@ -0,0 +1,29 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from typing import Optional
+
+from .shared.tool_call import Function, ToolCall
+
+__all__ = ["ParsedFunctionToolCall", "ParsedFunction"]
+
+# we need to disable this check because we're overriding properties
+# with subclasses of their types which is technically unsound as
+# properties can be mutated.
+# pyright: reportIncompatibleVariableOverride=false
+
+
+class ParsedFunction(Function):
+    parsed_arguments: Optional[object] = None
+    """
+    The arguments to call the function with.
+
+    If you used `writerai.pydantic_function_tool()` then this will be an
+    instance of the given `BaseModel`.
+
+    Otherwise, this will be the parsed JSON arguments.
+    """
+
+
+class ParsedFunctionToolCall(ToolCall):
+    function: ParsedFunction
+    """The function that the model called."""
diff --git a/src/writerai/types/shared/tool_call.py b/src/writerai/types/shared/tool_call.py
index d21d0cc1..33d5d929 100644
--- a/src/writerai/types/shared/tool_call.py
+++ b/src/writerai/types/shared/tool_call.py
@@ -1,6 +1,7 @@
 # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
 from typing import Optional
+from typing_extensions import Literal
 
 from ..._models import BaseModel
 
@@ -18,6 +19,6 @@ class ToolCall(BaseModel):
 
     function: Function
 
-    type: str
+    type: Literal["function"]
 
     index: Optional[int] = None
diff --git a/src/writerai/types/shared/tool_call_streaming.py b/src/writerai/types/shared/tool_call_streaming.py
index 350001f2..ad4619e6 100644
--- a/src/writerai/types/shared/tool_call_streaming.py
+++ b/src/writerai/types/shared/tool_call_streaming.py
@@ -1,6 +1,7 @@
 # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
 from typing import Optional
+from typing_extensions import Literal
 
 from ..._models import BaseModel
 
@@ -20,4 +21,4 @@ class ToolCallStreaming(BaseModel):
 
     function: Optional[Function] = None
 
-    type: Optional[str] = None
+    type: Optional[Literal["function"]] = None
diff --git a/src/writerai/types/shared/tool_param.py b/src/writerai/types/shared/tool_param.py
index c8761bab..ccc6cd45 100644
--- a/src/writerai/types/shared/tool_param.py
+++ b/src/writerai/types/shared/tool_param.py
@@ -7,7 +7,17 @@
 from ..._models import BaseModel
 from .function_definition import FunctionDefinition
 
-__all__ = ["ToolParam", "FunctionTool", "GraphTool", "GraphToolFunction", "LlmTool", "LlmToolFunction"]
+__all__ = [
+    "ToolParam",
+    "FunctionTool",
+    "GraphTool",
+    "GraphToolFunction",
+    "LlmTool",
+    "LlmToolFunction",
+    "VisionTool",
+    "VisionToolFunction",
+    "VisionToolFunctionVariable",
+]
 
 
 class FunctionTool(BaseModel):
@@ -49,8 +59,43 @@ class LlmTool(BaseModel):
     function: LlmToolFunction
     """A tool that uses another Writer model to generate a response."""
 
-    type: Optional[Literal["llm"]] = None
+    type: Literal["llm"]
     """The type of tool."""
 
 
-ToolParam: TypeAlias = Annotated[Union[FunctionTool, GraphTool, LlmTool], PropertyInfo(discriminator="type")]
+class VisionToolFunctionVariable(BaseModel):
+    file_id: str
+    """The File ID of the image to be analyzed.
+
+    The file must be uploaded to the Writer platform before you use it with the
+    Vision tool.
+    """
+
+    name: str
+    """The name of the file variable.
+
+    You must reference this name in the `message.content` field of the request to
+    the chat completions endpoint. Use double curly braces (`{{}}`) to reference the
+    file. For example,
+    `Describe the difference between the image {{image_1}} and the image {{image_2}}`.
+    """
+
+
+class VisionToolFunction(BaseModel):
+    model: str
+    """The model to be used for image analysis. Must be `palmyra-vision`."""
+
+    variables: List[VisionToolFunctionVariable]
+
+
+class VisionTool(BaseModel):
+    function: VisionToolFunction
+    """A tool that uses Palmyra Vision to analyze images."""
+
+    type: Literal["vision"]
+    """The type of tool."""
+
+
+ToolParam: TypeAlias = Annotated[
+    Union[FunctionTool, GraphTool, LlmTool, VisionTool], PropertyInfo(discriminator="type")
+]
diff --git a/src/writerai/types/shared_params/__init__.py b/src/writerai/types/shared_params/__init__.py
index 1bd920cf..1067d9ae 100644
--- a/src/writerai/types/shared_params/__init__.py
+++ b/src/writerai/types/shared_params/__init__.py
@@ -5,6 +5,10 @@
 from .graph_data import GraphData as GraphData
 from .tool_param import ToolParam as ToolParam
 from .function_params import FunctionParams as FunctionParams
+from .response_format import ResponseFormat as ResponseFormat
 from .tool_choice_string import ToolChoiceString as ToolChoiceString
 from .function_definition import FunctionDefinition as FunctionDefinition
+from .response_format_text import ResponseFormatText as ResponseFormatText
 from .tool_choice_json_object import ToolChoiceJsonObject as ToolChoiceJsonObject
+from .response_format_json_object import ResponseFormatJSONObject as ResponseFormatJSONObject
+from .response_format_json_schema import ResponseFormatJSONSchema as ResponseFormatJSONSchema
diff --git a/src/writerai/types/shared_params/function_parameters.py b/src/writerai/types/shared_params/function_parameters.py
new file mode 100644
index 00000000..45fc742d
--- /dev/null
+++ b/src/writerai/types/shared_params/function_parameters.py
@@ -0,0 +1,10 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from __future__ import annotations
+
+from typing import Dict
+from typing_extensions import TypeAlias
+
+__all__ = ["FunctionParameters"]
+
+FunctionParameters: TypeAlias = Dict[str, object]
diff --git a/src/writerai/types/shared_params/response_format.py b/src/writerai/types/shared_params/response_format.py
new file mode 100644
index 00000000..c9b058f8
--- /dev/null
+++ b/src/writerai/types/shared_params/response_format.py
@@ -0,0 +1,10 @@
+from typing import Union
+from typing_extensions import TypeAlias
+
+from .response_format_text import ResponseFormatText
+from .response_format_json_object import ResponseFormatJSONObject
+from .response_format_json_schema import ResponseFormatJSONSchema
+
+__all__ = ["ResponseFormat"]
+
+ResponseFormat: TypeAlias = Union[ResponseFormatText, ResponseFormatJSONObject, ResponseFormatJSONSchema]
diff --git a/src/writerai/types/shared_params/response_format_json_object.py b/src/writerai/types/shared_params/response_format_json_object.py
new file mode 100644
index 00000000..8419c6cb
--- /dev/null
+++ b/src/writerai/types/shared_params/response_format_json_object.py
@@ -0,0 +1,12 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from __future__ import annotations
+
+from typing_extensions import Literal, Required, TypedDict
+
+__all__ = ["ResponseFormatJSONObject"]
+
+
+class ResponseFormatJSONObject(TypedDict, total=False):
+    type: Required[Literal["json_object"]]
+    """The type of response format being defined: `json_object`"""
diff --git a/src/writerai/types/shared_params/response_format_json_schema.py b/src/writerai/types/shared_params/response_format_json_schema.py
new file mode 100644
index 00000000..b05b5822
--- /dev/null
+++ b/src/writerai/types/shared_params/response_format_json_schema.py
@@ -0,0 +1,41 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from __future__ import annotations
+
+from typing import Dict, Optional
+from typing_extensions import Literal, Required, TypedDict
+
+__all__ = ["ResponseFormatJSONSchema", "JSONSchema"]
+
+
+class JSONSchema(TypedDict, total=False):
+    name: Required[str]
+    """The name of the response format.
+
+    Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length
+    of 64.
+    """
+
+    description: str
+    """
+    A description of what the response format is for, used by the model to determine
+    how to respond in the format.
+    """
+
+    schema: Dict[str, object]
+    """The schema for the response format, described as a JSON Schema object."""
+
+    strict: Optional[bool]
+    """Whether to enable strict schema adherence when generating the output.
+
+    If set to true, the model will always follow the exact schema defined in the
+    `schema` field. Only a subset of JSON Schema is supported when `strict` is
+    `true`.
+    """
+
+
+class ResponseFormatJSONSchema(TypedDict, total=False):
+    json_schema: Required[JSONSchema]
+
+    type: Required[Literal["json_schema"]]
+    """The type of response format being defined: `json_schema`"""
diff --git a/src/writerai/types/shared_params/response_format_text.py b/src/writerai/types/shared_params/response_format_text.py
new file mode 100644
index 00000000..5bec7fc5
--- /dev/null
+++ b/src/writerai/types/shared_params/response_format_text.py
@@ -0,0 +1,12 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from __future__ import annotations
+
+from typing_extensions import Literal, Required, TypedDict
+
+__all__ = ["ResponseFormatText"]
+
+
+class ResponseFormatText(TypedDict, total=False):
+    type: Required[Literal["text"]]
+    """The type of response format being defined: `text`"""
diff --git a/src/writerai/types/shared_params/tool_call.py b/src/writerai/types/shared_params/tool_call.py
index 5a81f596..cb736487 100644
--- a/src/writerai/types/shared_params/tool_call.py
+++ b/src/writerai/types/shared_params/tool_call.py
@@ -2,7 +2,7 @@
 
 from __future__ import annotations
 
-from typing_extensions import Required, TypedDict
+from typing_extensions import Literal, Required, TypedDict
 
 __all__ = ["ToolCall", "Function"]
 
@@ -18,6 +18,6 @@ class ToolCall(TypedDict, total=False):
 
     function: Required[Function]
 
-    type: Required[str]
+    type: Required[Literal["function"]]
 
     index: int
diff --git a/src/writerai/types/shared_params/tool_param.py b/src/writerai/types/shared_params/tool_param.py
index 827e0820..7723c2f3 100644
--- a/src/writerai/types/shared_params/tool_param.py
+++ b/src/writerai/types/shared_params/tool_param.py
@@ -2,12 +2,22 @@
 
 from __future__ import annotations
 
-from typing import List, Union
+from typing import List, Union, Iterable
 from typing_extensions import Literal, Required, TypeAlias, TypedDict
 
 from .function_definition import FunctionDefinition
 
-__all__ = ["ToolParam", "FunctionTool", "GraphTool", "GraphToolFunction", "LlmTool", "LlmToolFunction"]
+__all__ = [
+    "ToolParam",
+    "FunctionTool",
+    "GraphTool",
+    "GraphToolFunction",
+    "LlmTool",
+    "LlmToolFunction",
+    "VisionTool",
+    "VisionToolFunction",
+    "VisionToolFunctionVariable",
+]
 
 
 class FunctionTool(TypedDict, total=False):
@@ -49,8 +59,41 @@ class LlmTool(TypedDict, total=False):
     function: Required[LlmToolFunction]
     """A tool that uses another Writer model to generate a response."""
 
-    type: Literal["llm"]
+    type: Required[Literal["llm"]]
     """The type of tool."""
 
 
-ToolParam: TypeAlias = Union[FunctionTool, GraphTool, LlmTool]
+class VisionToolFunctionVariable(TypedDict, total=False):
+    file_id: Required[str]
+    """The File ID of the image to be analyzed.
+
+    The file must be uploaded to the Writer platform before you use it with the
+    Vision tool.
+    """
+
+    name: Required[str]
+    """The name of the file variable.
+
+    You must reference this name in the `message.content` field of the request to
+    the chat completions endpoint. Use double curly braces (`{{}}`) to reference the
+    file. For example,
+    `Describe the difference between the image {{image_1}} and the image {{image_2}}`.
+    """
+
+
+class VisionToolFunction(TypedDict, total=False):
+    model: Required[str]
+    """The model to be used for image analysis. Must be `palmyra-vision`."""
+
+    variables: Required[Iterable[VisionToolFunctionVariable]]
+
+
+class VisionTool(TypedDict, total=False):
+    function: Required[VisionToolFunction]
+    """A tool that uses Palmyra Vision to analyze images."""
+
+    type: Required[Literal["vision"]]
+    """The type of tool."""
+
+
+ToolParam: TypeAlias = Union[FunctionTool, GraphTool, LlmTool, VisionTool]
diff --git a/src/writerai/types/vision_analyze_params.py b/src/writerai/types/vision_analyze_params.py
new file mode 100644
index 00000000..96b50b99
--- /dev/null
+++ b/src/writerai/types/vision_analyze_params.py
@@ -0,0 +1,43 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from __future__ import annotations
+
+from typing import Iterable
+from typing_extensions import Required, TypedDict
+
+__all__ = ["VisionAnalyzeParams", "Variable"]
+
+
+class VisionAnalyzeParams(TypedDict, total=False):
+    model: Required[str]
+    """The model to be used for image analysis.
+
+    Currently only supports `palmyra-vision`.
+    """
+
+    prompt: Required[str]
+    """The prompt to use for the image analysis.
+
+    The prompt must include the name of each image variable, surrounded by double
+    curly braces (`{{}}`). For example,
+    `Describe the difference between the image {{image_1}} and the image {{image_2}}`.
+    """
+
+    variables: Required[Iterable[Variable]]
+
+
+class Variable(TypedDict, total=False):
+    file_id: Required[str]
+    """The File ID of the image to be analyzed.
+
+    The file must be uploaded to the Writer platform before it can be used in a
+    vision request.
+    """
+
+    name: Required[str]
+    """The name of the file variable.
+
+    You must reference this name in the prompt with double curly braces (`{{}}`).
+    For example,
+    `Describe the difference between the image {{image_1}} and the image {{image_2}}`.
+    """
diff --git a/src/writerai/types/vision_response.py b/src/writerai/types/vision_response.py
new file mode 100644
index 00000000..0fceb4b0
--- /dev/null
+++ b/src/writerai/types/vision_response.py
@@ -0,0 +1,11 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+
+from .._models import BaseModel
+
+__all__ = ["VisionResponse"]
+
+
+class VisionResponse(BaseModel):
+    data: str
+    """The result of the image analysis."""
diff --git a/tests/api_resources/test_chat.py b/tests/api_resources/test_chat.py
index a1c804be..c035240e 100644
--- a/tests/api_resources/test_chat.py
+++ b/tests/api_resources/test_chat.py
@@ -63,7 +63,7 @@ def test_method_chat_with_all_params_overload_1(self, client: Writer) -> None:
                                 "arguments": "arguments",
                                 "name": "name",
                             },
-                            "type": "type",
+                            "type": "function",
                             "index": 0,
                         }
                     ],
@@ -165,7 +165,7 @@ def test_method_chat_with_all_params_overload_2(self, client: Writer) -> None:
                                 "arguments": "arguments",
                                 "name": "name",
                             },
-                            "type": "type",
+                            "type": "function",
                             "index": 0,
                         }
                     ],
@@ -271,7 +271,7 @@ async def test_method_chat_with_all_params_overload_1(self, async_client: AsyncW
                                 "arguments": "arguments",
                                 "name": "name",
                             },
-                            "type": "type",
+                            "type": "function",
                             "index": 0,
                         }
                     ],
@@ -373,7 +373,7 @@ async def test_method_chat_with_all_params_overload_2(self, async_client: AsyncW
                                 "arguments": "arguments",
                                 "name": "name",
                             },
-                            "type": "type",
+                            "type": "function",
                             "index": 0,
                         }
                     ],
diff --git a/tests/api_resources/test_graphs.py b/tests/api_resources/test_graphs.py
index 510af9e6..22c7b21b 100644
--- a/tests/api_resources/test_graphs.py
+++ b/tests/api_resources/test_graphs.py
@@ -261,6 +261,14 @@ def test_path_params_add_file_to_graph(self, client: Writer) -> None:
 
     @parametrize
     def test_method_question_overload_1(self, client: Writer) -> None:
+        graph = client.graphs.question(
+            graph_ids=["182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e"],
+            question="question",
+        )
+        assert_matches_type(Question, graph, path=["response"])
+
+    @parametrize
+    def test_method_question_with_all_params_overload_1(self, client: Writer) -> None:
         graph = client.graphs.question(
             graph_ids=["182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e"],
             question="question",
@@ -274,8 +282,6 @@ def test_raw_response_question_overload_1(self, client: Writer) -> None:
         response = client.graphs.with_raw_response.question(
             graph_ids=["182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e"],
             question="question",
-            stream=False,
-            subqueries=True,
         )
 
         assert response.is_closed is True
@@ -288,8 +294,6 @@ def test_streaming_response_question_overload_1(self, client: Writer) -> None:
         with client.graphs.with_streaming_response.question(
             graph_ids=["182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e"],
             question="question",
-            stream=False,
-            subqueries=True,
         ) as response:
             assert not response.is_closed
             assert response.http_request.headers.get("X-Stainless-Lang") == "python"
@@ -301,6 +305,15 @@ def test_streaming_response_question_overload_1(self, client: Writer) -> None:
 
     @parametrize
     def test_method_question_overload_2(self, client: Writer) -> None:
+        graph_stream = client.graphs.question(
+            graph_ids=["182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e"],
+            question="question",
+            stream=True,
+        )
+        graph_stream.response.close()
+
+    @parametrize
+    def test_method_question_with_all_params_overload_2(self, client: Writer) -> None:
         graph_stream = client.graphs.question(
             graph_ids=["182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e"],
             question="question",
@@ -315,7 +328,6 @@ def test_raw_response_question_overload_2(self, client: Writer) -> None:
             graph_ids=["182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e"],
             question="question",
             stream=True,
-            subqueries=True,
         )
 
         assert response.http_request.headers.get("X-Stainless-Lang") == "python"
@@ -328,7 +340,6 @@ def test_streaming_response_question_overload_2(self, client: Writer) -> None:
             graph_ids=["182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e"],
             question="question",
             stream=True,
-            subqueries=True,
         ) as response:
             assert not response.is_closed
             assert response.http_request.headers.get("X-Stainless-Lang") == "python"
@@ -625,6 +636,14 @@ async def test_path_params_add_file_to_graph(self, async_client: AsyncWriter) ->
 
     @parametrize
     async def test_method_question_overload_1(self, async_client: AsyncWriter) -> None:
+        graph = await async_client.graphs.question(
+            graph_ids=["182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e"],
+            question="question",
+        )
+        assert_matches_type(Question, graph, path=["response"])
+
+    @parametrize
+    async def test_method_question_with_all_params_overload_1(self, async_client: AsyncWriter) -> None:
         graph = await async_client.graphs.question(
             graph_ids=["182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e"],
             question="question",
@@ -638,8 +657,6 @@ async def test_raw_response_question_overload_1(self, async_client: AsyncWriter)
         response = await async_client.graphs.with_raw_response.question(
             graph_ids=["182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e"],
             question="question",
-            stream=False,
-            subqueries=True,
         )
 
         assert response.is_closed is True
@@ -652,8 +669,6 @@ async def test_streaming_response_question_overload_1(self, async_client: AsyncW
         async with async_client.graphs.with_streaming_response.question(
             graph_ids=["182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e"],
             question="question",
-            stream=False,
-            subqueries=True,
         ) as response:
             assert not response.is_closed
             assert response.http_request.headers.get("X-Stainless-Lang") == "python"
@@ -665,6 +680,15 @@ async def test_streaming_response_question_overload_1(self, async_client: AsyncW
 
     @parametrize
     async def test_method_question_overload_2(self, async_client: AsyncWriter) -> None:
+        graph_stream = await async_client.graphs.question(
+            graph_ids=["182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e"],
+            question="question",
+            stream=True,
+        )
+        await graph_stream.response.aclose()
+
+    @parametrize
+    async def test_method_question_with_all_params_overload_2(self, async_client: AsyncWriter) -> None:
         graph_stream = await async_client.graphs.question(
             graph_ids=["182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e"],
             question="question",
@@ -679,7 +703,6 @@ async def test_raw_response_question_overload_2(self, async_client: AsyncWriter)
             graph_ids=["182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e"],
             question="question",
             stream=True,
-            subqueries=True,
         )
 
         assert response.http_request.headers.get("X-Stainless-Lang") == "python"
@@ -692,7 +715,6 @@ async def test_streaming_response_question_overload_2(self, async_client: AsyncW
             graph_ids=["182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e"],
             question="question",
             stream=True,
-            subqueries=True,
         ) as response:
             assert not response.is_closed
             assert response.http_request.headers.get("X-Stainless-Lang") == "python"
diff --git a/tests/api_resources/test_vision.py b/tests/api_resources/test_vision.py
new file mode 100644
index 00000000..20f5d72f
--- /dev/null
+++ b/tests/api_resources/test_vision.py
@@ -0,0 +1,150 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from __future__ import annotations
+
+import os
+from typing import Any, cast
+
+import pytest
+
+from writerai import Writer, AsyncWriter
+from tests.utils import assert_matches_type
+from writerai.types import VisionResponse
+
+base_url = os.environ.get("TEST_API_BASE_URL", "http://127.0.0.1:4010")
+
+
+class TestVision:
+    parametrize = pytest.mark.parametrize("client", [False, True], indirect=True, ids=["loose", "strict"])
+
+    @parametrize
+    def test_method_analyze(self, client: Writer) -> None:
+        vision = client.vision.analyze(
+            model="palmyra-vision",
+            prompt="Describe the difference between the image {{image_1}} and the image {{image_2}}.",
+            variables=[
+                {
+                    "file_id": "f1234",
+                    "name": "image_1",
+                },
+                {
+                    "file_id": "f9876",
+                    "name": "image_2",
+                },
+            ],
+        )
+        assert_matches_type(VisionResponse, vision, path=["response"])
+
+    @parametrize
+    def test_raw_response_analyze(self, client: Writer) -> None:
+        response = client.vision.with_raw_response.analyze(
+            model="palmyra-vision",
+            prompt="Describe the difference between the image {{image_1}} and the image {{image_2}}.",
+            variables=[
+                {
+                    "file_id": "f1234",
+                    "name": "image_1",
+                },
+                {
+                    "file_id": "f9876",
+                    "name": "image_2",
+                },
+            ],
+        )
+
+        assert response.is_closed is True
+        assert response.http_request.headers.get("X-Stainless-Lang") == "python"
+        vision = response.parse()
+        assert_matches_type(VisionResponse, vision, path=["response"])
+
+    @parametrize
+    def test_streaming_response_analyze(self, client: Writer) -> None:
+        with client.vision.with_streaming_response.analyze(
+            model="palmyra-vision",
+            prompt="Describe the difference between the image {{image_1}} and the image {{image_2}}.",
+            variables=[
+                {
+                    "file_id": "f1234",
+                    "name": "image_1",
+                },
+                {
+                    "file_id": "f9876",
+                    "name": "image_2",
+                },
+            ],
+        ) as response:
+            assert not response.is_closed
+            assert response.http_request.headers.get("X-Stainless-Lang") == "python"
+
+            vision = response.parse()
+            assert_matches_type(VisionResponse, vision, path=["response"])
+
+        assert cast(Any, response.is_closed) is True
+
+
+class TestAsyncVision:
+    parametrize = pytest.mark.parametrize("async_client", [False, True], indirect=True, ids=["loose", "strict"])
+
+    @parametrize
+    async def test_method_analyze(self, async_client: AsyncWriter) -> None:
+        vision = await async_client.vision.analyze(
+            model="palmyra-vision",
+            prompt="Describe the difference between the image {{image_1}} and the image {{image_2}}.",
+            variables=[
+                {
+                    "file_id": "f1234",
+                    "name": "image_1",
+                },
+                {
+                    "file_id": "f9876",
+                    "name": "image_2",
+                },
+            ],
+        )
+        assert_matches_type(VisionResponse, vision, path=["response"])
+
+    @parametrize
+    async def test_raw_response_analyze(self, async_client: AsyncWriter) -> None:
+        response = await async_client.vision.with_raw_response.analyze(
+            model="palmyra-vision",
+            prompt="Describe the difference between the image {{image_1}} and the image {{image_2}}.",
+            variables=[
+                {
+                    "file_id": "f1234",
+                    "name": "image_1",
+                },
+                {
+                    "file_id": "f9876",
+                    "name": "image_2",
+                },
+            ],
+        )
+
+        assert response.is_closed is True
+        assert response.http_request.headers.get("X-Stainless-Lang") == "python"
+        vision = await response.parse()
+        assert_matches_type(VisionResponse, vision, path=["response"])
+
+    @parametrize
+    async def test_streaming_response_analyze(self, async_client: AsyncWriter) -> None:
+        async with async_client.vision.with_streaming_response.analyze(
+            model="palmyra-vision",
+            prompt="Describe the difference between the image {{image_1}} and the image {{image_2}}.",
+            variables=[
+                {
+                    "file_id": "f1234",
+                    "name": "image_1",
+                },
+                {
+                    "file_id": "f9876",
+                    "name": "image_2",
+                },
+            ],
+        ) as response:
+            assert not response.is_closed
+            assert response.http_request.headers.get("X-Stainless-Lang") == "python"
+
+            vision = await response.parse()
+            assert_matches_type(VisionResponse, vision, path=["response"])
+
+        assert cast(Any, response.is_closed) is True
diff --git a/tests/lib/__init__.py b/tests/lib/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/tests/lib/streaming/__init__.py b/tests/lib/streaming/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/tests/lib/streaming/_utils.py b/tests/lib/streaming/_utils.py
new file mode 100644
index 00000000..af08db41
--- /dev/null
+++ b/tests/lib/streaming/_utils.py
@@ -0,0 +1,54 @@
+from __future__ import annotations
+
+import inspect
+from typing import Any, Iterable
+from typing_extensions import TypeAlias
+
+import pytest
+import pydantic
+
+from ...utils import rich_print_str
+
+ReprArgs: TypeAlias = "Iterable[tuple[str | None, Any]]"
+
+
+def print_obj(obj: object, monkeypatch: pytest.MonkeyPatch) -> str:
+    """Pretty print an object to a string"""
+
+    # monkeypatch pydantic model printing so that model fields
+    # are always printed in the same order so we can reliably
+    # use this for snapshot tests
+    original_repr = pydantic.BaseModel.__repr_args__
+
+    def __repr_args__(self: pydantic.BaseModel) -> ReprArgs:
+        return sorted(original_repr(self), key=lambda arg: arg[0] or arg)
+
+    with monkeypatch.context() as m:
+        m.setattr(pydantic.BaseModel, "__repr_args__", __repr_args__)
+
+        string = rich_print_str(obj)
+
+        # we remove all `fn_name.<locals>.` occurences
+        # so that we can share the same snapshots between
+        # pydantic v1 and pydantic v2 as their output for
+        # generic models differs, e.g.
+        #
+        # v2: `ParsedChatCompletion[test_parse_pydantic_model.<locals>.Location]`
+        # v1: `ParsedChatCompletion[Location]`
+        return clear_locals(string, stacklevel=2)
+
+
+def get_caller_name(*, stacklevel: int = 1) -> str:
+    frame = inspect.currentframe()
+    assert frame is not None
+
+    for i in range(stacklevel):
+        frame = frame.f_back
+        assert frame is not None, f"no {i}th frame"
+
+    return frame.f_code.co_name
+
+
+def clear_locals(string: str, *, stacklevel: int) -> str:
+    caller = get_caller_name(stacklevel=stacklevel + 1)
+    return string.replace(f"{caller}.<locals>.", "")
diff --git a/tests/lib/streaming/test_chat_completions_streaming.py b/tests/lib/streaming/test_chat_completions_streaming.py
new file mode 100644
index 00000000..e3735c57
--- /dev/null
+++ b/tests/lib/streaming/test_chat_completions_streaming.py
@@ -0,0 +1,1062 @@
+from __future__ import annotations
+
+import os
+from typing import Any, Generic, Callable, Iterator, overload
+from typing_extensions import Literal, TypeVar
+
+# import rich
+import httpx
+import pytest
+from respx import MockRouter
+from pydantic import BaseModel
+from inline_snapshot import external, snapshot, outsource
+
+import writerai
+from writerai import Writer, AsyncWriter
+from writerai._utils import assert_signatures_in_sync
+
+# from writerai._compat import model_copy
+from writerai.lib.streaming.chat import (
+    ContentDoneEvent,
+    ChatCompletionStream,
+    ChatCompletionStreamEvent,
+    ChatCompletionStreamManager,
+    # ParsedChatCompletionSnapshot,
+)
+from writerai.lib._parsing._completions import ResponseFormatT
+
+from ._utils import print_obj
+from ...conftest import base_url
+
+_T = TypeVar("_T")
+
+# all the snapshots in this file are auto-generated from the live API
+#
+# you can update them with
+#
+# `WRITER_LIVE=1 pytest --inline-snapshot=fix`
+
+
+@pytest.mark.respx(base_url=base_url)
+def test_parse_nothing(client: Writer, respx_mock: MockRouter, monkeypatch: pytest.MonkeyPatch) -> None:
+    listener = _make_stream_snapshot_request(
+        lambda c: c.chat.stream(
+            model="palmyra-x-003-instruct",
+            messages=[
+                {
+                    "role": "user",
+                    "content": "What's the weather like in SF?",
+                },
+            ],
+        ),
+        content_snapshot=snapshot(external("e2aad469b71d*.writer")),
+        openai_content_snapshot=snapshot(external("e2aad469b71d*.openai")),
+        mock_client=client,
+        respx_mock=respx_mock,
+    )
+
+    assert print_obj(listener.stream.get_final_completion().choices, monkeypatch) == snapshot(
+        """\
+[
+    ParsedChatCompletionChoice[NoneType](
+        finish_reason='stop',
+        index=0,
+        logprobs=None,
+        message=ParsedChatCompletionMessage[NoneType](
+            content="I'm unable to provide real-time weather updates. To get the current weather in San Francisco, I 
+recommend checking a reliable weather website or a weather app.",
+            graph_data=None,
+            llm_data=None,
+            parsed=None,
+            refusal=None,
+            role='assistant',
+            tool_calls=[]
+        )
+    )
+]
+"""
+    )
+    assert print_obj(listener.get_event_by_type("content.done"), monkeypatch) == snapshot(
+        """\
+ContentDoneEvent[NoneType](
+    content="I'm unable to provide real-time weather updates. To get the current weather in San Francisco, I recommend 
+checking a reliable weather website or a weather app.",
+    parsed=None,
+    type='content.done'
+)
+"""
+    )
+
+
+# @pytest.mark.respx(base_url=base_url)
+# def test_parse_pydantic_model(client: Writer, respx_mock: MockRouter, monkeypatch: pytest.MonkeyPatch) -> None:
+#     class Location(BaseModel):
+#         city: str
+#         temperature: float
+#         units: Literal["c", "f"]
+
+#     done_snapshots: list[ParsedChatCompletionSnapshot] = []
+
+#     def on_event(stream: ChatCompletionStream[Location], event: ChatCompletionStreamEvent[Location]) -> None:
+#         if event.type == "content.done":
+#             done_snapshots.append(model_copy(stream.current_completion_snapshot, deep=True))
+
+#     listener = _make_stream_snapshot_request(
+#         lambda c: c.chat.stream(
+#             model="palmyra-x-003-instruct",
+#             messages=[
+#                 {
+#                     "role": "user",
+#                     "content": "What's the weather like in SF?",
+#                 },
+#             ],
+#             # response_format=Location,
+#         ),
+#         content_snapshot=snapshot(external("7e5ea4d12e7c*_bin")),
+#         mock_client=client,
+#         respx_mock=respx_mock,
+#         on_event=on_event,
+#     )
+
+#     assert len(done_snapshots) == 1
+#     assert isinstance(done_snapshots[0].choices[0].message.parsed, Location)
+
+#     for event in reversed(listener.events):
+#         if event.type == "content.delta":
+#             data = cast(Any, event.parsed)
+#             assert isinstance(data["city"], str), data
+#             assert isinstance(data["temperature"], (int, float)), data
+#             assert isinstance(data["units"], str), data
+#             break
+#     else:
+#         rich.print(listener.events)
+#         raise AssertionError("Did not find a `content.delta` event")
+
+#     assert print_obj(listener.stream.get_final_completion(), monkeypatch) == snapshot(
+#         """\
+# ParsedChatCompletion[Location](
+#     choices=[
+#         ParsedChatCompletionChoice[Location](
+#             finish_reason='stop',
+#             index=0,
+#             logprobs=None,
+#             message=ParsedChatCompletionMessage[Location](
+#                 content='{"city":"San Francisco","temperature":61,"units":"f"}',
+#                 graph_data=None,
+#                 parsed=Location(city='San Francisco', temperature=61.0, units='f'),
+#                 refusal=None,
+#                 role='assistant',
+#                 tool_calls=[]
+#             )
+#         )
+#     ],
+#     created=1727346169,
+#     id='chatcmpl-ABfw1e5abtU8OwGr15vOreYVb2MiF',
+#     model='palmyra-x-003-instruct',
+#     object='chat.completion',
+#     service_tier=None,
+#     system_fingerprint='fp_5050236cbd',
+#     usage=CompletionUsage(
+#         completion_tokens=14,
+#         completion_tokens_details=CompletionTokensDetails(reasoning_tokens=0),
+#         prompt_tokens=79,
+#         total_tokens=93
+#     )
+# )
+# """
+#     )
+#     assert print_obj(listener.get_event_by_type("content.done"), monkeypatch) == snapshot(
+#         """\
+# ContentDoneEvent[Location](
+#     content='{"city":"San Francisco","temperature":61,"units":"f"}',
+#     parsed=Location(city='San Francisco', temperature=61.0, units='f'),
+#     type='content.done'
+# )
+# """
+#     )
+
+
+# @pytest.mark.respx(base_url=base_url)
+# def test_parse_pydantic_model_multiple_choices(
+#     client: Writer, respx_mock: MockRouter, monkeypatch: pytest.MonkeyPatch
+# ) -> None:
+#     class Location(BaseModel):
+#         city: str
+#         temperature: float
+#         units: Literal["c", "f"]
+
+#     listener = _make_stream_snapshot_request(
+#         lambda c: c.chat.stream(
+#             model="palmyra-x-003-instruct",
+#             messages=[
+#                 {
+#                     "role": "user",
+#                     "content": "What's the weather like in SF?",
+#                 },
+#             ],
+#             n=3,
+#             response_format=Location,
+#         ),
+#         content_snapshot=snapshot(external("a491adda08c3*_bin")),
+#         mock_client=client,
+#         respx_mock=respx_mock,
+#     )
+
+#     assert [e.type for e in listener.events] == snapshot(
+#         [
+#             "chunk",
+#             "content.delta",
+#             "chunk",
+#             "content.delta",
+#             "chunk",
+#             "content.delta",
+#             "chunk",
+#             "content.delta",
+#             "chunk",
+#             "content.delta",
+#             "chunk",
+#             "content.delta",
+#             "chunk",
+#             "content.delta",
+#             "chunk",
+#             "content.delta",
+#             "chunk",
+#             "content.delta",
+#             "chunk",
+#             "content.delta",
+#             "chunk",
+#             "content.delta",
+#             "chunk",
+#             "content.delta",
+#             "chunk",
+#             "content.delta",
+#             "chunk",
+#             "content.delta",
+#             "chunk",
+#             "content.delta",
+#             "chunk",
+#             "content.delta",
+#             "chunk",
+#             "content.delta",
+#             "chunk",
+#             "content.delta",
+#             "chunk",
+#             "content.delta",
+#             "chunk",
+#             "content.delta",
+#             "chunk",
+#             "content.delta",
+#             "chunk",
+#             "content.delta",
+#             "chunk",
+#             "content.delta",
+#             "chunk",
+#             "content.delta",
+#             "chunk",
+#             "content.delta",
+#             "chunk",
+#             "content.delta",
+#             "chunk",
+#             "content.delta",
+#             "chunk",
+#             "content.delta",
+#             "chunk",
+#             "content.delta",
+#             "chunk",
+#             "content.delta",
+#             "chunk",
+#             "content.delta",
+#             "chunk",
+#             "content.delta",
+#             "chunk",
+#             "content.delta",
+#             "chunk",
+#             "content.delta",
+#             "chunk",
+#             "content.delta",
+#             "chunk",
+#             "content.delta",
+#             "chunk",
+#             "content.delta",
+#             "chunk",
+#             "content.delta",
+#             "chunk",
+#             "content.delta",
+#             "chunk",
+#             "content.delta",
+#             "chunk",
+#             "content.delta",
+#             "chunk",
+#             "content.delta",
+#             "chunk",
+#             "content.delta",
+#             "chunk",
+#             "content.delta",
+#             "chunk",
+#             "content.delta",
+#             "chunk",
+#             "content.done",
+#             "chunk",
+#             "content.done",
+#             "chunk",
+#             "content.done",
+#             "chunk",
+#         ]
+#     )
+#     assert print_obj(listener.stream.get_final_completion().choices, monkeypatch) == snapshot(
+#         """\
+# [
+#     ParsedChatCompletionChoice[Location](
+#         finish_reason='stop',
+#         index=0,
+#         logprobs=None,
+#         message=ParsedChatCompletionMessage[Location](
+#             content='{"city":"San Francisco","temperature":65,"units":"f"}',
+#             graph_data=None,
+#             parsed=Location(city='San Francisco', temperature=65.0, units='f'),
+#             refusal=None,
+#             role='assistant',
+#             tool_calls=[]
+#         )
+#     ),
+#     ParsedChatCompletionChoice[Location](
+#         finish_reason='stop',
+#         index=1,
+#         logprobs=None,
+#         message=ParsedChatCompletionMessage[Location](
+#             content='{"city":"San Francisco","temperature":61,"units":"f"}',
+#             graph_data=None,
+#             parsed=Location(city='San Francisco', temperature=61.0, units='f'),
+#             refusal=None,
+#             role='assistant',
+#             tool_calls=[]
+#         )
+#     ),
+#     ParsedChatCompletionChoice[Location](
+#         finish_reason='stop',
+#         index=2,
+#         logprobs=None,
+#         message=ParsedChatCompletionMessage[Location](
+#             content='{"city":"San Francisco","temperature":59,"units":"f"}',
+#             graph_data=None,
+#             parsed=Location(city='San Francisco', temperature=59.0, units='f'),
+#             refusal=None,
+#             role='assistant',
+#             tool_calls=[]
+#         )
+#     )
+# ]
+# """
+#     )
+
+
+# @pytest.mark.respx(base_url=base_url)
+# def test_parse_max_tokens_reached(client: Writer, respx_mock: MockRouter) -> None:
+#     class Location(BaseModel):
+#         city: str
+#         temperature: float
+#         units: Literal["c", "f"]
+#
+#     with pytest.raises(writerai.LengthFinishReasonError):
+#         _make_stream_snapshot_request(
+#             lambda c: c.chat.stream(
+#                 model="palmyra-x-003-instruct",
+#                 messages=[
+#                     {
+#                         "role": "user",
+#                         "content": "What's the weather like in SF?",
+#                     },
+#                 ],
+#                 max_tokens=1,
+#                 response_format=Location,
+#             ),
+#             content_snapshot=snapshot(external("4cc50a6135d2*_bin")),
+#             mock_client=client,
+#             respx_mock=respx_mock,
+#         )
+
+
+# @pytest.mark.respx(base_url=base_url)
+# def test_parse_pydantic_model_refusal(client: Writer, respx_mock: MockRouter, monkeypatch: pytest.MonkeyPatch) -> None:
+#     class Location(BaseModel):
+#         city: str
+#         temperature: float
+#         units: Literal["c", "f"]
+#
+#     listener = _make_stream_snapshot_request(
+#         lambda c: c.chat.stream(
+#             model="palmyra-x-003-instruct",
+#             messages=[
+#                 {
+#                     "role": "user",
+#                     "content": "How do I make anthrax?",
+#                 },
+#             ],
+#             response_format=Location,
+#         ),
+#         content_snapshot=snapshot(external("173417d55340*_bin")),
+#         mock_client=client,
+#         respx_mock=respx_mock,
+#     )
+#
+#     assert print_obj(listener.get_event_by_type("refusal.done"), monkeypatch) == snapshot("""\
+# RefusalDoneEvent(refusal="I'm sorry, I can't assist with that request.", type='refusal.done')
+# """)
+#
+#     assert print_obj(listener.stream.get_final_completion().choices, monkeypatch) == snapshot(
+#         """\
+# [
+#     ParsedChatCompletionChoice[Location](
+#         finish_reason='stop',
+#         index=0,
+#         logprobs=None,
+#         message=ParsedChatCompletionMessage[Location](
+#             content=None,
+#             graph_data=None,
+#             parsed=None,
+#             refusal="I'm sorry, I can't assist with that request.",
+#             role='assistant',
+#             tool_calls=[]
+#         )
+#     )
+# ]
+# """
+#     )
+
+
+@pytest.mark.respx(base_url=base_url)
+def test_content_logprobs_events(client: Writer, respx_mock: MockRouter, monkeypatch: pytest.MonkeyPatch) -> None:
+    listener = _make_stream_snapshot_request(
+        lambda c: c.chat.stream(
+            model="palmyra-x-003-instruct",
+            messages=[
+                {
+                    "role": "user",
+                    "content": "Say foo",
+                },
+            ],
+            logprobs=True,
+        ),
+        content_snapshot=snapshot(external("83b060bae42e*.writer")),
+        openai_content_snapshot=snapshot(external("83b060bae42e*.openai")),
+        mock_client=client,
+        respx_mock=respx_mock,
+    )
+
+    assert print_obj([e for e in listener.events if e.type.startswith("logprobs")], monkeypatch) == snapshot("""\
+[
+    LogprobsContentDeltaEvent(
+        content=[LogprobsToken(bytes=[70, 111, 111], logprob=-0.0025094282, token='Foo', top_logprobs=[])],
+        snapshot=[LogprobsToken(bytes=[70, 111, 111], logprob=-0.0025094282, token='Foo', top_logprobs=[])],
+        type='logprobs.content.delta'
+    ),
+    LogprobsContentDeltaEvent(
+        content=[LogprobsToken(bytes=[33], logprob=-0.26638845, token='!', top_logprobs=[])],
+        snapshot=[
+            LogprobsToken(bytes=[70, 111, 111], logprob=-0.0025094282, token='Foo', top_logprobs=[]),
+            LogprobsToken(bytes=[33], logprob=-0.26638845, token='!', top_logprobs=[])
+        ],
+        type='logprobs.content.delta'
+    ),
+    LogprobsContentDoneEvent(
+        content=[
+            LogprobsToken(bytes=[70, 111, 111], logprob=-0.0025094282, token='Foo', top_logprobs=[]),
+            LogprobsToken(bytes=[33], logprob=-0.26638845, token='!', top_logprobs=[])
+        ],
+        type='logprobs.content.done'
+    )
+]
+""")
+
+    assert print_obj(listener.stream.get_final_completion().choices, monkeypatch) == snapshot("""\
+[
+    ParsedChatCompletionChoice[NoneType](
+        finish_reason='stop',
+        index=0,
+        logprobs=Logprobs(
+            content=[
+                LogprobsToken(bytes=[70, 111, 111], logprob=-0.0025094282, token='Foo', top_logprobs=[]),
+                LogprobsToken(bytes=[33], logprob=-0.26638845, token='!', top_logprobs=[])
+            ],
+            refusal=None
+        ),
+        message=ParsedChatCompletionMessage[NoneType](
+            content='Foo!',
+            graph_data=None,
+            llm_data=None,
+            parsed=None,
+            refusal=None,
+            role='assistant',
+            tool_calls=[]
+        )
+    )
+]
+""")
+
+
+@pytest.mark.respx(base_url=base_url)
+def test_refusal_logprobs_events(client: Writer, respx_mock: MockRouter, monkeypatch: pytest.MonkeyPatch) -> None:
+    #     class Location(BaseModel):
+    #         city: str
+    #         temperature: float
+    #         units: Literal["c", "f"]
+
+    listener = _make_stream_snapshot_request(
+        lambda c: c.chat.stream(
+            model="palmyra-x-003-instruct",
+            messages=[
+                {
+                    "role": "user",
+                    "content": "How do I make anthrax?",
+                },
+            ],
+            logprobs=True,
+            # response_format=Location,
+        ),
+        content_snapshot=snapshot(external("569c877e6942*.writer")),
+        openai_content_snapshot=snapshot(external("569c877e6942*.openai")),
+        mock_client=client,
+        respx_mock=respx_mock,
+    )
+
+    assert print_obj([e.type for e in listener.events if e.type.startswith("logprobs")], monkeypatch) == snapshot("""\
+[
+    'logprobs.refusal.delta',
+    'logprobs.refusal.delta',
+    'logprobs.refusal.delta',
+    'logprobs.refusal.delta',
+    'logprobs.refusal.delta',
+    'logprobs.refusal.delta',
+    'logprobs.refusal.delta',
+    'logprobs.refusal.delta',
+    'logprobs.refusal.delta',
+    'logprobs.refusal.delta',
+    'logprobs.refusal.delta',
+    'logprobs.refusal.done'
+]
+""")
+
+    assert print_obj(listener.stream.get_final_completion().choices, monkeypatch) == snapshot("""\
+[
+    ParsedChatCompletionChoice[NoneType](
+        finish_reason='stop',
+        index=0,
+        logprobs=Logprobs(
+            content=None,
+            refusal=[
+                LogprobsToken(bytes=[73, 39, 109], logprob=-0.0012038043, token="I'm", top_logprobs=[]),
+                LogprobsToken(bytes=[32, 118, 101, 114, 121], logprob=-0.8438816, token=' very', top_logprobs=[]),
+                LogprobsToken(
+                    bytes=[32, 115, 111, 114, 114, 121],
+                    logprob=-3.4121115e-06,
+                    token=' sorry',
+                    top_logprobs=[]
+                ),
+                LogprobsToken(bytes=[44], logprob=-3.3809047e-05, token=',', top_logprobs=[]),
+                LogprobsToken(bytes=[32, 98, 117, 116], logprob=-0.038048144, token=' but', top_logprobs=[]),
+                LogprobsToken(bytes=[32, 73], logprob=-0.0016109125, token=' I', top_logprobs=[]),
+                LogprobsToken(
+                    bytes=[32, 99, 97, 110, 39, 116],
+                    logprob=-0.0073532974,
+                    token=" can't",
+                    top_logprobs=[]
+                ),
+                LogprobsToken(
+                    bytes=[32, 97, 115, 115, 105, 115, 116],
+                    logprob=-0.0020837625,
+                    token=' assist',
+                    top_logprobs=[]
+                ),
+                LogprobsToken(bytes=[32, 119, 105, 116, 104], logprob=-0.00318354, token=' with', top_logprobs=[]),
+                LogprobsToken(bytes=[32, 116, 104, 97, 116], logprob=-0.0017186158, token=' that', top_logprobs=[]),
+                LogprobsToken(bytes=[46], logprob=-0.57687104, token='.', top_logprobs=[])
+            ]
+        ),
+        message=ParsedChatCompletionMessage[NoneType](
+            content=None,
+            graph_data=None,
+            llm_data=None,
+            parsed=None,
+            refusal="I'm very sorry, but I can't assist with that.",
+            role='assistant',
+            tool_calls=[]
+        )
+    )
+]
+""")
+
+
+@pytest.mark.respx(base_url=base_url)
+def test_parse_pydantic_tool(client: Writer, respx_mock: MockRouter, monkeypatch: pytest.MonkeyPatch) -> None:
+    class GetWeatherArgs(BaseModel):
+        city: str
+        country: str
+        units: Literal["c", "f"] = "c"
+
+    listener = _make_stream_snapshot_request(
+        lambda c: c.chat.stream(
+            model="palmyra-x-003-instruct",
+            messages=[
+                {
+                    "role": "user",
+                    "content": "What's the weather like in Edinburgh?",
+                },
+            ],
+            tools=[
+                writerai.pydantic_function_tool(GetWeatherArgs),
+            ],
+        ),
+        content_snapshot=snapshot(external("c6aa7e397b71*.writer")),
+        openai_content_snapshot=snapshot(external("c6aa7e397b71*.openai")),
+        mock_client=client,
+        respx_mock=respx_mock,
+    )
+
+    assert print_obj(listener.stream.current_completion_snapshot.choices, monkeypatch) == snapshot(
+        """\
+[
+    ParsedChatCompletionChoice[object](
+        finish_reason='tool_calls',
+        index=0,
+        logprobs=None,
+        message=ParsedChatCompletionMessage[object](
+            content=None,
+            graph_data=None,
+            llm_data=None,
+            parsed=None,
+            refusal=None,
+            role='assistant',
+            tool_calls=[
+                ParsedFunctionToolCall(
+                    function=ParsedFunction(
+                        arguments='{"city":"Edinburgh","country":"UK","units":"c"}',
+                        name='GetWeatherArgs',
+                        parsed_arguments=GetWeatherArgs(city='Edinburgh', country='UK', units='c')
+                    ),
+                    id='call_c91SqDXlYFuETYv8mUHzz6pp',
+                    index=0,
+                    type='function'
+                )
+            ]
+        )
+    )
+]
+"""
+    )
+
+    assert print_obj(listener.stream.get_final_completion().choices, monkeypatch) == snapshot(
+        """\
+[
+    ParsedChatCompletionChoice[NoneType](
+        finish_reason='tool_calls',
+        index=0,
+        logprobs=None,
+        message=ParsedChatCompletionMessage[NoneType](
+            content=None,
+            graph_data=None,
+            llm_data=None,
+            parsed=None,
+            refusal=None,
+            role='assistant',
+            tool_calls=[
+                ParsedFunctionToolCall(
+                    function=ParsedFunction(
+                        arguments='{"city":"Edinburgh","country":"UK","units":"c"}',
+                        name='GetWeatherArgs',
+                        parsed_arguments=GetWeatherArgs(city='Edinburgh', country='UK', units='c')
+                    ),
+                    id='call_c91SqDXlYFuETYv8mUHzz6pp',
+                    index=0,
+                    type='function'
+                )
+            ]
+        )
+    )
+]
+"""
+    )
+
+
+@pytest.mark.respx(base_url=base_url)
+def test_parse_multiple_pydantic_tools(client: Writer, respx_mock: MockRouter, monkeypatch: pytest.MonkeyPatch) -> None:
+    class GetWeatherArgs(BaseModel):
+        """Get the temperature for the given country/city combo"""
+
+        city: str
+        country: str
+        units: Literal["c", "f"] = "c"
+
+    class GetStockPrice(BaseModel):
+        ticker: str
+        exchange: str
+
+    listener = _make_stream_snapshot_request(
+        lambda c: c.chat.stream(
+            model="palmyra-x-003-instruct",
+            messages=[
+                {
+                    "role": "user",
+                    "content": "What's the weather like in Edinburgh?",
+                },
+                {
+                    "role": "user",
+                    "content": "What's the price of AAPL?",
+                },
+            ],
+            tools=[
+                writerai.pydantic_function_tool(GetWeatherArgs),
+                writerai.pydantic_function_tool(
+                    GetStockPrice, name="get_stock_price", description="Fetch the latest price for a given ticker"
+                ),
+            ],
+        ),
+        content_snapshot=snapshot(external("f82268f2fefd*.writer")),
+        openai_content_snapshot=snapshot(external("f82268f2fefd*.openai")),
+        mock_client=client,
+        respx_mock=respx_mock,
+    )
+
+    assert print_obj(listener.stream.current_completion_snapshot.choices, monkeypatch) == snapshot(
+        """\
+[
+    ParsedChatCompletionChoice[object](
+        finish_reason='tool_calls',
+        index=0,
+        logprobs=None,
+        message=ParsedChatCompletionMessage[object](
+            content=None,
+            graph_data=None,
+            llm_data=None,
+            parsed=None,
+            refusal=None,
+            role='assistant',
+            tool_calls=[
+                ParsedFunctionToolCall(
+                    function=ParsedFunction(
+                        arguments='{"city": "Edinburgh", "country": "GB", "units": "c"}',
+                        name='GetWeatherArgs',
+                        parsed_arguments=GetWeatherArgs(city='Edinburgh', country='GB', units='c')
+                    ),
+                    id='call_JMW1whyEaYG438VE1OIflxA2',
+                    index=0,
+                    type='function'
+                ),
+                ParsedFunctionToolCall(
+                    function=ParsedFunction(
+                        arguments='{"ticker": "AAPL", "exchange": "NASDAQ"}',
+                        name='get_stock_price',
+                        parsed_arguments=GetStockPrice(exchange='NASDAQ', ticker='AAPL')
+                    ),
+                    id='call_DNYTawLBoN8fj3KN6qU9N1Ou',
+                    index=1,
+                    type='function'
+                )
+            ]
+        )
+    )
+]
+"""
+    )
+    completion = listener.stream.get_final_completion()
+    assert print_obj(completion.choices[0].message.tool_calls, monkeypatch) == snapshot(
+        """\
+[
+    ParsedFunctionToolCall(
+        function=ParsedFunction(
+            arguments='{"city": "Edinburgh", "country": "GB", "units": "c"}',
+            name='GetWeatherArgs',
+            parsed_arguments=GetWeatherArgs(city='Edinburgh', country='GB', units='c')
+        ),
+        id='call_JMW1whyEaYG438VE1OIflxA2',
+        index=0,
+        type='function'
+    ),
+    ParsedFunctionToolCall(
+        function=ParsedFunction(
+            arguments='{"ticker": "AAPL", "exchange": "NASDAQ"}',
+            name='get_stock_price',
+            parsed_arguments=GetStockPrice(exchange='NASDAQ', ticker='AAPL')
+        ),
+        id='call_DNYTawLBoN8fj3KN6qU9N1Ou',
+        index=1,
+        type='function'
+    )
+]
+"""
+    )
+
+
+# @pytest.mark.respx(base_url=base_url)
+# def test_parse_strict_tools(client: Writer, respx_mock: MockRouter, monkeypatch: pytest.MonkeyPatch) -> None:
+#     listener = _make_stream_snapshot_request(
+#         lambda c: c.chat.stream(
+#             model="palmyra-x-003-instruct",
+#             messages=[
+#                 {
+#                     "role": "user",
+#                     "content": "What's the weather like in SF?",
+#                 },
+#             ],
+#             tools=[
+#                 {
+#                     "type": "function",
+#                     "function": {
+#                         "name": "get_weather",
+#                         "parameters": {
+#                             "type": "object",
+#                             "properties": {
+#                                 "city": {"type": "string"},
+#                                 "state": {"type": "string"},
+#                             },
+#                             "required": [
+#                                 "city",
+#                                 "state",
+#                             ],
+#                             "additionalProperties": False,
+#                         },
+#                         "strict": True,
+#                     },
+#                 }
+#             ],
+#         ),
+#         content_snapshot=snapshot(external("a247c49c5fcd*_bin")),
+#         mock_client=client,
+#         respx_mock=respx_mock,
+#     )
+
+#     assert print_obj(listener.stream.current_completion_snapshot.choices, monkeypatch) == snapshot(
+#         """\
+# [
+#     ParsedChatCompletionChoice[object](
+#         finish_reason='tool_calls',
+#         index=0,
+#         logprobs=None,
+#         message=ParsedChatCompletionMessage[object](
+#             content=None,
+#             graph_data=None,
+#             parsed=None,
+#             refusal=None,
+#             role='assistant',
+#             tool_calls=[
+#                 ParsedFunctionToolCall(
+#                     function=ParsedFunction(
+#                         arguments='{"city":"San Francisco","state":"CA"}',
+#                         name='get_weather',
+#                         parsed_arguments={'city': 'San Francisco', 'state': 'CA'}
+#                     ),
+#                     id='call_CTf1nWJLqSeRgDqaCG27xZ74',
+#                     index=0,
+#                     type='function'
+#                 )
+#             ]
+#         )
+#     )
+# ]
+# """
+#     )
+
+
+@pytest.mark.respx(base_url=base_url)
+def test_non_pydantic_response_format(client: Writer, respx_mock: MockRouter, monkeypatch: pytest.MonkeyPatch) -> None:
+    listener = _make_stream_snapshot_request(
+        lambda c: c.chat.stream(
+            model="palmyra-x-003-instruct",
+            messages=[
+                {
+                    "role": "user",
+                    "content": "What's the weather like in SF? Give me any JSON back",
+                },
+            ],
+            # response_format={"type": "json_object"},
+        ),
+        content_snapshot=snapshot(external("d61558011839*.writer")),
+        openai_content_snapshot=snapshot(external("d61558011839*.openai")),
+        mock_client=client,
+        respx_mock=respx_mock,
+    )
+
+    assert print_obj(listener.stream.get_final_completion().choices, monkeypatch) == snapshot(
+        """\
+[
+    ParsedChatCompletionChoice[NoneType](
+        finish_reason='stop',
+        index=0,
+        logprobs=None,
+        message=ParsedChatCompletionMessage[NoneType](
+            content='\\n  {\\n    "location": "San Francisco, CA",\\n    "weather": {\\n      "temperature": "18°C",\\n      
+"condition": "Partly Cloudy",\\n      "humidity": "72%",\\n      "windSpeed": "15 km/h",\\n      "windDirection": "NW"\\n   
+},\\n    "forecast": [\\n      {\\n        "day": "Monday",\\n        "high": "20°C",\\n        "low": "14°C",\\n        
+"condition": "Sunny"\\n      },\\n      {\\n        "day": "Tuesday",\\n        "high": "19°C",\\n        "low": "15°C",\\n   
+"condition": "Mostly Cloudy"\\n      },\\n      {\\n        "day": "Wednesday",\\n        "high": "18°C",\\n        "low": 
+"14°C",\\n        "condition": "Cloudy"\\n      }\\n    ]\\n  }\\n',
+            graph_data=None,
+            llm_data=None,
+            parsed=None,
+            refusal=None,
+            role='assistant',
+            tool_calls=[]
+        )
+    )
+]
+"""
+    )
+
+
+@pytest.mark.respx(base_url=base_url)
+def test_allows_non_strict_tools_but_no_parsing(
+    client: Writer, respx_mock: MockRouter, monkeypatch: pytest.MonkeyPatch
+) -> None:
+    listener = _make_stream_snapshot_request(
+        lambda c: c.chat.stream(
+            model="palmyra-x-003-instruct",
+            messages=[{"role": "user", "content": "what's the weather in NYC?"}],
+            tools=[
+                {
+                    "type": "function",
+                    "function": {
+                        "name": "get_weather",
+                        "parameters": {"type": "object", "properties": {"city": {"type": "string"}}},
+                    },
+                }
+            ],
+        ),
+        content_snapshot=snapshot(external("2018feb66ae1*.writer")),
+        openai_content_snapshot=snapshot(external("2018feb66ae1*.openai")),
+        mock_client=client,
+        respx_mock=respx_mock,
+    )
+
+    assert print_obj(listener.get_event_by_type("tool_calls.function.arguments.done"), monkeypatch) == snapshot("""\
+FunctionToolCallArgumentsDoneEvent(
+    arguments='{"city":"New York City"}',
+    index=0,
+    name='get_weather',
+    parsed_arguments=None,
+    tool_call_snapshot_id='call_4XzlGBLtUe9dy3GVNV4jhq7h',
+    type='tool_calls.function.arguments.done'
+)
+""")
+
+    assert print_obj(listener.stream.get_final_completion().choices, monkeypatch) == snapshot(
+        """\
+[
+    ParsedChatCompletionChoice[NoneType](
+        finish_reason='tool_calls',
+        index=0,
+        logprobs=None,
+        message=ParsedChatCompletionMessage[NoneType](
+            content=None,
+            graph_data=None,
+            llm_data=None,
+            parsed=None,
+            refusal=None,
+            role='assistant',
+            tool_calls=[
+                ParsedFunctionToolCall(
+                    function=ParsedFunction(
+                        arguments='{"city":"New York City"}',
+                        name='get_weather',
+                        parsed_arguments=None
+                    ),
+                    id='call_4XzlGBLtUe9dy3GVNV4jhq7h',
+                    index=0,
+                    type='function'
+                )
+            ]
+        )
+    )
+]
+"""
+    )
+
+
+@pytest.mark.parametrize("sync", [True, False], ids=["sync", "async"])
+def test_stream_method_in_sync(sync: bool, client: Writer, async_client: AsyncWriter) -> None:
+    checking_client: Writer | AsyncWriter = client if sync else async_client
+
+    assert_signatures_in_sync(
+        checking_client.chat.chat,
+        checking_client.chat.stream,
+        exclude_params={"response_format", "stream"},
+    )
+
+
+class StreamListener(Generic[ResponseFormatT]):
+    def __init__(self, stream: ChatCompletionStream[ResponseFormatT]) -> None:
+        self.stream = stream
+        self.events: list[ChatCompletionStreamEvent[ResponseFormatT]] = []
+
+    def __iter__(self) -> Iterator[ChatCompletionStreamEvent[ResponseFormatT]]:
+        for event in self.stream:
+            self.events.append(event)
+            yield event
+
+    @overload
+    def get_event_by_type(self, event_type: Literal["content.done"]) -> ContentDoneEvent[ResponseFormatT] | None: ...
+
+    @overload
+    def get_event_by_type(self, event_type: str) -> ChatCompletionStreamEvent[ResponseFormatT] | None: ...
+
+    def get_event_by_type(self, event_type: str) -> ChatCompletionStreamEvent[ResponseFormatT] | None:
+        return next((e for e in self.events if e.type == event_type), None)
+
+
+def _make_stream_snapshot_request(
+    func: Callable[[Writer], ChatCompletionStreamManager[ResponseFormatT]],
+    *,
+    content_snapshot: Any,
+    openai_content_snapshot: Any,
+    respx_mock: MockRouter,
+    mock_client: Writer,
+    on_event: Callable[[ChatCompletionStream[ResponseFormatT], ChatCompletionStreamEvent[ResponseFormatT]], Any]
+    | None = None,
+) -> StreamListener[ResponseFormatT]:
+    def mock_response(snapshot: Any) -> Writer:
+        respx_mock.post("/v1/chat").mock(
+            return_value=httpx.Response(
+                200,
+                content=snapshot._old_value._load_value(),
+                headers={"content-type": "text/event-stream"},
+            )
+        )
+        return mock_client
+
+    def consume_stream(client: Writer) -> StreamListener[ResponseFormatT]:
+        with func(client) as stream:
+            listener = StreamListener(stream)
+
+            for event in listener:
+                if on_event:
+                    on_event(stream, event)
+            return listener
+
+    # Test against Writer's content snapshot
+    live = os.environ.get("WRITER_LIVE") == "1"
+    if live:
+
+        def _on_response(response: httpx.Response) -> None:
+            # update Writer's content snapshot
+            assert outsource(response.read(), suffix=".writer") == content_snapshot
+
+        respx_mock.stop()
+
+        client = Writer(
+            http_client=httpx.Client(
+                event_hooks={
+                    "response": [_on_response],
+                }
+            )
+        )
+    else:
+        client = mock_response(content_snapshot)
+
+    writer_listener = consume_stream(client)
+
+    if live:
+        client.close()
+
+    # Ensure compatibility with OpenAI's content snapshot
+    client = mock_response(openai_content_snapshot)
+    consume_stream(client)
+
+    return writer_listener
diff --git a/tests/test_client.py b/tests/test_client.py
index 7d9acb8e..5a2f6c16 100644
--- a/tests/test_client.py
+++ b/tests/test_client.py
@@ -735,7 +735,7 @@ def test_retrying_timeout_errors_doesnt_leak(self, respx_mock: MockRouter) -> No
                         dict(
                             messages=[
                                 {
-                                    "content": "Write a poem about Python",
+                                    "content": "Write a haiku about programming",
                                     "role": "user",
                                 }
                             ],
@@ -764,7 +764,7 @@ def test_retrying_status_errors_doesnt_leak(self, respx_mock: MockRouter) -> Non
                         dict(
                             messages=[
                                 {
-                                    "content": "Write a poem about Python",
+                                    "content": "Write a haiku about programming",
                                     "role": "user",
                                 }
                             ],
@@ -1555,7 +1555,7 @@ async def test_retrying_timeout_errors_doesnt_leak(self, respx_mock: MockRouter)
                         dict(
                             messages=[
                                 {
-                                    "content": "Write a poem about Python",
+                                    "content": "Write a haiku about programming",
                                     "role": "user",
                                 }
                             ],
@@ -1584,7 +1584,7 @@ async def test_retrying_status_errors_doesnt_leak(self, respx_mock: MockRouter)
                         dict(
                             messages=[
                                 {
-                                    "content": "Write a poem about Python",
+                                    "content": "Write a haiku about programming",
                                     "role": "user",
                                 }
                             ],
diff --git a/tests/test_models.py b/tests/test_models.py
index d0a41b28..91faed5a 100644
--- a/tests/test_models.py
+++ b/tests/test_models.py
@@ -854,3 +854,35 @@ class Model(BaseModel):
     m = construct_type(value={"cls": "foo"}, type_=Model)
     assert isinstance(m, Model)
     assert isinstance(m.cls, str)
+
+
+def test_discriminated_union_case() -> None:
+    class A(BaseModel):
+        type: Literal["a"]
+
+        data: bool
+
+    class B(BaseModel):
+        type: Literal["b"]
+
+        data: List[Union[A, object]]
+
+    class ModelA(BaseModel):
+        type: Literal["modelA"]
+
+        data: int
+
+    class ModelB(BaseModel):
+        type: Literal["modelB"]
+
+        required: str
+
+        data: Union[A, B]
+
+    # when constructing ModelA | ModelB, value data doesn't match ModelB exactly - missing `required`
+    m = construct_type(
+        value={"type": "modelB", "data": {"type": "a", "data": True}},
+        type_=cast(Any, Annotated[Union[ModelA, ModelB], PropertyInfo(discriminator="type")]),
+    )
+
+    assert isinstance(m, ModelB)
diff --git a/tests/utils.py b/tests/utils.py
index 64664db4..8d8f1908 100644
--- a/tests/utils.py
+++ b/tests/utils.py
@@ -1,5 +1,6 @@
 from __future__ import annotations
 
+import io
 import os
 import inspect
 import traceback
@@ -8,6 +9,8 @@
 from datetime import date, datetime
 from typing_extensions import Literal, get_args, get_origin, assert_type
 
+import rich
+
 from writerai._types import Omit, NoneType
 from writerai._utils import (
     is_dict,
@@ -142,6 +145,16 @@ def _assert_list_type(type_: type[object], value: object) -> None:
         assert_type(inner_type, entry)  # type: ignore
 
 
+def rich_print_str(obj: object) -> str:
+    """Like `rich.print()` but returns the string instead"""
+    buf = io.StringIO()
+
+    console = rich.console.Console(file=buf, width=120)
+    console.print(obj)
+
+    return buf.getvalue()
+
+
 @contextlib.contextmanager
 def update_env(**new_env: str | Omit) -> Iterator[None]:
     old = os.environ.copy()