diff --git a/examples/agent/README.md b/examples/agent/README.md
index 8e9dec469..48a4e9931 100644
--- a/examples/agent/README.md
+++ b/examples/agent/README.md
@@ -138,19 +138,28 @@ If you'd like to debug each binary separately (rather than have an agent spawing
 ```bash
 # C++ server
 make -j server
-./server --model mixtral.gguf --port 8081
+./server \
+    --model mixtral.gguf \
+    --metrics \
+    -ctk q4_0 \
+    -ctv f16 \
+    -c 32768 \
+    --port 8081
 
 # OpenAI compatibility layer
 python -m examples.openai \
-    --port 8080
+    --port 8080 \
     --endpoint http://localhost:8081 \
-    --template_hf_model_id_fallback mistralai/Mixtral-8x7B-Instruct-v0.1
+    --template-hf-model-id-fallback mistralai/Mixtral-8x7B-Instruct-v0.1
 
 # Or have the OpenAI compatibility layer spawn the C++ server under the hood:
 #   python -m examples.openai --model mixtral.gguf
 
 # Agent itself:
 python -m examples.agent --endpoint http://localhost:8080 \
+    --tools examples/agent/tools/example_summaries.py \
+    --format PyramidalSummary \
+    --goal "Create a pyramidal summary of Mankind's recent advancements"
 ```
 
 ## Use existing tools (WIP)
diff --git a/examples/agent/agent.py b/examples/agent/agent.py
index e7373eb28..7249a1fbd 100644
--- a/examples/agent/agent.py
+++ b/examples/agent/agent.py
@@ -10,7 +10,7 @@ import json, requests
 
 from examples.json_schema_to_grammar import SchemaConverter
 from examples.agent.tools.std_tools import StandardTools
-from examples.openai.api import ChatCompletionRequest, ChatCompletionResponse, Message, Tool, ToolFunction
+from examples.openai.api import ChatCompletionRequest, ChatCompletionResponse, Message, ResponseFormat, Tool, ToolFunction
 from examples.agent.utils import collect_functions, load_module
 from examples.openai.prompting import ToolsPromptStyle
 
@@ -46,7 +46,7 @@ def completion_with_tool_usage(
         else:
             type_adapter = TypeAdapter(response_model)
             schema = type_adapter.json_schema()
-        response_format={"type": "json_object", "schema": schema }
+        response_format=ResponseFormat(type="json_object", schema=schema)
 
     tool_map = {fn.__name__: fn for fn in tools}
     tools_schemas = [
@@ -77,14 +77,15 @@ def completion_with_tool_usage(
         if auth:
             headers["Authorization"] = auth
         response = requests.post(
-            endpoint,
+            f'{endpoint}/v1/chat/completions',
             headers=headers,
             json=request.model_dump(),
         )
         if response.status_code != 200:
             raise Exception(f"Request failed ({response.status_code}): {response.text}")
 
-        response = ChatCompletionResponse(**response.json())
+        response_json = response.json()
+        response = ChatCompletionResponse(**response_json)
         if verbose:
             sys.stderr.write(f'# RESPONSE: {response.model_dump_json(indent=2)}\n')
         if response.error:
@@ -169,7 +170,7 @@ def main(
     if not endpoint:
         server_port = 8080
         server_host = 'localhost'
-        endpoint: str = f'http://{server_host}:{server_port}/v1/chat/completions'
+        endpoint = f'http://{server_host}:{server_port}'
         if verbose:
             sys.stderr.write(f"# Starting C++ server with model {model} on {endpoint}\n")
         cmd = [
diff --git a/examples/openai/api.py b/examples/openai/api.py
index 7780d8bc4..8f74cf99f 100644
--- a/examples/openai/api.py
+++ b/examples/openai/api.py
@@ -28,8 +28,8 @@ class Tool(BaseModel):
     function: ToolFunction
 
 class ResponseFormat(BaseModel):
-    type: str
-    json_schema: Optional[Any] = None
+    type: Literal["json_object"]
+    schema: Optional[Dict] = None
 
 class LlamaCppParams(BaseModel):
     n_predict: Optional[int] = None
diff --git a/examples/openai/prompting.py b/examples/openai/prompting.py
index 29a48ef43..b3b4848a0 100644
--- a/examples/openai/prompting.py
+++ b/examples/openai/prompting.py
@@ -712,15 +712,19 @@ def get_chat_handler(args: ChatHandlerArgs, parallel_calls: bool, tool_style: Op
     else:
         raise ValueError(f"Unsupported tool call style: {args.chat_template.tool_style}")
 
-_ts_converter = SchemaToTypeScriptConverter()
-
 # os.environ.get('NO_TS')
 def _please_respond_with_schema(schema: dict) -> str:
     # sig = json.dumps(schema, indent=2)
+    _ts_converter = SchemaToTypeScriptConverter()
+    _ts_converter.resolve_refs(schema, 'schema')
     sig = _ts_converter.visit(schema)
     return f'Please respond in JSON format with the following schema: {sig}'
 
 def _tools_typescript_signatures(tools: list[Tool]) -> str:
+    _ts_converter = SchemaToTypeScriptConverter()
+    for tool in tools:
+        _ts_converter.resolve_refs(tool.function.parameters, tool.function.name)
+
     return 'namespace functions {\n' + '\n'.join(
         '// ' + tool.function.description.replace('\n', '\n// ') + '\n' + ''
         'type ' + tool.function.name + ' = (_: ' + _ts_converter.visit(tool.function.parameters) + ") => any;\n"
diff --git a/examples/openai/server.py b/examples/openai/server.py
index aa2dba211..21e69fa92 100644
--- a/examples/openai/server.py
+++ b/examples/openai/server.py
@@ -73,7 +73,7 @@ def main(
         ]
         server_process = subprocess.Popen(cmd, stdout=sys.stderr)
         atexit.register(server_process.kill)
-        endpoint = f"http://{server_host}:{server_port}/completions"
+        endpoint = f"http://{server_host}:{server_port}"
 
 
     # print(chat_template.render([
@@ -125,7 +125,7 @@ def main(
 
         if chat_request.response_format is not None:
             assert chat_request.response_format.type == "json_object", f"Unsupported response format: {chat_request.response_format.type}"
-            response_schema = chat_request.response_format.json_schema or {}
+            response_schema = chat_request.response_format.schema or {}
         else:
             response_schema = None
 
@@ -164,7 +164,7 @@ def main(
 
         async with httpx.AsyncClient() as client:
             response = await client.post(
-                f"{endpoint}",
+                f'{endpoint}/completions',
                 json=data,
                 headers=headers,
                 timeout=None)
diff --git a/examples/openai/ts_converter.py b/examples/openai/ts_converter.py
index 7ba5c439f..3c04bab7d 100644
--- a/examples/openai/ts_converter.py
+++ b/examples/openai/ts_converter.py
@@ -14,6 +14,56 @@ class SchemaToTypeScriptConverter:
     # // where to get weather.
     # location: string,
     # }) => any;
+
+    def __init__(self):
+        self._refs = {}
+        self._refs_being_resolved = set()
+
+    def resolve_refs(self, schema: dict, url: str):
+        '''
+            Resolves all $ref fields in the given schema, fetching any remote schemas,
+            replacing $ref with absolute reference URL and populating self._refs with the
+            respective referenced (sub)schema dictionaries.
+        '''
+        def visit(n: dict):
+            if isinstance(n, list):
+                return [visit(x) for x in n]
+            elif isinstance(n, dict):
+                ref = n.get('$ref')
+                if ref is not None and ref not in self._refs:
+                    if ref.startswith('https://'):
+                        assert self._allow_fetch, 'Fetching remote schemas is not allowed (use --allow-fetch for force)'
+                        import requests
+
+                        frag_split = ref.split('#')
+                        base_url = frag_split[0]
+
+                        target = self._refs.get(base_url)
+                        if target is None:
+                            target = self.resolve_refs(requests.get(ref).json(), base_url)
+                            self._refs[base_url] = target
+
+                        if len(frag_split) == 1 or frag_split[-1] == '':
+                            return target
+                    elif ref.startswith('#/'):
+                        target = schema
+                        ref = f'{url}{ref}'
+                        n['$ref'] = ref
+                    else:
+                        raise ValueError(f'Unsupported ref {ref}')
+
+                    for sel in ref.split('#')[-1].split('/')[1:]:
+                        assert target is not None and sel in target, f'Error resolving ref {ref}: {sel} not in {target}'
+                        target = target[sel]
+
+                    self._refs[ref] = target
+                else:
+                    for v in n.values():
+                        visit(v)
+
+            return n
+        return visit(schema)
+
     def _desc_comment(self, schema: dict):
         desc = schema.get("description", "").replace("\n", "\n// ") if 'description' in schema else None
         return f'// {desc}\n' if desc else ''
@@ -78,7 +128,7 @@ class SchemaToTypeScriptConverter:
                 else:
                     add_component(t, is_required=True)
 
-            return self._build_object_rule(properties, required, additional_properties=[])
+            return self._build_object_rule(properties, required, additional_properties={})
 
         elif schema_type in (None, 'array') and ('items' in schema or 'prefixItems' in schema):
             items = schema.get('items') or schema['prefixItems']
@@ -94,4 +144,4 @@ class SchemaToTypeScriptConverter:
             return 'any'
 
         else:
-            return 'number' if schema_type == 'integer' else schema_type
+            return 'number' if schema_type == 'integer' else schema_type or 'any'