diff --git a/examples/internal/antonio/agents/.envrc b/examples/internal/antonio/agents/.envrc
new file mode 100644
index 0000000000..40448e65cf
--- /dev/null
+++ b/examples/internal/antonio/agents/.envrc
@@ -0,0 +1 @@
+dotenv
\ No newline at end of file
diff --git a/examples/internal/antonio/agents/.gitignore b/examples/internal/antonio/agents/.gitignore
new file mode 100644
index 0000000000..a4ecc50a82
--- /dev/null
+++ b/examples/internal/antonio/agents/.gitignore
@@ -0,0 +1 @@
+baml_client
\ No newline at end of file
diff --git a/examples/internal/antonio/agents/.python-version b/examples/internal/antonio/agents/.python-version
new file mode 100644
index 0000000000..c8cfe39591
--- /dev/null
+++ b/examples/internal/antonio/agents/.python-version
@@ -0,0 +1 @@
+3.10
diff --git a/examples/internal/antonio/agents/README.md b/examples/internal/antonio/agents/README.md
new file mode 100644
index 0000000000..bb846e47d0
--- /dev/null
+++ b/examples/internal/antonio/agents/README.md
@@ -0,0 +1,29 @@
+# stock-agent
+
+Python BAML workflow
+
+## Setup
+
+```bash
+# Set your Boundary API key in .env
+echo BOUNDARY_API_KEY=sk-key-YOUR_KEY > .env
+
+# Allow direnv (if using)
+direnv allow
+
+# Set up everything (install deps, build BAML, generate)
+pnpm setup
+
+# Run the workflow
+pnpm dev
+```
+
+## Available Scripts
+
+- `pnpm dev` - Run the Python workflow
+- `pnpm setup` - One-liner setup (sync + build:baml + generate)
+- `pnpm sync` - Install/update Python dependencies
+- `pnpm build:baml` - Build BAML Python client
+- `pnpm generate` - Generate BAML client code
+- `pnpm test` - Run tests
+- `pnpm typecheck` - Run type checking with mypy
diff --git a/examples/internal/antonio/agents/baml_src/clients.baml b/examples/internal/antonio/agents/baml_src/clients.baml
new file mode 100644
index 0000000000..87e42cd4a2
--- /dev/null
+++ b/examples/internal/antonio/agents/baml_src/clients.baml
@@ -0,0 +1,142 @@
+// Learn more about clients at https://docs.boundaryml.com/docs/snippets/clients/overview
+
+// Using the new OpenAI Responses API for enhanced formatting
+client<llm> CustomGPT5 {
+  provider openai-responses
+  options {
+    model "gpt-5"
+    api_key env.OPENAI_API_KEY
+  }
+}
+
+client<llm> CustomGPT5Mini {
+  provider openai-responses
+  retry_policy Exponential
+  options {
+    model "gpt-5-mini"
+    api_key env.OPENAI_API_KEY
+  }
+}
+
+// Openai with chat completion
+client<llm> CustomGPT5Chat {
+  provider openai
+  options {
+    model "gpt-5"
+    api_key env.OPENAI_API_KEY
+  }
+}
+
+// Latest Anthropic Claude 4 models
+client<llm> CustomOpus4 {
+  provider anthropic
+  options {
+    model "claude-opus-4-1-20250805"
+    api_key env.ANTHROPIC_API_KEY
+  }
+}
+
+client<llm> CustomSonnet4 {
+  provider anthropic
+  options {
+    model "claude-sonnet-4-20250514"
+    api_key env.ANTHROPIC_API_KEY
+  }
+}
+
+client<llm> CustomHaiku {
+  provider anthropic
+  retry_policy Constant
+  options {
+    model "claude-3-5-haiku-20241022"
+    api_key env.ANTHROPIC_API_KEY
+  }
+}
+
+// Example Google AI client (uncomment to use)
+// client<llm> CustomGemini {
+//   provider google-ai
+//   options {
+//     model "gemini-2.5-pro"
+//     api_key env.GOOGLE_API_KEY
+//   }
+// }
+
+// Example AWS Bedrock client (uncomment to use)
+// client<llm> CustomBedrock {
+//   provider aws-bedrock
+//   options {
+//     model "anthropic.claude-sonnet-4-20250514-v1:0"
+//     region "us-east-1"
+//     // AWS credentials are auto-detected from env vars
+//   }
+// }
+
+// Example Azure OpenAI client (uncomment to use)
+// client<llm> CustomAzure {
+//   provider azure-openai
+//   options {
+//     model "gpt-5"
+//     api_key env.AZURE_OPENAI_API_KEY
+//     base_url "https://MY_RESOURCE_NAME.openai.azure.com/openai/deployments/MY_DEPLOYMENT_ID"
+//     api_version "2024-10-01-preview"
+//   }
+// }
+
+// Example Vertex AI client (uncomment to use)
+// client<llm> CustomVertex {
+//   provider vertex-ai
+//   options {
+//     model "gemini-2.5-pro"
+//     location "us-central1"
+//     // Uses Google Cloud Application Default Credentials
+//   }
+// }
+
+// Example Ollama client for local models (uncomment to use)
+// client<llm> CustomOllama {
+//   provider openai-generic
+//   options {
+//     base_url "http://localhost:11434/v1"
+//     model "llama4"
+//     default_role "user" // Most local models prefer the user role
+//     // No API key needed for local Ollama
+//   }
+// }
+
+// https://docs.boundaryml.com/docs/snippets/clients/round-robin
+client<llm> CustomFast {
+  provider round-robin
+  options {
+    // This will alternate between the two clients
+    strategy [CustomGPT5Mini, CustomHaiku]
+  }
+}
+
+// https://docs.boundaryml.com/docs/snippets/clients/fallback
+client<llm> OpenaiFallback {
+  provider fallback
+  options {
+    // This will try the clients in order until one succeeds
+    strategy [CustomGPT5Mini, CustomGPT5]
+  }
+}
+
+// https://docs.boundaryml.com/docs/snippets/clients/retry
+retry_policy Constant {
+  max_retries 3
+  strategy {
+    type constant_delay
+    delay_ms 200
+  }
+}
+
+retry_policy Exponential {
+  max_retries 2
+  strategy {
+    type exponential_backoff
+    delay_ms 300
+    multiplier 1.5
+    max_delay_ms 10000
+  }
+}
\ No newline at end of file
diff --git a/examples/internal/antonio/agents/baml_src/generators.baml b/examples/internal/antonio/agents/baml_src/generators.baml
new file mode 100644
index 0000000000..8bc6a9f423
--- /dev/null
+++ b/examples/internal/antonio/agents/baml_src/generators.baml
@@ -0,0 +1,18 @@
+// This helps use auto generate libraries you can use in the language of
+// your choice. You can have multiple generators if you use multiple languages.
+// Just ensure that the output_dir is different for each generator.
+generator target {
+    // Valid values: "python/pydantic", "typescript", "ruby/sorbet", "rest/openapi"
+    output_type "python/pydantic"
+
+    // Where the generated code will be saved (relative to baml_src/)
+    output_dir "../"
+
+    // The version of the BAML package you have installed (e.g. same version as your baml-py or @boundaryml/baml).
+    // The BAML VSCode extension version should also match this version.
+    version "0.211.2"
+
+    // Valid values: "sync", "async"
+    // This controls what `b.FunctionName()` will be (sync or async).
+    default_client_mode sync
+}
diff --git a/examples/internal/antonio/agents/baml_src/human_loop.baml b/examples/internal/antonio/agents/baml_src/human_loop.baml
new file mode 100644
index 0000000000..1429ae4c6e
--- /dev/null
+++ b/examples/internal/antonio/agents/baml_src/human_loop.baml
@@ -0,0 +1,101 @@
+function GenerateFamousPersonName(previous_names: string[]) -> string {
+    client CustomGPT5Mini
+    prompt #"
+        You are a famous person generator for a "Heads Up" guessing game.
+
+        Generate the name of a well-known famous person who:
+        - Is recognizable to most people
+        - Has distinctive characteristics that can be described with yes/no questions
+        - Is appropriate for all audiences
+        - Has a clear, unambiguous name
+
+        IMPORTANT: Check the list of what famous people you've already suggested
+        and NEVER repeat a person you've already suggested.
+
+        Already suggested names:
+        {{ previous_names }}
+
+        Examples: Albert Einstein, Beyoncé, Leonardo da Vinci, Oprah Winfrey, Michael Jordan
+
+        Return only the person's name, nothing else.
+    "#
+}
+
+class GuessResponse {
+    game_won bool
+    text string
+}
+
+class Message {
+    role "user" | "assistant"
+    content string
+}
+
+function TakeGuess(user_guess: string, famous_person_name: string, history: Message[]) -> GuessResponse {
+    client CustomGPT5Mini
+    prompt #"
+        You are a helpful game assistant for a "Heads Up" guessing game.
+
+        CRITICAL: You know the famous person's name but you must NEVER reveal it in any response.
+
+        When a user asks a question about the famous person:
+        - Answer truthfully based on the famous person provided
+        - Keep responses concise and friendly
+        - NEVER mention the person's name, even if it seems natural
+        - NEVER reveal gender, nationality, or other characteristics unless specifically asked about them
+        - Answer yes/no questions with clear "Yes" or "No" responses
+        - Be consistent - same question asked differently should get the same answer
+        - Ask for clarification if a question is unclear
+        - If multiple questions are asked at once, ask them to ask one at a time
+
+        When they make a guess:
+        - If correct: Congratulate them warmly
+        - If incorrect: Politely correct them and encourage them to try again
+
+        Encourage players to make a guess when they seem to have enough information.
+
+        {{ ctx.output_format }}
+
+        Conversation history:
+
+        {{ history }}
+
+        Here's the user input:
+
+        {{ user_guess }}
+    "#
+}
+
+function SimulateHumanGuess(history: Message[]) -> string {
+    client CustomGPT5Mini
+    prompt #"
+        You are playing a "Heads Up" guessing game. Given the conversation history,
+        you must take a guess at the famous person's name or ask a question about them.
+
+        Conversation history:
+
+        {{ history }}
+    "#
+}
+
+function GuessGameAgent() -> GuessResponse {
+    let history: Message[] = [];
+
+    let famous_person_name = GenerateFamousPersonName([]);
+
+    let user_input = SimulateHumanGuess(history);
+    let guess_response = TakeGuess(user_input, famous_person_name, history);
+
+    history.push(Message { role: "user", content: user_input });
+    history.push(Message { role: "assistant", content: guess_response.text });
+
+    while (!guess_response.game_won) {
+        user_input = SimulateHumanGuess(history);
+        guess_response = TakeGuess(user_input, famous_person_name, history);
+
+        history.push(Message { role: "user", content: user_input });
+        history.push(Message { role: "assistant", content: guess_response.text });
+    }
+
+    guess_response
+}
\ No newline at end of file
diff --git a/examples/internal/antonio/agents/baml_src/planning.baml b/examples/internal/antonio/agents/baml_src/planning.baml
new file mode 100644
index 0000000000..c842bae345
--- /dev/null
+++ b/examples/internal/antonio/agents/baml_src/planning.baml
@@ -0,0 +1,229 @@
+// Activities planning agent
+
+class CityGeoData {
+    id string
+    name string
+    latitude float
+    longitude float
+    elevation float
+    feature_code string
+    country_code string
+    admin1_id int
+    admin2_id int
+    admin3_id int
+    timezone string
+    population int
+    postcodes string[]
+    country_id int
+    country string
+    admin1 string
+    admin2 string
+    admin3 string
+}
+
+class GeoApiData {
+    results CityGeoData[]
+    generationtime_ms float
+}
+
+function GetCityGeoData(city: string) -> CityGeoData {
+    let url = "https://geocoding-api.open-meteo.com/v1/search?name=" + city + "&count=1";
+
+    let data = baml.fetch_as<GeoApiData>(url);
+
+    data.results[0]
+}
+
+class CurrentUnits {
+    time string
+    interval string
+    precipitation string
+    weathercode string
+}
+
+class HourlyUnits {
+    time string
+    precipitation_probability string
+    temperature_2m string
+}
+
+class Current {
+    time string
+    interval int
+    precipitation float
+    weathercode int
+}
+
+class Hourly {
+    time string[]
+    precipitation_probability float[]
+    temperature_2m float[]
+}
+
+class WeatherApiData {
+    latitude float
+    longitude float
+    generationtime_ms float
+    utc_offset_seconds int
+    timezone string
+    timezone_abbreviation string
+    elevation float
+    current_units CurrentUnits
+    current Current
+    hourly_units HourlyUnits
+    hourly Hourly
+}
+
+class Forecast {
+    date string
+    max_temp float
+    min_temp float
+    condition string
+    location string
+    precipitation_chance float
+}
+
+function GetWeatherCondition(weathercode: int) -> string {
+    if (weathercode == 0) {
+        return "Clear";
+    } else if (weathercode == 1) {
+        return "Mainly clear";
+    } else if (weathercode == 2) {
+        return "Partly cloudy";
+    } else if (weathercode == 3) {
+        return "Overcast";
+    } else if (weathercode == 45) {
+        return "Foggy";
+    } else if (weathercode == 48) {
+        return "Depositing rime fog";
+    } else if (weathercode == 51) {
+        return "Light drizzle";
+    } else if (weathercode == 53) {
+        return "Moderate drizzle";
+    } else if (weathercode == 55) {
+        return "Dense drizzle";
+    } else if (weathercode == 61) {
+        return "Slight rain";
+    } else if (weathercode == 63) {
+        return "Moderate rain";
+    } else if (weathercode == 65) {
+        return "Heavy rain";
+    } else if (weathercode == 71) {
+        return "Slight snow fall";
+    } else if (weathercode == 73) {
+        return "Moderate snow fall";
+    } else if (weathercode == 75) {
+        return "Heavy snow fall";
+    } else if (weathercode == 95) {
+        return "Thunderstorm";
+    }
+
+    return "Unknown";
+}
+
+function GetCityWeatherData(city: string) -> Forecast {
+    let geo_data = GetCityGeoData(city);
+    let url = "https://api.open-meteo.com/v1/forecast?latitude=" + baml.unstable.string(geo_data.latitude) + "&longitude=" + baml.unstable.string(geo_data.longitude) + "&current=precipitation,weathercode&timezone=auto,&hourly=precipitation_probability,temperature_2m";
+
+    let weather_data = baml.fetch_as<WeatherApiData>(url);
+
+    let max_temp = 0.0;
+    for (let t in weather_data.hourly.temperature_2m) {
+        if (t > max_temp) {
+            max_temp = t;
+        }
+    }
+
+    let min_temp = 0.0;
+    for (let t in weather_data.hourly.temperature_2m) {
+        if (t < min_temp) {
+            min_temp = t;
+        }
+    }
+
+    let precipitation_chance = 0.0;
+    for (let p in weather_data.hourly.precipitation_probability) {
+        if (p > precipitation_chance) {
+            precipitation_chance = p;
+        }
+    }
+
+    let condition = GetWeatherCondition(weather_data.current.weathercode);
+
+    Forecast {
+        date: weather_data.current.time,
+        max_temp: max_temp,
+        min_temp: min_temp,
+        condition: condition,
+        location: geo_data.name,
+        precipitation_chance: precipitation_chance,
+    }
+}
+
+function PlanningAgent(forecast: Forecast) -> string {
+    client CustomGPT5Mini
+    prompt #"
+        You are a local activities and travel expert who excels at weather-based planning. Analyze the weather data and provide practical activity recommendations.
+
+        📅 [Day, Month Date, Year]
+        ═══════════════════════════
+
+        🌡️ WEATHER SUMMARY
+        • Conditions: [brief description]
+        • Temperature: [X°C/Y°F to A°C/B°F]
+        • Precipitation: [X% chance]
+
+        🌅 MORNING ACTIVITIES
+        Outdoor:
+        • [Activity Name] - [Brief description including specific location/route]
+          Best timing: [specific time range]
+          Note: [relevant weather consideration]
+
+        🌞 AFTERNOON ACTIVITIES
+        Outdoor:
+        • [Activity Name] - [Brief description including specific location/route]
+          Best timing: [specific time range]
+          Note: [relevant weather consideration]
+
+        🏠 INDOOR ALTERNATIVES
+        • [Activity Name] - [Brief description including specific venue]
+          Ideal for: [weather condition that would trigger this alternative]
+
+        ⚠️ SPECIAL CONSIDERATIONS
+        • [Any relevant weather warnings, UV index, wind conditions, etc.]
+
+        Guidelines:
+        - Suggest 2-3 time-specific outdoor activities per day
+        - Include 1-2 indoor backup options
+        - For precipitation >50%, lead with indoor activities
+        - All activities must be specific to the location
+        - Include specific venues, trails, or locations
+        - Consider activity intensity based on temperature
+        - Keep descriptions concise but informative
+
+        Maintain this exact formatting for consistency, using the emoji and section headers as shown.
+
+        Here is the weather data:
+        {{ forecast }}
+    "#
+}
+
+function ExtractCityFromUserInput(user_input: string) -> string {
+    client CustomGPT5Mini
+    prompt #"
+        You are a helpful activity planning assistant. Extract the city name
+        from the user input so that we can make an API call to get the weather data.
+        Answer only with the city name, no other text.
+
+        User input:
+        {{ user_input }}
+    "#
+}
+
+function ActivityPlanningWorkflow(user_input: string) -> string {
+    let city = ExtractCityFromUserInput(user_input);
+    let forecast = GetCityWeatherData(city);
+    let plan = PlanningAgent(forecast);
+
+    return plan;
+}
\ No newline at end of file
diff --git a/examples/internal/antonio/agents/baml_src/recruiter.baml b/examples/internal/antonio/agents/baml_src/recruiter.baml
new file mode 100644
index 0000000000..d1cb1e2944
--- /dev/null
+++ b/examples/internal/antonio/agents/baml_src/recruiter.baml
@@ -0,0 +1,55 @@
+class CandidateInfo {
+    name string
+    is_technical bool
+    specialty string
+    resume_text string
+}
+
+function ExtractCandidateInfo(resume_text: string) -> CandidateInfo {
+    client CustomGPT5Mini
+    prompt #"
+        You are a recruiter. Extract information from a resume text.
+
+        {{ ctx.output_format }}
+
+        Resume text:
+
+        {{ resume_text }}
+    "#
+}
+
+function AskFollowUpTechnicalQuestion(candidate: CandidateInfo) -> string {
+    client CustomGPT5Mini
+    prompt #"
+        You are a technical recruiter. Craft a question for {{ candidate.name }}
+        about how they got into {{ candidate.specialty }}.
+
+        Candidate info:
+
+        {{ candidate_info }}
+    "#
+}
+
+function AskFollowUpBehavioralQuestion(candidate: CandidateInfo) -> string {
+    client CustomGPT5Mini
+    prompt #"
+        You are a recruiter. Craft a question for {{ candidate.name }}
+        asking what interests them about this role.
+
+        Candidate info:
+
+        {{ candidate_info }}
+    "#
+}
+
+function Recruiter(resume_text: string) -> string {
+    let candidate = ExtractCandidateInfo(resume_text);
+
+    let question = if (candidate.is_technical) {
+        AskFollowUpTechnicalQuestion(candidate)
+    } else {
+        AskFollowUpBehavioralQuestion(candidate)
+    };
+
+    question
+}
\ No newline at end of file
diff --git a/examples/internal/antonio/agents/baml_src/stock.baml b/examples/internal/antonio/agents/baml_src/stock.baml
new file mode 100644
index 0000000000..c85a47757a
--- /dev/null
+++ b/examples/internal/antonio/agents/baml_src/stock.baml
@@ -0,0 +1,64 @@
+// Fetch
+class StockApiData {
+    date string
+    prices map<string, string>
+}
+
+// Extract from user prompt
+class Stock {
+    company_name string
+    symbol string
+}
+
+// Provide tool call result to LLM
+class StockPriceMessage {
+    user_message string
+    stock Stock
+    price string @description(#"In USD"#)
+}
+
+// Execute tool in Baml
+function get_stock_price(symbol: string) -> string {
+    let url = "https://mastra-stock-data.vercel.app/api/stock-data?symbol=" + symbol;
+    let data = baml.fetch_as<StockApiData>(url);
+    let price = data.prices["4. close"];
+
+    price
+}
+
+// Extract symbol from user prompt.
+function ExtractStockData(message: string) -> Stock {
+    client CustomGPT5Mini
+    prompt #"
+        You are a helpful assistant that provides current stock prices.
+        When asked about a stock, extract the company and  stock symbol from it
+        (e.g Apple -> AAPL)
+
+        {{ ctx.output_format }}
+
+        User message:
+
+        {{ message }}
+    "#
+}
+
+function GenerateStockResponse(message: StockPriceMessage) -> string {
+    client CustomGPT5Mini
+    prompt #"
+        Generate a response for the user who asked about the price of a stock.
+        Don't ask any other questions, simply answer the user's question.
+
+        {{ message }}
+    "#
+}
+
+function StockAgent(message: string) -> string {
+    let stock = ExtractStockData(message);
+    let price = get_stock_price(stock.symbol);
+
+    GenerateStockResponse(StockPriceMessage {
+        user_message: message,
+        stock: stock,
+        price: price
+    })
+}
\ No newline at end of file
diff --git a/examples/internal/antonio/agents/build-baml.sh b/examples/internal/antonio/agents/build-baml.sh
new file mode 100644
index 0000000000..fc842ad9ca
--- /dev/null
+++ b/examples/internal/antonio/agents/build-baml.sh
@@ -0,0 +1,10 @@
+#!/bin/bash
+
+# Exit on error
+set -e
+# Echo each command
+set -x
+
+uv run maturin develop --uv --manifest-path ../../../../engine/language_client_python/Cargo.toml
+
+echo "You can now run: uv run baml-cli --help"
diff --git a/examples/internal/antonio/agents/hello.py b/examples/internal/antonio/agents/hello.py
new file mode 100644
index 0000000000..3a4b7dbc3e
--- /dev/null
+++ b/examples/internal/antonio/agents/hello.py
@@ -0,0 +1,41 @@
+from baml_client import b
+
+
+def stock_agent():
+    prompt = input("Ask LLM about stock price of a company: ")
+    response = b.StockAgent(prompt)
+    print(response)
+
+
+def recruiter_agent():
+    resume_text = input("Resume text: ")
+    response = b.Recruiter(resume_text)
+    print(response)
+
+
+def human_loop_agent():
+    response = b.GuessGameAgent()
+    print(response)
+
+def planning_agent():
+    user_input = input("Where do you want to plan activities?: ")
+    response = b.ActivityPlanningWorkflow(user_input)
+    print(response)
+
+
+def main():
+    agent = input("Which agent do you want to run? (stock_agent, recruiter_agent, human_loop_agent, planning_agent): ")
+    if agent == "stock_agent":
+        stock_agent()
+    elif agent == "recruiter_agent":
+        recruiter_agent()
+    elif agent == "human_loop_agent":
+        human_loop_agent()
+    elif agent == "planning_agent":
+        planning_agent()
+    else:
+        print("Invalid agent")
+
+
+if __name__ == "__main__":
+    main()
diff --git a/examples/internal/antonio/agents/package.json b/examples/internal/antonio/agents/package.json
new file mode 100644
index 0000000000..579ce68ee2
--- /dev/null
+++ b/examples/internal/antonio/agents/package.json
@@ -0,0 +1,16 @@
+{
+  "name": "stock-agent",
+  "version": "0.1.0",
+  "private": true,
+  "scripts": {
+    "dev": "uv run python hello.py",
+    "build:baml": "bash ./build-baml.sh",
+    "generate": "uv run baml-cli generate",
+    "baml-cli": "uv run baml-cli",
+    "sync": "uv sync",
+    "setup": "pnpm sync && pnpm build:baml && pnpm generate",
+    "test": "uv run pytest",
+    "typecheck": "uv run mypy ."
+  },
+  "devDependencies": {}
+}
\ No newline at end of file
diff --git a/examples/internal/antonio/agents/pyproject.toml b/examples/internal/antonio/agents/pyproject.toml
new file mode 100644
index 0000000000..e06ae88065
--- /dev/null
+++ b/examples/internal/antonio/agents/pyproject.toml
@@ -0,0 +1,11 @@
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+readme = "README.md"
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diff --git a/examples/internal/antonio/agents/uv.lock b/examples/internal/antonio/agents/uv.lock
new file mode 100644
index 0000000000..8c0d58f415
--- /dev/null
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