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-rw-r--r--src/agents/.gitignore2
-rw-r--r--src/agents/01-simple_agent/.python-version1
-rw-r--r--src/agents/01-simple_agent/README.md0
-rw-r--r--src/agents/01-simple_agent/main.py48
-rw-r--r--src/agents/01-simple_agent/models.json195
-rw-r--r--src/agents/01-simple_agent/pyproject.toml11
-rw-r--r--src/agents/01-simple_agent/uv.lock1003
7 files changed, 1260 insertions, 0 deletions
diff --git a/src/agents/.gitignore b/src/agents/.gitignore
new file mode 100644
index 0000000..055b8c0
--- /dev/null
+++ b/src/agents/.gitignore
@@ -0,0 +1,2 @@
+.venv/
+.env
diff --git a/src/agents/01-simple_agent/.python-version b/src/agents/01-simple_agent/.python-version
new file mode 100644
index 0000000..c8cfe39
--- /dev/null
+++ b/src/agents/01-simple_agent/.python-version
@@ -0,0 +1 @@
+3.10
diff --git a/src/agents/01-simple_agent/README.md b/src/agents/01-simple_agent/README.md
new file mode 100644
index 0000000..e69de29
--- /dev/null
+++ b/src/agents/01-simple_agent/README.md
diff --git a/src/agents/01-simple_agent/main.py b/src/agents/01-simple_agent/main.py
new file mode 100644
index 0000000..1d6e579
--- /dev/null
+++ b/src/agents/01-simple_agent/main.py
@@ -0,0 +1,48 @@
+from langchain_groq import ChatGroq
+from langchain_core.prompts import ChatPromptTemplate
+from langchain_core.runnables import RunnablePassthrough
+from dotenv import load_dotenv
+
+# Load environment variables (like GROQ_API_KEY) from .env file
+load_dotenv()
+
+# 1. Initialize the Chat Model
+# Groq Chat model with a specific version and settings
+model = ChatGroq(
+ model="llama-3.1-8b-instant",
+ temperature=0.0,
+ max_retries=2,
+)
+
+# 2. Define the Prompt Template
+# This defines the structure of the input, including the system role.
+prompt = ChatPromptTemplate.from_messages([
+ ("system", "You are a helpful, ethical, and thoughtful agent. Always provide a balanced and nuanced answer, especially for philosophical questions like the trolley problem."),
+ ("human", "{question}"),
+])
+
+# 3. Create the Chain (Simple Agent)
+# This chain sequences the prompt and the model.
+# RunnablePassthrough allows the input to flow through to the prompt.
+chain = prompt | model
+
+def run_agent_query(question: str):
+ print(f"--- Agent Query ---")
+ print(f"Question: {question}\n")
+ print(f"--- Agent Response (Streaming) ---")
+
+ # 4. Stream the response from the chain
+ # Pass the 'question' as the input to the chain.
+ for chunk in chain.stream({"question": question}):
+ # chunk.content is used for the output from a Chat Model in a chain
+ print(chunk.content, end="", flush=True)
+ print("\n---------------------------------")
+
+
+def main():
+ # The agent's query
+ query = "what is your answer to the trolley problem? Discuss the difference between a utilitarian and a deontological perspective."
+ run_agent_query(query)
+
+if __name__ == "__main__":
+ main()
diff --git a/src/agents/01-simple_agent/models.json b/src/agents/01-simple_agent/models.json
new file mode 100644
index 0000000..17ebf07
--- /dev/null
+++ b/src/agents/01-simple_agent/models.json
@@ -0,0 +1,195 @@
+{
+ "object": "list",
+ "data": [
+ {
+ "id": "meta-llama/llama-4-maverick-17b-128e-instruct",
+ "object": "model",
+ "created": 1743877158,
+ "owned_by": "Meta",
+ "active": true,
+ "context_window": 131072,
+ "public_apps": null,
+ "max_completion_tokens": 8192
+ },
+ {
+ "id": "meta-llama/llama-prompt-guard-2-86m",
+ "object": "model",
+ "created": 1748632165,
+ "owned_by": "Meta",
+ "active": true,
+ "context_window": 512,
+ "public_apps": null,
+ "max_completion_tokens": 512
+ },
+ {
+ "id": "whisper-large-v3",
+ "object": "model",
+ "created": 1693721698,
+ "owned_by": "OpenAI",
+ "active": true,
+ "context_window": 448,
+ "public_apps": null,
+ "max_completion_tokens": 448
+ },
+ {
+ "id": "meta-llama/llama-guard-4-12b",
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+ "owned_by": "Meta",
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+ "context_window": 131072,
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+ "max_completion_tokens": 1024
+ },
+ {
+ "id": "moonshotai/kimi-k2-instruct",
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+ "owned_by": "Moonshot AI",
+ "active": true,
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+ {
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+ "owned_by": "Meta",
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+ "max_completion_tokens": 512
+ },
+ {
+ "id": "groq/compound",
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+ "owned_by": "Groq",
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+ },
+ {
+ "id": "openai/gpt-oss-20b",
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+ },
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+ {
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+ "owned_by": "Meta",
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+ {
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+ "object": "model",
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+ "owned_by": "Moonshot AI",
+ "active": true,
+ "context_window": 262144,
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+ "max_completion_tokens": 16384
+ },
+ {
+ "id": "llama-3.3-70b-versatile",
+ "object": "model",
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+ "owned_by": "Meta",
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+ }
+ ]
+}
diff --git a/src/agents/01-simple_agent/pyproject.toml b/src/agents/01-simple_agent/pyproject.toml
new file mode 100644
index 0000000..de3b6bc
--- /dev/null
+++ b/src/agents/01-simple_agent/pyproject.toml
@@ -0,0 +1,11 @@
+[project]
+name = "01-simple-agent"
+version = "0.1.0"
+description = "Add your description here"
+readme = "README.md"
+requires-python = ">=3.10"
+dependencies = [
+ "dotenv>=0.9.9",
+ "langchain>=1.0.1",
+ "langchain-groq>=1.0.0",
+]
diff --git a/src/agents/01-simple_agent/uv.lock b/src/agents/01-simple_agent/uv.lock
new file mode 100644
index 0000000..fefb372
--- /dev/null
+++ b/src/agents/01-simple_agent/uv.lock
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+version = 1
+revision = 3
+requires-python = ">=3.10"
+
+[[package]]
+name = "01-simple-agent"
+version = "0.1.0"
+source = { virtual = "." }
+dependencies = [
+ { name = "dotenv" },
+ { name = "langchain" },
+ { name = "langchain-groq" },
+]
+
+[package.metadata]
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+ { name = "dotenv", specifier = ">=0.9.9" },
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