Sync from GitHub via hub-sync

.gradio/certificate.pem

@@ -0,0 +1,31 @@
+-----BEGIN CERTIFICATE-----
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+-----END CERTIFICATE-----

VERSION

@@ -1 +1 @@
-ded093e61cbf8b55e23e7751a0a2ffe76d0ab6b9
+7af57131ccbed63d444f4a45e8fa1a2a0fdce918

pyproject.toml

@@ -6,7 +6,10 @@ readme = "README.md"
 requires-python = ">=3.13"
 dependencies = [
     "ddgs>=9.14.1",
+    "e2b-code-interpreter>=2.6.2",
     "gradio>=5.49.1",
     "huggingface-hub>=1.11.0",
-    "smolagents[litellm,toolkit]>=1.22.0",
+    "numpy>=2.4.4",
+    "pandas>=3.0.2",
+    "smolagents[e2b,litellm,telemetry,toolkit]>=1.22.0",
 ]

smolagents/code001.py

@@ -1,12 +1,19 @@
 from smolagents import CodeAgent, InferenceClientModel , LiteLLMModel
 
 # Initialize a model (using Hugging Face Inference API)
-# model = InferenceClientModel("deepseek-ai/DeepSeek-V4-Flash")
-model = LiteLLMModel("openai/gpt-4.1-mini")
+model = InferenceClientModel("deepseek-ai/DeepSeek-V4-Flash")
+# model = LiteLLMModel("openai/gpt-4.1-mini")
 
 # Create an agent with no tools
 agent = CodeAgent(tools=[], model=model)
 
 # Run the agent with a task
 result = agent.run("Calculate the sum of numbers from 1 to 10")
-print(result)
+print(result)
+
+# messages = [
+#   {"role": "user", "content": [{"type": "text", "text": "Calculate the sum of numbers from 1 to 10"}]}
+# ]
+# # Note: Models are usually called by the Agent, 
+# # but you can call them directly with a list of messages like this:
+# print(model(messages))

smolagents/smol_e2b.py

@@ -0,0 +1,8 @@
+import time
+from smolagents import InferenceClientModel, CodeAgent
+
+
+with CodeAgent(model=InferenceClientModel("deepseek-ai/DeepSeek-V4-Flash"), tools=[], executor_type="e2b") as agent:
+    agent.run("Can you give me the 100th Fibonacci number?")
+    print("Waiting 5 seconds before shutting down sandbox...")
+    time.sleep(5)

smolagents/smol_gradio.py

@@ -0,0 +1,16 @@
+from smolagents import (
+    load_tool,
+    CodeAgent,
+    InferenceClientModel,
+    GradioUI
+)
+
+# Import tool from Hub
+image_generation_tool = load_tool("m-ric/text-to-image", trust_remote_code=True)
+
+model = InferenceClientModel()
+
+# Initialize the agent with the image generation tool
+agent = CodeAgent(tools=[image_generation_tool], model=model)
+
+GradioUI(agent).launch()

smolagents/smol_in_e2b.py

@@ -0,0 +1,53 @@
+from e2b_code_interpreter import Sandbox
+import os
+
+# Define your agent application
+agent_code = """
+import os
+from smolagents import CodeAgent, InferenceClientModel
+
+# Initialize the agents
+# Note: Using a specific model that is known to work with fireworks-ai
+model_id = "deepseek-ai/DeepSeek-V4-Flash"
+
+agent = CodeAgent(
+    model=InferenceClientModel(model_id=model_id, token=os.getenv("HF_TOKEN")),
+    tools=[],
+    name="coder_agent",
+    description="This agent takes care of your difficult algorithmic problems using code."
+)
+
+manager_agent = CodeAgent(
+    model=InferenceClientModel(model_id=model_id, token=os.getenv("HF_TOKEN")),
+    tools=[],
+    managed_agents=[agent],
+)
+
+# Run the agent
+response = manager_agent.run("What's the 5th Fibonacci number?")
+print(response)
+"""
+
+def run_code_raise_errors(sandbox, code: str) -> str:
+    execution = sandbox.run_code(
+        code,
+        envs={'HF_TOKEN': os.getenv('HF_TOKEN')}
+    )
+    if execution.error:
+        execution_logs = "\n".join([str(log) for log in execution.logs.stdout])
+        logs = execution_logs
+        logs += execution.error.traceback
+        raise ValueError(logs)
+    return "\n".join([str(log) for log in execution.logs.stdout])
+
+# Use context manager to ensure sandbox is closed
+with Sandbox.create() as sandbox:
+    print("Sandbox created. Installing smolagents...")
+    # Install required packages
+    sandbox.commands.run("pip install smolagents")
+    
+    print("Running agent code...")
+    # Run the agent code in the sandbox
+    execution_logs = run_code_raise_errors(sandbox, agent_code)
+    print("Execution Result:")
+    print(execution_logs)

smolagents/smol_phoenix.py

@@ -0,0 +1,39 @@
+# https://huggingface.co/docs/smolagents/tutorials/inspect_runs
+import smolagents.local_python_executor as lpe
+from concurrent.futures import ThreadPoolExecutor
+
+# Fix for compatibility with smolagents >= 1.22.0 and openinference-instrumentation-smolagents
+if not hasattr(lpe, "ThreadPoolExecutor"):
+    lpe.ThreadPoolExecutor = ThreadPoolExecutor
+
+from phoenix.otel import register
+from openinference.instrumentation.smolagents import SmolagentsInstrumentor
+
+register()
+SmolagentsInstrumentor().instrument()
+
+from smolagents import (
+    CodeAgent,
+    ToolCallingAgent,
+    WebSearchTool,
+    VisitWebpageTool,
+    InferenceClientModel,
+)
+
+model = InferenceClientModel("deepseek-ai/DeepSeek-V4-Flash")
+
+search_agent = CodeAgent(
+    tools=[WebSearchTool(), VisitWebpageTool()],
+    model=model,
+    name="search_agent",
+    description="This is an agent that can do web search.",
+)
+
+manager_agent = CodeAgent(
+    tools=[],
+    model=model,
+    managed_agents=[search_agent],
+)
+manager_agent.run(
+    "If the US keeps its 2024 growth rate, how many years will it take for the GDP to double?"
+)

smolagents/tools001.py

@@ -0,0 +1,12 @@
+from smolagents import CodeAgent, InferenceClientModel, DuckDuckGoSearchTool
+
+model = InferenceClientModel("deepseek-ai/DeepSeek-V4-Flash")
+agent = CodeAgent(
+    # tools=[DuckDuckGoSearchTool()],
+    tools=[],
+    model=model,
+)
+
+# Now the agent can search the web!
+result = agent.run("What is the current weather in Paris?")
+print(result)