How smolagents’s scores are calculated

Point an agent at llms.txt or agent-oriented docsweight 2

2 (weight) × 4 (quality) × 0.6 (partial) = 4.8 of 20 max

• [probe] https://huggingface.co/llms.txt“PROBE llms.txt: HTTP 404 at https://huggingface.co/llms.txt”
• [probe] https://huggingface.co/docs/smolagents/guided_tour.md“PROBE docs-md: HTTP 200 at https://huggingface.co/docs/smolagents/guided_tour.md # Agents - Guided tour In this guided visit, you will learn how to build an agent, how to run it, and how to customize”

Run the product headlessly / in CI for automationweight 2

2 (weight) × 7 (quality) × 1.0 (full) = 14.0 of 20 max

• [claimed-docs] https://huggingface.co/docs/smolagents/index“agent = CodeAgent(tools=[], model=model) # Run the agent with a task result = agent.run("Calculate the sum of numbers from 1 to 10")”
• [claimed-docs] https://huggingface.co/docs/smolagents/index“CLI Tools: Comes with command-line utilities (smolagent, webagent) for quickly running agents without writing boilerplate code.”
• [claimed-docs] https://huggingface.co/docs/smolagents/index“To make it secure, we support executing in sandboxed environment via Modal, Blaxel, E2B, or Docker.”
• [github] https://github.com/huggingface/smolagents“To make it secure, we support executing in sandboxed environments via Blaxel, E2B, Modal, or Docker.”

Plug MCP servers into this product so it can use their toolsweight 3

3 (weight) × 6 (quality) × 0.6 (partial) = 10.8 of 30 max

• [github] https://github.com/huggingface/smolagents“You can use tools from any MCP server, from LangChain, you can even use a Hub Space as a tool.”

Connect an agent via an official MCP serverweight 3

n/a — not applicable to this product: excluded from numerator and denominator

• [github] https://github.com/huggingface/smolagents“You can use tools from any MCP server, from LangChain, you can even use a Hub Space as a tool.”

Use an official CLIweight 2

2 (weight) × 8 (quality) × 1.0 (full) = 16.0 of 20 max

• [claimed-docs] https://huggingface.co/docs/smolagents/index“CLI Tools: Comes with command-line utilities (smolagent, webagent) for quickly running agents without writing boilerplate code.”

Drive the product through a documented public APIweight 3

3 (weight) × 7 (quality) × 1.0 (full) = 21.0 of 30 max

• [claimed-docs] https://huggingface.co/docs/smolagents/guided_tour“CodeAgent generates tool calls as Python code snippets.”
• [claimed-docs] https://huggingface.co/docs/smolagents/guided_tour“ToolCallingAgent writes tool calls as structured JSON.”
• [claimed-docs] https://huggingface.co/docs/smolagents/tutorials/tools“The custom tool subclasses Tool to inherit useful methods... A `forward` method which contains the inference code to be executed.”
• [claimed-docs] https://huggingface.co/docs/smolagents/reference/agents“final_answer_checks (list[Callable], optional) — List of validation functions to run before accepting a final answer.”
• [claimed-docs] https://huggingface.co/docs/smolagents/reference/agents“planning_interval (int, optional) — Interval at which the agent will run a planning step.”
• [claimed-docs] https://huggingface.co/docs/smolagents/index“CLI Tools: Comes with command-line utilities (smolagent, webagent) for quickly running agents without writing boilerplate code.”
• [probe] https://huggingface.co/docs/smolagents/guided_tour.md“PROBE docs-md: HTTP 200 at https://huggingface.co/docs/smolagents/guided_tour.md # Agents - Guided tour In this guided visit, you will learn how to build an agent, how to run it, and how to customize”

Issue scoped/least-privilege API credentials for an agentweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Build against official SDKsweight 2

2 (weight) × 8 (quality) × 1.0 (full) = 16.0 of 20 max

• [claimed-docs] https://huggingface.co/docs/smolagents/guided_tour“CodeAgent generates tool calls as Python code snippets.”
• [claimed-docs] https://huggingface.co/docs/smolagents/guided_tour“ToolCallingAgent writes tool calls as structured JSON.”
• [claimed-docs] https://huggingface.co/docs/smolagents/tutorials/tools“The custom tool subclasses Tool to inherit useful methods... A `forward` method which contains the inference code to be executed.”
• [claimed-docs] https://huggingface.co/docs/smolagents/index“CLI Tools: Comes with command-line utilities (smolagent, webagent) for quickly running agents without writing boilerplate code.”
• [github] https://github.com/huggingface/smolagents“smolagents supports any LLM. It can be a local `transformers` or `ollama` model, one of many providers on the Hub, or any model from OpenAI, Anthropic and many others via our LiteLLM integration.”
• [claimed-docs] https://huggingface.co/docs/smolagents/examples/multiagents“Then we create a manager agent, and upon initialization we pass our managed agent to it in its `managed_agents` argument.”
• [claimed-docs] https://huggingface.co/docs/smolagents/reference/agents“final_answer_checks (list[Callable], optional) — List of validation functions to run before accepting a final answer.”
• [claimed-docs] https://huggingface.co/docs/smolagents/reference/agents“planning_interval (int, optional) — Interval at which the agent will run a planning step.”

Subscribe to events via webhooksweight 2

n/a — not applicable to this product: excluded from numerator and denominator

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Explore an interactive API reference with runnable examplesweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

• [claimed-docs] https://huggingface.co/docs/smolagents/reference/agents“final_answer_checks (list[Callable], optional) — List of validation functions to run before accepting a final answer.”
• [claimed-docs] https://huggingface.co/docs/smolagents/reference/agents“planning_interval (int, optional) — Interval at which the agent will run a planning step.”
• [probe] https://huggingface.co/docs/smolagents/guided_tour.md“PROBE docs-md: HTTP 200 at https://huggingface.co/docs/smolagents/guided_tour.md # Agents - Guided tour In this guided visit, you will learn how to build an agent, how to run it, and how to customize”
• [probe] https://huggingface.co/.well-known/openapi.json“PROBE openapi: HTTP 200 at https://huggingface.co/.well-known/openapi.json — contains "openapi" key”

Download a machine-readable API spec (OpenAPI or equivalent)weight 2

n/a — not applicable to this product: excluded from numerator and denominator

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Test against a sandbox environment without touching production dataweight 1

1 (weight) × 6 (quality) × 0.6 (partial) = 3.6 of 10 max

• [claimed-docs] https://huggingface.co/docs/smolagents/index“To make it secure, we support executing in sandboxed environment via Modal, Blaxel, E2B, or Docker.”
• [github] https://github.com/huggingface/smolagents“To make it secure, we support executing in sandboxed environments via Blaxel, E2B, Modal, or Docker.”
• [claimed-docs] https://huggingface.co/docs/smolagents/tutorials/secure_code_execution“we have re-built a more secure `LocalPythonExecutor` from the ground up.”

Rely on versioned APIs with a documented deprecation policyweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Do everything through the API that I can do in the UIweight 2

n/a — not applicable to this product: excluded from numerator and denominator

• [claimed-docs] https://huggingface.co/docs/smolagents/index“CLI Tools: Comes with command-line utilities (smolagent, webagent) for quickly running agents without writing boilerplate code.”
• [claimed-docs] https://huggingface.co/docs/smolagents/index“agent = CodeAgent(tools=[], model=model) # Run the agent with a task result = agent.run("Calculate the sum of numbers from 1 to 10")”

Export all of my data in open formats and leaveweight 3

3 (weight) × 4 (quality) × 0.6 (partial) = 7.2 of 30 max

• [claimed-docs] https://huggingface.co/docs/smolagents/tutorials/memory“You can access the agent’s memory using:”
• [claimed-docs] https://huggingface.co/docs/smolagents/tutorials/memory“You can also use `agent.replay()`, as follows”
• [github] https://github.com/huggingface/smolagents“agent.push_to_hub("m-ric/my_agent") # agent.from_hub("m-ric/my_agent") to load an agent from Hub”
• [github] https://github.com/huggingface/smolagents“You can even share your agent to the Hub, as a Space repository:”
• [claimed-docs] https://huggingface.co/docs/smolagents/tutorials/inspect_runs“We’ve adopted the OpenTelemetry standard for instrumenting agent runs.”

Read the product's source under an open licenseweight 2

2 (weight) × 5 (quality) × 0.6 (partial) = 6.0 of 20 max

• [github] https://github.com/huggingface/smolagents“smolagents supports any LLM. It can be a local `transformers` or `ollama` model, one of many providers on the Hub, or any model from OpenAI, Anthropic and many others via our LiteLLM integration.”
• [github] https://github.com/huggingface/smolagents“agent.push_to_hub("m-ric/my_agent") # agent.from_hub("m-ric/my_agent") to load an agent from Hub”
• [github] https://github.com/huggingface/smolagents“You can even share your agent to the Hub, as a Space repository:”
• [github] https://github.com/huggingface/smolagents“To make it secure, we support executing in sandboxed environments via Blaxel, E2B, Modal, or Docker.”

Self-host the core productweight 3

3 (weight) × 8 (quality) × 1.0 (full) = 24.0 of 30 max

• [github] https://github.com/huggingface/smolagents“smolagents supports any LLM. It can be a local `transformers` or `ollama` model, one of many providers on the Hub, or any model from OpenAI, Anthropic and many others via our LiteLLM integration.”
• [github] https://github.com/huggingface/smolagents“smolagents supports any LLM. It can be a local transformers or ollama model, one of many providers on the Hub, or any model from OpenAI, Anthropic and many others via our LiteLLM integration.”
• [claimed-docs] https://huggingface.co/docs/smolagents/index“To make it secure, we support executing in sandboxed environment via Modal, Blaxel, E2B, or Docker.”
• [github] https://github.com/huggingface/smolagents“To make it secure, we support executing in sandboxed environments via Blaxel, E2B, Modal, or Docker.”
• [claimed-docs] https://huggingface.co/docs/smolagents/index“CLI Tools: Comes with command-line utilities (smolagent, webagent) for quickly running agents without writing boilerplate code.”
• [claimed-docs] https://huggingface.co/docs/smolagents/tutorials/secure_code_execution“we have re-built a more secure `LocalPythonExecutor` from the ground up.”

Get AI-generated insights and suggestions from my data inside the productweight 2

2 (weight) × 5 (quality) × 0.6 (partial) = 6.0 of 20 max

• [claimed-docs] https://huggingface.co/docs/smolagents/index“agent = CodeAgent(tools=[], model=model) # Run the agent with a task result = agent.run("Calculate the sum of numbers from 1 to 10")”
• [claimed-docs] https://huggingface.co/docs/smolagents/index“Now the agent can search the web!”
• [community] https://hn.algolia.com/api/v1/items/42578242“In the text_to_sql example, python code with matplotlib failed because matplotlib was not in the allowed imports; the system pivoted to printing a bar plot with ## characters instead, but still reached a correct final answer.”
• [claimed-docs] https://huggingface.co/docs/smolagents/index“CodeAgent writes its actions in code (as opposed to “agents being used to write code”) to invoke tools or perform computations”

Set up automations that run autonomously in the backgroundweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

• [claimed-docs] https://huggingface.co/docs/smolagents/tutorials/memory“This can be useful in case you have tool calls that take days: you can just run your agents step by step.”
• [claimed-docs] https://huggingface.co/docs/smolagents/tutorials/memory“Run one step. final_answer = agent.step(memory_step)”
• [claimed-docs] https://huggingface.co/docs/smolagents/index“agent = CodeAgent(tools=[], model=model) # Run the agent with a task result = agent.run("Calculate the sum of numbers from 1 to 10")”

Delegate tasks to a built-in AI assistant inside the productweight 3

n/a — not applicable to this product: excluded from numerator and denominator

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Operate the product with natural-language commandsweight 2

2 (weight) × 7 (quality) × 1.0 (full) = 14.0 of 20 max

• [claimed-docs] https://huggingface.co/docs/smolagents/index“agent = CodeAgent(tools=[], model=model) # Run the agent with a task result = agent.run("Calculate the sum of numbers from 1 to 10")”
• [claimed-docs] https://huggingface.co/docs/smolagents/index“CLI Tools: Comes with command-line utilities (smolagent, webagent) for quickly running agents without writing boilerplate code.”
• [claimed-docs] https://huggingface.co/docs/smolagents/index“CodeAgent writes its actions in code (as opposed to “agents being used to write code”) to invoke tools or perform computations”

Perform bulk operations across many items at onceweight 2

2 (weight) × 4 (quality) × 0.6 (partial) = 4.8 of 20 max

• [claimed-docs] https://huggingface.co/docs/smolagents/guided_tour“CodeAgent generates tool calls as Python code snippets.”
• [claimed-docs] https://huggingface.co/docs/smolagents/guided_tour“You can authorize additional imports by passing the authorized modules as a list of strings in argument `additional_authorized_imports`”
• [community] https://hn.algolia.com/api/v1/items/42578242“In the text_to_sql example, python code with matplotlib failed because matplotlib was not in the allowed imports; the system pivoted to printing a bar plot with ## characters instead, but still reached a correct final answer.”

Define rules that trigger actions automatically on eventsweight 3

n/a — not applicable to this product: excluded from numerator and denominator

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Schedule recurring jobs or workflowsweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Version, review, and roll back my automationsweight 1

1 (weight) × 4 (quality) × 0.6 (partial) = 2.4 of 10 max

• [claimed-docs] https://huggingface.co/docs/smolagents/tutorials/memory“You can also use `agent.replay()`, as follows”
• [claimed-docs] https://huggingface.co/docs/smolagents/tutorials/memory“You can also use agent.replay(), as follows”
• [claimed-docs] https://huggingface.co/docs/smolagents/tutorials/memory“You can also use `agent.replay()`”
• [github] https://github.com/huggingface/smolagents“agent.push_to_hub("m-ric/my_agent") # agent.from_hub("m-ric/my_agent") to load an agent from Hub”
• [github] https://github.com/huggingface/smolagents“You can even share your agent to the Hub, as a Space repository:”
• [claimed-docs] https://huggingface.co/docs/smolagents/tutorials/inspect_runs“We’ve adopted the OpenTelemetry standard for instrumenting agent runs.”