{"id":783,"date":"2026-06-08T15:21:00","date_gmt":"2026-06-08T15:21:00","guid":{"rendered":"https:\/\/futurenews24.com\/index.php\/2026\/06\/08\/the-practitioners-guide-to-agentops\/"},"modified":"2026-06-10T00:59:28","modified_gmt":"2026-06-10T00:59:28","slug":"the-practitioners-guide-to-agentops","status":"publish","type":"post","link":"https:\/\/futurenews24.com\/index.php\/2026\/06\/08\/the-practitioners-guide-to-agentops\/","title":{"rendered":"The Practitioner’s Information to AgentOps"},"content":{"rendered":"


\n<\/p>\n

\n

# research_agent.py<\/span><\/p>\n

# Goal: A analysis agent with full AgentOps instrumentation.<\/span><\/p>\n

# Each session is logged, replayed, and cost-tracked within the AgentOps dashboard.<\/span><\/p>\n

#<\/span><\/p>\n

# Stipulations:<\/span><\/p>\n

#\u00a0\u00a0 pip set up agentops anthropic python-dotenv<\/span><\/p>\n

#<\/span><\/p>\n

# Atmosphere variables required (in .env):<\/span><\/p>\n

#\u00a0\u00a0 AGENTOPS_API_KEY — from https:\/\/app.agentops.ai<\/span><\/p>\n

#\u00a0\u00a0 ANTHROPIC_API_KEY — from https:\/\/console.anthropic.com<\/span><\/p>\n

#<\/span><\/p>\n

# How one can run:<\/span><\/p>\n

#\u00a0\u00a0 python research_agent.py<\/span><\/p>\n

\u00a0<\/p>\n

import <\/span>os<\/span><\/p>\n

import <\/span>json<\/span><\/p>\n

import <\/span>time<\/span><\/p>\n

from <\/span>dotenv <\/span>import <\/span>load_dotenv<\/span><\/p>\n

import <\/span>anthropic<\/span><\/p>\n

import <\/span>agentops<\/span><\/p>\n

from <\/span>agentops<\/span>.<\/span>sdk<\/span>.<\/span>decorators <\/span>import <\/span>record_function<\/span><\/p>\n

\u00a0<\/p>\n

load_dotenv<\/span>(<\/span>)<\/span><\/p>\n

\u00a0<\/p>\n

# \u2500\u2500 Initialize AgentOps \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500<\/span><\/p>\n

# This have to be known as earlier than any agent code runs.<\/span><\/p>\n

# Tags allow you to filter and group classes within the dashboard.<\/span><\/p>\n

# The SDK mechanically intercepts LLM calls as soon as initialized.<\/span><\/p>\n

agentops<\/span>.<\/span>init<\/span>(<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0<\/span>api_key<\/span>=<\/span>os<\/span>.<\/span>environ<\/span>[<\/span>“AGENTOPS_API_KEY”<\/span>]<\/span>,<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0<\/span>tags<\/span>=<\/span>[<\/span>“research-agent”<\/span>,<\/span> <\/span>“production”<\/span>,<\/span> <\/span>“v1.0”<\/span>]<\/span>,<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0<\/span>auto_start_session<\/span>=<\/span>True<\/span>\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <\/span># Mechanically begins a session on init<\/span><\/p>\n

)<\/span><\/p>\n

\u00a0<\/p>\n

# Initialize the Anthropic consumer after AgentOps — the SDK wraps LLM purchasers<\/span><\/p>\n

# to mechanically seize each name’s enter, output, tokens, and price.<\/span><\/p>\n

consumer<\/span> <\/span>=<\/span> <\/span>anthropic<\/span>.<\/span>Anthropic<\/span>(<\/span>api_key<\/span>=<\/span>os<\/span>.<\/span>environ<\/span>[<\/span>“ANTHROPIC_API_KEY”<\/span>]<\/span>)<\/span><\/p>\n

\u00a0<\/p>\n

MODEL<\/span> <\/span>=<\/span> <\/span>“claude-sonnet-4-20250514”<\/span><\/p>\n

\u00a0<\/p>\n

# \u2500\u2500 System immediate \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500<\/span><\/p>\n

# Saved as a relentless, not inline — version-controllable and testable.<\/span><\/p>\n

SYSTEM_PROMPT<\/span> <\/span>=<\/span> <\/span>“”<\/span>“You’re a analysis assistant. When given a subject:<\/span><\/p>\n

1. Use the accessible instruments to collect data systematically<\/span><\/p>\n

2. Name search_topic to get an summary of the topic<\/span><\/p>\n

3. Name get_key_facts to extract a very powerful factors<\/span><\/p>\n

4. Name format_summary to construction the ultimate output<\/span><\/p>\n

\u00a0<\/p>\n

Be thorough however concise. At all times name format_summary as your closing step.”<\/span>“”<\/span><\/p>\n

\u00a0<\/p>\n

# \u2500\u2500 Device definitions \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500<\/span><\/p>\n

# These are the instruments the agent can name. In an actual system, search_topic<\/span><\/p>\n

# would name an actual search API (Tavily, SerpAPI, and so forth.). Right here they’re stubs<\/span><\/p>\n

# that return real looking information so you possibly can run the instance with out exterior APIs.<\/span><\/p>\n

TOOLS<\/span> <\/span>=<\/span> <\/span>[<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0<\/span>{<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“name”<\/span>:<\/span> <\/span>“search_topic”<\/span>,<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“description”<\/span>:<\/span> <\/span>(<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“Search for comprehensive information about a topic. “<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“Returns an overview with key themes and context. “<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“Use this as the first step for any research task.”<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>)<\/span>,<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“input_schema”<\/span>:<\/span> <\/span>{<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“type”<\/span>:<\/span> <\/span>“object”<\/span>,<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“properties”<\/span>:<\/span> <\/span>{<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“topic”<\/span>:<\/span> <\/span>{<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“type”<\/span>:<\/span> <\/span>“string”<\/span>,<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“description”<\/span>:<\/span> <\/span>“The topic to research. Be specific.”<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>}<\/span>,<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“depth”<\/span>:<\/span> <\/span>{<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“type”<\/span>:<\/span> <\/span>“string”<\/span>,<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“enum”<\/span>:<\/span> <\/span>[<\/span>“overview”<\/span>,<\/span> <\/span>“detailed”<\/span>]<\/span>,<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“description”<\/span>:<\/span> <\/span>“How deep to go looking. Use ‘overview’ first.”<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>}<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>}<\/span>,<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“required”<\/span>:<\/span> <\/span>[<\/span>“topic”<\/span>]<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>}<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0<\/span>}<\/span>,<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0<\/span>{<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“title”<\/span>:<\/span> <\/span>“get_key_facts”<\/span>,<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“description”<\/span>:<\/span> <\/span>(<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“Extract a very powerful information a few subject from search outcomes. “<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“Use after search_topic to determine the 5-7 most vital factors.”<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>)<\/span>,<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“input_schema”<\/span>:<\/span> <\/span>{<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“kind”<\/span>:<\/span> <\/span>“object”<\/span>,<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“properties”<\/span>:<\/span> <\/span>{<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“subject”<\/span>:<\/span> <\/span>{<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“kind”<\/span>:<\/span> <\/span>“string”<\/span>,<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“description”<\/span>:<\/span> <\/span>“The subject to extract information about”<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>}<\/span>,<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“focus”<\/span>:<\/span> <\/span>{<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“kind”<\/span>:<\/span> <\/span>“string”<\/span>,<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“description”<\/span>:<\/span> <\/span>“Non-obligatory: particular angle to concentrate on (e.g., ‘latest developments’, ‘key gamers’)”<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>}<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>}<\/span>,<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“required”<\/span>:<\/span> <\/span>[<\/span>“topic”<\/span>]<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>}<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0<\/span>}<\/span>,<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0<\/span>{<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“title”<\/span>:<\/span> <\/span>“format_summary”<\/span>,<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“description”<\/span>:<\/span> <\/span>(<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“Format analysis findings right into a clear structured abstract. “<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“At all times name this as the ultimate step earlier than returning to the consumer.”<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>)<\/span>,<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“input_schema”<\/span>:<\/span> <\/span>{<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“kind”<\/span>:<\/span> <\/span>“object”<\/span>,<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“properties”<\/span>:<\/span> <\/span>{<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“title”<\/span>:<\/span> <\/span>{<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“kind”<\/span>:<\/span> <\/span>“string”<\/span>,<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“description”<\/span>:<\/span> <\/span>“Title for the abstract”<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>}<\/span>,<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“key_points”<\/span>:<\/span> <\/span>{<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“kind”<\/span>:<\/span> <\/span>“array”<\/span>,<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“gadgets”<\/span>:<\/span> <\/span>{<\/span>“kind”<\/span>:<\/span> <\/span>“string”<\/span>}<\/span>,<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“description”<\/span>:<\/span> <\/span>“Checklist of key findings (5-7 gadgets)”<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>}<\/span>,<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“conclusion”<\/span>:<\/span> <\/span>{<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“kind”<\/span>:<\/span> <\/span>“string”<\/span>,<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“description”<\/span>:<\/span> <\/span>“A 2-3 sentence synthesis of the analysis”<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>}<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>}<\/span>,<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“required”<\/span>:<\/span> <\/span>[<\/span>“title”<\/span>,<\/span> <\/span>“key_points”<\/span>,<\/span> <\/span>“conclusion”<\/span>]<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>}<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0<\/span>}<\/span><\/p>\n

]<\/span><\/p>\n

\u00a0<\/p>\n

\u00a0<\/p>\n

# \u2500\u2500 Device implementations \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500<\/span><\/p>\n

# @record_function decorates every instrument so AgentOps captures:<\/span><\/p>\n

# – The operate title<\/span><\/p>\n

# – Enter arguments<\/span><\/p>\n

# – Return worth<\/span><\/p>\n

# – Execution time<\/span><\/p>\n

# – Any exceptions<\/span><\/p>\n

# These seem as labeled spans within the session replay timeline.<\/span><\/p>\n

\u00a0<\/p>\n

@<\/span>record_function<\/span>(<\/span>“search_topic”<\/span>)<\/span><\/p>\n

def <\/span>search_topic<\/span>(<\/span>subject<\/span>:<\/span> <\/span>str<\/span>,<\/span> <\/span>depth<\/span>:<\/span> <\/span>str<\/span> <\/span>=<\/span> <\/span>“overview”<\/span>)<\/span> <\/span>-><\/span> <\/span>dict<\/span>:<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0<\/span>“”<\/span>“<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0Seek for details about a subject.<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0In manufacturing: change this stub with an actual search API name.<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0“<\/span>“”<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0<\/span># Simulate search latency — take away in manufacturing<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0<\/span>time<\/span>.<\/span>sleep<\/span>(<\/span>0.3<\/span>)<\/span><\/p>\n

\u00a0<\/p>\n

\u00a0\u00a0\u00a0\u00a0<\/span># Stub response — change with: tavily_client.search(question=subject)<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0<\/span>return<\/span> <\/span>{<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“subject”<\/span>:<\/span> <\/span>subject<\/span>,<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“depth”<\/span>:<\/span> <\/span>depth<\/span>,<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“outcomes”<\/span>:<\/span> <\/span>f<\/span>“Complete overview of {subject}: This can be a quickly evolving subject “<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <\/span>f<\/span>“with important developments in 2025-2026. Key themes embody “<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <\/span>f<\/span>“technical innovation, adoption patterns, and organizational influence. “<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <\/span>f<\/span>“A number of analysis teams and firms are actively advancing the sector.”<\/span>,<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“source_count”<\/span>:<\/span> <\/span>12<\/span>,<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“timestamp”<\/span>:<\/span> <\/span>“2026-05-26”<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0<\/span>}<\/span><\/p>\n

\u00a0<\/p>\n

\u00a0<\/p>\n

@<\/span>record_function<\/span>(<\/span>“get_key_facts”<\/span>)<\/span><\/p>\n

def <\/span>get_key_facts<\/span>(<\/span>subject<\/span>:<\/span> <\/span>str<\/span>,<\/span> <\/span>focus<\/span>:<\/span> <\/span>str<\/span> <\/span>=<\/span> <\/span>None<\/span>)<\/span> <\/span>-><\/span> <\/span>dict<\/span>:<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0<\/span>“”<\/span>“<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0Extract key information a few subject.<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0In manufacturing: this might course of actual search outcomes.<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0“<\/span>“”<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0<\/span>time<\/span>.<\/span>sleep<\/span>(<\/span>0.2<\/span>)<\/span><\/p>\n

\u00a0<\/p>\n

\u00a0\u00a0\u00a0\u00a0<\/span>focus_note<\/span> <\/span>=<\/span> <\/span>f<\/span>” (focus: {focus})”<\/span> <\/span>if<\/span> <\/span>focus <\/span>else<\/span> <\/span>“”<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0<\/span>return<\/span> <\/span>{<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“subject”<\/span>:<\/span> <\/span>subject<\/span>,<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“focus”<\/span>:<\/span> <\/span>focus_note<\/span>,<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“information”<\/span>:<\/span> <\/span>[<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>f<\/span>“{topic} has seen 42% year-over-year growth in adoption”<\/span>,<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>f<\/span>“Leading organizations report 3-5x productivity improvements”<\/span>,<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>f<\/span>“Key technical challenges include reliability, cost, and governance”<\/span>,<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>f<\/span>“The market is projected to reach $4.9B by 2028”<\/span>,<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>f<\/span>“Open-source tooling has matured significantly in the past 18 months”<\/span>,<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>]<\/span>,<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“confidence”<\/span>:<\/span> <\/span>“excessive”<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0<\/span>}<\/span><\/p>\n

\u00a0<\/p>\n

\u00a0<\/p>\n

@<\/span>record_function<\/span>(<\/span>“format_summary”<\/span>)<\/span><\/p>\n

def <\/span>format_summary<\/span>(<\/span>title<\/span>:<\/span> <\/span>str<\/span>,<\/span> <\/span>key_points<\/span>:<\/span> <\/span>checklist<\/span>,<\/span> <\/span>conclusion<\/span>:<\/span> <\/span>str<\/span>)<\/span> <\/span>-><\/span> <\/span>dict<\/span>:<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0<\/span>“”<\/span>“<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0Format analysis right into a structured abstract.<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0That is at all times the ultimate step within the analysis workflow.<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0“<\/span>“”<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0<\/span>return<\/span> <\/span>{<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“title”<\/span>:<\/span> <\/span>title<\/span>,<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“key_points”<\/span>:<\/span> <\/span>key_points<\/span>,<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“conclusion”<\/span>:<\/span> <\/span>conclusion<\/span>,<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“format”<\/span>:<\/span> <\/span>“structured_summary”<\/span>,<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“generated_at”<\/span>:<\/span> <\/span>“2026-05-26”<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0<\/span>}<\/span><\/p>\n

\u00a0<\/p>\n

\u00a0<\/p>\n

def <\/span>execute_tool<\/span>(<\/span>tool_name<\/span>:<\/span> <\/span>str<\/span>,<\/span> <\/span>tool_input<\/span>:<\/span> <\/span>dict<\/span>)<\/span> <\/span>-><\/span> <\/span>str<\/span>:<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0<\/span>“”<\/span>“<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0Route instrument calls to the proper implementation.<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0Returns the consequence as a JSON string for the mannequin to learn.<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0“<\/span>“”<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0<\/span>if<\/span> <\/span>tool_name<\/span> <\/span>==<\/span> <\/span>“search_topic”<\/span>:<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>consequence<\/span> <\/span>=<\/span> <\/span>search_topic<\/span>(<\/span>*<\/span>*<\/span>tool_input<\/span>)<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0<\/span>elif <\/span>tool_name<\/span> <\/span>==<\/span> <\/span>“get_key_facts”<\/span>:<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>consequence<\/span> <\/span>=<\/span> <\/span>get_key_facts<\/span>(<\/span>*<\/span>*<\/span>tool_input<\/span>)<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0<\/span>elif <\/span>tool_name<\/span> <\/span>==<\/span> <\/span>“format_summary”<\/span>:<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>consequence<\/span> <\/span>=<\/span> <\/span>format_summary<\/span>(<\/span>*<\/span>*<\/span>tool_input<\/span>)<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0<\/span>else<\/span>:<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>consequence<\/span> <\/span>=<\/span> <\/span>{<\/span>“error”<\/span>:<\/span> <\/span>f<\/span>“Unknown instrument: {tool_name}”<\/span>}<\/span><\/p>\n

\u00a0<\/p>\n

\u00a0\u00a0\u00a0\u00a0<\/span>return<\/span> <\/span>json<\/span>.<\/span>dumps<\/span>(<\/span>consequence<\/span>)<\/span><\/p>\n

\u00a0<\/p>\n

\u00a0<\/p>\n

# \u2500\u2500 The agent loop \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500<\/span><\/p>\n

def <\/span>run_research_agent<\/span>(<\/span>subject<\/span>:<\/span> <\/span>str<\/span>)<\/span> <\/span>-><\/span> <\/span>dict<\/span>:<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0<\/span>“”<\/span>“<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0Run the analysis agent on a given subject.<\/span><\/p>\n

\u00a0<\/p>\n

\u00a0\u00a0\u00a0\u00a0The loop:<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a01. Ship the purpose to Claude with the accessible instruments<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a02. If Claude desires to name a instrument, execute it and return the consequence<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a03. Proceed till Claude alerts it’s performed (stop_reason == ‘end_turn’)<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a04. Return the ultimate structured abstract<\/span><\/p>\n

\u00a0<\/p>\n

\u00a0\u00a0\u00a0\u00a0AgentOps captures each iteration mechanically as a result of:<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0– The LLM consumer is wrapped after agentops.init()<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0– Every instrument is adorned with @record_function<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0– The session spans the complete lifecycle from init to end_session()<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0“<\/span>“”<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0<\/span>print<\/span>(<\/span>f<\/span>“nStarting analysis agent for subject: ‘{subject}'”<\/span>)<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0<\/span>print<\/span>(<\/span>“Session will likely be seen at https:\/\/app.agentops.ain”<\/span>)<\/span><\/p>\n

\u00a0<\/p>\n

\u00a0\u00a0\u00a0\u00a0<\/span>messages<\/span> <\/span>=<\/span> <\/span>[<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>{<\/span>“role”<\/span>:<\/span> <\/span>“user”<\/span>,<\/span> <\/span>“content”<\/span>:<\/span> <\/span>f<\/span>“Research this topic and produce a structured summary: {topic}”<\/span>}<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0<\/span>]<\/span><\/p>\n

\u00a0<\/p>\n

\u00a0\u00a0\u00a0\u00a0<\/span>final_summary<\/span> <\/span>=<\/span> <\/span>None<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0<\/span>iteration<\/span> <\/span>=<\/span> <\/span>0<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0<\/span>max_iterations<\/span> <\/span>=<\/span> <\/span>10<\/span>\u00a0\u00a0<\/span># Security restrict — prevents runaway loops<\/span><\/p>\n

\u00a0<\/p>\n

\u00a0\u00a0\u00a0\u00a0<\/span>whereas<\/span> <\/span>iteration<\/span> <\/span><<\/span> <\/span>max_iterations<\/span>:<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>iteration<\/span> <\/span>+=<\/span> <\/span>1<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>print<\/span>(<\/span>f<\/span>“Iteration {iteration}: Calling Claude…”<\/span>)<\/span><\/p>\n

\u00a0<\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>response<\/span> <\/span>=<\/span> <\/span>consumer<\/span>.<\/span>messages<\/span>.<\/span>create<\/span>(<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>mannequin<\/span>=<\/span>MODEL<\/span>,<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>max_tokens<\/span>=<\/span>4096<\/span>,<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>system<\/span>=<\/span>SYSTEM_PROMPT<\/span>,<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>instruments<\/span>=<\/span>TOOLS<\/span>,<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>messages<\/span>=<\/span>messages<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>)<\/span><\/p>\n

\u00a0<\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>print<\/span>(<\/span>f<\/span>”\u00a0\u00a0stop_reason: {response.stop_reason}”<\/span>)<\/span><\/p>\n

\u00a0<\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span># Add assistant response to message historical past<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>messages<\/span>.<\/span>append<\/span>(<\/span>{<\/span>“function”<\/span>:<\/span> <\/span>“assistant”<\/span>,<\/span> <\/span>“content material”<\/span>:<\/span> <\/span>response<\/span>.<\/span>content material<\/span>}<\/span>)<\/span><\/p>\n

\u00a0<\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span># If Claude is completed, extract the ultimate abstract and exit<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>if<\/span> <\/span>response<\/span>.<\/span>stop_reason<\/span> <\/span>==<\/span> <\/span>“end_turn”<\/span>:<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span># Search for the format_summary consequence within the message historical past<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>for<\/span> <\/span>msg <\/span>in<\/span> <\/span>reversed<\/span>(<\/span>messages<\/span>)<\/span>:<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>if<\/span> <\/span>msg<\/span>[<\/span>“role”<\/span>]<\/span> <\/span>==<\/span> <\/span>“consumer”<\/span> <\/span>and<\/span> <\/span>isinstance<\/span>(<\/span>msg<\/span>[<\/span>“content”<\/span>]<\/span>,<\/span> <\/span>checklist<\/span>)<\/span>:<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>for<\/span> <\/span>block <\/span>in<\/span> <\/span>msg<\/span>[<\/span>“content”<\/span>]<\/span>:<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>if<\/span> <\/span>(<\/span>hasattr<\/span>(<\/span>block<\/span>,<\/span> <\/span>“kind”<\/span>)<\/span> <\/span>and<\/span> <\/span>block<\/span>.<\/span>kind<\/span> <\/span>==<\/span> <\/span>“tool_result”<\/span>)<\/span>:<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>strive<\/span>:<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>result_data<\/span> <\/span>=<\/span> <\/span>json<\/span>.<\/span>hundreds<\/span>(<\/span>block<\/span>.<\/span>content material<\/span>[<\/span>0<\/span>]<\/span>.<\/span>textual content<\/span>)<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>if<\/span> <\/span>result_data<\/span>.<\/span>get<\/span>(<\/span>“format”<\/span>)<\/span> <\/span>==<\/span> <\/span>“structured_summary”<\/span>:<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>final_summary<\/span> <\/span>=<\/span> <\/span>result_data<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>break<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>besides<\/span> <\/span>(<\/span>json<\/span>.<\/span>JSONDecodeError<\/span>,<\/span> <\/span>(<\/span>AttributeError<\/span>,<\/span> <\/span>KeyError<\/span>,<\/span> <\/span>IndexError<\/span>,<\/span> <\/span>TypeError<\/span>)<\/span>)<\/span>:<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>go<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>if<\/span> <\/span>final_summary<\/span>:<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>break<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>break<\/span><\/p>\n

\u00a0<\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span># Course of instrument calls if Claude desires to make use of instruments<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>if<\/span> <\/span>response<\/span>.<\/span>stop_reason<\/span> <\/span>==<\/span> <\/span>“tool_use”<\/span>:<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>tool_results<\/span> <\/span>=<\/span> <\/span>[<\/span>]<\/span><\/p>\n

\u00a0<\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>for<\/span> <\/span>block <\/span>in<\/span> <\/span>response<\/span>.<\/span>content material<\/span>:<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>if<\/span> <\/span>block<\/span>.<\/span>kind<\/span> <\/span>==<\/span> <\/span>“tool_use”<\/span>:<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>print<\/span>(<\/span>f<\/span>”\u00a0\u00a0Device name: {block.title}({json.dumps(block.enter, indent=2)})”<\/span>)<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>consequence<\/span> <\/span>=<\/span> <\/span>execute_tool<\/span>(<\/span>block<\/span>.<\/span>title<\/span>,<\/span> <\/span>block<\/span>.<\/span>enter<\/span>)<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>print<\/span>(<\/span>f<\/span>”\u00a0\u00a0End result: {consequence[:100]}…”<\/span>)<\/span><\/p>\n

\u00a0<\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>tool_results<\/span>.<\/span>append<\/span>(<\/span>{<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“kind”<\/span>:<\/span> <\/span>“tool_result”<\/span>,<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“tool_use_id”<\/span>:<\/span> <\/span>block<\/span>.<\/span>id<\/span>,<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>“content material”<\/span>:<\/span> <\/span>consequence<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>}<\/span>)<\/span><\/p>\n

\u00a0<\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span># Return instrument outcomes to Claude<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>messages<\/span>.<\/span>append<\/span>(<\/span>{<\/span>“function”<\/span>:<\/span> <\/span>“consumer”<\/span>,<\/span> <\/span>“content material”<\/span>:<\/span> <\/span>tool_results<\/span>}<\/span>)<\/span><\/p>\n

\u00a0<\/p>\n

\u00a0\u00a0\u00a0\u00a0<\/span>if<\/span> <\/span>iteration<\/span> <\/span>>=<\/span> <\/span>max_iterations<\/span>:<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>print<\/span>(<\/span>f<\/span>“WARNING: Agent hit max iterations ({max_iterations}). Doable loop detected.”<\/span>)<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span># AgentOps will present this as a session ending in Fail<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>agentops<\/span>.<\/span>end_session<\/span>(<\/span>“Fail”<\/span>)<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>return<\/span> <\/span>{<\/span>“error”<\/span>:<\/span> <\/span>“Max iterations reached — examine session replay for loop evaluation”<\/span>}<\/span><\/p>\n

\u00a0<\/p>\n

\u00a0\u00a0\u00a0\u00a0<\/span># Finish session with Success — this finalizes the session in AgentOps<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0<\/span># The session replay is now accessible at app.agentops.ai<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0<\/span>agentops<\/span>.<\/span>end_session<\/span>(<\/span>“Success”<\/span>)<\/span><\/p>\n

\u00a0<\/p>\n

\u00a0\u00a0\u00a0\u00a0<\/span>return<\/span> <\/span>final_summary<\/span> <\/span>or<\/span> <\/span>{<\/span>“message”<\/span>:<\/span> <\/span>“Analysis full — examine session replay for full hint”<\/span>}<\/span><\/p>\n

\u00a0<\/p>\n

\u00a0<\/p>\n

# \u2500\u2500 Run the agent \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500<\/span><\/p>\n

if<\/span> <\/span>__name__<\/span> <\/span>==<\/span> <\/span>“__main__”<\/span>:<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0<\/span>subject<\/span> <\/span>=<\/span> <\/span>“AgentOps and AI agent observability in 2026”<\/span><\/p>\n

\u00a0<\/p>\n

\u00a0\u00a0\u00a0\u00a0<\/span>strive<\/span>:<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>consequence<\/span> <\/span>=<\/span> <\/span>run_research_agent<\/span>(<\/span>subject<\/span>)<\/span><\/p>\n

\u00a0<\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>print<\/span>(<\/span>“n”<\/span> <\/span>+<\/span> <\/span>“=”<\/span> <\/span>*<\/span> <\/span>60<\/span>)<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>print<\/span>(<\/span>“RESEARCH SUMMARY”<\/span>)<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>print<\/span>(<\/span>“=”<\/span> <\/span>*<\/span> <\/span>60<\/span>)<\/span><\/p>\n

\u00a0<\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>if<\/span> <\/span>“error”<\/span> <\/span>in<\/span> <\/span>consequence<\/span>:<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>print<\/span>(<\/span>f<\/span>“Error: {consequence[‘error’]}”<\/span>)<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>else<\/span>:<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>print<\/span>(<\/span>f<\/span>“Title: {consequence.get(‘title’, ‘N\/A’)}”<\/span>)<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>print<\/span>(<\/span>“nKey Factors:”<\/span>)<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>for<\/span> <\/span>i<\/span>,<\/span> <\/span>level <\/span>in<\/span> <\/span>enumerate<\/span>(<\/span>consequence<\/span>.<\/span>get<\/span>(<\/span>“key_points”<\/span>,<\/span> <\/span>[<\/span>]<\/span>)<\/span>,<\/span> <\/span>1<\/span>)<\/span>:<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>print<\/span>(<\/span>f<\/span>”\u00a0\u00a0{i}. {level}”<\/span>)<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>print<\/span>(<\/span>f<\/span>“nConclusion: {consequence.get(‘conclusion’, ‘N\/A’)}”<\/span>)<\/span><\/p>\n

\u00a0<\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>print<\/span>(<\/span>“n”<\/span> <\/span>+<\/span> <\/span>“=”<\/span> <\/span>*<\/span> <\/span>60<\/span>)<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>print<\/span>(<\/span>“Session replay accessible at: https:\/\/app.agentops.ai”<\/span>)<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>print<\/span>(<\/span>“Search for your session tagged ‘research-agent'”<\/span>)<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>print<\/span>(<\/span>“=”<\/span> <\/span>*<\/span> <\/span>60<\/span>)<\/span><\/p>\n

\u00a0<\/p>\n

\u00a0\u00a0\u00a0\u00a0<\/span>besides <\/span>KeyboardInterrupt<\/span>:<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span># Clear session finish if the consumer interrupts<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>agentops<\/span>.<\/span>end_session<\/span>(<\/span>“Fail”<\/span>)<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>print<\/span>(<\/span>“nSession ended by consumer. Partial hint saved to AgentOps.”<\/span>)<\/span><\/p>\n

\u00a0<\/p>\n

\u00a0\u00a0\u00a0\u00a0<\/span>besides <\/span>Exception <\/span>as<\/span> <\/span>e<\/span>:<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span># Report failures in order that they present up within the dashboard<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>agentops<\/span>.<\/span>end_session<\/span>(<\/span>“Fail”<\/span>)<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>print<\/span>(<\/span>f<\/span>“Agent failed: {e}”<\/span>)<\/span><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>elevate<\/span><\/p>\n<\/div>\n


\n
Source link <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

# research_agent.py # Goal: A analysis agent with full AgentOps instrumentation. # Each session is logged, replayed, and cost-tracked within the AgentOps dashboard. # # Stipulations: #\u00a0\u00a0 pip set up agentops anthropic python-dotenv # # Atmosphere variables required (in .env): #\u00a0\u00a0 AGENTOPS_API_KEY — from https:\/\/app.agentops.ai #\u00a0\u00a0 ANTHROPIC_API_KEY — from https:\/\/console.anthropic.com # # How one can […]<\/p>\n","protected":false},"author":1,"featured_media":785,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"https:\/\/machinelearningmastery.com\/wp-content\/uploads\/2026\/05\/Shittu-MLM-The-Practitioners-Guide-to-AgentOps-1024x683.png","fifu_image_alt":"","jnews-multi-image_gallery":[],"jnews_single_post":[],"jnews_primary_category":[],"jnews_override_bookmark_settings":[],"jnews_social_meta":[],"jnews_override_counter":[],"footnotes":""},"categories":[7],"tags":[1096,523,1095],"class_list":["post-783","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-science-mlops","tag-agentops","tag-guide","tag-practitioners"],"yoast_head":"\nThe Practitioner's Information to AgentOps - 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