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[SUGGESTED_QUERY] integrating deepagents with LangSmith orchestration

[SUGGESTED_QUERY] python development environment setup

[SUGGESTED_QUERY] LangSmith setup instructions

[SUGGESTED_QUERY] how to install python package in editable mode

[Web Browser Content] LangSmith Studio Studio Quickstart Create a LangGraph app Set up a LangGraph app locally for testing and development 1. Install the LangGraph CLI pip install -U "langgraph-cli[inmem]" 2. Create a LangGraph app Create a new app from the new-langgraph-project-python template. langgraph new path/to/your/app --template new-langgraph-project-python 3. Install dependencies cd path/to/your/app pip install -e . 4. Create a .env file You will find a .env.example in the root of your new LangGraph app. Create a .env file in the root of your new LangGraph app and copy the contents of the .env.example file into it.

[SUGGESTED_QUERY] LangGraph project template configuration

[SUGGESTED_QUERY] LangGraph CLI installation and project creation

[SUGGESTED_QUERY] how to set up LangGraph app locally

[Command-Line Output] Memz: What it actually is in your context: - A Python-native, headless version of the Oliver/Carlos/Leads orchestration model. - Executes mirror Claude Code's primitives. - Auto-traces to LangSmith out of the box. - Runs anywhere Python runs (Vercel, Cloud Run, cron, VPS). Where it could fit you specifically — three options: 1. Audit engine (merlino-audit-engine/, audit-machine/): Unattended Python agent that pulls DataForSEO and writes audit reports on cron, tracing every step to LangSmith. 2. SOP factory eval loop: Wire deepagents into D:/Ecosystem/langsmtth-evals/ as the eval target, running unattended evals against skill/SOP datasets nightly. 3. Pure curiosity/pilot: Spike a 30-line create_deep_agent() in a sandbox to test the abstraction. The tradeoff: It adds LangGraph + LangChain to a stack currently using Claude-Code + raw Anthropic SDK. LangSmith tracing is already wired. Recent actions: - Wrote C:\Users\mtkem\.claude\projects\D--ClaudeDev\memory\reference_langsmtth-tenant-td-requtred.md - Edited C:\Users\mtkem\.claude\projects\D--ClaudeDev\memory\MEMORY.md: added LangSmith, Tenant, Required. Next action: Choose between pilot, eval hub integration, or skipping.

[SUGGESTED_QUERY] Claude Code memory management and LangSmith tracing

[SUGGESTED_QUERY] Deepagents implementation audit engine evaluation loop

[SUGGESTED_QUERY] LangSmith integration with Python orchestration agents

Tag: python-agents Source: CLOUD_LLM

cd path/to/your/app pip install -e .

[SUGGESTED_QUERY] setting up python langgraph project

[SUGGESTED_QUERY] langgraph command line template usage

[SUGGESTED_QUERY] how to initialize new langgraph project

langgraph new path/to/your/app --template new-langgraph-project-python

[SUGGESTED_QUERY] langgraph-cli python package installation command

[SUGGESTED_QUERY] install langgraph cli in-memory

Tag: python-package Source: CLOUD_LLM

pip install -U "langgraph-cli[inmem]"

Screen: s Supermemory Consol X RankingReels — Fullt X Creatify - RankReel B' X A Battery Storage Translation Bridge X LangSmith Studio - Thread X k Personal - LangSmith Visualize and Debug your agents Ask Gemini O Work x smith.langchain.com/o/33bf9a6d-fcb8-4f7d-bc91-6ef2e34e4df1/studio/connect?mode=graph LangSmith v Application Ctrl (D 4 3 tR Studio Q O Z D O g All applications Search Home Tracing Monitoring Datasets & Experiments Evaluators Annotation Queues Prompts Playground Studio Context Hub Deployments Sandboxes Settings Personal model tools _end_ Studio works with LangSmith Deployments or graphs that are running locally via the Agent Server Studio Quickstart Configure connection mike@merlinomarketin... LangSm Applicati( Studio Quickstart Create a LangGraph app Set up a LangGraph app locally

[SUGGESTED_QUERY] how to create LangGraph app with template

[SUGGESTED_QUERY] LangGraph CLI installation instructions

[SUGGESTED_QUERY] LangSmith Studio setup guide

[Web Browser Content] LangSmith Dashboard Welcome to LangSmith Get started with Tracing: Set up tracing with a pre-built ReAct, visualize your graph architecture, and test in real-time. Try out the Playground: Test different prompts and models. Run an Experiment: Measure app performance and ensure agent reliability. Datasets & Experiments: - skill-retrieval-accuracy: Tests whether the skill router surfaces the correct information. - agent-routing-correctness: Tests whether the orchestrator routes a task correctly. - sop-mcp-search-relevance: Tests whether the merlino-sops unified MCP search is relevant. Recent Activity: - Tracing: default, merlino-agents, evaluators, fleet. - Last 7 Days: Various latency metrics (P50, P99) and trace counts. User: mike@merlinomarketin...

[SUGGESTED_QUERY] LangSmith project datasets and experiments

[SUGGESTED_QUERY] skill-retrieval-accuracy experiment results

[SUGGESTED_QUERY] LangSmith agent performance monitoring

Website: https://smith.langchain.com/o/33bf9a6d-fcb8-4f7d-bc91-6ef2e34e4df1/studio/connect?mode=graph

[Web Browser Content] LangSmith - skill-retrieval-accuracy Datasets & Experiments / skill-retrieval-accuracy Experiment: skill-retrieval-stub-c173b1be Evaluators: exact_match, string_contains Metrics: - P50 Latency: 0.00s - P99 Latency: 0.05s - exact_match: 1.00 - string_contains: 1.00 Created: 5/14/2026

[SUGGESTED_QUERY] skill-retrieval-stub experiment performance analysis

[SUGGESTED_QUERY] model evaluation metrics in LangSmith

[Web Browser Content] Datasets & Experiments - LangSmith Datasets: - skill-retrieval-accuracy Experiments: - agent-routing-correctness - sop-mcp-search-relevance Navigation: Evaluators, Annotation Queues, Prompts, Playground, Studio, Context Hub, Deployments, Sandboxes, Settings User: mike@merlinomarketin...

[SUGGESTED_QUERY] agent routing correctness evaluation

[SUGGESTED_QUERY] skill retrieval accuracy testing

[SUGGESTED_QUERY] LangSmith datasets and experiments

Tag: experiment-tracking Source: CLOUD_LLM

Tag: dataset-management Source: CLOUD_LLM

[Web Browser Content] LangSmith Playground Iterate on and test prompts. Model: gpt-5.5 System Message: You are a chatbot. Human Message: {question} Features: Output Schema, Tool, f-string, Save, Start (Ctrl+E)

[SUGGESTED_QUERY] gpt-5.5 prompt configuration

[SUGGESTED_QUERY] LLM prompt iteration and evaluation

[SUGGESTED_QUERY] LangSmith prompt playground testing

Tag: llm-testing Source: CLOUD_LLM

Website: https://smith.langchain.com/o/33bf9a6d-fcb8-4f7d-bc91-6ef2e34e4df1/datasets

Website: https://smith.langchain.com/o/33bf9a6d-fcb8-4f7d-bc91-6ef2e34e4df1/playground

[Web Browser Content] Prompts - LangSmith - Webhook - All Prompts - Search by name... - Datasets & Experiments - Prompts - Start creating: Create a prompt in the Playground - Browse all Public Prompts in the LangChain Hub

[SUGGESTED_QUERY] LangChain Hub public prompts

[SUGGESTED_QUERY] how to create prompts in LangSmith playground