Sattensil/agentcontrol config naming (#67)

* Rebrand prose: AI Configs product -> AgentControl, primitive -> config

Author: sattensil

.claude-plugin/plugin.json

@@ -1,7 +1,7 @@
 {
   "name": "launchdarkly",
   "version": "1.0.0",
-  "description": "LaunchDarkly agent skills and MCP servers for feature flag management, AI configuration, and metrics",
+  "description": "LaunchDarkly agent skills and MCP servers for feature flag management, AgentControl, and metrics",
   "author": {
     "name": "LaunchDarkly",
     "email": "support@launchdarkly.com"

.codex-plugin/plugin.json

@@ -1,7 +1,7 @@
 {
   "name": "launchdarkly-mcp",
   "version": "0.6.1",
-  "description": "Connect Codex to LaunchDarkly over MCP: AI Configs and feature management (FM) hosted endpoints, plus bundled guidance for using the tools.",
+  "description": "Connect Codex to LaunchDarkly over MCP: configs and feature management (FM) hosted endpoints, plus bundled guidance for using the tools.",
   "author": {
     "name": "LaunchDarkly",
     "url": "https://launchdarkly.com"
@@ -20,15 +20,15 @@
   "mcpServers": "./.mcp.json",
   "interface": {
     "displayName": "LaunchDarkly",
-    "shortDescription": "Feature flags, AI Configs, and environments via MCP.",
-    "longDescription": "Use LaunchDarkly’s hosted MCP servers for AI Configs and FM, or run the same surface locally with npx @launchdarkly/mcp-server (see repository README). Authenticate with your LaunchDarkly API access token when prompted.",
+    "shortDescription": "Feature flags, configs, and environments via MCP.",
+    "longDescription": "Use LaunchDarkly’s hosted MCP servers for configs and FM, or run the same surface locally with npx @launchdarkly/mcp-server (see repository README). Authenticate with your LaunchDarkly API access token when prompted.",
     "developerName": "LaunchDarkly",
     "category": "Developer tools",
     "capabilities": ["Read", "Write"],
     "websiteURL": "https://launchdarkly.com",
     "defaultPrompt": [
       "List my LaunchDarkly feature flags for this project.",
-      "Show AI Config targeting for the config I care about."
+      "Show config targeting for the config I care about."
     ],
     "brandColor": "#3DD6F5"
   }

.cursor-plugin/plugin.json

@@ -1,7 +1,7 @@
 {
   "name": "launchdarkly",
   "version": "1.0.2",
-  "description": "LaunchDarkly agent skills and mcp server for feature flag management, AI configuration, and skill authoring",
+  "description": "LaunchDarkly agent skills and mcp server for feature flag management, AgentControl, and skill authoring",
   "author": {
     "name": "LaunchDarkly",
     "email": "support@launchdarkly.com"

README.md

@@ -1,6 +1,6 @@
 # LaunchDarkly Agent Skills
 
-LaunchDarkly's public collection of AI agent skills and playbooks. These skills encode repeatable workflows for working with LaunchDarkly, so coding agents can execute common tasks safely and consistently.
+LaunchDarkly's public collection of agent skills and playbooks. These skills encode repeatable workflows for working with LaunchDarkly, so coding agents can execute common tasks safely and consistently.
 
 ## What Is This Repo?
 
@@ -18,19 +18,19 @@ Agent Skills are modular, text-based playbooks that teach an agent how to perfor
 | `feature-flags/launchdarkly-flag-cleanup` | Safely remove flags from code using LaunchDarkly as the source of truth |
 | `feature-flags/launchdarkly-guarded-rollout` | Configure guarded rollouts with progressive traffic, metric monitoring, and rollback |
 
-### AI Configs
+### AgentControl
 
 | Skill | Description |
 |-------|-------------|
-| `agentcontrol/configs-create` | Create AI Configs with variations for agent or completion mode |
-| `agentcontrol/migrate` | Migrate an app with hardcoded LLM prompts to AI Configs in five stages (extract, wrap, tools, tracking, evals) |
-| `agentcontrol/configs-update` | Update and delete AI Configs, manage lifecycle |
-| `agentcontrol/configs-variations` | Manage AI Config variations for A/B testing |
+| `agentcontrol/configs-create` | Create configs with variations for agent or completion mode |
+| `agentcontrol/migrate` | Migrate an app with hardcoded LLM prompts to AgentControl in five stages (extract, wrap, tools, tracking, evals) |
+| `agentcontrol/configs-update` | Update and delete configs, manage lifecycle |
+| `agentcontrol/configs-variations` | Manage config variations for A/B testing |
 | `agentcontrol/tools` | Create and attach tools for function calling |
-| `agentcontrol/projects` | Create and manage projects to organize AI Configs |
-| `agentcontrol/online-evals` | Attach LLM-as-a-judge evaluators to AI Configs |
-| `agentcontrol/configs-targeting` | Configure targeting rules for AI Config rollouts |
-| `agentcontrol/snippets` | Create and manage reusable prompt snippets across AI Configs |
+| `agentcontrol/projects` | Create and manage projects to organize configs |
+| `agentcontrol/online-evals` | Attach LLM-as-a-judge evaluators to configs |
+| `agentcontrol/configs-targeting` | Configure targeting rules for config rollouts |
+| `agentcontrol/snippets` | Create and manage reusable prompt snippets across configs |
 | `agentcontrol/agent-graphs` | Create and manage multi-agent graphs with routing and handoffs |
 
 ### Experiments

eval-scores.json

@@ -11,22 +11,22 @@
       "lastRun": "2026-05-20T19:16:00.930Z",
       "perTest": [
         {
-          "description": "Create an AI Config for my customer support bot. It uses LangGraph and needs per",
+          "description": "Create a config for my customer support bot. It uses LangGraph and needs per",
           "pass": true,
           "score": 1
         },
         {
-          "description": "I need an AI Config for our blog summarizer. We call the OpenAI API directly wit",
+          "description": "I need a config for our blog summarizer. We call the OpenAI API directly wit",
           "pass": true,
           "score": 1
         },
         {
-          "description": "Create a new AI Config for our analytics agent. Project key is \"data-platform\".\n",
+          "description": "Create a new config for our analytics agent. Project key is \"data-platform\".\n",
           "pass": true,
           "score": 1
         },
         {
-          "description": "Create an AI Config called \"email-assistant\" for composing emails. Project is \"c",
+          "description": "Create a config called \"email-assistant\" for composing emails. Project is \"c",
           "pass": true,
           "score": 0.8333333333333334
         }
@@ -46,12 +46,12 @@
           "score": 0.95
         },
         {
-          "description": "We no longer need the content-writer AI Config. Please remove it from active use",
+          "description": "We no longer need the content-writer config. Please remove it from active use",
           "pass": true,
           "score": 1
         },
         {
-          "description": "Update the support-chatbot AI Config in project \"support-app\": change the name t",
+          "description": "Update the support-chatbot config in project \"support-app\": change the name t",
           "pass": true,
           "score": 1
         },
@@ -76,12 +76,12 @@
       "lastRun": "2026-05-20T19:16:00.936Z",
       "perTest": [
         {
-          "description": "I need to give our support-chatbot AI Config the ability to search our knowledge",
+          "description": "I need to give our support-chatbot config the ability to search our knowledge",
           "pass": true,
           "score": 1
         },
         {
-          "description": "Create an AI tool called \"create-ticket\" that accepts title (required string), p",
+          "description": "Create an agent tool called \"create-ticket\" that accepts title (required string), p",
           "pass": true,
           "score": 1
         },

evals/aiconfig-create/promptfooconfig.yaml

@@ -28,7 +28,7 @@ tests:
   - description: "Happy path: creates agent-mode config for a LangGraph chatbot using setup-ai-config"
     vars:
       user_request: >
-        Create an AI Config for my customer support bot. It uses LangGraph and
+        Create a config for my customer support bot. It uses LangGraph and
         needs persistent instructions. The project key is "acme-app".
         Use Claude Sonnet as the model.
       codebase_context: ""
@@ -82,7 +82,7 @@ tests:
 
       - type: llm-rubric
         value: |
-          Evaluate whether the agent correctly created an AI Config in agent mode.
+          Evaluate whether the agent correctly created a config in agent mode.
           Score 1.0 if all of the following are met:
           1. The agent chose agent mode (appropriate for LangGraph with persistent instructions).
           2. The agent created a config with a meaningful key and name derived from the use case.
@@ -100,7 +100,7 @@ tests:
   - description: "Completion mode: creates completion-mode config for direct OpenAI API use"
     vars:
       user_request: >
-        I need an AI Config for our blog summarizer. We call the OpenAI API
+        I need a config for our blog summarizer. We call the OpenAI API
         directly with a messages array (system + user). Project key is "blog-app",
         use gpt-4o.
       codebase_context: >
@@ -151,7 +151,7 @@ tests:
   - description: "Exploration: browses existing configs before creating when context is sparse"
     vars:
       user_request: >
-        Create a new AI Config for our analytics agent. Project key is "data-platform".
+        Create a new config for our analytics agent. Project key is "data-platform".
       codebase_context: ""
     assert:
       - type: javascript
@@ -184,7 +184,7 @@ tests:
   - description: "Post-creation: response mentions targeting step or aiconfig-targeting"
     vars:
       user_request: >
-        Create an AI Config called "email-assistant" for composing emails.
+        Create a config called "email-assistant" for composing emails.
         Project is "comms-app", use gpt-4o-mini in completion mode.
       codebase_context: ""
     assert:

evals/aiconfig-tools/promptfooconfig.yaml

@@ -3,8 +3,8 @@
 # Run with shared defaults:
 #   promptfoo eval -c shared/defaults.yaml -c aiconfig-tools/promptfooconfig.yaml
 #
-# The aiconfig-tools skill covers creating AI tool definitions and attaching
-# them to AI Config variations. Key invariant: tools must be created with
+# The aiconfig-tools skill covers creating agent tool definitions and attaching
+# them to config variations. Key invariant: tools must be created with
 # raw JSON Schema format (not OpenAI function-calling wrapper), and must be
 # created before being attached.
 description: "End-to-end evaluation of the aiconfig-tools skill"
@@ -25,7 +25,7 @@ tests:
   - description: "Creates a tool with correct raw JSON Schema and attaches it to a variation"
     vars:
       user_request: >
-        I need to give our support-chatbot AI Config the ability to search our
+        I need to give our support-chatbot config the ability to search our
         knowledge base. Create a tool called "search-knowledge-base" with a
         query parameter and a limit parameter, then attach it to the "default"
         variation. Project key is "support-app".
@@ -82,7 +82,7 @@ tests:
   - description: "Uses raw JSON Schema for tool schema, not the OpenAI function wrapper"
     vars:
       user_request: >
-        Create an AI tool called "create-ticket" that accepts title (required
+        Create an agent tool called "create-ticket" that accepts title (required
         string), priority (enum: low, medium, high), and description (optional
         string). Attach it to the default variation of the support-chatbot config.
         Project key is "support-app".

evals/aiconfig-update/promptfooconfig.yaml

@@ -76,7 +76,7 @@ tests:
   - description: "Archives a config instead of deleting when asked to remove it"
     vars:
       user_request: >
-        We no longer need the content-writer AI Config. Please remove it from
+        We no longer need the content-writer config. Please remove it from
         active use. Project key is "marketing".
       codebase_context: >
         The content-writer config has 3 variations. It's been inactive for two
@@ -114,7 +114,7 @@ tests:
   - description: "Updates config metadata — name, description, tags — without touching variations"
     vars:
       user_request: >
-        Update the support-chatbot AI Config in project "support-app":
+        Update the support-chatbot config in project "support-app":
         change the name to "Customer Support Agent", add a description
         "Handles tier-1 support inquiries", and add tags "support" and "production".
       codebase_context: >

evals/mocks/tool-responses.json

@@ -247,7 +247,7 @@
         "key": "support-chatbot",
         "name": "Support Chatbot",
         "mode": "agent",
-        "description": "AI-powered support agent for customer tickets",
+        "description": "Agent-powered support agent for customer tickets",
         "tags": [
           "support",
           "production"
@@ -284,7 +284,7 @@
     "key": "{{configKey}}",
     "name": "{{configName}}",
     "mode": "agent",
-    "description": "AI Config",
+    "description": "config",
     "tags": [],
     "archived": false,
     "variations": [