Replace Agentspan references

SDK_DEVELOPMENT.md

@@ -620,7 +620,7 @@ examples/
 - **Self-contained**: Every file imports from `../src/sdk`, connects via `OrkesClients.from()`, and is runnable with `npx ts-node examples/<file>.ts`
 - **Cleanup**: Examples that create resources clean up after themselves in try/finally blocks
 - **Env vars**: All examples read `CONDUCTOR_SERVER_URL` (required) and optionally `CONDUCTOR_AUTH_KEY`/`CONDUCTOR_AUTH_SECRET`
-- **Agent examples**: `examples/agents/` uses `AGENTSPAN_SERVER_URL`/`AGENTSPAN_LLM_MODEL` plus a provider API key — see [examples/agents/README.md](examples/agents/README.md)
+- **Agent examples**: `examples/agents/` uses `CONDUCTOR_SERVER_URL`/`CONDUCTOR_AGENT_LLM_MODEL` plus a provider API key — see [examples/agents/README.md](examples/agents/README.md)
 - **Naming**: Kebab-case file names matching Python SDK's snake_case pattern (e.g., `fork-join.ts` ↔ `fork_join_script.py`)
 - **Imports**: Use relative paths from the example file (e.g., `from "../../src/sdk"` for subdirectory examples)
 

e2e/test_suite6_pdf_tools.test.ts

@@ -32,7 +32,7 @@ afterAll(() => runtime.shutdown());
 
 // ── Sample markdown ─────────────────────────────────────────────────────
 
-const SAMPLE_MARKDOWN = `# Agentspan E2E Test Report
+const SAMPLE_MARKDOWN = `# Conductor Agent E2E Test Report
 
 ## Overview
 

examples/README.md

@@ -48,8 +48,8 @@ npx ts-node examples/workers-e2e.ts
 
 Agentic examples live in [`agents/`](agents/) and use the durable agents layer
 (`@io-orkes/conductor-javascript/agents`). See [agents/README.md](agents/README.md)
-for the full catalog and environment setup (`AGENTSPAN_SERVER_URL`,
-`AGENTSPAN_LLM_MODEL`, provider API key). Highlights:
+for the full catalog and environment setup (`CONDUCTOR_SERVER_URL`,
+`CONDUCTOR_AGENT_LLM_MODEL`, provider API key). Highlights:
 
 | File | Description | Run |
 |------|-------------|-----|

examples/agents/README.md

@@ -1,6 +1,6 @@
 # Examples
 
-Runnable examples demonstrating every feature of the Agentspan TypeScript SDK.
+Runnable examples demonstrating every feature of the Conductor TypeScript SDK for Agents.
 
 **200+ runnable examples in total**: the core examples cataloged below, plus
 the [quickstart/](quickstart/) guides and framework ports for Google ADK,
@@ -335,10 +335,10 @@ cd examples/agents/openai && npx tsx 01-basic-agent.ts
 
 ## Framework Integrations
 
-| Directory | Framework | Examples |
-|-----------|-----------|----------|
-| [adk/](adk/) | Google ADK | Agents, tools, streaming, planners, security |
-| [langgraph/](langgraph/) | LangGraph | State graphs, react agents, memory, RAG |
+| Directory | Framework         | Examples |
+|-----------|-------------------|----------|
+| [adk/](adk/) | Google ADK        | Agents, tools, streaming, planners, security |
+| [langgraph/](langgraph/) | LangGraph         | State graphs, react agents, memory, RAG |
 | [openai/](openai/) | OpenAI Agents SDK | Agents, tools, handoffs, guardrails |
-| [vercel-ai/](vercel-ai/) | Vercel AI SDK | Agents, tools, streaming, HITL |
-| [quickstart/](quickstart/) | Agentspan Quickstart | Minimal getting-started guides |
+| [vercel-ai/](vercel-ai/) | Vercel AI SDK     | Agents, tools, streaming, HITL |
+| [quickstart/](quickstart/) | Agents Quickstart | Minimal getting-started guides |

examples/agents/adk/README.md

@@ -1,11 +1,11 @@
-# Google ADK + Agentspan
+# Google ADK + Conductor Agent
 
 The `LlmAgent` and `FunctionTool` formats are natively recognized. Replace the ADK runner with `runtime.run()` — agent and tools stay identical.
 
 ## Before / After
 
 <table>
-<tr><th>Before (vanilla Google ADK)</th><th>After (Agentspan)</th></tr>
+<tr><th>Before (vanilla Google ADK)</th><th>After (Conductor Agent)</th></tr>
 <tr><td>
 
 ```typescript

examples/agents/langgraph/34-rag-pipeline.ts

@@ -44,7 +44,7 @@ const DOCUMENTS: Document[] = [
   },
   {
     pageContent:
-      'Agentspan provides a runtime for deploying LangGraph and LangChain agents at scale. ' +
+      'Conductor provides a runtime for deploying LangGraph and LangChain agents at scale. ' +
       'It uses Conductor as an orchestration engine and exposes agents as Conductor tasks. ' +
       'The AgentRuntime class handles worker registration and lifecycle management.',
     metadata: { source: 'agentspan_docs', topic: 'agentspan' },

examples/agents/langgraph/41-react-agent-basic.ts

@@ -78,7 +78,7 @@ const graph = createReactAgent({ llm, tools, name: "math_and_text_agent" });
 const PROMPT =
   'What is sqrt(256) + 2**10? ' +
   "Also count the words in 'the quick brown fox jumps over the lazy dog'. " +
-  "And what is 'Agentspan' reversed?";
+  "And what is 'Conductor' reversed?";
 
 // ---------------------------------------------------------------------------
 // Run on agentspan

examples/agents/langgraph/46-crash-and-resume.ts

@@ -176,7 +176,7 @@ async function main() {
 
   const uiLink = `${UI_BASE}/execution/${savedExecutionId}`;
   console.log('-'.repeat(60));
-  console.log('Open the Agentspan UI to see the execution in RUNNING state:');
+  console.log('Open the Conductor UI to see the execution in RUNNING state:');
   console.log(`  ${uiLink}`);
   console.log();
   console.log('The workflow is alive on the server but stalled — no workers are');

examples/agents/langgraph/README.md

@@ -1,11 +1,11 @@
-# LangGraph + Agentspan
+# LangGraph + Conductor Agent
 
 Keep your existing LangGraph code. Add agentspan metadata and run with `runtime.run()`.
 
 ## createReactAgent
 
 <table>
-<tr><th>Before (vanilla LangGraph)</th><th>After (Agentspan)</th></tr>
+<tr><th>Before (vanilla LangGraph)</th><th>After (Conductor Agent)</th></tr>
 <tr><td>
 
 ```typescript

examples/agents/openai/README.md

@@ -1,11 +1,11 @@
-# OpenAI Agents SDK + Agentspan
+# OpenAI Agents SDK + Conductor Agent
 
 The OpenAI Agent format is natively recognized. Swap `run()` for `runtime.run()` — agent and tools stay identical.
 
 ## Before / After
 
 <table>
-<tr><th>Before (vanilla OpenAI Agents)</th><th>After (Agentspan)</th></tr>
+<tr><th>Before (vanilla OpenAI Agents)</th><th>After (Conductor Agent)</th></tr>
 <tr><td>
 
 ```typescript

examples/agents/vercel-ai/README.md

@@ -1,4 +1,4 @@
-# Vercel AI SDK + Agentspan
+# Vercel AI SDK + Conductor Agent
 
 Two ways to integrate — pick what fits your stage.
 
@@ -7,7 +7,7 @@ Two ways to integrate — pick what fits your stage.
 Swap one import. Your `generateText()` code stays identical.
 
 <table>
-<tr><th>Before (vanilla Vercel AI)</th><th>After (Agentspan)</th></tr>
+<tr><th>Before (vanilla Vercel AI)</th><th>After (Conductor Agent)</th></tr>
 <tr><td>
 
 ```typescript
@@ -72,7 +72,7 @@ Everything else — tools, model, prompt, result shape — is unchanged. Under t
 When you need features that `generateText()` can't express — termination conditions, guardrails, multi-agent handoff, human-in-the-loop — use the Agent API directly.
 
 <table>
-<tr><th>Before (vanilla Vercel AI)</th><th>After (Agentspan Agent API)</th></tr>
+<tr><th>Before (vanilla Vercel AI)</th><th>After (Conductor Agent API)</th></tr>
 <tr><td>
 
 ```typescript
@@ -152,10 +152,10 @@ await runtime.shutdown();
 
 ## Examples
 
-| File | Description |
-|------|-------------|
-| `01-basic-agent.ts` | Simple agent with one AI SDK tool |
-| `02-tools-compat.ts` | Mix of Agentspan native and AI SDK tools |
+| File | Description                                                                  |
+|------|------------------------------------------------------------------------------|
+| `01-basic-agent.ts` | Simple agent with one AI SDK tool                                            |
+| `02-tools-compat.ts` | Mix of Conductor native and AI SDK tools                                     |
 | `03-streaming.ts` | Default `runtime.run()` flow with a commented `runtime.stream()` alternative |
 | `04-structured-output.ts` | Zod schema for typed output |
 | `05-multi-step.ts` | Multiple tools, multi-turn conversation |