feat: SEO improvements and npm publish prep

- Expand sitemap from 2 to 13 URLs (all docs pages)
- Update JSON-LD featureList with Anthropic, OpenCode, TypeScript SDK
- Update llms.txt with docs links, TS SDK, OpenCode plugin sections
- Add READMEs for agentlens-sdk and opencode-agentlens packages
- Add repository, homepage, author, bugs fields to both package.json
This commit is contained in:
Vectry
2026-02-10 03:43:04 +00:00
parent 434e68991d
commit f0ce0f7884
7 changed files with 283 additions and 8 deletions

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@@ -6,19 +6,35 @@ AgentLens helps engineering teams debug, monitor, and improve AI agent applicati
## Getting Started
- [GitHub Repository](https://gitea.repi.fun/repi/agentlens): Source code, issues, and contribution guide
- [Documentation](https://agentlens.vectry.tech/docs): Full docs covering SDKs, integrations, API reference, and self-hosting
- [Quick Start](https://agentlens.vectry.tech/docs/getting-started): Install, initialize, and send your first trace in 5 minutes
- [GitHub Repository](https://gitea.repi.fun/repi/agentlens): Source code and issues
- [PyPI Package](https://pypi.org/project/vectry-agentlens/): Install with `pip install vectry-agentlens`
- [Dashboard](https://agentlens.vectry.tech/dashboard): Live demo dashboard with sample traces
- [npm Package (SDK)](https://www.npmjs.com/package/agentlens-sdk): Install with `npm install agentlens-sdk`
- [npm Package (OpenCode Plugin)](https://www.npmjs.com/package/opencode-agentlens): Install with `npm install opencode-agentlens`
- [Dashboard](https://agentlens.vectry.tech/dashboard): Live dashboard with real-time traces
## Python SDK
- [Python SDK Reference](https://agentlens.vectry.tech/docs/python-sdk): init(), @trace decorator, log_decision(), TraceContext, configuration
- [Basic Usage](https://gitea.repi.fun/repi/agentlens/src/branch/main/examples/basic_agent.py): Minimal SDK usage with trace context and decision logging
- [OpenAI Integration](https://gitea.repi.fun/repi/agentlens/src/branch/main/examples/openai_agent.py): Wrap OpenAI client for automatic LLM call tracing
- [Multi-Agent Example](https://gitea.repi.fun/repi/agentlens/src/branch/main/examples/multi_agent.py): Nested multi-agent workflow tracing
- [Function Calling](https://gitea.repi.fun/repi/agentlens/src/branch/main/examples/moonshot_real_test.py): Real LLM test with tool/function calling
## TypeScript SDK
- [TypeScript SDK Reference](https://agentlens.vectry.tech/docs/typescript-sdk): init(), TraceBuilder, createDecision(), BatchTransport
- Install with `npm install agentlens-sdk`
## OpenCode Plugin
- [OpenCode Plugin Docs](https://agentlens.vectry.tech/docs/opencode-plugin): Capture coding agent sessions, tool calls, LLM calls, permission flows, and file edits
- Install with `npm install opencode-agentlens`
- Configure via AGENTLENS_API_KEY and AGENTLENS_ENDPOINT environment variables
## Key Concepts
- [Concepts](https://agentlens.vectry.tech/docs/concepts): Traces, Spans, Decision Points, Events explained
- **Traces**: Top-level containers for agent execution sessions, with tags and metadata
- **Spans**: Individual operations within a trace (LLM calls, tool calls, chain steps)
- **Decision Points**: The core differentiator — captures what was chosen, what alternatives existed, and why
@@ -26,6 +42,7 @@ AgentLens helps engineering teams debug, monitor, and improve AI agent applicati
## API
- [API Reference](https://agentlens.vectry.tech/docs/api-reference): Full REST API contract
- POST /api/traces: Batch ingest traces from SDK (Bearer token auth)
- GET /api/traces: List traces with pagination, search, filters, and sorting
- GET /api/traces/:id: Get single trace with all spans, decisions, and events
@@ -34,12 +51,14 @@ AgentLens helps engineering teams debug, monitor, and improve AI agent applicati
## Integrations
- **OpenAI**: `wrap_openai(client)` auto-instruments all chat completions, streaming, and tool calls
- **LangChain**: `AgentLensCallbackHandler` captures chains, agents, tools, and LLM calls
- [OpenAI Integration](https://agentlens.vectry.tech/docs/integrations/openai): `wrap_openai(client)` auto-instruments chat completions, streaming, and tool calls
- [Anthropic Integration](https://agentlens.vectry.tech/docs/integrations/anthropic): `wrap_anthropic(client)` auto-instruments Claude API calls
- [LangChain Integration](https://agentlens.vectry.tech/docs/integrations/langchain): `AgentLensCallbackHandler` captures chains, agents, tools, and LLM calls
- **Any Python Code**: `@trace` decorator and `log_decision()` for custom instrumentation
## Self-Hosting
- [Self-Hosting Guide](https://agentlens.vectry.tech/docs/self-hosting): Docker, docker-compose, env vars, reverse proxy
- Docker Compose deployment with PostgreSQL and Redis
- Single `docker compose up -d` to run
- Environment variables: DATABASE_URL, REDIS_URL, AGENTLENS_API_KEY

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@@ -37,9 +37,12 @@ export default function HomePage() {
"Agent Decision Tracing",
"Real-time Dashboard",
"OpenAI Integration",
"Anthropic Integration",
"LangChain Integration",
"OpenCode Plugin",
"Self-hosting Support",
"Python SDK",
"TypeScript SDK",
],
}),
}}

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@@ -2,8 +2,21 @@ import { MetadataRoute } from "next";
export default function sitemap(): MetadataRoute.Sitemap {
const baseUrl = "https://agentlens.vectry.tech";
const now = new Date();
return [
{ url: baseUrl, lastModified: new Date(), changeFrequency: "weekly", priority: 1.0 },
{ url: `${baseUrl}/dashboard`, lastModified: new Date(), changeFrequency: "daily", priority: 0.8 },
{ url: baseUrl, lastModified: now, changeFrequency: "weekly", priority: 1.0 },
{ url: `${baseUrl}/dashboard`, lastModified: now, changeFrequency: "daily", priority: 0.8 },
{ url: `${baseUrl}/docs`, lastModified: now, changeFrequency: "weekly", priority: 0.9 },
{ url: `${baseUrl}/docs/getting-started`, lastModified: now, changeFrequency: "monthly", priority: 0.9 },
{ url: `${baseUrl}/docs/concepts`, lastModified: now, changeFrequency: "monthly", priority: 0.7 },
{ url: `${baseUrl}/docs/python-sdk`, lastModified: now, changeFrequency: "monthly", priority: 0.8 },
{ url: `${baseUrl}/docs/typescript-sdk`, lastModified: now, changeFrequency: "monthly", priority: 0.8 },
{ url: `${baseUrl}/docs/opencode-plugin`, lastModified: now, changeFrequency: "monthly", priority: 0.8 },
{ url: `${baseUrl}/docs/integrations/openai`, lastModified: now, changeFrequency: "monthly", priority: 0.7 },
{ url: `${baseUrl}/docs/integrations/anthropic`, lastModified: now, changeFrequency: "monthly", priority: 0.7 },
{ url: `${baseUrl}/docs/integrations/langchain`, lastModified: now, changeFrequency: "monthly", priority: 0.7 },
{ url: `${baseUrl}/docs/api-reference`, lastModified: now, changeFrequency: "monthly", priority: 0.7 },
{ url: `${baseUrl}/docs/self-hosting`, lastModified: now, changeFrequency: "monthly", priority: 0.7 },
];
}

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@@ -0,0 +1,88 @@
# opencode-agentlens
OpenCode plugin for AgentLens — trace your coding agent's decisions, tool calls, and sessions.
[![npm version](https://img.shields.io/npm/v/opencode-agentlens.svg)](https://www.npmjs.com/package/opencode-agentlens)
[![license](https://img.shields.io/npm/l/opencode-agentlens.svg)](https://github.com/repi/agentlens/blob/main/LICENSE)
## Requirements
- OpenCode >= 1.1.0
## Install
```bash
npm install opencode-agentlens
```
## Configuration
### Environment Variables
| Variable | Required | Default | Description |
|---|---|---|---|
| `AGENTLENS_API_KEY` | Yes | — | Your AgentLens API key. |
| `AGENTLENS_ENDPOINT` | No | AgentLens cloud | API endpoint URL. |
| `AGENTLENS_ENABLED` | No | `true` | Set to `false` to disable tracing. |
| `AGENTLENS_CAPTURE_CONTENT` | No | `true` | Capture message and tool output content. |
| `AGENTLENS_MAX_OUTPUT_LENGTH` | No | `10000` | Max characters to capture per output. |
| `AGENTLENS_FLUSH_INTERVAL` | No | `5000` | Flush interval in milliseconds. |
| `AGENTLENS_BATCH_SIZE` | No | `100` | Max items per batch before auto-flush. |
### OpenCode Setup
Add the plugin to your OpenCode configuration at `~/.config/opencode/opencode.json`:
```json
{
"plugins": [
{
"name": "agentlens",
"module": "opencode-agentlens"
}
]
}
```
Set your API key:
```bash
export AGENTLENS_API_KEY="your-api-key"
```
The plugin activates automatically when OpenCode starts. No code changes required.
## What Gets Captured
The plugin hooks into OpenCode's event system and records:
- **Sessions** — Full session lifecycle from start to finish, including duration and metadata.
- **Tool calls** — Every tool invocation with input arguments and output results (e.g., file reads, shell commands, code edits).
- **LLM calls** — Chat messages sent to and received from the model, including token usage.
- **Permission flows** — When the agent requests permission and whether it was granted or denied.
- **File edits** — File paths and change summaries produced by the agent.
All data is sent to your AgentLens instance where you can inspect traces, replay sessions, and analyze agent behavior.
## How It Works
The plugin registers handlers for OpenCode's event hooks:
| Event | What is recorded |
|---|---|
| Session start/end | Trace lifecycle, session metadata |
| `tool.execute.before` | Tool name, input arguments |
| `tool.execute.after` | Tool output, duration, success/failure |
| `chat.message` | LLM responses and assistant messages |
| `chat.params` | Model parameters and prompt configuration |
| `permission.ask` | Permission requests and user decisions |
Each OpenCode session maps to a single AgentLens trace. Tool calls and LLM interactions become spans within that trace.
## Documentation
Full documentation: [agentlens.vectry.tech/docs/opencode-plugin](https://agentlens.vectry.tech/docs/opencode-plugin)
## License
MIT

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@@ -43,5 +43,15 @@
"tracing",
"coding-agent"
],
"license": "MIT"
"license": "MIT",
"author": "Vectry <hunter@repi.fun>",
"repository": {
"type": "git",
"url": "https://gitea.repi.fun/repi/agentlens",
"directory": "packages/opencode-plugin"
},
"homepage": "https://agentlens.vectry.tech",
"bugs": {
"url": "https://gitea.repi.fun/repi/agentlens/issues"
}
}

124
packages/sdk-ts/README.md Normal file
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@@ -0,0 +1,124 @@
# agentlens-sdk
TypeScript SDK for AgentLens — Agent observability that traces decisions, not just API calls.
[![npm version](https://img.shields.io/npm/v/agentlens-sdk.svg)](https://www.npmjs.com/package/agentlens-sdk)
[![license](https://img.shields.io/npm/l/agentlens-sdk.svg)](https://github.com/repi/agentlens/blob/main/LICENSE)
## Install
```bash
npm install agentlens-sdk
```
## Quick Start
```typescript
import { init, TraceBuilder, shutdown } from "agentlens-sdk";
// Initialize the SDK
init({
apiKey: "your-api-key",
endpoint: "https://agentlens.vectry.tech/api",
});
// Create a trace
const trace = new TraceBuilder("agent-run-123", "My Agent Task");
// Add a span (tool call, LLM call, etc.)
trace.addSpan({
name: "search-documents",
type: "tool",
input: { query: "quarterly report" },
output: { results: 5 },
});
// Record a decision point
trace.addDecision({
name: "select-tool",
type: "tool_selection",
options: ["search", "calculate", "summarize"],
selected: "search",
reasoning: "User asked for document lookup",
});
// Finalize and send
await trace.end();
// Flush remaining data before exit
await shutdown();
```
## API Reference
### Core Functions
| Function | Description |
|---|---|
| `init(options)` | Initialize the SDK with your API key and configuration. |
| `shutdown()` | Flush pending data and shut down the transport. |
| `flush()` | Manually flush the current batch without shutting down. |
| `getClient()` | Return the initialized client instance. |
### TraceBuilder
The primary interface for constructing traces.
```typescript
const trace = new TraceBuilder(traceId: string, name: string);
trace.addSpan(span: SpanPayload); // Add a span to the trace
trace.addDecision(decision: DecisionPointPayload); // Record a decision point
trace.end(): Promise<void>; // Finalize and send the trace
```
### Standalone Helpers
| Function | Description |
|---|---|
| `createDecision(decision)` | Create and send a standalone decision point outside a trace. |
## Types
Core payload types used throughout the SDK:
- **`TracePayload`** — Top-level trace structure containing spans and metadata.
- **`SpanPayload`** — Individual unit of work (tool call, LLM request, retrieval, etc.).
- **`DecisionPointPayload`** — A recorded decision: what options existed, what was chosen, and why.
- **`EventPayload`** — Discrete event within a span or trace.
- **`JsonValue`** — Flexible JSON-compatible value type for inputs/outputs.
## Enums
| Enum | Values |
|---|---|
| `TraceStatus` | Status of the overall trace (e.g., running, completed, failed). |
| `SpanType` | Category of span (e.g., tool, llm, retrieval). |
| `SpanStatus` | Status of an individual span. |
| `DecisionType` | Category of decision (e.g., tool_selection, routing). |
| `EventType` | Category of event within a span. |
## Configuration
Pass `InitOptions` to `init()`:
```typescript
init({
apiKey: "your-api-key", // Required. Your AgentLens API key.
endpoint: "https://...", // API endpoint. Defaults to AgentLens cloud.
maxBatchSize: 100, // Max items per batch before auto-flush.
flushInterval: 5000, // Auto-flush interval in milliseconds.
});
```
## Transport
The SDK ships with `BatchTransport`, which batches payloads and flushes them on an interval or when the batch size threshold is reached. This is used internally by `init()` — you typically do not need to instantiate it directly.
## Documentation
Full documentation: [agentlens.vectry.tech/docs/typescript-sdk](https://agentlens.vectry.tech/docs/typescript-sdk)
## License
MIT

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@@ -31,6 +31,24 @@
"node": ">=20"
},
"license": "MIT",
"author": "Vectry <hunter@repi.fun>",
"repository": {
"type": "git",
"url": "https://gitea.repi.fun/repi/agentlens",
"directory": "packages/sdk-ts"
},
"homepage": "https://agentlens.vectry.tech",
"bugs": {
"url": "https://gitea.repi.fun/repi/agentlens/issues"
},
"keywords": [
"agentlens",
"observability",
"tracing",
"ai-agents",
"sdk",
"typescript"
],
"devDependencies": {
"tsup": "^8.3.0",
"typescript": "^5.7.0"