LLMWiki Agent Bridge

llmwiki-agent-bridge is the optional source fan-out and runtime-synthesis layer for the LLMWiki toolchain. It runs as a local HTTP service, gathers evidence from one or more llmwiki-serve Knowledge Sources, and returns one normalized answer artifact with citations, optional graph context, and trace steps. It can run evidence-only for a first smoke test, or call a configured runtime adapter for synthesized answers. The default adapter targets OpenAI-compatible chat completions.

Use it when:

• A client wants one endpoint instead of managing source fan-out, prompting, runtime calls, citations, and trace shaping itself.

• You are connecting Hermes, DeepAgents, or a generic local runtime to LLMWiki evidence.

• llmwiki-chat or another UI needs Agent Bridge A2A or MCP endpoints backed by local Knowledge Sources.

Skip it when your agent or script can call llmwiki-serve directly and manage its own answer synthesis.

Quick Start | Choose a Path | Demo | Runtime Profiles | Message Contract | OpenAPI | Integrations | Examples | Docs portal | Contributing | Security | Support | Changelog

Public-preview note: npm install is available for llmwiki-agent-bridge@latest; source checkout remains supported for local development and release checks.

For a visual first-run walkthrough, see the docs demo. It shows the toolchain boundary: upstream workflows create compatible Markdown/wiki files, llmwiki-serve projects them read-only as Knowledge Sources, and the optional bridge can query selected served sources together.

It is not a Hermes-only bridge. Hermes is one supported runtime profile beside generic and deepagents; all profiles use the same message contract and return the same llmwiki_agent_result artifact shape. Runtime profiles identify the runtime family; runtime adapters choose how the bridge invokes it.

It is independent community tooling for LLM Wiki-style Markdown knowledge folders and agent-readable context. It is not an official project from Andrej Karpathy or any upstream producer named in compatibility examples.

Choose a Path

Start with the direct path whenever your client can call llmwiki-serve itself. Add the bridge when you need fan-out, runtime synthesis, or a single normalized result behind one local service.

Direct-client templates live in integrations. The bridge request and artifact contract is documented in docs/message-send-contract.md and generated as docs/openapi.json.

Related MCP server: Midnight MCP

Quick Start

Requirements:

• Node.js >=22.12

• npm >=10

• One or more running llmwiki-serve Knowledge Source endpoints

• Optional: a runtime for synthesis. Packaged runs currently default to an OpenAI-compatible /v1/chat/completions adapter.

• uv and Python 3.11 or newer when starting the sample source from a checkout

This quickstart starts a source-server checkout in Terminal 1. In Terminal 2, use the published bridge package for normal local runs, or use a bridge source checkout when you want to run repository checks, inspect packaged examples, or develop the bridge.

Terminal 1: source server

Clone and start the sample llmwiki-serve Knowledge Source. Leave this process running:

git clone https://github.com/knowledge-bridge-labs/llmwiki-serve.git
cd llmwiki-serve
uv sync --extra dev
uv run llmwiki-serve serve ./examples/sample-wiki --host 127.0.0.1 --port 8765

Terminal 2: bridge

From any terminal, verify that Terminal 1 is serving the sample source:

curl -s http://127.0.0.1:8765/manifest

Start the published public-preview package:

npx llmwiki-agent-bridge@latest

For source-checkout development instead, open Terminal 2 in the same parent workspace that contains the llmwiki-serve checkout, clone the bridge, install dependencies, run the local checks, and start the checkout CLI:

git clone https://github.com/knowledge-bridge-labs/llmwiki-agent-bridge.git
cd llmwiki-agent-bridge
npm ci
npm run check
node ./bin/llmwiki-agent-bridge.mjs

The CLI writes a JSON ready event when the bridge is listening:

{
  "event": "ready",
  "url": "http://127.0.0.1:8788",
  "sourcePolicy": "private-http"
}

For runtime-backed answer synthesis, restart the bridge with the runtime profile that matches your local runtime. This generic example works for any runtime that implements OpenAI-compatible chat completions.

macOS/Linux:

LLMWIKI_AGENT_BRIDGE_BASE_URL=http://127.0.0.1:8642/v1 \
LLMWIKI_AGENT_BRIDGE_MODEL=local-model \
LLMWIKI_AGENT_BRIDGE_RUNTIME_PROFILE=generic \
npx llmwiki-agent-bridge@latest

Windows PowerShell:

$env:LLMWIKI_AGENT_BRIDGE_BASE_URL = 'http://127.0.0.1:8642/v1'
$env:LLMWIKI_AGENT_BRIDGE_MODEL = 'local-model'
$env:LLMWIKI_AGENT_BRIDGE_RUNTIME_PROFILE = 'generic'
npx llmwiki-agent-bridge@latest

From a source checkout, use node ./bin/llmwiki-agent-bridge.mjs or node .\bin\llmwiki-agent-bridge.mjs in place of the final npx command.

For Hermes or a compatible OpenAI-style runtime, keep the same command shape and change LLMWIKI_AGENT_BRIDGE_RUNTIME_PROFILE plus the model name:

DeepAgents direct-provider integration should be ACP-first. Official DeepAgents documentation describes deepagents-acp as an ACP stdio CLI/programmatic API. This package ships an opt-in live ACP subprocess adapter behind runtimeAdapter=deepagents-acp. The default remains chat completions; the ACP adapter starts one deepagents-acp stdio process per bridge runtime request, fails permission prompts closed with ACP cancelled, and applies the bridge request timeout to child cleanup.

Leave the bridge running. The following commands are also bridge-checkout commands; if Terminal 2 is occupied by the bridge process, open another prompt and run cd llmwiki-agent-bridge first.

Check the local surface:

curl -s http://127.0.0.1:8788/health
curl -s http://127.0.0.1:8788/.well-known/agent-card.json
curl -s http://127.0.0.1:8788/settings.json

For the first run, open http://127.0.0.1:8788/settings and follow the guided setup:

1. Connect runtime when you want synthesis. Set the runtime profile, base URL, and model. The page saves these fields through PUT /settings/config.json.

2. Register Knowledge Sources. Add the sample source at http://127.0.0.1:8765, mark it ready and selected, then save it through GET/PUT /settings/sources.json.

3. Verify Bridge. Run the settings-page verification, which sends POST /message:send using the registered source and shows the returned answer artifact, citations, graph, and trace steps. /message:send defaults to delegated-runtime, so this settings-page check expects the configured runtime to be reachable. Use the evidence-only sample request below for a no-runtime smoke test.

Runtime credentials, network, auth, CORS, timeout, and source-policy controls live under diagnostics/advanced. Most local OSS users only need the three setup steps above.

For a no-runtime smoke test from a package-only launch, send an inline evidence-only request:

curl -s http://127.0.0.1:8788/message:send \
  -H 'content-type: application/json' \
  -d '{"data":{"query":"release readiness","mode":"evidence-only","knowledgeSources":[{"id":"sample-wiki","name":"Sample Wiki","protocol":"llmwiki-http","status":"ready","url":"http://127.0.0.1:8765","selected":true}]}}'

From a llmwiki-agent-bridge source checkout, you can send the bundled equivalent request so the --data @examples/message-send.local.json path resolves to this repository:

curl -s http://127.0.0.1:8788/message:send \
  -H 'content-type: application/json' \
  --data @examples/message-send.local.json

The bundled examples/message-send.local.json points at http://127.0.0.1:8765 and sets mode to evidence-only. If your llmwiki-serve or bridge process uses a different port, copy that file to a temporary path, update the source URL, and post it to the bridge URL you started.

MCP-style clients can complete the basic lifecycle on /mcp with initialize, notifications/initialized, and ping, then list bridge tools. Use llmwiki_agent_run when you want the bridge to produce a full grounded answer, or use the read-only source tools when your host agent wants to inspect sources progressively:

curl -s http://127.0.0.1:8788/mcp \
  -H 'content-type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-06-18","capabilities":{},"clientInfo":{"name":"probe","version":"1"}}}'

curl -s http://127.0.0.1:8788/mcp \
  -H 'content-type: application/json' \
  -d '{"jsonrpc":"2.0","id":2,"method":"ping"}'

curl -s http://127.0.0.1:8788/mcp \
  -H 'content-type: application/json' \
  -d '{"jsonrpc":"2.0","id":3,"method":"tools/list"}'

curl -s http://127.0.0.1:8788/mcp \
  -H 'content-type: application/json' \
  -d '{"jsonrpc":"2.0","id":4,"method":"tools/call","params":{"name":"llmwiki_agent_run","arguments":{"query":"release readiness"}}}'

curl -s http://127.0.0.1:8788/mcp \
  -H 'content-type: application/json' \
  -d '{"jsonrpc":"2.0","id":5,"method":"tools/call","params":{"name":"llmwiki_context","arguments":{"sourceId":"sample-wiki","query":"release readiness","limit":5}}}'

curl -s http://127.0.0.1:8788/mcp \
  -H 'content-type: application/json' \
  -d '{"jsonrpc":"2.0","id":6,"method":"tools/call","params":{"name":"llmwiki_graph_neighbors","arguments":{"sourceId":"sample-wiki","nodeId":"sample-wiki:overview","direction":"out","relation":"supports","limit":20}}}'

Omit knowledgeSources to use sources registered through /settings. Passing knowledgeSources: [] means "run with no sources" and is useful only for negative tests. The human-readable source list omits endpoint URLs. The structured llmwiki_sources.sources descriptors include source URLs so local workbenches can select bridge-managed sources and pass them back to /message:send. Do not copy private local URLs into public docs, issues, or examples.

The sample request asks release readiness. Exact answer wording may vary by runtime; the stable integration target is the completed task plus the llmwiki_agent_result data artifact fields:

{
  "answer": "Grounded answer text from the configured runtime.",
  "citations": [
    {
      "sourceId": "sample-wiki",
      "pageId": "release-readiness",
      "title": "Release Readiness",
      "score": 0.92
    }
  ],
  "graph": {
    "nodes": [],
    "edges": []
  },
  "steps": [
    {
      "id": "bridge-evidence",
      "label": "Prepare evidence",
      "status": "done"
    },
    {
      "id": "runtime-chat-completions",
      "label": "Call chat completions",
      "status": "done"
    }
  ]
}

For complete payloads and local setup notes, use examples, runtime profiles, the message contract, and client paths.

What It Does

The bridge exposes one small local HTTP surface:

For each POST /message:send request, the bridge:

1. Selects ready Knowledge Source descriptors from the request.

2. Fetches context over llmwiki-http, MCP-style JSON-RPC, or A2A-style HTTP.

3. Packages citations, graph context, source bundle metadata, and trace steps.

4. In delegated-runtime or hybrid, renders the evidence bundle as compact JSON and calls the configured OpenAI-compatible /v1/chat/completions endpoint.

5. In evidence-only, skips the runtime call and returns a bridge-generated evidence summary.

6. Returns answer text plus the llmwiki_agent_result artifact.

POST /mcp exposes two layers. llmwiki_agent_run calls the same internal run path as /message:send and returns text content plus structuredContent.llmwiki_agent_result. The read-only source tools llmwiki_list_sources, llmwiki_context, llmwiki_search, llmwiki_read, llmwiki_graph, llmwiki_graph_neighbors, and llmwiki_source_bundle do not call the configured runtime; they let a host agent list sources, read orientation-first context, search, open a page, inspect graph data, traverse a bounded neighborhood, or read safe source-bundle metadata before deciding whether more source exploration or a full answer run is needed.

For local operator checks without starting the HTTP service, use llmwiki-agent-bridge sources --json, llmwiki-agent-bridge ls, or llmwiki-agent-bridge status --probe. CLI output reads the local settings file and may show stored local roots for diagnostics. HTTP registry responses redact absolute roots to safe labels and reject duplicate source IDs on PUT /settings/sources.json.

Requests may supply knowledgeSources directly, or omit them and use the bridge's registered Knowledge Sources. Register sources in Step 2 of /settings or by calling PUT /settings/sources.json with a sources array. Multiple ready, selected sources can be registered and queried in one run. Source calls are bounded internally rather than sent with unbounded parallelism. The returned artifact is normalized back to the selected source order for citations, graph data, source bundles, trace steps, diagnostics, and per-source failures.

/message:send keeps the legacy data.query contract and also accepts additive conversation runtime context: data.message or top-level A2A message, data.messages, data.threadId, data.sessionId, data.turnId, data.runtimeContext.conversation, A2A-style configuration.historyLength, and A2A-style metadata.threadId/sessionId/turnId. The bridge uses the current query from data.query or A2A message text for source retrieval, then includes bounded user/assistant conversation history in the runtime chat-completions call after the evidence system prompt.

Safe request audit logging

Set LLMWIKI_AGENT_BRIDGE_AUDIT_LOG=1 or pass auditLog: true to emit one JSON line per audited bridge request through the existing logger (stdout by default). Audited routes are /message:send, /mcp, /settings, /settings.json, /settings/config.json, /settings/sources.json, /.well-known/agent-card.json, and /health.

Audit events are intentionally allowlisted. They include route patterns, status, duration, request/trace IDs, orchestration mode, runtime-called state, source and artifact counts, conversation count/boolean fields, and redaction flags. They do not include raw prompts, runtime answers, request or response bodies, query strings, source URLs, runtime base URLs, model names, API keys, bearer tokens, local paths, thread/session IDs, or conversation message content.

Default I/O debug logging

The bridge also emits a separate default-on JSONL I/O debug stream to .runtime-logs/llmwiki-agent-bridge-io.jsonl by default. These events use llmwiki.agent_bridge.io and are meant for local troubleshooting of /message:send request, source, runtime, and final artifact flow.

I/O logs may include prompts, source request/response bodies, runtime messages, runtime answers, and bridge response artifacts after redaction. They always redact Authorization and credential-like headers, API keys, bearer tokens, raw source/runtime URLs, URL query secrets, and obvious local absolute paths. This stream is intentionally separate from safe audit logging.

Set LLMWIKI_AGENT_BRIDGE_IO_LOG=off or persist "ioLog": false to disable I/O logs. Set LLMWIKI_AGENT_BRIDGE_IO_LOG=logger or stdout to route JSONL through the process logger instead. LLMWIKI_AGENT_BRIDGE_IO_LOG_PATH chooses a different file path.

flowchart LR
  client["client or chat workbench"]
  bridge["llmwiki-agent-bridge"]
  sources["selected Knowledge Sources"]
  runtime["OpenAI-compatible runtime"]
  artifact["answer artifact<br/>citations, graph, trace"]

  client --> bridge
  bridge --> sources
  sources --> bridge
  bridge --> runtime
  runtime --> bridge
  bridge --> artifact

Supported Knowledge Source protocols:

The generated OpenAPI contract is committed at docs/openapi.json. It covers the bridge's local HTTP surface and the llmwiki_agent_result artifact shape as a public-preview compatibility contract, not as certified A2A conformance.

The package includes @a2a-js/sdk@0.3.14 for A2A discovery compatibility checks while keeping the existing /message:send route stable.

Runtime Profiles

Profiles are conservative configuration presets over the same bridge contract. They change runtime identity metadata, default model naming, and operator-facing configuration; they do not change the LLMWiki evidence format. Compact JSON is the current runtime prompt evidence encoding. Broad production-default approval is an evidence claim gated by the tracked runtime prompt approval e2e, not a profile switch.

Legacy HERMES_* and HERMES_A2A_BRIDGE_* environment aliases remain available for migration. New deployments should prefer the LLMWIKI_AGENT_BRIDGE_* variables.

More detail: docs/runtime-profiles.md.

Package Surface

llmwiki-agent-bridge ships one Node package with these public entry points:

The public-preview package is available through llmwiki-agent-bridge@latest. Run it without installing globally:

npx llmwiki-agent-bridge@latest

Or install the package and run the CLI:

npm install --global llmwiki-agent-bridge@latest
llmwiki-agent-bridge

Source checkout remains a supported development path:

npm ci
npm run check
node ./bin/llmwiki-agent-bridge.mjs

Integration Paths

Direct-client integrations are the best first choice when the agent can safely retrieve context from llmwiki-serve itself. Bridge integrations are a better fit when a client wants one local service to gather evidence, call a runtime, and return a normalized result.

• Client path guide

• Integrations overview

• Codex skill example

• Claude Code command example

• Copilot instructions example

For direct agent use, run llmwiki-serve, set LLMWIKI_SERVE_URL, and adapt the templates in integrations/. The examples call /query first, then /search, /read/{page_id}, /graph, or /mcp for narrower inspection.

export LLMWIKI_SERVE_URL=http://127.0.0.1:8765

Use llmwiki-agent-bridge when the workflow also needs source fan-out, runtime synthesis, and one normalized answer artifact.

Configuration

Most local runs only need the runtime base URL, model, profile, and optional bridge bearer token. Keep runtimeAdapter at its default unless you are testing an explicit adapter integration:

Source policy, CORS, bind-host, and migration alias details are documented in runtime profiles and client paths.

The implementation keeps Hermes defaults for backward compatibility. For a new OSS install, set LLMWIKI_AGENT_BRIDGE_RUNTIME_PROFILE=generic explicitly unless you are connecting Hermes or DeepAgents, and set the model name expected by that runtime.

Do not expose the bridge on a public or shared interface without LLMWIKI_AGENT_BRIDGE_BEARER_TOKEN. Non-loopback binds require an explicit opt-in, and public unauthenticated binds are a development-only escape hatch.

The /settings page is the guided first-run UI over the same configuration. Step 1 connects the runtime and saves profile, base URL, and model through PUT /settings/config.json. Step 2 saves reusable Knowledge Source descriptors through GET/PUT /settings/sources.json. Step 3 verifies the bridge by sending POST /message:send from the page and showing the returned artifact. Runtime credentials, advanced network, auth, CORS, timeout, and source-policy fields are still available under diagnostics/advanced; changes to live runtime fields apply to the running process. Bind host and port are saved for the next start and the save response lists them under restartRequired.

Programmatic API

import { startAgentBridge } from 'llmwiki-agent-bridge'

const { server, url } = await startAgentBridge({
  port: 0,
  baseUrl: 'http://127.0.0.1:8642/v1',
  model: 'local-model',
  runtimeProfile: 'generic',
})

console.log(url)
server.close()

Legacy createHermesA2aBridge and startHermesA2aBridge exports are available during migration.

Repository Structure

Release Status

llmwiki-agent-bridge is in public preview. The npm package is published, and package-based npx llmwiki-agent-bridge@latest or npm install --global llmwiki-agent-bridge@latest runs are supported for local use. Source checkout remains supported for development, repository validation, and release checks.

Repository, issue, CI badge, package, and hosted docs URLs intentionally target the Knowledge Bridge Labs organization. The hosted Release Status & Compatibility matrix records which package and runtime paths are currently available.

See docs/release.md before preparing, publishing, or tagging the next public-preview release.

Development

npm run lint
npm run contracts:check
npm test
npm run pack:dry-run
npm run audit

npm run check runs lint, generated-contract drift checks, tests, and dry packaging.

Toolchain

Community

Before opening a pull request, read CONTRIBUTING.md, keep changes focused on the bridge contract, and include validation results.

Use GitHub issues for reproducible bugs, focused feature requests, runtime or protocol compatibility notes, and documentation gaps. Keep examples public and sanitized; do not include credentials, bearer tokens, private endpoint URLs, raw sensitive wiki content, or private runtime logs.

• Bug reports

• Runtime or protocol compatibility

• Feature requests

• Documentation issues

• Security policy

• Support guide

• Code of conduct

For vulnerabilities, follow SECURITY.md instead of opening a detailed public issue.

License

Apache-2.0. See LICENSE.