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Usewhisper

Official Whisper Context skill for OpenClaw.

Rating
3.9 (455 reviews)
Downloads
48,755 downloads
Version
1.0.0

Overview

Official Whisper Context skill for OpenClaw.

Complete Documentation

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Whisper Context (OpenClaw Skill)

Reduce OpenClaw API spend by shrinking the context you send to the model (delta compression + caching), while keeping long-term memory across sessions.

This skill provides a minimal Node-based helper (whisper-context.mjs) that OpenClaw agents can run to:

  • Retrieve packed context for a user/session (query_context) with compress: true and compression_strategy: "delta"
  • Persist the latest turn into long-term memory (ingest_session)
  • Write/search memories (memory_write, memory_search)
  • Run Oracle search/research (oracle_search)
  • Fetch cost analytics (get_cost_summary)
  • Inspect/warm cache (cache_stats, cache_warm)

Install (ClawHub)

bash
npx clawhub@latest install whisper-context

ClawHub installs the skill folder into your OpenClaw skills workspace (typically ~/.openclaw/workspace/skills/).

Setup

Set environment variables (where OpenClaw reads env for your agent):

bash
WHISPER_CONTEXT_API_URL=https://context.usewhisper.dev
WHISPER_CONTEXT_API_KEY=YOUR_KEY
WHISPER_CONTEXT_PROJECT=openclaw-cost-optimization

Notes:

  • WHISPER_CONTEXT_API_URL is optional (defaults to https://context.usewhisper.dev).
  • WHISPER_CONTEXT_PROJECT can be a project slug/name.
  • If the project does not exist yet, the helper will auto-create it in your org on first use.
  • For best memory behavior, use stable user_id and session_id values (don’t hardcode them globally; derive them per user/session in your agent).

Usage

All commands print JSON to stdout.

Global flags

  • --project : override WHISPER_CONTEXT_PROJECT
  • --api_url : override WHISPER_CONTEXT_API_URL
  • --timeout_ms : request timeout (default: 30000)

Tips for real agents (to actually slash spend)

  • Always call query_context first and inject the returned context instead of re-sending your entire chat history.
  • Keep compress: true, compression_strategy: "delta", and use_cache: true (the defaults in this helper) to maximize token savings.
  • Use stable user_id and session_id so memory works across sessions and cache keys stay effective.

Query packed context

bash
node whisper-context.mjs query_context \
  --query "What did we decide about the retriever cache?" \
  --user_id "user-123" \
  --session_id "session-123"

Ingest a completed turn

bash
node whisper-context.mjs ingest_session \
  --user_id "user-123" \
  --session_id "session-123" \
  --user "..." \
  --assistant "..."

If your message text is large or hard to shell-escape, pass JSON via stdin:

bash
echo '{ "user": "....", "assistant": "...." }' | node whisper-context.mjs ingest_session --session_id "session-123" --turn_json -

Security / Privacy Notes

  • ingest_session sends both user and assistant text to the Context API (so it can build memory and improve retrieval).
  • The helper only reads local files if you explicitly pass @path (or stdin via -).
  • Treat your WHISPER_CONTEXT_API_KEY like a secret; don’t commit it to git.

Write a memory

bash
node whisper-context.mjs memory_write \
  --memory_type "preference" \
  --content "User prefers concise answers." \
  --user_id "user-123"

Search memories

bash
node whisper-context.mjs memory_search \
  --query "preferences" \
  --user_id "user-123"

Oracle search / research

bash
node whisper-context.mjs oracle_search --query "How does delta compression work?" --mode search
node whisper-context.mjs oracle_search --query "Design a plan..." --mode research --max_steps 3

Cost summary

bash
node whisper-context.mjs get_cost_summary \
  --start_date "2026-01-01T00:00:00.000Z" \
  --end_date "2026-02-01T00:00:00.000Z"

Cache stats (prove your savings)

bash
node whisper-context.mjs cache_stats

Cache warm (optional)

bash
node whisper-context.mjs cache_warm --queries "retriever cache,l1 query cache,delta compression" --ttl_seconds 3600

Agent Integration Pattern

  • Before calling the model: run query_context and prepend the returned context (if present) to your prompt.
  • After replying: run ingest_session with the user + assistant messages to persist memory.

Troubleshooting

  • Missing WHISPER_CONTEXT_API_KEY: export the env var where OpenClaw runs commands.
  • HTTP 401/403: verify your API key and that it has access to the project/org.
  • HTTP 404 Project not found: verify WHISPER_CONTEXT_PROJECT (slug/name) exists.

Installation

Terminal bash

openclaw install usewhisper
    
Copied!

💻Code Examples

npx clawhub@latest install whisper-context

npx-clawhublatest-install-whisper-context.txt
ClawHub installs the skill folder into your OpenClaw skills workspace (typically `~/.openclaw/workspace/skills/`).

## Setup

Set environment variables (where OpenClaw reads env for your agent):

WHISPER_CONTEXT_PROJECT=openclaw-cost-optimization

whispercontextprojectopenclaw-cost-optimization.txt
Notes:

- `WHISPER_CONTEXT_API_URL` is optional (defaults to `https://context.usewhisper.dev`).
- `WHISPER_CONTEXT_PROJECT` can be a project slug/name.
- If the project does not exist yet, the helper will auto-create it in your org on first use.
- For best memory behavior, use stable `user_id` and `session_id` values (don’t hardcode them globally; derive them per user/session in your agent).

## Usage

All commands print JSON to stdout.

### Global flags

- `--project <slugOrName>`: override `WHISPER_CONTEXT_PROJECT`
- `--api_url <url>`: override `WHISPER_CONTEXT_API_URL`
- `--timeout_ms <n>`: request timeout (default: 30000)

### Tips for real agents (to actually slash spend)

- Always call `query_context` first and inject the returned `context` instead of re-sending your entire chat history.
- Keep `compress: true`, `compression_strategy: "delta"`, and `use_cache: true` (the defaults in this helper) to maximize token savings.
- Use stable `user_id` and `session_id` so memory works across sessions and cache keys stay effective.

### Query packed context

echo '{ "user": "....", "assistant": "...." }' | node whisper-context.mjs ingest_session --session_id "session-123" --turn_json -

echo--user--assistant----node-whisper-contextmjs-ingestsession---sessionid-session-123---turnjson--.txt
## Security / Privacy Notes

- `ingest_session` sends both user and assistant text to the Context API (so it can build memory and improve retrieval).
- The helper only reads local files if you explicitly pass `@path` (or stdin via `-`).
- Treat your `WHISPER_CONTEXT_API_KEY` like a secret; don’t commit it to git.

### Write a memory
example.sh
WHISPER_CONTEXT_API_URL=https://context.usewhisper.dev
WHISPER_CONTEXT_API_KEY=YOUR_KEY
WHISPER_CONTEXT_PROJECT=openclaw-cost-optimization
example.sh
node whisper-context.mjs query_context \
  --query "What did we decide about the retriever cache?" \
  --user_id "user-123" \
  --session_id "session-123"
example.sh
node whisper-context.mjs ingest_session \
  --user_id "user-123" \
  --session_id "session-123" \
  --user "..." \
  --assistant "..."
example.sh
node whisper-context.mjs memory_write \
  --memory_type "preference" \
  --content "User prefers concise answers." \
  --user_id "user-123"
example.sh
node whisper-context.mjs memory_search \
  --query "preferences" \
  --user_id "user-123"
example.sh
node whisper-context.mjs get_cost_summary \
  --start_date "2026-01-01T00:00:00.000Z" \
  --end_date "2026-02-01T00:00:00.000Z"

Tags

#coding_agents-and-ides

Quick Info

Category Development
Model Claude 3.5
Complexity One-Click
Author alinxus
Last Updated 3/10/2026
🚀
Optimized for
Claude 3.5
🧠

Ready to Install?

Get started with this skill in seconds

openclaw install usewhisper