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) withcompress: trueandcompression_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)
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):
WHISPER_CONTEXT_API_URL=https://context.usewhisper.dev
WHISPER_CONTEXT_API_KEY=YOUR_KEY
WHISPER_CONTEXT_PROJECT=openclaw-cost-optimization
Notes:
WHISPER_CONTEXT_API_URLis optional (defaults tohttps://context.usewhisper.dev).WHISPER_CONTEXT_PROJECTcan 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_idandsession_idvalues (don’t hardcode them globally; derive them per user/session in your agent).
Usage
All commands print JSON to stdout.
Global flags
--project: overrideWHISPER_CONTEXT_PROJECT--api_url: overrideWHISPER_CONTEXT_API_URL--timeout_ms: request timeout (default: 30000)
Tips for real agents (to actually slash spend)
- Always call
query_contextfirst and inject the returnedcontextinstead of re-sending your entire chat history. - Keep
compress: true,compression_strategy: "delta", anduse_cache: true(the defaults in this helper) to maximize token savings. - Use stable
user_idandsession_idso memory works across sessions and cache keys stay effective.
Query packed context
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
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:
echo '{ "user": "....", "assistant": "...." }' | node whisper-context.mjs ingest_session --session_id "session-123" --turn_json -
Security / Privacy Notes
ingest_sessionsends 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_KEYlike a secret; don’t commit it to git.
Write a memory
node whisper-context.mjs memory_write \
--memory_type "preference" \
--content "User prefers concise answers." \
--user_id "user-123"
Search memories
node whisper-context.mjs memory_search \
--query "preferences" \
--user_id "user-123"
Oracle search / research
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
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)
node whisper-context.mjs cache_stats
Cache warm (optional)
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_contextand prepend the returnedcontext(if present) to your prompt. - After replying: run
ingest_sessionwith 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: verifyWHISPER_CONTEXT_PROJECT(slug/name) exists.
Installation
openclaw install usewhisper
💻Code Examples
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):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 <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 contextecho '{ "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 memoryWHISPER_CONTEXT_API_URL=https://context.usewhisper.dev
WHISPER_CONTEXT_API_KEY=YOUR_KEY
WHISPER_CONTEXT_PROJECT=openclaw-cost-optimizationnode whisper-context.mjs query_context \
--query "What did we decide about the retriever cache?" \
--user_id "user-123" \
--session_id "session-123"node whisper-context.mjs ingest_session \
--user_id "user-123" \
--session_id "session-123" \
--user "..." \
--assistant "..."node whisper-context.mjs memory_write \
--memory_type "preference" \
--content "User prefers concise answers." \
--user_id "user-123"node whisper-context.mjs memory_search \
--query "preferences" \
--user_id "user-123"node whisper-context.mjs get_cost_summary \
--start_date "2026-01-01T00:00:00.000Z" \
--end_date "2026-02-01T00:00:00.000Z"Tags
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