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- New extensions/parallel package modeled on extensions/exa
- Wires Parallel's POST /v1/search through the generic web_search contract,
exposing Parallel's recommended {objective, search_queries} shape (plus
optional count, session_id, client_model) so the model can supply both the
natural-language goal and 2-3 short keyword queries as Parallel docs advise
- client_model lets the model report its own slug so Parallel can tailor
optimizations for the consuming model's capabilities; partitions the cache
by client_model so different models do not silently share ranked excerpts
- Honors top-level tools.web.search.{maxResults,timeoutSeconds,cacheTtlMinutes}
via the shared SDK helpers (mergeScopedSearchConfig, withTrustedWebSearchEndpoint,
buildSearchCacheKey, read/writeCachedSearchPayload)
- Auto-detect order 75; auth via PARALLEL_API_KEY or
plugins.entries.parallel.config.webSearch.apiKey
- Optional baseUrl override for proxies (e.g. Cloudflare AI Gateway)
- Threads caller-supplied session_id through follow-up calls; strips
auto-generated session_id from the shared cache to avoid cross-task leaks
- Always sends advanced_settings.max_results so result volume matches the
OpenClaw web_search default (5) instead of Parallel's default (10)
- Identifies the plugin via User-Agent header built from package version
- Runtime accepts the generic `query` arg as a fallback so the operator
CLI (openclaw capability web.search) keeps working when Parallel is the
active provider: it is promoted into the lone `search_queries` entry.
`objective` stays optional and is never synthesized from a keyword
query (Parallel documents it as natural-language intent). Agent callers
using the native objective+search_queries shape take precedence; the
schema still advertises only the native keys
- Updates the agent tool-display extractor (src/agents/tool-display-common.ts)
to recognize Parallel's objective+search_queries shape so calls render with
query context in CLI progress and Codex activity metadata
- Adds /tools/parallel-search docs page, web.md provider listing, docs nav,
labeler entry, per-plugin registration contract test, and minimal core
touch-points (legacy migrate, registration cases, providers contract list,
runtime bundled list, vitest extension paths)
128 lines
4.3 KiB
Markdown
128 lines
4.3 KiB
Markdown
---
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summary: "Parallel Search -- LLM-optimized dense excerpts from web sources"
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read_when:
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- You want to use Parallel for web_search
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- You need a PARALLEL_API_KEY
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- You want dense excerpts ranked for LLM context efficiency
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title: "Parallel search"
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---
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OpenClaw supports [Parallel](https://parallel.ai/) as a `web_search` provider.
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Parallel returns ranked, LLM-optimized dense excerpts from a web index
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purpose-built for AI agents.
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## Get an API key
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<Steps>
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<Step title="Create an account">
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Sign up at [platform.parallel.ai](https://platform.parallel.ai) and
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generate an API key from your dashboard.
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</Step>
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<Step title="Store the key">
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Set `PARALLEL_API_KEY` in the Gateway environment, or configure via:
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```bash
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openclaw configure --section web
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```
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</Step>
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</Steps>
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## Config
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```json5
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{
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plugins: {
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entries: {
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parallel: {
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config: {
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webSearch: {
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apiKey: "par-...", // optional if PARALLEL_API_KEY is set
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baseUrl: "https://api.parallel.ai", // optional; OpenClaw appends /v1/search
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},
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},
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},
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},
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},
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tools: {
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web: {
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search: {
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provider: "parallel",
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},
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},
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},
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}
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```
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**Environment alternative:** set `PARALLEL_API_KEY` in the Gateway environment.
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For a gateway install, put it in `~/.openclaw/.env`.
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## Base URL override
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Set `plugins.entries.parallel.config.webSearch.baseUrl` when Parallel requests
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should go through a compatible proxy or alternate Parallel endpoint (for
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example, the Cloudflare AI Gateway). OpenClaw normalizes bare hosts by
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prepending `https://` and appends `/v1/search` unless the path already ends
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there. The resolved endpoint is included in the search cache key, so results
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from different Parallel endpoints are not shared.
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## Tool parameters
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OpenClaw exposes Parallel's native search shape so the model can fill in both
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the natural-language goal and a few short keyword queries — the pairing
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Parallel [recommends](https://docs.parallel.ai/search/best-practices) for
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best results.
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<ParamField path="objective" type="string" required>
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Natural-language description of the underlying question or goal (max 5000
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chars). Should be self-contained.
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</ParamField>
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<ParamField path="search_queries" type="string[]" required>
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Concise keyword search queries, 3-6 words each (1-5 entries, max 200 chars
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each). Provide 2-3 diverse queries for best results.
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</ParamField>
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<ParamField path="count" type="number">
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Results to return (1-40).
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</ParamField>
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<ParamField path="session_id" type="string">
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Optional Parallel session id (max 1000 chars). Pass the `sessionId` from a
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previous Parallel result on follow-up searches that are part of the same task
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so Parallel can group related calls and improve subsequent results.
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</ParamField>
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<ParamField path="client_model" type="string">
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Optional identifier of the model making the call (e.g. `claude-opus-4-7`,
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`gpt-5.5`). Lets Parallel tailor default settings for your model's
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capabilities. Pass the exact active model slug; do not shorten to a family
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alias.
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</ParamField>
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## Notes
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- Parallel ranks and compresses results based on LLM reasoning utility, not
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human click-through; expect dense excerpts in each result rather than
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full-page content
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- Result excerpts come back as the `excerpts` array and are also joined into
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the `description` field for compatibility with the generic `web_search`
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contract
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- Parallel returns a `session_id` on every response; OpenClaw surfaces it as
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`sessionId` in the tool payload so callers can group follow-up searches
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- `searchId`, `warnings`, and `usage` from Parallel are passed through when
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present
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- OpenClaw always forwards a resolved result count to Parallel as
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`advanced_settings.max_results`. The caller's `count` arg wins, then the
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top-level `tools.web.search.maxResults` setting, otherwise OpenClaw's
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generic `web_search` default (5). This keeps result volume consistent
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when switching between providers; Parallel on its own defaults to 10
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- Results are cached for 15 minutes by default (configurable via
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`cacheTtlMinutes`)
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## Related
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- [Web Search overview](/tools/web) -- all providers and auto-detection
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- [Exa search](/tools/exa-search) -- neural search with content extraction
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- [Perplexity Search](/tools/perplexity-search) -- structured results with domain filtering
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