caveman.so valid
Caveman
Caveman is a token-efficiency stack for AI agents: an open-source output-compression skill (74k+ GitHub stars), a local proxy that compresses eligible context with byte-exact recovery, TypeScript and Python middleware for local tool-result compression, and Caveman Cloud for spend analysis, evaluations, and agent investigations. Teams can connect native LiteLLM traces while keeping their existing inference gateway.
- Authority
- 47 reach 6 · trust 5 · quality 21 · freshness 15
- Tier
- listed
- llms.txt
- https://caveman.so/llms.txt
- Sections
- 11
- Links
- 119
- Size
- 28189 bytes
- Popularity rank
- #722537
- Country
- — Publisher location unknown; CDN address excluded
- Country evidence
- No published address evidence collected yet
- Categories
- AI and machine learning
- For agents
- Documentation: developer or product docs worth reading, nothing to call
- First seen
- 2026-10-25T17:54:58.855Z
- Last checked
- 2026-10-25T23:47:52.396Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-25T23:47:48.711Z. Cached copy · Source on caveman.so
# Caveman
> Caveman is a token-efficiency stack for AI agents: an open-source output-compression skill (74k+ GitHub stars), a local proxy that compresses eligible context with byte-exact recovery, TypeScript and Python middleware for local tool-result compression, and Caveman Cloud for spend analysis, evaluations, and agent investigations. Teams can connect native LiteLLM traces while keeping their existing inference gateway.
Anyone can sign up for Caveman Cloud at https://app.caveman.so/signup. Free is for one person and needs no card; Team is for a whole team and starts with a 7-day free trial; plans at https://caveman.so/pricing. The local skill, proxy, extension and middleware are available now.
## When to use Caveman
Reach for Caveman when the job is about **what an agent's tokens cost, and proving a change actually made them cheaper**. Specifically:
- **Cut an agent's output tokens** — install the open-source skill so a coding agent answers tersely. Measured anchor: 65% fewer output tokens across 10 prompts, with code, commands and errors byte-for-byte exact. Start: `npx skills add JuliusBrussee/caveman -g`
- **Compress context an agent already sends** — tool output, logs, JSON, tables, diffs, search results. Run `caveman wrap <agent>`; originals are stored locally and are always recoverable. No account required.
- **Find out where AI spend actually goes** — per member, per key, per workflow, per model, priced from provider-reported usage against the public catalog. Use the Caveman Platform control API.
- **Keep LiteLLM and add Caveman Platform** — export native OpenTelemetry traces for usage analysis, debugging, and investigations. [Connect LiteLLM](https://caveman.so/solutions/litellm).
- **Apply an optimization safely** — caching hints, compression, or model routing behind record → replay → shadow → canary → active gates, with automatic rollback on regression.
- **Prove a saving to a finance owner** — the verified ledger only books provider-causal evidence, signed with Ed25519. It starts at $0.00 and stays there until a change is live on real traffic.
- **Compress tool results in your own app** — Caveman Middleware adds local compression and original recovery to supported TypeScript and Python frameworks. Inference stays with your provider. Version 1.0; quickstarts: https://docs.caveman.so/caveman/middleware
Do **not** reach for Caveman when you need an inference provider, a model, a vector database, or a general-purpose observability platform. LiteLLM integrations keep their existing provider traffic path. Exported traces travel to Caveman separately. Imported trace content is stored, redacted and encrypted, by default; an exporter can refuse with `x-cave-capture-content: false`.
## How an agent calls Caveman
- Base URL: `https://api.caveman.so/api/v1`
- Specification: [OpenAPI 3.1](https://caveman.so/openapi.json) — 238 operations, each with a unique `operationId`, a description, and the scopes it requires.
- Authentication: on
…Related sites
Category suggestions: other listed sites in AI and machine learning. These share a category. See the whole category →
| Domain | Title | Category | Country | Authority | llms.txt | llms-full.txt | Save |
|---|---|---|---|---|---|---|---|
| gofrantic.com | Frantic | interface AI and machine learning AI agents and MCP | — | 61 | ✓ | ||
| agentwebmap.com | Agent Web Map | interface AI and machine learning AI agents and MCP +1 | FR | 60 | ✓ | ✓ | |
| aiteamguide.com | AITeamGuide | documentation AI and machine learning Marketing +4 | — | 60 | ✓ | ✓ | |
| cloudflare.com | Cloudflare | interface AI and machine learning Infrastructure +1 | — | 85 | ✓ | ✓ | |
| adobe.com | Adobe Tools | transactional AI and machine learning Productivity +1 | FR | 75 | ✓ | ||
| intel.com | Intel Corporation | documentation Industry and manufacturing Consumer electronics +1 | US | 74 | ✓ | ✓ | |
| opera.com | The Opera browser overview | documentation Infrastructure AI and machine learning +2 | NL | 74 | ✓ | ||
| taboola.com | Taboola.com | documentation AI and machine learning Marketing | — | 74 | ✓ | ✓ |
Machine-readable: GET /v1/resolve?q=caveman.so · GET /v1/domain/caveman.so · this page as Accept: application/json or text/markdown · MCP lookup_domain
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1. POST https://agentwebmap.com/v1/sites/caveman.so/claims and keep claim_id and claim_secret private.
2. Publish the verification line "AgentWebMap verification: <token>" (token from step 1) in https://caveman.so/llms.txt, or use the DNS, meta-tag or well-known method the response describes. This only verifies the listing; your website and domain remain yours.
3. POST https://agentwebmap.com/v1/sites/caveman.so/verify with {"claim_id": "...", "claim_secret": "..."}.
4. Save the api_key from the answer; it manages the listing (PATCH https://agentwebmap.com/v1/sites/caveman.so).
MCP equivalent: tools begin_ownership_claim, then verify_domain, at https://agentwebmap.com/mcp. Docs: https://agentwebmap.com/docs#verifyCorrections or removal requests: contact the directory.