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Model provider reports — index#

This directory distills real, sourced capability data for the four LLM vendors PluggableHarness Agent ships first-party model-provider plugins for: Anthropic, OpenAI, Google (Gemini), and xAI (Grok). Three other vendors appear in the underlying research (Mistral, Cohere, Ollama) but are out of scope for first-party support and aren't covered here.

Important

These are descriptive reference documents, not authoritative PluggableHarness Agent protocol specs. docs/specifications/model/ remains the sole source of truth for the model-provider plugin protocol itself (GetCapabilities, Configure, StreamCompletion, CountTokens, the ModelSpec/ThinkingSpec/CachingSpec/Pricing data types). Each report's closing "Implications for PluggableHarness Agent" section makes non-authoritative, recommendation-grade observations about building that vendor's specific plugin adapter, cross-referenced into the protocol spec by heading anchor.

Confidence varies sharply by vendor: Anthropic's roster and behavior are well-established throughout; the other three vendors' data is internally consistent but leaves "uncertain" fields genuinely uncertain rather than smoothed over. Within a single vendor, confidence also tracks how flagship a model is — a newest/most-prominent model is typically fully specified, while smaller, newer, or less-visible variants (mini/flash/codex/realtime/build variants) are frequently "uncertain" across most fields. Each report's own "Confirmed vs. uncertain" section is the authoritative account of this per vendor — don't assume parity between a flagship and its siblings just because they share a naming prefix.

Reports#

Vendor Report Confidence Notable gap to know about
Anthropic anthropic.md High — well-established One model (claude-3-5-sonnet-20241022) is retired and must not appear in a live roster
OpenAI openai.md Mixed — flagship trio solid, most other models thin Streaming support is uncertain even for current flagships; the gpt-realtime-* family likely needs a separate (WebSocket) transport, not the standard StreamCompletion path
Google (Gemini) google.md Mixed — 3.x flagship solid, 2.5/1.5 generations thin Runs two prompt-caching modes concurrently (implicit + explicit), which the protocol's single-value CachingSpec.mode can't fully represent
xAI (Grok) xai.md Mixed — wire/auth/reasoning solid, several roster fields open Reasoning cannot be disabled on any Grok model; tool-result submission wire shape is inferred (unconfirmed), not directly documented

Each report follows the same six-section structure:

  1. Overview — the vendor, its model-family naming scheme, and anything distinctive about its API philosophy relevant to a plugin author.
  2. Model roster & capabilities — per-model table (context window, max output, tool use, vision, streaming, notes), confirmed/uncertain stated honestly per cell.
  3. Reasoning & prompt caching — how extended-thinking control and prompt-caching work for this vendor, including model-to-model variation.
  4. Wire format & auth — tool-call wire shape (call emission and result submission), auth mechanism, rate-limit behavior.
  5. Confirmed vs. uncertain — an honest accounting of what's solid versus what needs independent verification before a plugin adapter relies on it.
  6. Implications for PluggableHarness Agent — non-authoritative design recommendations mapping this vendor's real behavior onto the protocol's concrete data types and RPCs, with the governing spec file+anchor named explicitly.