Dragoman

v0.6.0 Feature

This release adds 3 notable features for engineering teams evaluating rollout.

Published 23d LLM Frameworks

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✓ No known CVEs patched in this version

Affected surfaces

breaking_upgrade

ReleasePort's take

Light signal

editorial:auto 13d

The Perplexity `approved_models` regression is fixed by adding fallback model lists in v0.6.0. Additionally, several enhancements and refactorings improve initialization workflows and routing.

Why it matters: Patch to v0.6.0 immediately if you use the Perplexity approved_models feature; benefits from new init guidance and router consolidation can be tested in dev environments.

Summary

AI summary

Fixed Perplexity approved_models regression by adding fallback model lists.

Changes in this release

Type	Severity	Summary	CVE
Feature
Feature	Medium	Native Gemini provider routes through dedicated endpoint with retry and timeout handling. Native Gemini provider routes through dedicated endpoint with retry and timeout handling. Source: llm_adapter@2026-05-21 Confidence: high	—
Feature	Medium	`dragoman init` now installs per-vendor guidance files for each supported vendor. `dragoman init` now installs per-vendor guidance files for each supported vendor. Source: llm_adapter@2026-05-21 Confidence: high	—
Feature	Medium	Claude Code can delegate AgentTool calls to dragoman through agent surface. Claude Code can delegate AgentTool calls to dragoman through agent surface. Source: llm_adapter@2026-05-21 Confidence: high	—
Bugfix	Medium	Perplexity approved_models regression fixed; fallback models declared for empty live discovery. Perplexity approved_models regression fixed; fallback models declared for empty live discovery. Source: llm_adapter@2026-05-21 Confidence: high	—
Refactor
Refactor	Medium	`dragoman init` rewritten as interactive wizard with provider discovery and secret storage. `dragoman init` rewritten as interactive wizard with provider discovery and secret storage. Source: llm_adapter@2026-05-21 Confidence: high	—
Refactor	Medium	Dynamic semantic model registry replaces hardcoded model catalogue. Dynamic semantic model registry replaces hardcoded model catalogue. Source: llm_adapter@2026-05-21 Confidence: low	—
Refactor	Medium	Router consolidation into single `routers/providers.py` module. Router consolidation into single `routers/providers.py` module. Source: llm_adapter@2026-05-21 Confidence: low	—

Full changelog

Supersedes v0.5.0, which has been yanked. 0.5.0 shipped with a dragoman init regression that wrote no approved_models for Perplexity (Sonar API has no /models endpoint, so discovery returned empty and the wizard silently skipped it). Fixed here.

New

Native Gemini provider — Gemini now routes through its own provider, not the OpenAI-compatible shim. Retry logic and timeout handling added alongside.
Vendor agent-memory templates — dragoman init now installs per-vendor guidance files (vendor-anthropic.md, vendor-google.md, vendor-ollama.md, vendor-openai.md, vendor-perplexity.md, vendor-xai.md) so the subagent picks the right model per vendor's strengths.
AgentTool delegation — Claude Code can call dragoman through the agent surface, not just CLI.

Refactored

Dynamic semantic model registry — replaces the hardcoded model catalogue. Models are discovered from each provider's live API where possible, with per-provider fallback lists for surfaces that don't expose one.
dragoman init rewrite — interactive wizard with provider discovery, secret storage, and clean install/uninstall paths.
Router consolidation — single routers/providers.py replaces the per-provider modules.

Fixed

Perplexity approved_models regression — _PROVIDERS entries now declare fallback_models. When live discovery returns empty (as it does for Perplexity's Sonar surface), the fallback list is used. Verified against docs.perplexity.ai/docs/sonar/models.

Install

```bash
pipx install dragoman-ai
dragoman init
```

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