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What's New

Changelog and release history for TachiBot MCP. Every release brings new models, tools, and orchestration capabilities.

v2.26.0July 3, 2026Major Expansion

64 Tools — refine_prompt, Setup Wizard & One-Click Desktop Install

  • Prompt stack, modernized — refine_prompt (new tool, cheap/fast model): raw query → goal-first brief + what-changed + open questions, never auto-fires or executes. list_prompt_techniques now defaults to the ~9 core techniques (all=true for the full 31); preview_prompt_technique gained technique="auto" recommendations and its tool param is now optional. In Claude Code, /prompt refine presents open questions as clickable choices
  • Setup, de-mystified — tachibot init (new CLI wizard): detects your API keys and clients, prints the exact config for Claude Code and Claude Desktop, never writes or echoes keys. One-click Claude Desktop install via the .mcpb release asset — no JSON editing
  • 3 new skills — /setup (guided config via doctor), /spec (request → spec), /triage (ranked bug triage). 17 skills total
  • Fixes — focus orchestration output cut from 37 lines of scaffolding to 10 focused lines; GPT-5.5 high-effort reasoning no longer cut off at 3 minutes (timeout 180s → 600s); npm test exits 0 again
  • Profile counts updated — minimal 13, code_focus 42, research_power 35, balanced 53, heavy_coding 57, full 64 (default profile)
v2.25.0July 2, 2026New Tools

63 Tools — debug_triage & spec_writer

  • debug_triage (Grok 4.3) — ranked root-cause hypotheses with likelihoods, the cheapest discriminating check for each, and the minimal fix for the top candidate. Narrows a hypothesis space instead of jumping to one answer
  • spec_writer (GPT-5.5) — turns a loose feature request into a reviewable spec: user stories, Given/When/Then acceptance criteria, out-of-scope, open questions. For sign-off before planning — feed the approved spec to planner_maker
  • tachibot init CLI lands (setup wizard: key/client detection, per-client config emission) — expanded further in v2.26.0
v2.24.0July 1, 2026Major Expansion

61 Tools — Security Review, Test Gen, Diff & Plan Red-Team

  • Four new gap tools — testgen (runnable tests via Qwen3-Coder-Next, edge cases enumerated first), security_review (OWASP/CWE audit via DeepSeek V4 Pro — taint/data-flow analysis, severity + fix per finding), diff_review (multi-model diff-aware review — Kimi K2.7-Code + DeepSeek V4 Pro + GPT-5.5, deduplicated and severity-ranked by a Gemini judge), plan_critique (adversarial plan red-team — pre-mortem, hidden assumptions, ranked risks, Gemini-judged verdict)
  • doctor now documented — zero-cost setup diagnostic added in an earlier release, only now reflected here: detected API keys, visible vs hidden tools (and why), active profile + source, a concrete first command to try
  • 2 new skills — /review (wraps diff_review on your current git diff), /redteam (wraps plan_critique on any plan). 14 skills total
  • Profile counts updated — minimal 13, code_focus 39, research_power 35, balanced 50, heavy_coding 54, full 61 (default profile)
v2.23.3June 17, 2026Model Bump

GLM-5.2 — Long-Horizon Coding, 1M Context

  • GLM-5.1 → GLM-5.2 — z-ai/glm-5.2 (released June 13). Zhipu's open-weights flagship for long-horizon tasks — usable 1M-token context (up from agentic-tier 5.1), two thinking-effort levels (High/Max)
  • Benchmarks up — SWE-Bench Pro 62.1 (from 58.4), Terminal-Bench 2.1 81.0 (from 62.0); beats GPT-5.5 on several long-horizon coding benchmarks at ~1/6 the cost. List price $1.40/$4.40 per M
  • Powers glm_reason and the glm juror. GLM-5.1 kept as quota fallback (GLM-5.2 → GLM-5.1 → GLM-5)
v2.23.2June 15, 2026Model Bump

Kimi K2.7-Code — Coding-Specialized, 262K Context

  • Kimi K2.6 → K2.7-Code — moonshotai/kimi-k2.7-code (released June 12). Coding-specialized variant built on K2.6 — +21.8% on Kimi Code Bench v2 with lower token use, 262K context, native multimodal, always-thinking mode
  • Now powers all Kimi tools — kimi_thinking, kimi_code, kimi_decompose, kimi_long_context and the kimi juror. List price $0.75/$3.50 per M
  • Quota fallback — K2.6 retained (K2.7-Code → K2.6 → K2-Thinking). No general-purpose K2.7 exists yet — the coding-tuned model serves reasoning + long-context too
v2.23.1June 11, 2026Model Bump

MiniMax M3 — 1M Context, Sparse Attention

  • MiniMax M2.7 → M3 — minimax/minimax-m3 (released May 31). 1M-token context (up from 200K), native multimodal, tuned for long-horizon agentic work
  • MSA sparse attention — ~1/20 the compute of the previous generation at 1M context, with faster prefill and decode
  • Same promo pricing — $0.30/$1.20 per M tokens, unchanged from M2.7. Powers minimax_code, minimax_agent, and the minimax juror
  • Quota fallback — M2.7 retained as automatic fallback if M3 hits provider limits
v2.23.0June 11, 2026Refactor

Central Tool Registry + One Honest Local Juror

  • Central scan registry — all provider tools now register through registry.ts + a defineModelTool factory, with golden wire-contract tests locking all 57 tool schemas. Zero behavior change
  • Removed the hermes juror — it was a persona prompt on the same local weights as local. Jury independence comes from different model weights, not different system prompts. hermes stays as a deduped legacy alias; 12 jurors total
v2.22.0June 10, 2026Major Expansion

57 Tools — DeepSeek, GLM, StepFun, ERNIE + Free Local Models

  • Four new reasoning providers — deepseek_reason + deepseek_algo (DeepSeek V4 Pro, top AIME/CodeElo), glm_reason (GLM-5.1, SWE-Bench Pro leader), stepfun_reason (Step 3.7 Flash), ernie_reason (ERNIE 4.5 VL)
  • Free local models — local_query talks to Ollama, LM Studio, llama.cpp, or vLLM. Zero-cost, offline, private; Ollama uses the native API so long contexts work
  • 12-juror panel — jury adds deepseek, glm, stepfun, ernie, and a free offline local juror (runs whatever LOCAL_LLM_MODEL points at, e.g. a Nous Hermes build via Ollama). New lab-diverse default: grok,deepseek,kimi,openai
  • 3 new skills — /lens (256K long-context analysis), /reflect (grounded reflexion), /tot (Tree-of-Thought with jury pruning). 12 skills total
  • Grok 4.3 default (v2.21.4) — 1M context, configurable reasoning effort, cheaper than 4.20. Kimi K2.6 hotfix (v2.21.5) — all call sites off the retired K2.5
v2.21.3May 29, 2026Model Bumps

Gemini 3.5 Flash — New Flash + Search Tier

  • Gemini 3.5 Flash is GA — gemini-3.5-flash shipped at Google I/O (May 19). Agentic/coding focus, 1M context, $1.50/$9 per M. SWE-bench Verified 78.8%
  • Now the Flash + search tier — gemini_search grounding and the flash variant now route to 3.5 Flash
  • Reasoning default unchanged — stays on gemini-3.1-pro-preview. Gemini 3.5 Pro is not out yet (expected June 2026)
v2.21.1April 26, 2026Model Bumps

GPT-5.5 + Kimi K2.6 — Frontier Refresh

  • OpenAI gpt-5.4 → gpt-5.5 — agentic-focused, 1.1M context, omnimodal. Released April 23. gpt-5.5-pro for premium tier ($30/$180)
  • Kimi K2.5 → K2.6 — 1T MoE, leads SWE-bench Pro for long-horizon coding. Released April 20. Auto-fallback to K2.5 on quota errors
  • Qwen3.6-Plus available — qwen/qwen3.6-plus registered ($0.325/$1.95). Coder stays on qwen3-coder-next until 3.6-coder ships
  • API-verified — all model IDs confirmed live via OpenAI /v1/models, OpenRouter, and xAI before release
  • Holding — Grok 5 unreleased (Q2 expected); Gemini 3.5 in preview (May GA at I/O); gpt-5.4-mini retained for code/explain (no 5.5-mini yet)
v2.21.0April 13, 2026UX Fix

Auto-Alias Param Names — LLMs Stop Failing on Wrong Keys

  • Transparent remap — query ↔ problem ↔ prompt ↔ question ↔ topic auto-mapped before Zod validation
  • Zero per-tool changes — one z.preprocess() hook in safeAddTool. Every tool benefits automatically
  • Eliminates -32602 errors — LLMs that reach for the wrong synonym now succeed instead of hard-failing on schema validation
  • 11 unit tests covering directional aliasing, primary-wins, and missing-key behavior
v2.20.0April 10, 2026Model Bump

Grok 4.20 Flagship — Lower Hallucination, 16-Agent Swarm

  • Grok 4 → 4.20 — all defaults moved to flagship: grok-4.20-0309-reasoning for reason/search (low hallucination, 2M ctx)
  • Multi-agent architect — grok_architect now runs grok-4.20-multi-agent-0309 (4–16 parallel agents)
  • Code/debug/brainstorm — non-reasoning variant for fast turn-around on lighter tasks
  • Timeout fixes — AbortController on OpenAI (90s default, 180s high-reasoning) + Grok (60–180s by mode). Stops hung calls dead
  • Cleanup — killed stale grok-4-0709 + gpt-4-mini refs across 6 scattered files
v2.19.1March 21, 2026

MiniMax M2.7 — Self-Evolving AI

  • MiniMax M2.5 → M2.7 — 2,300B MoE (100B active), 200K context. #1 on Artificial Analysis Intelligence Index
  • SWE-Pro 56.22% — matches GPT-5.3-Codex. Multi-SWE-Bench 52.7% (#1, beats Opus 4.6 and GPT-5.4)
  • Same pricing — $0.30/$1.20 per M tokens. Massive quality leap at zero extra cost
v2.18.0March 21, 2026Major Release

AI That Proves Its Work

Stop babysitting LLMs. Deploy a pipeline that reads actual files, cross-examines across five models, and demands passing tests before moving forward.

  • Absolute goal alignment — define success criteria once. The engine verifies every step against your exact goals — drift gets caught at step 1, not step 50
  • No blind spots reach production — 5-model rotation cross-examines code: Gemini deduces, Grok detects drift, GPT validates strategy, Qwen cross-checks, Kimi decomposes
  • Hard evidence, not hallucinated progress — checkpoints demand raw git diffs, passing test results, and modified file lists. Zero reliance on paraphrased summaries
  • Never hit a dead end — structured amendment protocol detects drift, proposes revisions with evidence and impact analysis. You approve before it pivots
  • 39 tools operate in reality — every analysis tool reads actual source code from disk via the files parameter. Models judge implementations, not stories about them
  • Your project gets smarter every run — post-completion reflexion saves architectural lessons to your devlog. Knowledge compounds across sessions
v2.17.2March 21, 2026

Files Parameter Rollout + Smart File Reader

  • files on 8 more tools — grok_architect, grok_brainstorm, openai_explain, openai_search, kimi_code, kimi_long_context, gemini_judge, gemini_brainstorm
  • Directory expansion — pass src/tools/ to read all code files in a directory
  • Smart char budget — multi-file reads distribute tokens across files to prevent context overflow
  • 23 of 37 tools now support the files parameter
v2.17.1March 21, 2026

Smart Task Decomposition

  • kimi_decompose readability overhaul — output now uses OVERVIEW / STRUCTURE / DETAILS / RISKS sections
  • Smart decomposition — infers context, constraints, risks, and measurable criteria automatically
  • Reasoning leak fixed — strips Kimi K2.5 chain-of-thought from output
  • Tuned for format adherence — temp 0.3, 4500 tokens, 360s timeout
v2.17.0March 21, 2026

GPT-5.4-mini + Model Cleanup

  • GPT-5.4-mini — new fast coding model (400k context, $0.75/$4.50 per 1M tokens, SWE-Bench 54.4%)
  • Code tasks upgraded — openai_code_review now uses gpt-5.4-mini — 94% of flagship quality, 70% cheaper
  • GPT-5.3 series retired — gpt-5.3-codex and gpt-5.3 removed; coding capabilities absorbed into gpt-5.4
  • Simplified lineup — gpt-5.4 (flagship), gpt-5.4-mini (coding/fast), gpt-5.4-pro (expert)
v2.16.1March 6, 2026

Gemini 3.1 Pro Migration

  • Gemini 3.1 Pro — migrated from gemini-3-pro-preview to gemini-3.1-pro-preview before March 9 retirement
  • 1M context window — enhanced reasoning capabilities with Gemini 3.1 Pro
  • Stale entries removed — cleaned up old display names and pricing for retired model
v2.16.0March 6, 2026

GPT-5.4 Upgrade + Brainstorm Fix

  • GPT-5.4 default — most capable model (Mar 2026), $2.50/$15 per 1M tokens
  • GPT-5.4-pro — expert model with higher compute ($30/$180 per 1M tokens)
  • GPT-5.3-codex — new agentic coding model for code review tasks
  • Gemini 3.1 Flash-Lite — added as fastest/cheapest option in 3.1 series
  • openai_brainstorm fixed — eliminated fragile duplicate API function; now uses shared retry/fallback logic
  • Token limits bumped — GPT-5.4 reasoning tokens eat into output limit; all OpenAI tools now have higher defaults
v2.15.6February 26, 2026

Full Audit: 6 More Fixes + Cost Optimization

  • 6 tools had required enum anti-pattern — usage_stats, openrouter_multi, gemini_judge, planner_maker, planner_runner, create_workflow. All fixed
  • gemini_judge — had zero required params. Made perspectives required as primary content param
  • perplexity_reason downgraded — sonar-pro ($3/$15/M) → sonar-reasoning ($1/$5/M), 3x cheaper
  • perplexity_research removed — sonar-deep-research ($5/$25/M) was burning $12 in 3 days
  • All 51 tools audited — zero remaining required enum violations
v2.15.5February 26, 2026

Tool Parameter Fixes + Gemini Stability

  • Fixed parameter validation on qwen_coder, kimi_code, minimax_code — AI clients were misusing required enum task param. Added query as required primary param, made task optional with defaults
  • kimi_long_context — task enum now optional (default: analyze)
  • Gemini 3.1 → 3.0 rollback — Reverted to stable gemini-3-pro-preview (3.1 had timeout/503 issues)
  • Gemini timeout 30s → 90s — Pro models need longer than Flash
v2.15.0February 12, 2026

31 Prompt Techniques + /blueprint Skill + MiniMax M2.5

  • 9 new prompt techniques — reflexion (Shinn 2023), react (Yao 2022), scot (Li 2025, +13.79% HumanEval), pre_mortem, rubber_duck, test_driven, pre_post, bdd_spec, least_to_most. Total: 31 techniques
  • /blueprint skill — Multi-model council → bite-sized TDD implementation plans. 7-step pipeline: Grok search → Qwen+Kimi analysis → GPT pre-mortem → Gemini final TDD output
  • MiniMax M2.5 — SWE-Bench 80.2% (was 72.5%). Embedded SCoT, reflexion, rubber_duck techniques. Per-task temperatures
  • Planner → writing-plans bridge — planner_maker now outputs bite-sized TDD steps (exact files, test-first, commit points)
  • Enhanced skills — /breakdown uses least_to_most + pre_mortem, /judge adds pre-mortem to critique, /decompose adds contracts, /prompt auto-recommends from 30 intents
  • 51 tools across 7 providers, 9 skills for Claude Code
v2.14.7February 5, 2026

Gemini Judge + Multi-Model Jury

  • gemini_judge — Science-backed LLM-as-a-Judge evaluation (arXiv:2411.15594). 4 modes: synthesize, evaluate, rank, resolve
  • jury — Multi-model jury panel. Configurable jurors (grok, openai, qwen, kimi, perplexity, minimax) run in parallel, Gemini synthesizes verdict. Based on "Replacing Judges with Juries" (Cohere, arXiv:2404.18796)
  • Perplexity fix — sonar-pro model ID corrected (was using lightweight sonar by mistake)
  • perplexity_research — Removed in v2.15.6 (cost too high)
  • 51 tools across 7 providers in the full profile
v2.14.6February 5, 2026

Qwen3-Coder-Next

  • qwen_coder upgraded — Qwen3-Coder-Next (80B/3B MoE, 262K context, SWE-Bench >70%)
  • 3x cheaper — $0.07/$0.30 per M tokens (was $0.22/$0.88)
  • 2x context — 262K tokens (was 131K)
  • Auto-fallback — Falls back to legacy 480B coder on provider failure
v2.14.5February 2, 2026

Claude Code Integration

  • Tool annotations — All 51 tools now have MCP-standard annotations for better discovery
  • Token overhead reduced — Stripped ANSI formatting, clean plain text output
  • 25K character safety net — Smart truncation prevents Claude Code context overflow
v2.10January 28, 2026

Multi-Model Planner

  • Multi-model council creates verified implementation plans
  • Model roles — Grok searches ground truth, Qwen analyzes feasibility, GPT-5.2 critiques, Gemini scores quality
  • New models — Kimi K2.5 (multimodal + agent swarm), MiniMax M2.5 (SWE-Bench 80.2%)
  • New tools — qwen_reason, minimax_code, minimax_agent, gemini_search
  • Smart routing — Tool routing based on availability, cost, and quality
v2.8January 20, 2026

Prompt Techniques

  • FocusExecutionService for clean mode orchestration
  • 22 research-backed techniques — first_principles, tree_of_thoughts, council_of_experts, and more
  • Preview before execute — See enhanced prompts before running them
  • Heartbeat support for long-running operations
v2.7.9January 2, 2026

Search Grounding

  • qwen_algo — O(1)-first algorithm analysis with Qwen3-235B-Thinking (235B MoE, LiveCodeBench 91.4)
  • gemini_search — Google Search grounding with dynamic retrieval
  • Format utilities for consistent output across tools
v2.3December 28, 2025

Enhanced Thinking

  • nextThought with finalJudge — Auto-call judge model when session completes
  • Context aliases — Use "none", "recent", "all" instead of magic numbers
  • Context distillation — Compress 8000+ tokens to ~500 (5x savings)
  • usage_stats tool for tracking tool usage and costs
v2.1November 25, 2025

Gateway Mode

  • OpenRouter Gateway — One API key for all models
  • Unified billing through OpenRouter
v2.0October 15, 2025

Major Rewrite

  • Multi-model orchestration rebuilt from scratch
  • Tool profiles for context control
  • YAML workflow engine with variable interpolation
  • 6 AI providers, 31+ tools (now 51 tools across 7 providers)

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