- personal_deep_research.toml: add schedule_value="" for template test compat
- test_deep_research_tools_wiring: skip when fastapi not installed in CI
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Add deep_research_agent parameter to ChannelBridge.__init__ and update
_handle_chat to try DeepResearchAgent first, falling back to system.ask()
when no research agent is configured.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Resolve tool names from config["tools"] into actual tool instances
using ToolRegistry, inject runtime deps, and pass them to the agent
constructor instead of hardcoded tools=[].
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Replace the recompute approach from #146 with per-token outlier
detection. Entries whose energy, FLOPs, or dollar savings exceed
generous per-token thresholds (~1000x legitimate values) are hidden
from the leaderboard entirely. All displayed values come directly
from the database — no rewriting of submitted data.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Sub-project A spec covering: 2-step wizard, smart template defaults,
rich system prompt templates, tool wiring fix, recommended model
endpoint, and Advanced settings collapse.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Teaches the agent to expand abstract/categorical queries into concrete
search terms using strategies (category→instances, synonyms, broader/narrower,
context clues) rather than hardcoded examples.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Energy and FLOPs are now derived from total_tokens on the leaderboard
display using Claude Opus 4.6 constants, rather than trusting submitted
DB values. This prevents gaming (e.g. TotallyNoire submitting 14B Wh
from 15M tokens). Dollar savings are clamped at the theoretical max
($25/1M tokens) on both the leaderboard and frontend submission side.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Comprehensive step-by-step guide covering Homebrew, uv, Rust, llama.cpp,
model download, Python 3.12 pin (PyO3 compat), and common pitfalls.
Cherry-picked from PR #131 by @gridworks — cleaned up to include only
the docs content (removed duplicate files, binary artifacts, and
unrelated lockfile changes from the original PR).
Co-Authored-By: gridworks <5502067+gridworks@users.noreply.github.com>
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Companion to #143 which fixed the frontend to use Claude Opus 4.6 as
the sole baseline. This migration recomputes existing Supabase rows
using the exact closed-form: new = T/3.8M + 10*old/19, derived from
the original triple-provider formula.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Remove cent sign from cost display, use $X.XXXX format
- Compact stat cards (horizontal icon+value layout)
- Tighter config grid spacing with bolder labels
- Reduce padding and gaps throughout overview tab
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Dollar savings were previously summed across all three cloud providers
(GPT-5.3 + Claude Opus 4.6 + Gemini 3.1 Pro), inflating the reported
number by ~3x. Now uses only Claude Opus 4.6 pricing as the baseline,
with an asterisk footnote on the leaderboard explaining this.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Adds `codex/` prefixed model support using the OpenAI Responses API —
the same protocol used by zeroclaw and other Codex-compatible tools.
Live-tested against gpt-5-mini-2025-08-07 with:
- Generate (non-streaming): confirmed working
- System prompt → instructions mapping: confirmed working
- SSE streaming: confirmed working (9 chunks)
- End-to-end via `jarvis ask`: confirmed working
Implementation:
- Default endpoint: api.openai.com/v1/responses (standard API key)
- Override via OPENAI_CODEX_BASE_URL for ChatGPT OAuth tokens
(e.g. chatgpt.com/backend-api/codex)
- Auth via OPENAI_CODEX_API_KEY env var
- Responses API format: input array, instructions field, output_text extraction
- Handles reasoning+message output blocks correctly
- SSE streaming parses response.output_text.delta events
Models: codex/gpt-4o, codex/gpt-4o-mini, codex/o3-mini,
codex/gpt-5-mini, codex/gpt-5-mini-2025-08-07
Usage:
export OPENAI_CODEX_API_KEY="your-api-key-or-oauth-token"
jarvis ask "Hello" --model codex/gpt-5-mini-2025-08-07
Closes#134
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Overview tab:
- Show Intelligence (model name) with click-to-change dropdown
- Split "Total Tokens" into "Input Tokens" and "Output Tokens"
- Model can be switched for existing agents via dropdown
Backend:
- Add input_tokens/output_tokens columns to managed_agents
- Track prompt_tokens and completion_tokens separately in executor
- Disable Ollama thinking by default (think:false) to prevent
empty responses from token exhaustion
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
