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5 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
| a744cdc335 | |||
| 8b924700fb | |||
| 51f5ea0d2b | |||
| a457e76ac7 | |||
| 78a1d1c3bb |
@@ -1,12 +1,8 @@
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# Gadfly — agentic adversarial PR reviewer (https://gitea.stevedudenhoeffer.com/steve/gadfly).
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#
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# Runs the published Gadfly image (pinned to an immutable :sha- tag — act_runner
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# caches :latest, and this build is what carries foreman provider-type support)
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# as a specialist swarm and posts
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# ONE consolidated review comment as gitea-actions. Advisory only — never blocks a
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# merge. This reviews majordomo PRs with 6 ollama-cloud models (3-lens suite).
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# Gadfly is a simple system — findings are advisory; always double-check before
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# acting.
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# Gadfly adversarial review — subscribes to steve/gadfly's reusable workflow and
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# INHERITS its default swarm. This stub holds only the triggers, the actor gate,
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# secret forwarding, and the allow-list; the swarm config (models, lenses,
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# concurrency, timeouts) lives centrally in gadfly's review-reusable.yml so it is
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# tuned in ONE place. Advisory only — never blocks a merge.
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name: Adversarial Review (Gadfly)
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@@ -33,50 +29,26 @@ concurrency:
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jobs:
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review:
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# Security: only trusted users may trigger a secret-bearing run via a PR
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# comment (pull_request + workflow_dispatch are already trusted). Mirrors
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# GADFLY_ALLOWED_USERS, the in-container belt-and-suspenders check.
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# comment (pull_request + workflow_dispatch are already trusted). Mirrors the
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# allowed_users input below (the in-container belt-and-suspenders check) — both
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# lists must stay in sync; a workflow if: can't read a workflow_call input.
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if: >-
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github.event_name != 'issue_comment'
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|| (github.event.issue.pull_request
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&& (github.actor == 'steve'
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|| github.actor == 'fizi'
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|| github.actor == 'dazed'))
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runs-on: ubuntu-latest
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# Fleet: 6 ollama-cloud models (lens fan-out), no local Macs. (Trimmed the
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# weakest reviewers by grade — m5/qwen3.6, gemma4, gpt-oss, kimi-k2.7 — plus
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# the earlier M1 drop.) Plenty of headroom for the cloud lanes.
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timeout-minutes: 45
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steps:
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- uses: docker://gitea.stevedudenhoeffer.com/steve/gadfly:sha-d7f364d
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env:
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GITEA_API: ${{ github.server_url }}/api/v1/repos/${{ github.repository }}
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GITEA_TOKEN: ${{ secrets.GITEA_TOKEN }}
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OLLAMA_CLOUD_API_KEY: ${{ secrets.OLLAMA_CLOUD_API_KEY }}
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# Cloud-only fleet (no local Macs). Cloud concurrency lives in the
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# LENSES: models run a few at a time (ollama-cloud=3) with their 3 lenses
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# concurrent (LENS ollama-cloud=3) so comments land sooner.
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GADFLY_MODELS: "minimax-m3:cloud,glm-5.2:cloud,glm-5.1:cloud,deepseek-v4-pro:cloud,nemotron-3-super:cloud,qwen3-coder:480b-cloud"
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GADFLY_PROVIDER_CONCURRENCY: "ollama-cloud=3"
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GADFLY_PROVIDER_LENS_CONCURRENCY: "ollama-cloud=3"
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# Default => the 3-lens suite (security, correctness, error-handling).
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# Set the repo var GADFLY_SPECIALISTS to override (csv / "all" / "auto").
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GADFLY_SPECIALISTS: ${{ vars.GADFLY_SPECIALISTS || 'security,correctness,error-handling' }}
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# Per-lens deadline + bounded steps to keep each reviewer's run sane.
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GADFLY_TIMEOUT_SECS: "600"
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GADFLY_MAX_STEPS: "14"
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# Allow-list for the comment trigger (mirrors the job-level if: guard).
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GADFLY_ALLOWED_USERS: "steve,fizi,dazed"
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# --- findings telemetry: POST runs + findings to the gadfly-reports store ---
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# Advisory & off unless GADFLY_FINDINGS_URL is set; failures only log to
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# stderr and never affect the review. GADFLY_REPO / GADFLY_PR are derived
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# in-container; the URL + token are user-scope secrets.
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GADFLY_FINDINGS_URL: ${{ secrets.GADFLY_FINDINGS_URL }}
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GADFLY_FINDINGS_TOKEN: ${{ secrets.GADFLY_FINDINGS_TOKEN }}
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# --- event context (leave as-is) ---
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EVENT_NAME: ${{ github.event_name }}
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PR: ${{ github.event.pull_request.number || github.event.issue.number || github.event.inputs.pr_number }}
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PR_BRANCH: ${{ github.head_ref }}
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IS_DRAFT: ${{ github.event.pull_request.draft }}
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COMMENT_BODY: ${{ github.event.comment.body }}
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COMMENT_ID: ${{ github.event.comment.id }}
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ACTOR: ${{ github.actor }}
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# Tracks gadfly's v1 release tag — a curated pointer re-moved on each release
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# (unlike @main, which moves on every push). Central swarm tuning propagates
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# here automatically; the tradeoff vs a full sha pin is that v1 is mutable.
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uses: steve/gadfly/.gitea/workflows/review-reusable.yml@7bc3c982fa7b72367034c673f7812bf05e9c503e
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# Least privilege: forward only the review secrets (not `secrets: inherit`,
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# which would expose every repo secret). GITEA_TOKEN is the automatic token.
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secrets:
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OLLAMA_CLOUD_API_KEY: ${{ secrets.OLLAMA_CLOUD_API_KEY }}
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CLAUDE_CODE_OAUTH_TOKEN: ${{ secrets.CLAUDE_CODE_OAUTH_TOKEN }}
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GADFLY_FINDINGS_URL: ${{ secrets.GADFLY_FINDINGS_URL }}
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GADFLY_FINDINGS_TOKEN: ${{ secrets.GADFLY_FINDINGS_TOKEN }}
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with:
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# Consumer-specific allow-list; everything else is inherited.
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allowed_users: "steve,fizi,dazed"
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@@ -142,9 +142,11 @@ Ship work through PRs and let Gadfly review it before merge:
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- **Push to a PR, never straight to `main`.** Branch, push, open a PR.
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`.gitea/workflows/adversarial-review.yml` runs Gadfly (the standalone
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agentic adversarial reviewer) — a fleet of 6 ollama-cloud models, each
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running the 3-lens suite (security, correctness, error-handling). Advisory
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only; it never blocks the merge.
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agentic adversarial reviewer) by subscribing to gadfly's reusable workflow
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and inheriting its default swarm — 3 cloud models + the Claude Code engine
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(sonnet/opus/opus:max), each running the 5-lens suite (security, correctness,
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maintainability, performance, error-handling). The swarm is tuned centrally
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in gadfly, not here. Advisory only; it never blocks the merge.
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- **Wait for Gadfly to finish, then read its output.** Don't merge while the
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review is still running. Each model posts one consolidated comment; weigh
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every finding on its merits and fix the real ones (Gadfly is a simple
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@@ -42,3 +42,13 @@ asked for "a new ai image interface as opposed to llm".
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callers (additive fields/options).
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- No health/failover for image models yet; if needed it can be added as a
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separate chain type rather than retrofitting the chat chain.
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## Update — optional per-request settings
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`Request` gained additive optional overrides — `Steps *int`, `CFGScale *float64`,
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`NegativePrompt string`, `Sampler string`, `Seed *int64` — with mirror options
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(`WithSteps`, …). nil/"" means "leave the backend's per-model default", so the v1
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contract is unchanged for callers that don't set them. `provider/llamaswap`
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forwards them to sd-server as `steps`/`cfg_scale`/`negative_prompt`/`sample_method`/
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`seed` (omitempty). This realizes the "seeds/steps … additive fields" note above;
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img2img/masks/streaming remain deferred.
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@@ -38,6 +38,29 @@ type Request struct {
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// Size is the requested resolution, e.g. "512x512" or "1024x1024";
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// "" = provider default.
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Size string
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// The fields below are optional per-request overrides. Their zero value
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// (nil pointer or empty string) means "leave the backend's own default" —
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// for stable-diffusion.cpp that is the per-model default baked into the
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// llama-swap launch flags. A caller overrides only what it explicitly sets.
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// Steps is the number of diffusion steps; nil = backend default.
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Steps *int
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// CFGScale is the classifier-free-guidance scale; nil = backend default.
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// Architecture-sensitive (SDXL likes ~7, Flux wants 1), so prefer leaving
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// it nil unless the caller knows the target model.
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CFGScale *float64
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// NegativePrompt steers generation away from concepts; "" = none.
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NegativePrompt string
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// Sampler selects the sampling method (e.g. "euler", "euler_a");
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// "" = backend default.
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Sampler string
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// Seed fixes the RNG seed for reproducible output; nil = random.
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Seed *int64
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}
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// Result is the canonical image-generation result.
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@@ -60,6 +83,21 @@ func WithN(n int) Option { return func(r *Request) { r.N = n } }
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// WithSize sets the requested resolution (e.g. "1024x1024").
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func WithSize(size string) Option { return func(r *Request) { r.Size = size } }
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// WithSteps overrides the number of diffusion steps.
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func WithSteps(n int) Option { return func(r *Request) { r.Steps = &n } }
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// WithCFGScale overrides the classifier-free-guidance scale.
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func WithCFGScale(s float64) Option { return func(r *Request) { r.CFGScale = &s } }
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// WithNegativePrompt sets a negative prompt.
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func WithNegativePrompt(s string) Option { return func(r *Request) { r.NegativePrompt = s } }
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// WithSampler overrides the sampling method (e.g. "euler", "euler_a").
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func WithSampler(s string) Option { return func(r *Request) { r.Sampler = s } }
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// WithSeed fixes the RNG seed for reproducible output.
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func WithSeed(seed int64) Option { return func(r *Request) { r.Seed = &seed } }
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// Apply returns a copy of the request with all options applied. Providers call
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// this once at the top of Generate.
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func (r Request) Apply(opts ...Option) Request {
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@@ -27,14 +27,23 @@ type imageModel struct {
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id string
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}
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// imageRequest is the OpenAI /v1/images/generations request shape. We always
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// request b64_json so the bytes come back inline (no second fetch).
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// imageRequest is the OpenAI /v1/images/generations request shape, plus the
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// stable-diffusion.cpp extras llama-swap forwards to sd-server. We always
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// request b64_json so the bytes come back inline (no second fetch). The
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// optional fields are pointers/omitempty so an unset value is omitted entirely
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// and sd-server falls back to the model's own default (a field name a given
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// sd-server build doesn't recognize is simply ignored — harmless).
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type imageRequest struct {
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Model string `json:"model"`
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Prompt string `json:"prompt"`
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N int `json:"n,omitempty"`
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Size string `json:"size,omitempty"`
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ResponseFormat string `json:"response_format"`
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Model string `json:"model"`
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Prompt string `json:"prompt"`
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N int `json:"n,omitempty"`
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Size string `json:"size,omitempty"`
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ResponseFormat string `json:"response_format"`
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Steps *int `json:"steps,omitempty"`
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CFGScale *float64 `json:"cfg_scale,omitempty"`
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NegativePrompt string `json:"negative_prompt,omitempty"`
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SampleMethod string `json:"sample_method,omitempty"`
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Seed *int64 `json:"seed,omitempty"`
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}
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type imageResponse struct {
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@@ -61,6 +70,11 @@ func (m *imageModel) Generate(ctx context.Context, req imagegen.Request, opts ..
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N: req.N,
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Size: req.Size,
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ResponseFormat: "b64_json",
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Steps: req.Steps,
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CFGScale: req.CFGScale,
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NegativePrompt: req.NegativePrompt,
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SampleMethod: req.Sampler,
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Seed: req.Seed,
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}
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var resp imageResponse
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@@ -201,6 +201,48 @@ func TestImageGenerate(t *testing.T) {
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}
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}
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func TestImageGenerateSettings(t *testing.T) {
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var gotBody map[string]any
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srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
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_ = json.NewDecoder(r.Body).Decode(&gotBody)
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_, _ = w.Write([]byte(`{"created":1,"data":[{"b64_json":"` + onePixelPNG + `"}]}`))
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}))
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defer srv.Close()
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p := New(WithBaseURL(srv.URL), WithHTTPClient(srv.Client()))
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im, _ := p.ImageModel("sd")
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// Unset overrides must be omitted entirely so sd-server keeps its own
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// per-model defaults.
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if _, err := im.Generate(context.Background(), imagegen.Request{Prompt: "x"}); err != nil {
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t.Fatalf("Generate: %v", err)
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}
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for _, k := range []string{"steps", "cfg_scale", "negative_prompt", "sample_method", "seed"} {
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if v, ok := gotBody[k]; ok {
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t.Errorf("unset request sent %q = %v, want omitted", k, v)
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}
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}
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// Set overrides are forwarded with the sd-server-friendly field names.
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gotBody = nil
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_, err := im.Generate(context.Background(), imagegen.Request{Prompt: "x"},
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imagegen.WithSteps(8),
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imagegen.WithCFGScale(3.5),
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imagegen.WithNegativePrompt("blurry"),
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imagegen.WithSampler("euler"),
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imagegen.WithSeed(42),
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)
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if err != nil {
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t.Fatalf("Generate: %v", err)
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}
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want := map[string]any{"steps": float64(8), "cfg_scale": 3.5, "negative_prompt": "blurry", "sample_method": "euler", "seed": float64(42)}
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for k, w := range want {
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if gotBody[k] != w {
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t.Errorf("%s = %v, want %v", k, gotBody[k], w)
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}
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}
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}
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func TestImageGenerateEmptyPrompt(t *testing.T) {
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p := New(WithBaseURL("http://example.invalid"))
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im, _ := p.ImageModel("sd")
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Reference in New Issue
Block a user