Add AI-powered evidence description generation
Introduce a background worker that automatically generates compliance-focused descriptions for uploaded evidence files using configurable LLM providers. Descriptions are surfaced across all interfaces: GraphQL API, MCP API, CLI, and the console UI. Key changes: - Multi-provider LLM config with per-agent settings (pointer types for Temperature/MaxTokens to preserve zero values) - Evidence description worker with bounded concurrency - EvidenceDescriptionStatus typed enum with PostgreSQL enum type - New `prb evidence` CLI commands (list, view, delete) - Evidence description displayed in console table and preview - Migration only marks evidences without files as completed Signed-off-by: Bryan Frimin <bryan@getprobo.com>
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81
pkg/evidencedescriber/evidencedescriber.go
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81
pkg/evidencedescriber/evidencedescriber.go
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// Copyright (c) 2025-2026 Probo Inc <hello@getprobo.com>.
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//
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// Permission to use, copy, modify, and/or distribute this software for any
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// purpose with or without fee is hereby granted, provided that the above
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// copyright notice and this permission notice appear in all copies.
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//
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// THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH
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// REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY
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// AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,
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// INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM
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// LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR
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// OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR
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// PERFORMANCE OF THIS SOFTWARE.
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package evidencedescriber
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import (
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"context"
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_ "embed"
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"fmt"
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"go.probo.inc/probo/pkg/agent"
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"go.probo.inc/probo/pkg/llm"
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)
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//go:embed prompt.txt
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var systemPrompt string
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type (
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Config struct {
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Model string
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Temp float64
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MaxTokens int
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}
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Describer struct {
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client *llm.Client
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config Config
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}
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)
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func New(client *llm.Client, cfg Config) *Describer {
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return &Describer{
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client: client,
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config: cfg,
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}
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}
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func (d *Describer) Describe(ctx context.Context, filename string, mimeType string, fileBase64 string) (*string, error) {
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ag := agent.New(
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"evidence_describer",
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d.client,
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agent.WithInstructions(systemPrompt),
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agent.WithModel(d.config.Model),
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agent.WithTemperature(d.config.Temp),
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agent.WithMaxTokens(d.config.MaxTokens),
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)
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result, err := ag.Run(
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ctx,
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[]llm.Message{
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{
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Role: llm.RoleUser,
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Parts: []llm.Part{
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llm.TextPart{Text: fmt.Sprintf("Filename: %s", filename)},
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llm.FilePart{
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Data: fileBase64,
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MimeType: mimeType,
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Filename: filename,
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},
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},
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},
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},
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)
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if err != nil {
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return nil, fmt.Errorf("cannot describe evidence: %w", err)
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}
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text := result.FinalMessage().Text()
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return &text, nil
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}
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