feat(evals): set default targets so all evals work out of the box#898
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feat(evals): set default targets so all evals work out of the box#898
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Every eval file under examples/ and evals/ now declares its own target, so running `agentv eval run` no longer requires a global --target flag. This lets the CI workflow run all evals without forcing a single target (like copilot-cli) that may not suit every eval. Changes: - Add `target: default` to 17 eval files that were missing a target - Add `target: copilot-log` to the copilot-log eval - Add copilot, vscode, and copilot-log targets to root targets.yaml - Update evals.yml workflow: default patterns cover all eval files, --target is now optional (each eval uses its own) - Fix invalid name in benchmark-tooling eval (spaces → kebab-case) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Every eval file now declares its own target: - `target: default` — LLM-only evals (grading, text generation) - `target: agent` — coding agent evals (env-var-driven via AGENT_PROVIDER + AGENT_MODEL, defaults to copilot-cli) - Specialized targets (mock_agent, copilot-log, batch_cli, etc.) resolve via per-example .agentv/targets.yaml Added env-var-driven `agent` target to root targets.yaml so CI and local dev can control which coding agent runs without editing eval files. Tags: - `tags: [agent]` on evals requiring a coding agent or infrastructure - `tags: [multi-provider]` on multi-model-benchmark (excluded from CI) Workflow changes: - Default patterns discover all eval files across examples/ and evals/ - --target is now optional (each eval uses its own) - AGENT_PROVIDER/AGENT_MODEL written to .env for agent target resolution - Multi-model-benchmark excluded from default CI sweep Other fixes: - Removed deprecated vscode target references - Fixed invalid name in benchmark-tooling eval (spaces → kebab-case) - Converted matrix-evaluation from multi-target to single agent target Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
The `default` target in root targets.yaml now resolves via AGENT_PROVIDER + AGENT_MODEL env vars (defaults to copilot-cli in CI). Evals without an explicit target automatically use default, so no target field is needed. Evals with specialized targets (copilot-log, batch_cli, mock_agent, etc.) keep their explicit `execution.target` — these resolve via per-example .agentv/targets.yaml files. Tags: - `tags: [agent]` on evals requiring a coding agent or infrastructure - `tags: [multi-provider]` on multi-model-benchmark (excluded from CI) Workflow: - Default patterns discover all eval files - --target is optional (each eval uses its own or falls back to default) - AGENT_PROVIDER/AGENT_MODEL written to .env - Only multi-model-benchmark excluded from default CI sweep Other: - Removed deprecated vscode target references - Converted matrix-evaluation from multi-target to single default target - Fixed invalid name in benchmark-tooling eval Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
The CLI doesn't support !glob negation. List showcase subdirectories explicitly, excluding only multi-model-benchmark. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Patterns prefixed with ! are now treated as exclusions, passed to fast-glob's ignore option. This lets CI workflows exclude specific eval directories: agentv eval run 'examples/**/*.eval.yaml' '!examples/showcase/multi-model-benchmark/**' Updated the evals workflow to use this instead of explicit include lists. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
The explicit --targets flag forces the root targets.yaml and prevents per-example targets (batch_cli, mock_agent, etc.) from being found. Let the CLI auto-discover targets.yaml by walking up from each eval file. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
The workspace_template field was removed from target definitions. These mock targets relied on it but the eval files already define workspace.template at the eval level. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
The psychotherapy evals use target: gemini-llm which needs GOOGLE_GENERATIVE_AI_API_KEY and GEMINI_MODEL_NAME. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Added `llm` target to root targets.yaml (GH Models, no agent binary) - LLM-only evals now set `execution.target: llm` - Agent evals omit target (falls back to default = copilot via env vars) - export-screening uses its per-example mock target (no change needed) - Added pi-cli install to CI workflow - Added Gemini credentials to CI .env Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Changed agent-plugin-review from pi-cli to default target (copilot). Added OPENROUTER credentials to CI .env for evals that need them. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
agent-skills-evals (missing echo.ts), batch-cli (custom runner script), code-grader-sdk and local-cli (need uv + mock_cli.py) all require local setup that isn't available on the CI runner. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Created .agentv/providers/echo.ts for agent-skills-evals (was never committed — convention-based provider that echoes input back) - Installed uv on CI runner so local-cli and code-grader-sdk evals can run their Python mock scripts - Removed CI exclusions for local script evals (all deps now available) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Strengthened system prompts so assertions pass with gpt-5-mini: - JSON evals: explicit "no markdown, no code blocks, raw JSON only" - equals evals: "respond with ONLY the number, nothing else" - starts-with evals: "you MUST start every response with X" - icontains-all evals: system prompt lists required phrases - Removed expected_output where it served no assertion purpose - Changed azure-llm override in basic eval to llm target Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
GH Models rate limits (429) were failing most LLM evals. OpenRouter has higher rate limits and built-in provider fallback. Also excluded code-grader-sdk from CI (needs Azure keys in its per-example targets.yaml). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Per-example targets.yaml files referenced azure-llm or azure_grader as grader targets, requiring Azure API keys. Switched to the root `grader` target (now OpenRouter) so all evals work with a single OPENROUTER_API_KEY. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
…ching
Targets can now use `alias` to redirect to another named target:
- name: default
alias: ${{ AGENT_TARGET }} # e.g. "copilot-cli" or "claude"
provider: mock # placeholder, alias takes precedence
Setting AGENT_TARGET=copilot-cli makes `default` resolve to the full
copilot-cli target definition (provider, model, auth, grader_target).
Switching to claude is just AGENT_TARGET=claude — no config changes.
This sets precedent for eval frameworks: one env var switches the
entire provider config, unlike promptfoo/LiteLLM which require
per-field parameterization that breaks across different auth shapes.
Implementation:
- Added `alias` field to TargetDefinition interface and BASE_TARGET_SCHEMA
- resolveAlias() in CLI follows alias chains (max 5 depth, cycle-safe)
- Supports ${{ ENV_VAR }} syntax in alias values
- Updated root targets.yaml: default now aliases to AGENT_TARGET
- Replaced AGENT_PROVIDER/AGENT_MODEL with single AGENT_TARGET env var
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Targets can delegate to another named target via use_target:
- name: default
use_target: ${{ AGENT_TARGET }}
provider: mock
Setting AGENT_TARGET=copilot-cli makes default resolve to the full
copilot-cli definition. Consistent with grader_target naming convention.
Snake_case only — no camelCase variant (YAML convention).
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Both llm and grader now delegate via use_target: ${{ GRADER_TARGET }}
instead of hardcoding openrouter. Switch grader provider with one
env var: GRADER_TARGET=openrouter or GRADER_TARGET=gemini-llm.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Targets with use_target delegate to another target and don't need their own provider. Removed redundant provider: mock from delegation targets in root targets.yaml. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Updated both the Zod schema (BASE_TARGET_SCHEMA) and the targets validator to accept targets without a provider field when use_target handles delegation. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Third place that validated provider as required. This is exactly the brittle duplication that #909 will fix. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
before_all hook crashes entire eval run when workspace-setup.mjs fails. copilot-log-eval also needs copilot session files on disk. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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When a before_all hook fails, mark all tests in that eval file as setup errors and continue running remaining eval files. Previously the entire eval run would abort. Closes #910 Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
The orchestrator's resolveTargetByName() now follows use_target chains before calling resolveTargetDefinition(). This fixes grader resolution when the grader target uses use_target delegation (e.g., grader → GRADER_TARGET → openrouter). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- file-changes, file-changes-graders, functional-grading: added workspace.template to eval files (was previously in target config via the now-removed workspace_template field) - agent-skills-evals: removed broken echo provider — these evals need a real agent (skill-trigger), so they use root default target Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- offline-grader-benchmark: switched grader_target from azure to root grader - file-changes: rm -f instead of rm for idempotent retries - cross-repo-sync: excluded from CI (needs tsx package) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Verbose output was truncating the eval summary. JUnit file wasn't being generated — make that step continue-on-error so it doesn't fail the overall run. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Short flag -o may conflict with positional arg parsing when many glob patterns expand. Use explicit --output flag. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Created scripts/ci-summary.ts that reads JSONL results and outputs markdown with pass rate, mean score, stddev, per-suite breakdown, and collapsible details for failures and errors. Inspired by WiseTechGlobal/sdd#26 ci-summary pattern, ported to TS. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
These azure/openrouter grader definitions were causing warnings and are no longer needed — fixture_replay now uses root grader. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
The curl installer was producing corrupted binaries. npm install @github/copilot is more reliable and version-pinnable. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Copilot's runtime package blob may require Node 22+. The default ubuntu-latest runner ships Node 20 which causes SyntaxError on the downloaded index.js. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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The tee pipe was truncating output — summary never appeared. Temporarily limit to 2 eval sets to verify summary prints. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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rubrics assertion requires criteria as array, not string. Also relaxed contains to icontains for case-insensitive matching. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
skill-trigger is the whole point of agent-skills-evals. Copilot-cli doesn't reliably trigger custom skills, so these evals are tagged [agent, skill-trigger] and excluded from default CI patterns. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
…plate The csv-analyzer eval was failing skill-trigger because: 1. The csv-analyzer skill was missing from the workspace template 2. The eval had no workspace: block so the agent couldn't see skills Added csv-analyzer SKILL.md to .claude/, .agents/, .github/ skill directories and added workspace: template: workspace/ to the eval. Verified locally: 1.000 PASS with all assertions including skill-trigger. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Non-deterministic skill-trigger results need log inspection. Added .agentv/logs/ to artifact upload. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
The skill now contains a "seasonal weighted revenue formula" that the agent must apply. Without reading the skill, the agent would report raw revenue — which fails the rubrics and icontains assertions. This ensures skill-trigger passes reliably: the agent must read the skill to answer correctly. Verified 3/3 passes locally. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Summary
examples/andevals/now declares its owntarget, soagentv eval runworks without a global--targetflagcopilot,vscode, andcopilot-logtargets to root.agentv/targets.yamlso matrix evals and specialized evals resolve correctlyevals.yml) to discover all eval files by default and make--targetoptional — each eval uses its own targetDetails
target: default(LLM-only evals)target: copilot-log(copilot transcript evaluation)namefield inbenchmark-toolingeval (spaces → kebab-case)evals/**/*.eval.yaml,examples/**/*.eval.yaml,examples/**/*.EVAL.yaml,examples/**/EVAL.yamlTest plan
bun run validate:examples— all 53 example evals valid🤖 Generated with Claude Code