chore: Add initial project specs#249
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WalkthroughThis PR adds comprehensive specification documentation for the LightSpeed Evaluation Framework, establishing both behavioral rules ( ChangesLightSpeed Evaluation Framework Specification Documentation
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Actionable comments posted: 4
🤖 Prompt for all review comments with AI agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
Inline comments:
In @.ai/spec/how/metrics-implementation.md:
- Line 42: Update the integration contract text to correct the method names: for
the interaction between ConversationProcessor and MetricManager keep "Calls
resolve_metrics()" but replace the incorrect "MetricsEvaluator calls
get_metadata() for thresholds" with a precise description stating that
MetricsEvaluator uses MetricManager.get_effective_threshold(...) to obtain
threshold values and MetricManager.get_metric_metadata(...) for metric metadata
retrieval; reference ConversationProcessor, MetricManager, resolve_metrics(),
MetricManager.get_effective_threshold(...), and get_metric_metadata(...) so
contributors can locate the implementations.
In @.ai/spec/what/agent-drivers.md:
- Line 12: The sentence should be changed to clarify that AgentDriverRegistry
(the class-based registry used in AgentDriverRegistry in src code) is keyed by
driver "type" (e.g., "http_api") while conversations/agent selection use a
configured agent ID; update the wording to explicitly split these concerns and
reference the registry API symbols AGENT_DRIVERS and create_driver() so readers
know drivers are looked up by type via AGENT_DRIVERS/create_driver() and
conversations pick an agent by agent ID with a fallback to the default agent.
In @.ai/spec/what/evaluation-pipeline.md:
- Around line 31-32: Update the text to accurately reflect that API/Agent errors
do more than mark a single turn: they mark the current turn as ERROR and then
cascade ERROR status to all remaining turns and to conversation-level metrics
via ConversationProcessor._handle_api_error; change the sentence that currently
reads “mark all metrics for that turn as ERROR” to explicitly state this cascade
to remaining turns and conversation-level metrics and reference
ConversationProcessor._handle_api_error as the implementing behavior.
In @.ai/spec/what/metrics.md:
- Line 35: Update the inaccurate sentence to state that required-data gating
occurs during metric evaluation in MetricsEvaluator (post-agent enrichment) and
that DataValidator is intentionally scoped to only validate explicitly provided
user evaluation data rather than resolved/default metric requirements; reference
MetricsEvaluator and DataValidator by name in the revised wording so readers
know where each responsibility lives.
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Fix all unresolved CodeRabbit comments on this PR:
- Push a commit to this branch (recommended)
- Create a new PR with the fixes
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📒 Files selected for processing (12)
.ai/spec/README.md.ai/spec/how/agent-drivers.md.ai/spec/how/configuration-and-models.md.ai/spec/how/metrics-implementation.md.ai/spec/how/output-and-storage.md.ai/spec/how/project-structure.md.ai/spec/what/agent-drivers.md.ai/spec/what/evaluation-pipeline.md.ai/spec/what/llm-and-judges.md.ai/spec/what/metrics.md.ai/spec/what/output-and-reporting.md.ai/spec/what/system-overview.md
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Actionable comments posted: 1
🤖 Prompt for all review comments with AI agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
Inline comments:
In @.ai/spec/what/system-overview.md:
- Around line 31-32: There is a contradiction between the system overview
statement that "setup script failures similarly mark all metrics as ERROR" and
the evaluation-pipeline description that setup failures only "mark all metrics
for that turn as ERROR"; decide which behavior is correct and make the two specs
consistent: either remove the word "similarly" and clarify in the system
overview that setup script failures only mark metrics for the current turn as
ERROR, or update the evaluation-pipeline text to state that setup failures
cascade to remaining turns and conversation-level metrics; update the relevant
sentences in both documents so they match exactly and add a short clarifying
phrase indicating whether cascade beyond the current turn occurs.
🪄 Autofix (Beta)
Fix all unresolved CodeRabbit comments on this PR:
- Push a commit to this branch (recommended)
- Create a new PR with the fixes
ℹ️ Review info
⚙️ Run configuration
Configuration used: Path: .coderabbit.yaml
Review profile: CHILL
Plan: Pro
Run ID: dc5158bb-54f8-4637-ac0a-e1ea832fc7f9
📒 Files selected for processing (12)
.ai/spec/README.md.ai/spec/how/agent-drivers.md.ai/spec/how/configuration-and-models.md.ai/spec/how/metrics-implementation.md.ai/spec/how/output-and-storage.md.ai/spec/how/project-structure.md.ai/spec/what/agent-drivers.md.ai/spec/what/evaluation-pipeline.md.ai/spec/what/llm-and-judges.md.ai/spec/what/metrics.md.ai/spec/what/output-and-reporting.md.ai/spec/what/system-overview.md
✅ Files skipped from review due to trivial changes (7)
- .ai/spec/README.md
- .ai/spec/how/project-structure.md
- .ai/spec/how/agent-drivers.md
- .ai/spec/what/metrics.md
- .ai/spec/how/configuration-and-models.md
- .ai/spec/how/metrics-implementation.md
- .ai/spec/what/agent-drivers.md
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Description
Add project specification covering WHAT and HOW for better AI context.
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