// Use when replaying sanitized client tool-calling fixtures against Chat2API with client-specific pass/fail rules.
| name | chat2api-tool-client-replay |
| description | Use when replaying sanitized client tool-calling fixtures against Chat2API with client-specific pass/fail rules. |
Use this skill to replay fixture scenarios for clients such as Cherry Studio, generic OpenAI tools, or unknown HAR-derived clients.
CHAT2API_API_KEY=sk_xxx \
node skills/chat2api-tool-client-replay/scripts/replay-client-fixture.mjs \
--fixture backup/har/cherry-studio-fixture.json \
--profile cherry-studio \
--model deepseek-v4-flash
Use --dry-run to check profile, model, and fixture selection without live requests. If the fixture file exists, dry-run parses the fixture schema and reports fixtureExists plus scenarioCount; if it is missing, dry-run still exits successfully with fixtureExists: false.
cherry-studio: Cherry Studio headers and visible prompt-tool-use expectations.openai-tools: generic OpenAI-compatible tool-calling expectations.custom-har: empty client headers for replaying sanitized HAR-derived fixtures.Use when converting OpenAI-compatible client HAR files into sanitized replayable Chat2API tool-calling fixtures.
Use when operating Chat2API Manager's management API for testing, including health checks, config snapshots, temporary API keys, model mappings, sessions, logs, and cleanup verification.
Use when running Chat2API provider and model matrix tests using live /v1/models discovery and management API attribution.
Use when validating Chat2API Manager proxy behavior across dialogue, tool calling, context, provider routing, request logs, and live client replay workflows.