4cf7e8a74a
Refactors MCP server logging and updates testing infrastructure.
- MCP Server:
- Replaced manual logger wrappers with centralized `createLogWrapper` utility.
- Updated direct function calls to use `{ session, mcpLog }` context.
- Removed deprecated `model` parameter from analyze, expand-all, expand-task tools.
- Adjusted MCP tool import paths and parameter descriptions.
- Documentation:
- Modified `docs/configuration.md`.
- Modified `docs/tutorial.md`.
- Testing:
- E2E Script (`run_e2e.sh`):
- Removed `set -e`.
- Added LLM analysis function (`analyze_log_with_llm`) & integration.
- Adjusted test run directory creation timing.
- Added debug echo statements.
- Deleted Unit Tests: Removed `ai-client-factory.test.js`, `ai-client-utils.test.js`, `ai-services.test.js`.
- Modified Fixtures: Updated `scripts/task-complexity-report.json`.
- Dev Scripts:
- Modified `scripts/dev.js`.
10 lines
599 B
Markdown
10 lines
599 B
Markdown
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'task-master-ai': minor
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---
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Tweaks Perplexity AI calls for research mode to max out input tokens and get day-fresh information
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- Forces temp at 0.1 for highly deterministic output, no variations
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- Adds a system prompt to further improve the output
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- Correctly uses the maximum input tokens (8,719, used 8,700) for perplexity
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- Specificies to use a high degree of research across the web
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- Specifies to use information that is as fresh as today; this support stuff like capturing brand new announcements like new GPT models and being able to query for those in research. 🔥
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