d0f494039a
Added detailed documentation for SEMAPHORE_LIMIT configuration to help users optimize episode processing concurrency based on their LLM provider's rate limits. Changes: 1. **graphiti_mcp_server.py** - Expanded inline comments from 3 lines to 26 lines - Added provider-specific tuning guidelines (OpenAI, Anthropic, Azure, Ollama) - Documented symptoms of too-high/too-low settings - Added monitoring recommendations 2. **README.md** - Expanded "Concurrency and LLM Provider 429 Rate Limit Errors" section - Added tier-specific recommendations for each provider - Explained relationship between episode concurrency and LLM request rates - Added troubleshooting symptoms and monitoring guidance - Included example .env configuration 3. **config.yaml** - Added header comment referencing detailed documentation - Noted default value and suitable use case 4. **.env.example** - Added SEMAPHORE_LIMIT with inline tuning guidelines - Quick reference for all major LLM provider tiers - Cross-reference to README for full details Benefits: - Users can now make informed decisions about concurrency settings - Reduces likelihood of 429 rate limit errors from misconfiguration - Helps users maximize throughput within their rate limits - Provides clear troubleshooting guidance Addresses PR #1024 review comment about magic number documentation. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> |
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| .. | ||
| config-docker-falkordb-combined.yaml | ||
| config-docker-falkordb.yaml | ||
| config-docker-neo4j.yaml | ||
| config.yaml | ||
| mcp_config_stdio_example.json | ||