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What are the key papers?\n\n[ASSISTANT]: Key papers on Mixture of Experts:\n- Switch Transformers (Google, 2021) - simplified MoE routing\n- GShard - scaling to 600B parameters\n- Mixtral (Mistral AI) - open-source MoE model\nThe main advantage is computational efficiency: only a subset of experts is activated per token.\n\n\nCreate a summary with these sections:\n1. **Task Overview**: What is the agent trying to accomplish?\n2. **Current State**: What has been completed so far? What step is the agent on?\n3. **Important Discoveries**: Key facts, data, tool results, or findings that must not be lost.\n4. **Next Steps**: What should the agent do next based on the conversation?\n5. **Context to Preserve**: Any specific values, names, URLs, code snippets, or details referenced in the conversation.\n\nWrap your entire summary in tags.\n\n\n[Your structured summary here]\n"}],"model":"claude-3-5-haiku-latest","stream":false,"system":"You are a precise assistant that creates structured summaries of agent conversations. You preserve critical context needed for seamless task continuation.","temperature":0}' headers: User-Agent: - X-USER-AGENT-XXX accept: - application/json accept-encoding: - ACCEPT-ENCODING-XXX anthropic-version: - '2023-06-01' connection: - keep-alive content-length: - '1870' content-type: - application/json host: - api.anthropic.com x-api-key: - X-API-KEY-XXX x-stainless-arch: - X-STAINLESS-ARCH-XXX x-stainless-async: - 'false' x-stainless-lang: - python x-stainless-os: - X-STAINLESS-OS-XXX x-stainless-package-version: - 0.73.0 x-stainless-retry-count: - '0' x-stainless-runtime: - CPython x-stainless-runtime-version: - 3.13.3 x-stainless-timeout: - NOT_GIVEN method: POST uri: https://api.anthropic.com/v1/messages response: body: string: '{"model":"claude-3-5-haiku-20241022","id":"msg_01SK3LP6RedPBmpvD1HfKD23","type":"message","role":"assistant","content":[{"type":"text","text":"\n1. **Task Overview**:\n- Research latest developments in large language models\n- Focus on architecture improvements and training techniques\n\n2. **Current State**:\n- Initial research completed on broad developments\n- Currently exploring Mixture of Experts (MoE) architectures in depth\n- Detailed discussion of key MoE research papers initiated\n\n3. **Important Discoveries**:\nMoE Architecture Insights:\n- Computational efficiency through selective expert activation\n- Key research papers:\n * Switch Transformers (Google, 2021)\n * GShard\n * Mixtral (Mistral AI)\n- Main benefit: Only subset of experts activated per token\n\n4. **Next Steps**:\n- Conduct deeper analysis of MoE architecture mechanisms\n- Compare routing strategies across different MoE implementations\n- Investigate performance metrics and scalability of MoE models\n\n5. **Context to Preserve**:\n- Research Focus: Large Language Model Architectures\n- Specific Interest: Mixture of Experts (MoE) Architectures\n- Key Researchers/Organizations: Google, Mistral AI\n- Years of Significant Papers: 2021 onwards\n"}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":400,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":270,"service_tier":"standard","inference_geo":"not_available"}}' headers: CF-RAY: - CF-RAY-XXX Connection: - keep-alive Content-Security-Policy: - CSP-FILTERED Content-Type: - application/json Date: - Mon, 09 Feb 2026 20:18:41 GMT Server: - cloudflare Transfer-Encoding: - chunked X-Robots-Tag: - none anthropic-organization-id: - ANTHROPIC-ORGANIZATION-ID-XXX anthropic-ratelimit-input-tokens-limit: - ANTHROPIC-RATELIMIT-INPUT-TOKENS-LIMIT-XXX anthropic-ratelimit-input-tokens-remaining: - ANTHROPIC-RATELIMIT-INPUT-TOKENS-REMAINING-XXX anthropic-ratelimit-input-tokens-reset: - ANTHROPIC-RATELIMIT-INPUT-TOKENS-RESET-XXX anthropic-ratelimit-output-tokens-limit: - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-LIMIT-XXX anthropic-ratelimit-output-tokens-remaining: - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-REMAINING-XXX anthropic-ratelimit-output-tokens-reset: - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-RESET-XXX anthropic-ratelimit-requests-limit: - '4000' anthropic-ratelimit-requests-remaining: - '3999' anthropic-ratelimit-requests-reset: - '2026-02-09T20:18:35Z' anthropic-ratelimit-tokens-limit: - ANTHROPIC-RATELIMIT-TOKENS-LIMIT-XXX anthropic-ratelimit-tokens-remaining: - ANTHROPIC-RATELIMIT-TOKENS-REMAINING-XXX anthropic-ratelimit-tokens-reset: - ANTHROPIC-RATELIMIT-TOKENS-RESET-XXX cf-cache-status: - DYNAMIC request-id: - REQUEST-ID-XXX strict-transport-security: - STS-XXX x-envoy-upstream-service-time: - '5639' status: code: 200 message: OK version: 1