Liang Jiaqing
be17b0adc5
- llmcore: _cc_system() builds payload system blocks; net 0 lines - half injects assets/cc_system_template.txt (CC fingerprint for relay gateways) - legacy fake_cc_system_prompt=True maps to simple
66 lines
3.7 KiB
Python
66 lines
3.7 KiB
Python
# GenericAgent: copy to mykey.py, uncomment ONE block below, and fill in its three fields.
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# Choose by the provider's API protocol, not the model name; use your provider's URL.
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# Run python agentmain.py or python launch.pyw. Desktop users can also use "Add model".
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# ── Claude / Anthropic-compatible API ──
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# native_claude_config = {
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# 'apibase': 'https://api.anthropic.com', # API URL
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# 'apikey': 'YOUR_API_KEY',
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# 'model': 'YOUR_PROVIDER_MODEL_ID',
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# }
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# For Claude Code relays, add 'claude_compat': 'simple' (legacy 'fake_cc_system_prompt': True maps to simple).
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# ── OpenAI-compatible API (GPT, Gemini, etc., depending on the provider) ──
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# native_oai_config = {
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# 'apibase': 'https://api.openai.com/v1', # API URL
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# 'apikey': 'YOUR_API_KEY',
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# 'model': 'YOUR_PROVIDER_MODEL_ID',
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# }
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# If your provider requires Responses, add 'api_mode': 'responses', inside the dict above.
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# ===== Ready to go. Everything below is optional. =====
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# ── Advanced options: copy needed lines INSIDE your config dict and remove the leading # ──
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# Values below are examples, not defaults. Omitted options are handled by the program.
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# 'name': 'primary', # Display name; defaults to model
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# 'proxy': 'http://127.0.0.1:7890', # HTTP proxy for this model
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# 'read_timeout': 180, # Read timeout in seconds
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# 'timeout': 10, # Connection timeout in seconds
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# 'max_retries': 3, # Request retries
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# 'context_win': 100000, # History trimming window, not a hard model limit
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# 'max_tokens': 32768, # Maximum output tokens
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# 'temperature': 1.0, # Set only if the model supports it
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# 'stream': False, # For providers that do not support streaming
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# 'reasoning_effort': 'high', # Reasoning level; supported values vary by model
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# 'thinking_type': 'adaptive', # Claude thinking: adaptive / enabled / disabled
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# 'thinking_budget_tokens': 32768, # Required when thinking_type='enabled'
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# 'claude_compat': 'half', # Relays requiring CC request format/fingerprint (simple=identity only, half=+CC main prompt)
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# 'api_key_header': 'x-api-key', # Override Claude auth header; also supports bearer
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# 'api_mode': 'responses', # OAI: default is chat_completions; follow provider docs
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# Temporary runtime overrides also work, e.g. /session.reasoning_effort=high
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# ── Multiple models / automatic failover ──
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# Copy a config block; keep the native_claude_config / native_oai_config prefix and add 1, 2, etc.
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# Give each model a unique name. Enable the referenced models before enabling this group.
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# mixin_config = {
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# 'llm_nos': ['primary', 'backup'], # Model names in priority order
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# 'max_retries': 5,
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# 'base_delay': 0.5,
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# }
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# ── Chat platforms (optional; uncomment at file level, NOT inside a model dict) ──
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# Enable only the platforms you need, and replace allowed_users with your own user IDs.
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# tg_bot_token = 'YOUR_TELEGRAM_BOT_TOKEN'
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# tg_allowed_users = [123456789]
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# qq_app_id, qq_app_secret = 'YOUR_APP_ID', 'YOUR_APP_SECRET'
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# qq_allowed_users = ['YOUR_USER_OPENID']
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# fs_app_id, fs_app_secret = 'YOUR_APP_ID', 'YOUR_APP_SECRET'
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# fs_allowed_users = ['YOUR_USER_OPENID']
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# wecom_bot_id, wecom_secret = 'YOUR_BOT_ID', 'YOUR_SECRET'
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# wecom_allowed_users = ['YOUR_USER_ID']
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# dingtalk_client_id, dingtalk_client_secret = 'YOUR_APP_KEY', 'YOUR_APP_SECRET'
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# dingtalk_allowed_users = ['YOUR_STAFF_ID']
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# Langfuse tracing (optional; also outside the model dict)
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# langfuse_config = {'public_key': 'pk-lf-...', 'secret_key': 'sk-lf-...', 'host': 'https://cloud.langfuse.com'}
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