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129 lines
3.8 KiB
YAML
Executable File
129 lines
3.8 KiB
YAML
Executable File
version: 0.4.0
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graph:
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id: reflexion_loop
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description: Reflexion loop subgraph with actor/evaluator and memory storage.
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log_level: INFO
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is_majority_voting: false
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start:
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- Task
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end:
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- Final Synthesizer
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memory:
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- name: reflexion_blackboard
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type: blackboard
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config:
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max_items: 500
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nodes:
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- id: Task
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type: passthrough
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config: {}
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- id: Reflexion Actor
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type: agent
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description: Actor (πθ) generates a strategy draft based on blackboard experience and short-term context.
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config:
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provider: openai
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base_url: ${BASE_URL}
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api_key: ${API_KEY}
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name: gpt-4o-mini
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input_mode: messages
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role: |
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You are the Actor. If there are relevant memories, refer to that experience and output the latest action draft; if there are no relevant memories, provide an action draft to the best of your ability.
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- Structure:
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Thought: ...
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Draft: ...
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memories:
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- name: reflexion_blackboard
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retrieve_stage:
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- gen
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top_k: 5
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read: true
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write: false
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params:
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temperature: 0.2
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max_tokens: 1200
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- id: Reflexion Evaluator
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type: agent
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description: Evaluator (Me) provides scores and improvement directions for the Actor's draft.
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config:
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provider: openai
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base_url: ${BASE_URL}
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api_key: ${API_KEY}
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name: gpt-4o-mini
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input_mode: messages
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role: |
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You are the Evaluator. Receive and read the Actor's latest output and task objectives, and evaluate whether they meet the goals.
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Append `Verdict: CONTINUE` or `Verdict: STOP` at the end of the output.
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When you think the current plan is good enough, you should give `Verdict: STOP`. Other fields can be skipped.
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Output:
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- Score: <0-1>
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- Reason: <Failure reasons or highlights>
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- Next Focus: <Key points to focus on in the next round>
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- Verdict: CONTINUE|STOP
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params:
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temperature: 0.1
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max_tokens: 800
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- id: Self Reflection Writer
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type: agent
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description: Self-Reflection (Msr) converts Evaluator results into reusable experience.
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config:
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provider: openai
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base_url: ${BASE_URL}
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api_key: ${API_KEY}
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name: gpt-4o-mini
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input_mode: messages
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role: |
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You are responsible for refining the Evaluator output and Actor Draft into JSON experience:
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{
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"issues": [..],
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"fix_plan": [..],
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"memory_cue": "A short reminder"
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}
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- JSON must not contain extra text.
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memories:
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- name: reflexion_blackboard
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read: false
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write: true
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params:
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temperature: 0.1
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max_tokens: 500
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- id: Final Synthesizer
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type: agent
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description: Converge the final answer, absorbing the latest Draft and Evaluator tips.
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config:
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provider: openai
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base_url: ${BASE_URL}
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api_key: ${API_KEY}
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name: gpt-4o
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input_mode: messages
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role: |
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Please synthesize all inputs and provide a final answer. Be comprehensive. Do not include any extra text other than the final answer.
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params:
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temperature: 0.1
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max_tokens: 1000
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edges:
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- from: Task
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to: Reflexion Actor
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keep_message: True
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- from: Task
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to: Reflexion Evaluator
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keep_message: True
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trigger: false
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- from: Reflexion Actor
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to: Reflexion Actor
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trigger: false
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- from: Reflexion Actor
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to: Reflexion Evaluator
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- from: Reflexion Evaluator
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to: Self Reflection Writer
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condition: need_reflection_loop
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- from: Self Reflection Writer
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to: Reflexion Actor
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carry_data: true
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- from: Reflexion Actor
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to: Final Synthesizer
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trigger: false
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- from: Reflexion Evaluator
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to: Final Synthesizer
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condition: should_stop_loop
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carry_data: false
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